JOURNAL PUBLICATIONS 
 Zhang, X., Oommen, B. J. and Granmo, OC.,
The Design of Absorbing Bayesian Pursuit Algorithms and the Formal Analyses of their EpsilonOptimality. To appear in Pattern Analysis and Applications. (Accepted January 5, 2016).
 Yazidi, A. and Oommen, B. J.,
Novel Discretized Weak Estimators based on the Principles of the "Stochastic Search on the Line" Problem. To appear in IEEE Transactions on Cybernetics. (Accepted September 20, 2015).
 Oommen, B. J., Khoury, R. and Schmidt, A.,
Text Classification Using "Anti"Bayesian Quantile Statisticsbased Classifiers. To appear in Transactions on Computational Collective Intelligence. (Accepted August 31, 2015).
 Polk, S. and Oommen, B. J.,,
On Achieving Historybased Move Ordering in Adversarial Board Games using Adaptive Data Structures. To appear in Transactions on Computational Collective Intelligence. (Accepted October 3, 2015).
 Jiao, L., Zhang, X., Oommen, B. J. and Granmo, OC.,
Optimizing Channel Selection for Cognitive Radio Networks Using a Distributed Bayesian Learning Automatabased Approach. To appear in Applied Intelligence. (Accepted May 5, 2015).
 Zhang, X., Oommen, B. J., Granmo, OC. and Jiao, L.,
A Formal Proof of the EpsilonOptimality of Discretized Pursuit Algorithms. To appear in Applied Intelligence. (Accepted March 26, 2015).
 Li, Y., Oommen, B. J., Ngom, A. and Rueda, L.,
Pattern Classification Using a New Border Identification Paradigm: The Nearest Border Technique. To appear in Neurocomputing. (Accepted January 16, 2015).
 Qin, K. and Oommen, B. J.,
On the Cryptanalysis of two Cipher Algorithms that Utilize Chaotic Neural Networks, Mathematical Problems in
Engineering, Vol. 2015, Article ID 468567, 9 pages, 2015. doi:10.1155/2015/468567.
 Qin, K. and Oommen, B. J.,
Chaotic Neural Networks with a "SmallWorld" Topology Can Achieve Pattern Recognition, Chaotic Modeling and Simulation, Vol. 4, 2014, pp. 379386.
 Yazidi, A., Granmo, OC., Oommen, B. J. and Goodwin, M.,
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme, IEEE Transactions on Cybernetics, Vol. 44, 2014, pp. 22022220.
 Sakhravi, R., Omran, M. T. and Oommen, B. J.,
On the Existence and Heuristic Computation of the Solution for the Commons Game, Transactions on Computational Collective Intelligence, 2014, pp 7199.
 Zhang, X., Granmo, OC., Oommen, B. J. and Jiao, L.,
A Formal Proof of the EpsilonOptimality of Absorbing Continuous Pursuit Algorithms Using the Theory of Regular Functions, Applied Intelligence, Vol. 41, 2014, pp. 974985.
 Astudillo, C. and Oommen, B. J.,
TopologyOriented SelfOrganizing Maps: A Survey, Pattern Analysis and Applications Journal, Vol. 17, 2014, pp. 223248.
 Astudillo, C. and Oommen, B. J.,
Self Organizing Maps Whose Topologies Can Be Learned With Adaptive Binary Search Trees Using Conditional Rotations, Pattern Recognition, Vol. 47, 2014, pp. 96113.
 Oommen, B. J. and Thomas, A.,
"AntiBayesian" Parametric Pattern Classification Using Order Statistics Criteria for Some Members of the Exponential Family, Pattern Recognition, Vol. 47, 2014, pp. 4055.
 Qin, K. and Oommen, B. J.,
Logistic Neural Networks: Their Chaotic and Pattern Recognition Properties, Neurocomputing, Vol. 125, 2014, pp. 184194.
 Qin, K. and Oommen, B. J.,
Chaotic Neural Networks with a Random Topology Can Achieve Pattern Recognition, Chaotic Modeling and Simulation, Vol. 4, 2013, pp. 583590.
 Calitoiu, D. and Oommen, B. J.,
On Utilizing Nonlinear Interdependence Measures for Analyzing Chaotic Behavior in LargeScale NeuroModels, Chaotic Modeling and Simulation, Vol. 3, 2013, pp. 423430.
 Stensby, A., Oommen, B. J. and Granmo, OC.,
The Use of Weak Estimators to Achieve Language Detection and Tracking in Multilingual Documents, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 27, 2013, 1350011 (33 pages).
 Zhang, X., Granmo, OC. and Oommen, B. J.,
On Incorporating the Paradigms of Discretization and Bayesian Estimation to Create a New Family of Pursuit Learning Automata, Applied Intelligence, Vol. 39, 2013, pp. 782792.
 Oommen, B. J. and Hashem, K.,
Modeling the "Learning Process" of the Teacher in a Tutoriallike System Using Learning Automata, IEEE Transactions on Systems, Man and Cybernetics, Vol. 43, 2013, pp. 20202031.
 Thomas, A. and Oommen, B. J.,
Order Statisticsbased Parametric Classification for Multidimensional Distributions, Pattern Recognition, 2013, pp. 34723482.
 Qin, K. and Oommen, B. J.,
Ideal Chaotic Pattern Recognition Is Achievable: The IdealMAdNN  Its Design and Properties, Transactions on Computational Collective Intelligence, 2013, pp. 2251.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
Learning Automaton Based Online Discovery and Tracking of SpatioTemporal Event Patterns, IEEE Transactions on Systems, Man and Cybernetics, Vol. 43, 2013, pp. 11181130.
 Astudillo, C. and Oommen, B. J.,
On Achieving Semisupervised Pattern Recognition by Utilizing TreeBased SOMs, Pattern Recognition, Vol. 46, 2013, pp. 293304.
 Oommen, B. J. and Fayyoumi, E.,
On Utilizing DependenceBased Information to Enhance MicroAggregation for Secure Statistical Databases, Pattern Analysis and Applications, Vol. 16, 2013, pp. 99116.
 Thomas, A. and Oommen, B. J.,
The Fundamental Theory of Optimal "AntiBayesian" Parametric Pattern Classification Using Order Statistics Criteria, Pattern Recognition, Vol. 46, 2013, pp. 376388.
 Calitoiu, D., Oommen, B. J. and Nussbaum, D.,
Large Scale Neuromodeling for Understanding and Controlling Brainrelated Chaotic Behavior, Simulation: Transactions of the Society for Modeling and Simulation International, Vol. 88, 2012, pp. 13161337.
 Oommen, B. J. and Hashem, K.,
Modeling a Teacher in a Tutoriallike System Using Learning Automata, Transactions on Computational Collective Intelligence, Vol. 8, 2012, pp. 3762.
 Oommen, B. J., Yazidi, A. and Granmo, OC.,
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators, Journal of Information Processing Systems, Vol. 8, 2012, pp. 707728.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
Service Selection in Stochastic Environments: A LearningAutomaton Based Solution, Applied Intelligence, Vol. 36, 2012, pp. 617637.
 Oommen, B. J., Granmo, OC. and Pedersen, A.,
Achieving Unbounded Resolution in Finite Player Goore Games using Stochastic Automata, and its Applications, Sequential Analysis, Vol. 31, 2012, pp. 190218.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes to Optimize Locally Linear Reconstruction Methods, Pattern Recognition, Vol. 45, 2012, pp. 498511.
 Qin, K. and Oommen, B. J.,
The Entire Range of Chaotic Pattern Recognition Properties Possessed by the Adachi Neural Network, International Journal of Intelligent Decision Technologies, Vol. 6, 2012, pp. 2741.
 Bellinger, C. and Oommen, B. J.,
On the Pattern Recognition and Classification of Stochastically
Episodic Events,
Transactions on Computational Collective Intelligence, Vol. 6, 2012, pp. 135.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
On the Analysis of a Random Interleaving WalkJump Process with Applications to Testing, Sequential Analysis, Vol. 30, 2011, pp. 457478.
 Yazidi, A., Granmo, OC. , Oommen, B. J., Gerdes, M. and Reichert, F.,
A Usercentric Approach for Personalized Service Provisioning in
Pervasive Environments,
Wireless Personal Communication, Vol. 61, 2011, pp. 543566.
 Granmo, OC. and Oommen, B. J.,
Learning Automatabased Solutions to the Optimal Web Polling Problem Modelled as a Nonlinear Fractional Knapsack Problem,
Engineering Applications of Artificial Intelligence, Vol. 24, 2011, pp. 12381251.
 Astudillo, C. and Oommen, B. J.,
Imposing Treebased Topologies onto Self Organizing Maps, Information Sciences, Vol. 181, 2011,
pp. 37983815.
 Fayyoumi, E. and Oommen, B. J.,
A Survey on Statistical Disclosure Control and MicroAggregation Techniques for Secure Statistical Databases,
Software: Practice and Experience,
Vol. 40, 2010, pp. 11611188.
 Aygun, E., Oommen, B. J. and Cataltepe, Z.,
Peptide Classification Using Optimal and Information Theoretic Syntactic Modeling Pattern Recognition,
Pattern Recognition, Vol. 43, 2010, pp. 38913899.
 Granmo, OC. and Oommen, B. J.,
Optimal Sampling for Estimation with Constrained Resources Using a Learning Automatonbased Solution for the Nonlinear Fractional Knapsack Problem,
Applied Intelligence, Vol. 33, 2010, pp. 320.
 Oommen, B. J. and Hashem, K.,
Modeling a Domain in a Tutoriallike System Using Learning Automata,
Acta Cybernetica, Vol. 19, 2010, pp. 635653.
 Rueda, L. and Oommen, B. J. and Henriquez, C.,
Multiclass Pairwise Linear Dimensionality Reduction Using Heteroscedastic Schemes,
Pattern Recognition, July 2010, pp. 24562465.
 Misra, S. and Oommen, B. J.,
FaultTolerant Routing In Adversarial Mobile Ad Hoc Networks: An
Efficient Route Estimation Scheme For NonStationary Environments,
Telecommunication Systems Journal, June 2010, pp. 159169.
 Granmo, OC. and Oommen, B. J.,
Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata,
IEEE Transactions on Computers, Vol. TC59, April 2010, pp. 545560.
 Oommen, B. J. and Hashem, K.,
Modeling a Student's Behavior in a Tutoriallike System Using Learning Automata,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC40(B), April 2010, pp. 481492.
 Horn, G. and Oommen, B. J.,
Solving MultiConstraint Assignment Problems Using Learning Automata,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC40(B), February 2010, pp. 618.
 Oommen, B. J. and Hashem, K.,
Modeling a StudentClassroom Interaction in a Tutoriallike System Using Learning Automata,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC40(B), February 2010, pp. 2942.
 Misra, S., Oommen, B. J., Yanamandra, S. and Obaidat, M. S.,
Random Early Detection for Congestion Avoidance in Wired Networks: A Discretized Pursuit LearningAutomataLike Solution,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC40(B), February 2010, pp. 6676.
 Fayyoumi, E. and Oommen, B. J.,
On Utilizing Association and Interaction Concepts for Enhancing MicroAggregation in Secure Statistical Databases,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC40(B), February 2010, pp. 198207.
 Qin, K. and Oommen, B. J.,
Adachilike Chaotic Neural Networks Requiring Lineartime Computations by Enforcing a Treeshaped Topology,
IEEE Transactions on Neural Networks, Vol. 20, November 2009, pp. 17971809.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes to Enhance the Computation of
Volumebased InterClass Overlap Measures,
Pattern Recognition,
November 2009, pp. 26952704.
 Fayyoumi, E. and Oommen, B. J.,
Achieving MicroAggregation for Secure Statistical Databases Using
Fixed Structure PartitioningBased
Learning Automata,
IEEE Transactions on Systems, Man and Cybernetics,
Vol. SMC39(B), October 2009, pp. 11921205.
 Misra, S. and Oommen, B. J.,
Using Pursuit Automata for Estimating Stable Shortest Paths in
Stochastic Network Environments,
International Journal of Communication Systems,
Vol. 22, 2009, pp. 441468.
 Zhu, Q. and Oommen, B. J.,
Estimation of Distributions Involving
Unobservable Events : The Case of Optimal Search With
Unknown Target Distributions,
Pattern Analysis and Applications Journal, 2009, pp. 3753.
 Rueda, L. and Oommen, B. J.,
An Efficient Compression Scheme for
Data Communication Which Uses a New Family of SelfOrganizing Binary
Search Trees,
International Journal of
Communication Systems, June 2008, pp. 10911120.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes to Optimize
Kernelbased Fisher Discriminant Analysis,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC38(B), April 2008, pp. 564570.
 Oommen, B. J., Kim, SW., Samuel, M. and Granmo, OC.,
A Solution to the Stochastic Point Location Problem in MetaLevel
NonStationary Environments,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC38(B), April 2008, pp. 466476.
 Calitoiu, D., Oommen, B. J. and Nussbaum D.,
Spikes Annihilation
in the HodgkinHuxley Neuron
,
Journal of Biological Cybernetics,
Vol. SMC38(B), March 2008, pp. 239257.
 Oommen, B. J., Kim, SW. and Horn, G.,
On the Estimation of Independent Binomial Random Variables Using Occurrence
and Sequential Information
,
Pattern Recognition,
November 2007, pp. 32633276.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes to Optimize Dissimilaritybased
Classification,
Pattern Recognition,
November 2007, pp. 29462957.
 Oommen, B. J., Misra, S. and Granmo, OC.,
Routing Bandwidth Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race
Track Learning Approach,
IEEE Transactions on Computers, July 2007, pp. 959976.
 Calitoiu, D., Oommen, B. J. and Nussbaum, D.,
Periodicity and Stability Issues of a Chaotic Pattern
Recognition Neural Network,
Pattern Analysis and Applications Journal, July 2007, pp. 175188.
 Calitoiu, D., Oommen, B. J. and , Nussbaum, D.,
Desynchronizing a Chaotic Pattern Recognition Neural Network to
Model Inaccurate Perception,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC37(B), July 2007, pp. 692704.
 Amer, A. and Oommen, B. J.,
A Novel Framework for SelfOrganizing Lists in Environments with Locality of
Reference: ListsonLists,
The Computer Journal, March 2007, pp. 186196.
 Atrey, P. K., Kankanhalli, M. S. and Oommen, B. J.,
Goaloriented Optimal Subset Selection of Correlated
Multimedia Streams,
ACM TOMCCAP, the ACM Transactions on Multimedia Computing, Communications and Applications,
Vol. 3, No. 1, Article 2, February 2007, pp 124.
 Oommen, B. J. and Badr, G.,
BreadthFirst Search Strategies for TrieBased Syntactic
Pattern Recognition,
Pattern Analysis and Applications Journal, Vol. 10, February 2007, pp. 113.
 Granmo, OC., Oommen, B. J., Myrer, S. A. and Olsen, M. G.,
Learning AutomataBased Solutions to the Nonlinear Fractional Knapsack Problem With Applications
to Optimal Resource Allocation,
IEEE Transactions on Systems, Man and Cybernetics,
Vol. SMC37(B), February 2007, pp. 166175.
 Rueda, L. and Oommen, B. J.,
Stochastic Automatabased Estimators for Adaptively Compressing Files with NonStationary
Distributions,
IEEE Transactions on Systems, Man and Cybernetics,
Vol. SMC36(B), October 2006, pp. 11961200.
 Badr, G. and Oommen, B. J.,
A Novel LookAhead Optimization Strategy for TrieBased Approximate String Matching,
Pattern Analysis and Applications Journal,
Volume 9, September 2006, pp. 177187.
 Oommen, B. J., Raghunath, G. and Kuipers, B.,
Parameter Learning from Stochastic Teachers and Stochastic Compulsive Liars,
IEEE Transactions on Systems, Man and
Cybernetics, Vol. SMC36(B), August 2006, pp. 820836.
 Misra, S. and Oommen, B. J.,
An Efficient Dynamic Algorithm For Maintaining AllPairs Shortest Paths In Stochastic
Networks,
IEEE Transactions on Computers, Vol. TC55, June 2006, pp.
686702
 Badr, G. and Oommen, B. J.,
On Optimizing Syntactic Pattern Recognition using Tries and AIbased Heuristic Search
Strategies,
IEEE Transactions on Systems, Man and
Cybernetics, Vol. SMC36(B), June 2006, pp. 611622.
 Rueda, L. and Oommen, B. J.,
A Fast and Efficient NearlyOptimal Adaptive Fano Coding
Scheme,
Information Sciences,
Vol. 176, 2006, pp. 16561683.
 Oommen, B. J. and Rueda, L.,
Stochastic Learningbased Weak Estimation
of Multinomial Random Variables and Its Applications to Pattern
Recognition in Nonstationary Environments,
Pattern Recognition,
Vol. 39, 2006, pp. 328341.
 Kim, SW. and Oommen, B. J.,
Prototype Reduction Schemes Applicable for Nonstationary Data
Sets,
Pattern Recognition,
Vol. 39, 2006, pp 209222.
 Misra, S. and Oommen, B. J.,
Dynamic Algorithms for the
Shortest Path Routing Problem : Learning Automatabased
Solutions,
IEEE Transactions on Systems, Man and Cybernetics,
Vol. SMC35(B), June 2005, pp. 11791192.
 Badr, G. and Oommen, B. J.,
SelfAdjusting of Ternary Search Tries Using
Conditional Rotations and Randomized Heuristics,
The Computer Journal,
Vol. 48, March 2005, pp. 200219.
This
paper was cited as being Most Meritorious, and was a winner
of one of the Wilkes Best Paper Awards in 2006 by the
journal The Computer Journal.
 Oommen, B. J. and Rueda, L.,
A Formal Analysis of Why Heuristic Functions Work,
The Artificial Intelligence Journal,
Vol. 164, 2005, pp. 122.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes
and Classifier Fusion Strategies to Optimize KernelBased Nonlinear
Subspace Methods,
IEEE Transactions on Pattern Analysis and Machine
Intelligence, Vol. 27, 2005, pp. 455460.
 Kim, SW. and Oommen, B. J.,
On Utilizing Search Methods to Select Subspace Dimensions
for Kernelbased Nonlinear Subspace Classifiers,
IEEE Transactions on Pattern Analysis and Machine
Intelligence, Vol. 27, 2005, pp. 136141.
 Ouerd, M., Oommen, B. J. and Matwin, S.,
A Formal Approach to Using Data Distributions for
Building Causal Polytree Structures,
Information Sciences, Vol. 168, 2004, pp. 111132.
 Misra, S. and Oommen, B. J.,
GPSPA : A New Adaptive Algorithm for Maintaining
Shortest Path Routing Trees in Stochastic
Networks,
International Journal of Communication Systems,
Vol. 17, September 2004, pp. 963984.
 Kim, SW. and Oommen, B. J.,
Enhancing Prototype Reduction Schemes with
Recursion : A Method Applicable for "Large" Data Sets,
IEEE Transactions on Systems, Man and Cybernetics,
Vol. SMC34(B), June 2004, pp. 13841397.
 Rueda, L. and Oommen, B. J.,
A NearlyOptimal Fanobased Coding Algorithm,
Information Processing and Management,
Vol. 40, 2004, pp. 257268.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes to Optimize KernelBased Nonlinear Subspace
Methods,
Pattern Recognition,
Vol. 37, no. 2, pp. 227239, 2004.
 Oommen, B. J. and Thiyagarajah, M.,
Benchmarking Attribute Cardinality Maps for Database Systems Using the TPCD
Specifications,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC33(B), December 2003, pp. 913924.
 Aras, N., Altinel, I. K., and Oommen, B. J.,
A KohonenLike Decomposition Method for the Euclidean Traveling Salesman Problem 
KNIES_DECOMPOSE,
IEEE Transactions on Neural Networks, Vol. 14, 2003, pp. 869890.
 Kim, SW. and Oommen, B. J.,
A Brief Taxonomy and Ranking of Creative Prototype Reduction
Schemes,
Pattern Analysis and Applications Journal, 2003, pp. 232244.
 Kim, SW. and Oommen, B. J.,
Enhancing Prototype Reduction Schemes with LVQ3Type
Algorithms,
Pattern Recognition, Vol. 36, 2003, pp. 10831093.
 Rueda, L. and Oommen, B. J.,
On Optimal Pairwise Linear Classifiers for Normal Distributions: The dDimensional
Case,
Pattern Recognition, Vol. 36, 2003, pp. 1323. The downloaded file is the unabridged version.
 Oommen, B. J. and Roberts, T. D.,
A Discretized Learning Automata Solutions to the Capacity Assignment Problem for Prioritized
Networks,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC32(B), December 2002, pp. 821831.
 Agache, M. and Oommen, B. J.,
Generalized Pursuit Learning Schemes : New Families of Continuous and Discretized
Learning Automata,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC32(B), December 2002, pp. 738749.
 Oommen, B. J. and Rueda, L.,
The Efficiency of Modernday Histogramlike Techniques for
Query Optimization,
The Computer Journal, Vol. 45, 2002, pp. 494510.
 Racherla, G., Radhakrishnan, S. and Oommen, B. J.,
Enhanced Layered Segment Trees : A Pragmatic Data Structure for
RealTime Processing of Geometric Objects,
Pattern Recognition, Vol. 35, 2002, pp. 23032309.
 Rueda, L. and Oommen, B. J.,
On Optimal Pairwise Linear Classifiers for Normal Distributions: The
TwoDimensional Case,
IEEE Transactions on Pattern
Analysis and Machine Intelligence , Vol. PAMI24, February 2002, pp. 274280.
The downloaded file is the unabridged version.
 Oommen, B. J. and Loke, R. K.
S., On the Pattern Recognition of Noisy
Subsequence Trees,
IEEE Transactions on Pattern
Analysis and Machine Intelligence , Vol. PAMI23, September 2001, pp. 929946.
 Zhu, Q., Zhou, M. and Oommen, B. J.,
Some Results on Optimal Search in Discrete and
Continuous Spaces,
Journal of Software, Vol.12, No.12, 2001, pp. 17481752.
 Oommen, B. J. and Agache, M.,
Continuous and Discretized Pursuit Learning Schemes: Various
Algorithms and Their Comparison,
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC31(B), June 2001, pp. 277287.
 Oommen, B. J. and Roberts, T.
D., Continuous Learning Automata
Solutions to the Capacity Assignment Problem, IEEE Transactions on Computers,
Vol. 49:6, June 2000, pp. 608620.
 Altinel, I. K., Aras, N. and
Oommen, B. J., Fast,
Efficient and Accurate Solutions to the
Hamiltonian Path Problem Using Neural Approaches, Computers and Operations Research,
Vol. 27, 2000, pp. 461494.
 Oommen, B. J. and Loke, R. K.
S., Designing Syntactic Pattern
Classifiers Using Vector Quantization and
Parametric String Editing, IEEE Transactions on Systems, Man
and Cybernetics , Vol. SMC29(B), December
1999, pp. 881888.
 Aras, N., Oommen, B. J., and
Altinel, I. K., The
Kohonen Network Incorporating Explicit Statistics
and Its Application to the Traveling Salesman
Problem, Neural
Networks, Vol. 12, October 1999, pp
12731284.
 Oommen, B.J. and Raghunath, G.,
Automata Learning and Intelligent
Tertiary Searching for Stochastic Point Location, IEEE Transactions on Systems, Man
and Cybernetics , Vol. SMC28(B), 1998, pp.
947954.
 Oommen, B.J. and Kashyap, R.L.,
A Formal Theory for Optimal and
Information Theoretic Syntactic Pattern
Recognition, Pattern
Recognition , Vol. 31, 1998, pp. 11591177.
This paper won the "Honorable Mention of the Year" Paper Award in 1998 by the journal Pattern Recognition.
 Oommen, B. J. Altinel, I. K.,
Aras, N, Discrete Vector Quantization for
Arbitrary Distance Function Estimation, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC28(B), 1998,
pp. 496510.
 Oommen, B.J. and Loke, R., Pattern
Recognition of Strings With Substitutions,
Insertions, Deletions and Generalized
Transpositions, Pattern
Recognition, Vol. 30, 1997, pp. 789800.
 Altinel, I. K., Oommen, B. J.,
Aras, N., Vector
Quantization for Arbitrary Distance Function
Estimation, ORSA
Journal of Computing, Vol. 9, 1997, pp.
439451.
 Oommen, B. J., Stochastic
Searching on the Line and its Applications to
Parameter Learning in Nonlinear Optimization, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC27(B), August 1997, pp.
733739.
 Oommen, B. J. and De St. Croix,
T., String Taxonomy Using Learning
Automata, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC27(B), April 1997, pp. 354365.
 Nguyen, T. and Oommen, B.J., Moment
Preserving PieceWise Linear Approximations of
Signals and Images, IEEE Transactions on Pattern
Analysis and Machine Intelligence,
Vol. PAMI19, 1997, pp. 8491.
 Oommen, B.J., Zhang, K. and
Lee, W., Numeric
Similarity and Dissimilarity Measures between Two
Trees, IEEE
Transactions on Computers, Vol.TC45,
December 1996, pp. 14261434.
 Oommen, B. J. and Zhang,, K. The
Normalized String Editing Problem Revisited, IEEE Transactions on Pattern
Analysis and Machine Intelligence,
Vol. PAMI18, June 1996, pp. 669672.
 Oommen, B.J. and De St. Croix,
T., Graph Partitioning Using Learning
Automata, IEEE
Transactions on Computers, Vol. TC45, No. 2,
1995, pp. 195208.
 Valiveti, R.S., Oommen, B.J.
and Zgierski, J.,
Adaptive Linear List Reorganization Under a
Generalized Query System, Journal of Applied Probability,
Vol.32, 1995, pp. 793804.
 Oommen, B.J and Masum, H., Switching
Models for NonStationary Random Environments, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC25, No. 9, 1995, pp.
13341339.
 Sum, S.T. and Oommen, B.J., Mixture
Decomposition for Distributions from the
Exponential Family using A Generalized Method of
Moments, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC25, No. 7, 1995, pp. 11391149.
 Oommen, B.J.,
String
Alignment With Substitution, Insertion, Deletion,
Squashing and Expansion Operations, Information Sciences, Vol. 77
March 1995, pp. 89107.
 Oommen, B.J. and Lee, W.,
Constrained
Tree Editing, Information
Sciences, Vol. 77 March 1994, pp. 253273.
 Oommen, B.J. and Ng, D.T.H., A
New Technique For Enhancing Data Retrieval :
Reorganize Data Using Artificially Synthesized
Queries, The
Computer Journal, Vol. 37, No. 7, 1994, pp.
598609.
 Oommen, B.J. and Zgierski, J., SEATER:
An ObjectOriented Simulation Environment Using
Learning Automata For Telephone Traffic Routing, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC24, No. 2,1994, pp.
349356.
 Ng, D.T.H., Oommen, B.J. and
Hansen, E.R., Adaptive
Learning Mechanisms for Ordering Actions Using
Random Races, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC23, No. 5, 1993, pp. 14501465.
 Oommen, B.J. and Ng, D.T.H., An
Optimal Absorbing List Organization Strategy with
Constant Memory Requirements, Theoretical Computer Science,
Vol. 119, 1993, pp. 355361.
 Oommen, B.J. and Fothergill,
C., Fast Learning AutomatonBased Image
Examination and Retrieval, The Computer Journal, Vol. 36,
No. 6, 1993, pp. 542553.
 Cheetham, R.P., Oommen, B.J.
and Ng, D.T.H., Adaptive
Structuring of Binary Search Trees Using
Conditional Rotations, IEEE Transactions on Knowledge and
Data Engineering, Vol. 5, No. 4, 1993, pp.
695704.
 Valiveti, R.S. and Oommen,
B.J., Determining Stochastic Dependence for
Normally Distributed Vectors Using the
ChiSquared Metric, Pattern Recognition, Vol. 26,
No. 6, 1993, pp. 975987.
 Oommen, B.J., Transforming
IllConditioned Constrained Problems Using
Projections, The
Computer Journal, Vol. 36, No. 3, 1993,
pp. 282285.
 Oommen, B.J. and Zgierski, J., A
Learning Automaton Solution to Breaking
Substitution Cyphers, IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol.
PAMI15, February 1993, pp. 185192.
 Valiveti, R.S. and Oommen,
B.J., SelfOrganizing DoublyLinked Lists, Journal of Algorithms, Vol. 14,
1993, pp. 88114.
 Valiveti, R.S. and Oommen,
B.J., On Using the ChiSquared Metric for
Determining Stochastic Dependence, Pattern Recognition, Vol. 25,
No. 11, 1992, pp. 13891400.
 Lanctôt, J.K. and Oommen,
B.J., Discretized Estimator Learning
Automata, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC22, November/December 1992, pp.
14731483.
 Ng, D.T.H. and Oommen, B.J., A
Short Note On DoublyLinked List Reorganizing
Heuristics, The
Computer Journal, Vol.35, No.5, 1992, pp.
533535.
 Oommen, B.J. and Reichstein,
I., On the Problem of Multiple Mobile
Robots Cluttering a Workspace, Information Sciences, Vol. 63,
September 1992, pp. 5585.
 Oommen, B.J. and Ma, D.C.Y., Stochastic
Automata Solutions to the Object Partitioning
Problem, The
Computer Journal, Vol. 35, 1992, pp.
A105A120.
 Oommen, B.J., Valiveti, R.S.
and Zgierski, J., An
Adaptive Learning Solution to the Keyboard
Optimization Problem, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC21,
November/December 1991, pp. 16081618. (Corrected
version in IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC22,
September/October 1992, pp. 12331243).
 Valiveti, R.S. and Oommen,
B.J., Recognizing Sources of Random Strings, IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol.
PAMI13, April 1991, pp. 386394.
 Oommen, B.J., Andrade, N. and
Iyengar S.S.,
Trajectory Planning of Robot Manipulators in
Noisy Workspaces Using Stochastic Automata, International Journal of Robotics
Research, April 1991, pp. 135148.
 Oommen, B.J. and Ng, D.T.H., On
Generating Random Permutations with Arbitrary
Distributions, The
Computer Journal, Vol 33, No. 4, 1990, pp.
368374.
 Christensen, J.P.R.and Oommen,
B.J., EpsilonOptimal Stubborn Learning
Mechanisms, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC20, September/October 1990, pp.
12091216.
 Oommen, B.J. and Lanctôt,
J.K., Discretized Pursuit Learning Automata, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC20, July/August
1990, pp. 431438.
 Oommen, B.J., Hansen, E.R. and
Munro, J.I.,
Deterministic Optimal and Expedient MovetoRear
List Organizing Strategies, Theoretical Computer Science,
Vol. 74, 1990, pp. 183197.
 Rao, S.V.N., Iyengar, S.S.,
Oommen, B.J. and Kashyap, R.L., On
the Terrain Acquisition by a Point Robot Amidst
Polyhedral Obstacles, IEEE Journal of Robotics and
Automation, August 1988, pp. 450455.
 Oommen, B.J. and Christensen,
J.P.R., EpsilonOptimal
Discretized Linear RewardPenalty Learning
Automata, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC18, May/June 1988, pp. 451458.
 Oommen, B.J. and Ma, D.C.Y., Deterministic
Learning Automata Solutions to the
EquiPartitioning Problem, IEEE Transactions on Computers,
Vol. 37, January 1988, pp. 214.
 Oommen, B.J., Iyengar, S.S.,
Rao, S.V.N. and Kashyap, R.L., Robot
Navigation in Unknown Terrains Using Learned
Visibility Graphs. Part I : The Disjoint Convex
Obstacle Case, IEEE
Journal of Robotics and Automation, December
1987, pp. 672681.
 Oommen, B.J., Recognition
of Noisy Subsequences Using Constrained Edit
Distances, IEEE
Transactions on Pattern Analysis and Machine
Intelligence, Vol. PAMI9, 1987, pp. 676685.
(Corrections to the original paper found in IEEE
Transactions on Pattern Analysis and Machine
Intelligence, Vol. PAMI10, 1988, pp.
983984).
 Oommen, B.J. and Hansen E.R., List
Organizing Strategies using Stochastic
MovetoFront and Stochastic MovetoRear
Operations, SIAM
Journal of Computing, Vol. 16, No. 4, August
1987, pp. 705716.
 Oommen, B.J., Ergodic
Learning Automata Capable of Incorporating A
Priori Information, IEEE Transactions on Systems, Man
and Cybernetics., Vol. SMC17, July/August
1987, pp. 717723.
 Oommen, B.J. and Reichstein,
I.R., On the Problem of Translating an
Elliptic Object Through a Workspace of Elliptic
Obstacles , Robotica,
Vol. 5, 1987, pp. 187196.
 Oommen, B.J.,
Constrained
String Editing, Information
Sciences, Vol. 40, 1987, pp. 267284.
 Oommen, B.J., An
Efficient Geometric Solution to the Minimum
Spanning Circle Problem, Operations Research, Vol. 35,
Jan./Feb. 1987, pp. 8086.
 Oommen, B.J., A
Learning Automaton Solution to the Stochastic
Minimum Spanning Circle Problem , IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC16, July/Aug. 1986, pp. 598603.
220 Kbytes)
 Oommen, B.J., Absorbing
and Ergodic Discretized Two Action Learning
Automata, IEEE
Transactions on Systems, Man and Cybernetics,
Vol. SMC16, March/April 1986, pp. 282293.
 Oommen, B.J. and Thathachar,
M.A.L.,
Multiaction
Learning Automata Possessing Ergodicity of the
Mean , Information
Sciences, Vol. 35, June 1985, pp. 183198.
 Oommen, B.J. and Hansen, E.R., The
Asymptotic Optimality of Discretized Linear
RewardInaction Learning Automata , IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC14, May/June 1984, pp. 542545.
 Kashyap, R.L. and Oommen, B.J.,
String Correction Using Probabilistic Methods, Pattern Recognition Letters,
March 1984, pp. 147154.
 Thathachar, M.A.L. and Oommen,
B.J., Learning Automata Possessing
Ergodicity of the Mean: The Two Action Case, IEEE Transactions on Systems, Man
and Cybernetics, Vol. SMC13, Nov./Dec. 1983, pp.
11431148.
 Kashyap, R.L. and Oommen, B.J.,
Scale Preserving Smoothing of
Polygons, IEEE
Transactions on Pattern Analysis and Machine
Intelligence, Nov. 1983, pp. 667671.
 Kashyap, R.L. and Oommen, B.J.,
The Noisy Substring Matching Problem , IEEE Transactions on Software Engg.,
May 1983, pp. 365370.
 Kashyap, R.L. and Oommen, B.J.,
Similarity Measures for Sets of
Strings, The
International Journal of Computer Mathematics,
May 1983, pp. 95104.
 Kashyap, R.L. and Oommen, B.J.,
A Common Basis for Similarity and
Dissimilarity Measures Involving Two Strings, The International Journal of Computer
Mathematics, March 1983, pp. 1740.
 Kashyap, R.L. and Oommen, B.J.,
A Geometrical Approach to Polygonal
Dissimilarity and Shape Matching , IEEE Transactions on Pattern
Analysis and Machine Intelligence, December
1982, pp. 649654.
 Kashyap, R.L. and Oommen, B.J.,
An Effective Algorithm for String
Correction Using Generalized Edit Distances  II.
Computational Complexity of the Algorithm and
Some Applications,
Information Sciences, Vol. 23, April 1981,
pp. 201217.
 Kashyap, R.L. and Oommen, B.J.,
An Effective Algorithm for String
Correction Using Generalized Edit Distances  I.
Description of the Algorithm and its Optimality, Information Sciences, Vol. 23,
March 1981, pp. 123142.
 Thathachar, M.A.L. and Oommen,
B.J., Discretized RewardInaction Learning
Automata, Journal
of Cybernetics and Information Sciences,
Spring 1979, pp. 2429.

CONFERENCE
PUBLICATIONS

Some of the conference papers
are preliminary versions of corresponding journal papers.
 Oommen, B. J. and Kim, SW.,
Multinomial Sequence Based Estimation: The Case of Pairs of Contiguous Occurrences. To appear in the Proceedings of AI'16, the 2016 Canadian Artificial Intelligence Conference, Victoria, Canada, May 2016. This talk will be a Plenary/Keynote Talk at the Conference.
 Yazidi, A. and Oommen, B. J.,
Solving Stochastic RootFinding with Adaptive dary Search, Proceedings of IEEE/EAIS'15, the 2015 IEEE Evolving and Adaptive Intelligent Systems, Douai, France, December 2015, pp. 174181.
 Yazidi, A., Oommen, B. J. and Goodwin, M.,
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth, Proceedings of IEEE/WIC'15, the 2015 International Conference on Web Intelligence and Intelligent Agent Technology, Singapore, December 2015, pp. 104111.
 Oommen, B. J., Khoury, R. and Schmidt, A.,
Text Classification Using Novel "AntiBayesian" Techniques, Proceedings of ICCCI'15, the 2015 International Conference on
Computational Collective Intelligence Technologies and Applications, Madrid, Spain, September 2015, pp. 317. This talk was a Plenary/Keynote Talk at the Conference.
 Polk, S. and Oommen, B. J.,
Enhancing Historybased Move Ordering in Game Playing Using Adaptive Data Structures, Proceedings of ICCCI'15, the 2015 International Conference on
Computational Collective Intelligence Technologies and Applications, Madrid, Spain, September 2015, pp. 201211.
 Polk, S. and Oommen, B. J.,
Space and Depthrelated Enhancements of the HistoryADS Strategy in Game Playing, Proceedings of CIG'15, the 2015 IEEE Conference on Computational Intelligence and Games, Tainan, Taiwan, August 2015, pp. 322327.
 Polk, S. and Oommen, B. J.,
Novel AI Strategies for MultiPlayer Games at Intermediate Board States, Proceedings of IEA/AIE'15, the 2015 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Seoul, Korea, June 2015, pp. 3342. This paper won the Best Paper Award at the Conference.
 Astudillo, C. and Oommen, B. J.,
Pattern Recognition using the TTOCONROT, Proceedings of IEA/AIE'15, the 2015 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Seoul, Korea, June 2015, pp. 435444.
 Hammer, H. L., Yazidi, A. and Oommen, B. J.,
A Novel Clustering Algorithm based on a Nonparametric "AntiBayesian" Paradigm, Proceedings of IEA/AIE'15, the 2015 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Seoul, Korea, June 2015, pp. 536545.
 Bell, N. and Oommen, B. J.,
Particle Field Optimization: A New Paradigm for Swarm Intelligence, Proceedings of AAMAS'15, the 2015 International Conference on Autonomous Agents and Multiagent Systems, Istanbul, Turkey, May 2015, pp. 257265. This paper was nominated for the Best Student Paper Award of the Conference.
 Yazidi, A., Oommen, B. J. Granmo, OC., and Goodwin, M.,
On Utilizing Stochastic NonLinear Fractional Bin Packing to Resolve Distributed Web Crawling, Proceedings of CSE'14, the 2014 IEEE International Conference on Computational Science and Engineering, Chengdu, China, December 2014, pp. 3237.
 Astudillo, C. and Oommen, B. J.,
Fast BMU Search in SOMs Using Random Hyperplane Trees, Proceedings of PRICAI'14, the 2014 Pacific Rim International Conference on Artificial Intelligence, Gold Coast, Australia, December 2014, pp. 3951.
 Qin, K. and Oommen, B. J.,
Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks, Proceedings of ISCIS'14, the 2014 International Symposium on Computer and Information Sciences, Krakow, Poland, October 2014, pp. 164174.
 Qin, K. and Oommen, B. J.,
Chaotic Pattern Recognition Using the Adachi Neural Network Modified in a SmallWorld Way, Proceedings of CHAOS'14, the 2014 Chaotic Modeling and Simulation International Conference, Lisbon, Portugal, June 2014, pp. 391398.
 Zhang, X., Oommen, B. J., Granmo, OC. and Lei, J.,
Using the Theory of Regular Functions to Formally Prove the EpsilonOptimality of Discretized Pursuit Learning Algorithms, Proceedings of IEA/AIE'14, the 2014 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Kaohsiung, Taiwan, June 2014, pp. 379388.
This paper won the Best Paper Award at the Conference.
 Lei, J., Zhang, X., Granmo, OC. and Oommen, B. J.,
A Bayesian Learning Automatabased Distributed Channel Selection Scheme for Cognitive Radio Networks, Proceedings of IEA/AIE'14, the 2014 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Kaohsiung, Taiwan, June 2014, pp. 4857.
 Polk, S. and Oommen, B. J.,
On Enhancing Recent MultiPlayer Game Playing Strategies using a Spectrum of Adaptive Data Structures, Proceedings of TAAI'13, the 2013 Conference on Technologies and Applications of Artificial Intelligence, Taipei, Taiwan, December 2013, pp. 164169.
 Li, Y., Oommen, B. J., Ngom, A. and Rueda, L.,
A New Paradigm for Pattern Classification: Nearest Border Techniques, Proceedings of AI'13, the 2013 Australasian Joint Conference on Artificial Intelligence, Dunedin, New Zealand, December 2013, pp. 441446.
 Thomas, A. and Oommen, B. J.,
Ultimate Order Statisticsbased Prototype Reduction Schemes, Proceedings of AI'13, the 2013 Australasian Joint Conference on Artificial Intelligence, Dunedin, New Zealand, December 2013, pp. 421433.
 Polk, S. and Oommen, B. J.,
On Applying Adaptive Data Structures to MultiPlayer Game Playing, Proceedings of AI'13, the 2013 SGAI International Conference on Artificial Intelligence, Cambridge, England, December 2013, pp. 125138.
 Zhang, X., Jiao, L., Granmo, OC. and Oommen, B. J.,
Channel Selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata Approach, Proceedings of PIMRC'13, the 2013 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, London, UK, September 2013, pp. 23722377.
 Thomas, A. and Oommen, B. J.,
A Novel Border Identification Algorithm Based on an "AntiBayesian" Paradigm, Proceedings of CAIP'13, the 2013 International Conference on Computer Analysis of Images and Patterns, York, UK, August, 2013, pp. 196203.
 Thomas, A. and Oommen, B. J.,
On Achieving Nearoptimal "AntiBayesian" Order Statisticsbased Classification for Asymmetric Exponential Distributions, Proceedings of CAIP'13, the 2013 International Conference on Computer Analysis of Images and Patterns, York, UK, August, 2013, pp. 368376.
 Zhang, X., Granmo, OC. and Oommen, B. J.,
On Using the Theory of Regular Functions to Prove the EpsilonOptimality of the Continuous Pursuit Learning Automaton, Proceedings of IEA/AIE'13, the 2013 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Amsterdam, Holland, June 2013, pp. 262271.
 Calitoiu, D. and Oommen, B. J.,
Nonlinear Interdependence (S) Measures used for Exploring Chaotic Behavior in LargeScale NeuroModels, Proceedings of CHAOS'13, the 2013 Chaotic Modeling and Simulation International Conference, Istanbul, Turkey, June 2013, pp. 127134.
 Qin, K. and Oommen, B. J.,
Chaotic Pattern Recognition Using the Adachi Neural Network Modified in a Random Manner, Proceedings of CHAOS'13, the 2013 Chaotic Modeling and Simulation International Conference, Istanbul, Turkey, June 2013, pp. 453460.
 Thomas, A. and Oommen, B. J.,
Classification of Multidimensional Distributions using Order Statistics Criteria, Proceedings of CORES'13, the 2013 Conference on Computer Recognition Systems, Milkow, Poland, May 2013, pp. 1929.
 Thomas, A. and Oommen, B. J.,
Optimal "AntiBayesian" Parametric Pattern Classification Using Order Statistics Criteria, Proceedings of CIARP'12, the 2012 Iberoamerican Congress on Pattern Recognition, Buenos Aires, Argentina, September 2012, pp. 113.
This talk was a Plenary/Keynote Talk at the Conference.
 Thomas, A. and Oommen, B. J.,
Optimal "AntiBayesian" Parametric Pattern Classification for the Exponential Family Using Order Statistics Criteria, Proceedings of ICIAR'12, the 2012 International Conference on Image Analysis and Recognition, Aveiro, Portugal, June 2012, pp. 1118.
 Zhang, X., Granmo, OC. and Oommen, B. J.,
Discretized Bayesian Pursuit  A New Scheme for Reinforcement Learning, Proceedings of IEA/AIE'12, the 2012 International Conference on
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Dalian, China, June 2012, pp. 784793.
 Yazidi, A., Granmo, OC., Oommen, B. J. and Goodwin, M.,
A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem, Proceedings of IEA/AIE'12, the 2012 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Dalian, China, June 2012, pp 774783.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
A Stochastic Search on the LineBased Solution to Discretized Estimation, Proceedings of IEA/AIE'12, the 2012 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Dalian, China, June 2012, pp. 764773.
 Qin, K. and Oommen, B. J.,
Ideal Chaotic Pattern Recognition Using the Modified Adachi Neural Network, Proceedings of CHAOS'12, the 2012 Chaotic Modeling and Simulation
International Conference, Athens, Greece, June 2012, pp. 499508.
 Sakhravi, R., Omran, M. T. and Oommen, B. J.,
A Fast Heuristic Solution for the Commons Game, Proceedings of DCAI'12, the 2012 International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, March 2012, pp. 8190.
 Yazidi, A., Oommen, B. J. and Granmo, OC.,
A Novel Stochastic Discretized Weak Estimator Operating in NonStationary Environments, Proceedings of ICNC'12COG, the 2012 International Conference on Computing, Networking and Communications, Cognitive Computing and Networking Symposium, Hawaii, USA, January/February 2012, pp. 364370.
 Astudillo, C. and Oommen, B. J.,
SemiSupervised Classification Using TreeBased SelfOrganizing Maps, Proceedings of AI'11, the 2011 Australasian Joint Conference on Artificial Intelligence, Perth, Australia, December 2011, pp. 2130.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
Tracking the Preferences of Users Using Weak Estimators, Proceedings of AI'11, the 2011 Australasian Joint Conference on Artificial Intelligence, Perth, Australia, December 2011, pp. 799808.
 Zhang, X., Granmo, OC. and Oommen, B. J.,
Generalized Bayesian Pursuit: A Novel Scheme for MultiArmed Bernoulli Bandit Problems, Proceedings of AIAI'11, the 2011 Conference on
Artificial Intelligence Applications and Innovations, Corfu, Greece, September 2011, pp. 122131.
 Qin, K. and Oommen, B. J.,
Networking Logistic Neurons can Yield Chaotic and Pattern Recognition Properties, Proceedings of CIMSA'11, the 2011 IEEE International
Conference on Computational Intelligence for Measurement Systems and
Applications, Ottawa, Canada, September 2011, pp. 134139.
 Zhang, X., Granmo, OC. and Oommen, B. J.,
The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata, Proceedings of IEA/AIE'11, the 2011 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Syracuse, USA, June/July 2011, pp. 525531.
 Yazidi, A., Granmo, OC. , Oommen, B. J., Reichert, F. and Gerdes, M.,
An Intelligent Architecture for Service Provisioning in Pervasive Environments, Proceedings of INISTA'11, the 2011 International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, Turkey, June 2011, pp. 524530.
 Oommen, B. J.,
New Histogramlike Techniques for Cardinality Estimation in Database Query Optimization, Proceedings of the
Expert and Industry Session of PReMI'11, the 2011 International
Conference on Pattern Recognition and Machine Intelligence, Moscow, Russia, June 2011, pp. 17.
 Oommen, B. J.,
On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies, Proceedings of PReMI'11, the 2011 International Conference on Pattern Recognition and Machine Intelligence, Moscow, Russia, June 2011, pp. 1316.
This talk was a Plenary/Keynote Talk at the Conference.
 Verkhogliad, P. and Oommen, B. J.,
Using Artificial Intelligence Techniques for Strategy Generation in the Commons Game, Proceedings of HAIS'11, the 2011 International Conference on Hybrid Artificial Intelligence Systems, Wroclaw, Poland, May 2011, pp. 4350.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
A New Tool for the Modeling of AI and Machine Learning Applications: Random WalkJump Processes, Proceedings of HAIS'11, the 2011 International Conference on Hybrid Artificial Intelligence Systems, Wroclaw, Poland, May 2011, pp. 1121.
This talk was a Plenary/Keynote Talk at the Conference.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
On the Analysis of a New Markov Chain Which has Applications in AI and Machine Learning, Proceedings of CCECE'11, the 2011 Annual Canadian Conference on Electrical and Computer Engineering, Niagara Falls, Canada, May 2011, pp. 15531558 (EDAS No. (1569)446001).
 Bellinger, C., and Oommen, B. J.,
A New Frontier in Novelty Detection: Pattern Recognition of Stochastically Episodic Events, Proceedings of ACIIDS'11, the 2011 Asian Conference on Intelligent Information and Database Systems, Daegu, Korea, April 2011, pp. 435444.
 Kim, SW. and Oommen, B. J.,
On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes, Proceedings of AI'10, the 2010 Australasian Joint Conference on Artificial Intelligence, Adelaide, Australia, December 2010, pp. 153163.
 Yazidi, A., Granmo, OC., Lin, M., Wen, X., Oommen, B. J., Gerdes, M. and Reichert, F.,
Learning Automaton Based Online Discovery and Tracking of SpatioTemporal Event Patterns, Proceedings of PRICAI10'10, the 2010 Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August/September 2010, pp. 327338.
 Stensby, A., Oommen, B. J., and Granmo, OC.,
Language Detection and Tracking in Multilingual Documents Using Weak Estimators, Proceedings of SSSPR'10, the 2010 International Symposium on Structural, Syntactic and Statistical Pattern Recognition, Izmir, Turkey, August 2010, pp. 600609.
 Oommen, B. J.,
On Utilizing DependenceTree Modeling in Arbitrary Simulations,
Proceedings of SummerSim'10, the 2010 Summer Simulation Multiconference, Ottawa, Canada, July 2010, pp. KeynoteSummaries:13.
This talk was a Plenary/Keynote Talk at the Conference.
 Bellinger, C., and Oommen, B. J.,
On Simulating Episodic Events Against a Background of Noiselike Nonepisodic Events, Proceedings of SummerSim'10, the 2010 Summer Simulation Multiconference, Ottawa, Canada, July 2010, pp. 452460.
 Yazidi, A., Granmo, OC. and Oommen, B. J.,
A Learning Automata Based Solution to Service Selection in Stochastic Environments, Proceedings of IEA/AIE'10, the 2010 International Conference on Industrial and Engineering Applications of Artificial Intelligence
and Expert Systems, Cordoba, Spain, June 2010, pp. 209218.
 Verkhogliad, P. and Oommen, B. J.,
Potential AI Strategies to Solve the Commons Game: A Position Paper, Proceedings of CanAI'10, the 2010 Canadian Conference on Artificial Intelligence, Ottawa, Canada, May/June 2010, pp. 352356.
 Oommen, B. J.,
Recent Advances in Learning Automata Systems, Proceedings of ICCET'10, the 2010 International Conference on Computer Engineering and Technology, Chengdu, China, April 2010, pp. V1:6273. This talk was a Plenary/Keynote Talk at the Conference.
 Qin, K. and Oommen, B. J.,
Chaotic and Pattern Recognition Properties of a Network of Logistic Neurons, Proceedings of ICCET'10, the 2010 International Conference on Computer Engineering and Technology, Chengdu, China, April 2010, pp. V3:8287.
 Calitoiu, D. and Oommen, B. J.,
Using Simulation and Stochastic Learning for Pattern Recognition when Training Data is Unavailable:The Case of Disease Outbreak, Proceedings of ICAART'10, the 2010 International Conference on Agents and Artificial Intelligence, Valencia, Spain, January 2010, pp. 4552.
 Norheim, T., Braadland, T., Granmo, OC. and Oommen, B. J.
A Generic Solution to MultiArmed Bernoulli Bandit Problems Based on Random Sampling from Sibling Conjugate Priors, Proceedings of ICAART'10, the 2010 International Conference on Agents and Artificial Intelligence, Valencia, Spain, January 2010, pp. 3644.
 Astudillo, C. and Oommen, B. J.,
On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps, Proceedings of AI'09, the 2009 Australasian Joint Conference on Artificial Intelligence, Melbourne, Australia, December 2009, pp. 199209.
This paper won the Best Paper Award at the Conference.
 Oommen, B. J. and Hashem, K.,
Learning Automatabased Tutoriallike Systems, Proceedings of
KES'09, the 2009 International Conference on KnowledgeBased and
Intelligent Information & Engineering Systems, Santiago, Chile,
September 2009, pp. 361374. This talk was a Plenary/Keynote Talk at the Conference.
 Aygun, E., Oommen, B. J. and Cataltepe, Z.,
On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification, Proceedings of PRIB'09, the 2009 IAPR International Conference on
Pattern Recognition in Bioinformatics, Sheffield, England,
September 2009, pp. 2435.
 Zhan, Z., Oommen, J., and Crisostomo, J.,
Anomaly Detection in Dynamic Social Systems, Proceedings of the 2009 IEEE International Conference on Social Computing, Vancouver, Canada, August 2009, pp. 1825.
 Oommen, B. J., Granmo, OC. and Liang, Z.,
A Novel Stochastic LearningEnhanced Multidimensional
Scaling Technique Applicable for WordOfMouth Discussions, Studies in Computational Intelligence (214): Proceedings of Short Papers of IEA/AIE'09, the
2009 International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert
Systems, Tainan City, Taiwan, June 2009, pp. 317322.
 Granmo, OC. and Oommen, B. J.,
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling, Proceedings of IEA/AIE'09, the 2009 International Conference on
Industrial and Engineering Applications of Artificial Intelligence
and Expert Systems, Tainan City, Taiwan, June 2009,
pp. 523534. This paper won the Best Paper Award at the Conference.
 Qin, K. and Oommen, B. J.,
An Enhanced Treeshaped Adachilike
Chaotic Neural Network Requiring Lineartime Computations, Proceedings of CHAOS'09, the 2009 Chaotic Modeling and Simulation International Conference, Charnia, Greece, June 2009.
(The proceedings of the conference is available at:
http://www.chaos2009.net/proceedings/index.html.
The abstract is on pp. 6465, and paper, listed by authors, is
included in the proceedings. The paper number is 160).
 Astudillo, C. and Oommen, B. J.,
A Novel Self Organizing Map Which Utilizes Imposed TreeBased Topologies, Proceedings of
CORES'09, the 2009 Conference on Computer Recognition Systems, Wroclaw, Poland, May 2009, pp. 183192. This talk was a Plenary/Keynote Talk at the Conference.
 Misra, S., Oommen, B. J., Yanamandra, S. and Obaidat, M. S.,
An Adaptive LearningLike Solution of Random Early Detection for Congestion Avoidance in Computer Networks, Proceedings of
AICCSA'09, the 2009 ACS/IEEE International Conference on Computer
Systems and Applications, Rabat, Morocco, May 2009,
pp. 485491.
 Qin, K. and Oommen, B. J.,
Chaotic Pattern Recognition:
The Spectrum of Properties of the Adachi Neural Network, Proceedings of SSSPR'08, the 2008 International
Symposium on Structural, Syntactic and Statistical Pattern
Recognition, Orlando, Florida, December 2008, pp. 540550.
 Oommen, B. J. and Fayyoumi, E.,
An AIBased Causal Strategy for Securing Statistical Databases Using MicroAggregation, Proceedings of AI'08, the 2008 Australasian Joint Conference on Artificial Intelligence,
Auckland, New Zealand, December 2008, pp. 423434.
 Oommen, B. J.,
On the Differences Between Discretized and Continuous Stochastic Systems as
Demonstrated by Learning Automata, Proceedings of SSS'08, the 2008 ISCIE International Symposium on Stochastic
Systems Theory and Its Applications,
Kyodai Kaikan, Kyoto, Japan, November 2008.
This talk was a Plenary/Keynote Talk at the Conference, which is the 40th conference in this series.
The Abstract of the talk was on pages 3133.
 Rueda, L., Henriquez, C. and Oommen, B. J.,
Chernoffbased
Multiclass Pairwise Linear Dimensionality Reduction, Proceedings of CIARP'08, the 2008 Iberoamerican Congress on Pattern Recognition,
Havana, Cuba, September 2008, pp. 301308.
 Oommen, B. J. and Fayyoumi, E.,
Enhancing MicroAggregation Techniques
by Utilizing DependenceBased Information in Secure Statistical Databases, Proceedings of ACISP`08, the 2008 Australasian Conference on
Information Security and Privacy, Wollongong, Australia , July 2008, pp. 404418.
 Granmo, OC. and Oommen, B. J.,
A Hierarchy of Twofold Resource
Allocation Automata Supporting Optimal Web Polling, Proceedings of IEA/AIE'08, the 2008 International
Conference on Industrial and Engineering Applications of Artificial
Intelligence and Expert Systems, Wroclaw, Poland, June 2008, pp. 347358.
 Kim, SW. and Oommen, B. J.,
A Fast Computation of InterClass
Overlap Measures Using Prototype Reduction Schemes, Proceedings of CanAI'08, the 2008 Canadian Conference
on Artificial Intelligence, Windsor, Canada, May 2008, pp. 173184.
 Oommen, B. J. and Calitoiu, D.,
Modeling and Simulating a
Disease Outbreak by Learning a Contagion Parameterbased Model, Proceedings of ICHSS'08, the 2008 International
Conference on Health Sciences Simulation, Ottawa, Canada, April
2008, pp. 547555. This paper won the Best Paper Award at the Conference.
 Calitoiu, D., Nussbaum, D. and Oommen, B. J.,
Large Scale
Modeling of the Piriform Cortex for Analyzing Antiepileptic
Effects, Proceedings of ICHSS'08, the 2008 International
Conference on Health Sciences Simulation, Ottawa, Canada, April
2008, pp. 599608.
 Oommen, B. J. and Fayyoumi, E.,
A Novel Method for MicroAggregation in Secure Statistical
Databases Using Association and Interaction, Proceedings of ICICS'07, the 2007 International Conference on
Information and Communications Security, Zhengzhou, China, December 2007, pp. 126140.
 Calitoiu, D., Oommen, B. J. and Nussbaum, D.,
Some Analysis
on the Network of Bursting Neurons : Quantifying Behavioral Synchronization, Proceedings of AI'07, the
2007 Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2007, pp. 110119.
 Granmo, OC. and Oommen, B. J.,
On Using a Hierarchy of
Twofold Resource Allocation Automata to Solve Stochastic Nonlinear
Resource Allocation Problems, Proceedings of AI'07, the
2007 Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2007, pp. 3647.
 Hashem, K. and Oommen, B. J.,
Using Learning Automata to
Model the "Learning Process" of the Teacher in a Tutoriallike System, Proceedings of ISCIS'07, the
2007 International Symposium on Computer and Information
Sciences, Ankara, Turkey, November 2007, Paper No. 1.3.C012, pp. 8186.
(Paper can be found at http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4456820&isYear=2007)
 Rueda, L. and Oommen, B. J.,
A New Approach to Adaptive
Encoding Data using Selforganizing Data Structures, Proceedings of ISCIS'07, the
2007 International Symposium on Computer and Information
Sciences, Ankara, Turkey, November 2007,
Paper No. 2.3.C010, pp. 1520. (Paper can also be found at the IEEE website of the previous paper).
 Hashem, K. and Oommen, B. J.,
Using Learning Automata to
Model the Behavior of a Teacher in a Tutoriallike System, Proceedings of IEEESMC'07, the 2007 IEEE
International Conference on Systems, Man and Cybernetics, Montreal, Canada, October 2007, pp. 7682.
 Hashem, K. and Oommen, B. J.,
Using Learning Automata to
Model a StudentClassroom Interaction in a Tutoriallike System, Proceedings of IEEESMC'07, the 2007 IEEE
International Conference on Systems, Man and Cybernetics, Montreal, Canada, October 2007, pp. 11771182.
 Calitoiu, D., Oommen, B. J. and Nussbaum, D.,
Numerical
Results on the HodgkinHuxley Neural Network : Spike Annihilation, Proceedings of BVAI'07, the 2007
International Symposium on Brain Vision and Artificial Intelligence, Naples, Italy, October 2007, pp. 378387.
 Hashem, K. and Oommen, B. J.,
Using Learning Automata to Model
a Domain in a Tutoriallike System, Proceedings of ICMLC'07, the 2007 International Conference of
Machine Learning and Cybernetics, Hong Kong, August 2007, pp. 112118.
 Horn, G. and Oommen, B. J.,
Estimation in Feedback Loops by
Stochastic Learning, Proceedings of IWAPR’07,
the 2007 International Workshop on Advances in Pattern Recognition, Plymouth, UK, July 2007, pp. 316.
This talk was a Plenary/Keynote Talk at the Conference.
 Hashem, K. and Oommen, B. J.,
On Using Learning Automata to
Model a Students Behavior in a Tutoriallike System, Proceedings of IEA/AIE'07, the
2007 International Conference on Industrial and Engineering
Applications of Artificial Intelligence and Expert Systems, Kyoto, Japan, June 2007, pp. 813822.
 Oommen, B. J., Kim, SW., Samuel, M. and Granmo, OC.,
Stochastic Point Location in NonStationary Environments and Its
Applications, Proceedings of IEA/AIE'07, the
2007 International Conference on Industrial and Engineering
Applications of Artificial Intelligence and Expert Systems, Kyoto, Japan, June 2007, pp. 845854.
 Calitoiu, D., Oommen, B. J. and , Nussbaum, D.,
Analytic Results on the HodgkinHuxley Neural Network : Spikes
Annihilation, Proceedings of CanAI'07, the
2007 Canadian Conference on Artificial Intelligence, Montreal, Canada, May 2007, pp. 320–331.
 Misra, S. and Oommen, B. J.,
The Pursuit Automaton Approach for Estimating AllPairs Shortest
Paths in Dynamically Changing Networks, Proceedings of FINA'07, the 2007 IEEE International Symposium
on Frontiers in Networking with Applications, Niagara Falls, Canada, May 2007, pp. 124129.
 Oommen, B. J., Granmo, OC. and Pedersen, A.,
Using Stochastic AI Techniques to
Achieve Unbounded Resolution in Finite
Player Goore Games and its Applications, Proceedings of IEEECIG'07, the 2007 IEEE
Symposium on Computational Intelligence and Games, Hawaii, USA, April 2007, pp. 161167.
 Fayyoumi, E. and Oommen, B. J.,
A Fixed Structure Learning Automaton MicroAggregation Technique for
Secure Statistical Databases, Proceedings of PSD`06, the 2006
International Conference on Privacy in Statistical Databases, Rome, Italy, December 2006, pp. 114128.
 Oommen, B. J., Granmo, OC. and Pedersen, A.,
Empirical Verification of a Strategy
for Unbounded Resolution in Finite Player Goore Games, Proceedings of AI'06,
the 2006 Australian Joint Conference on Artificial Intelligence, Tasmania, Australia, December 2006, pp. 12521258.
 Kim, SW. and Oommen, B. J.,
On Optimizing
DissimilarityBased Classification Using Prototype Reduction
Schemes, Proceedings of ICIAR'06 
the 2006 International Conference on Image Analysis and
Recognition, Voa de Varzim, Portugal, September 2006, pp. 1528.
This talk was a Plenary/Keynote Talk at the Conference.
 Oommen, B. J., Kim, SW. and Horn, G.,
On the Theory
and Applications of Sequence Based Estimation of Independent Binomial
Random Variables, Proceedings of SSSPR'06,
the 2006 International Symposium on Structural, Syntactic and
Statistical Pattern Recognition, Hong Kong, August 2006, pp. 821. This
talk was a Plenary/Keynote Talk at the Conference.
 Kim, SW. and Oommen, B. J.,
On Optimizing Kernelbased
Fisher Discriminant Analysis Using Prototype Reduction Schemes,
Proceedings of SSSPR'06,
the 2006 International Symposium on Structural, Syntactic and
Statistical Pattern Recognition, Hong Kong, August 2006, pp. 826834.
 Oommen, B. J., and Hashem, K.,
On Simulating Tutoriallike
Systems Using a Learning Automata Philosophy, Proceedings of SummerSim'06, the 2006 Summer Simulation Multiconference,
Calgary, Canada, July/August 2006, pp. 473484. This talk was a
Plenary/Keynote talk at the Conference.
 Fayyoumi, E. and Oommen, B. J.,
On Optimizing the kWard
MicroAggregation Technique for Secure Statistical
Databases, Proceedings of ACISP'06, the 2006
Australasian Conference on Information Security and Privacy,
Melbourne, Australia, July 2006, pp. 324335.
 Granmo, OC. and Oommen, B. J.,
On Allocating Limited Sampling Resources
Using a Learning Automatabased Solution to the Fractional Knapsack Problem, Proceedings of IIS:IIPW'06, the 2006 International Intelligent Information Processing and Web Mining Conference,
Poland, June 2006, pp. 263272.
 Horn, G. and Oommen, B. J.,
Towards a Learning Automata
Solution to the MultiConstraint Partitioning Problem, Proceedings of
IEEECIS'06, the 2006 IEEE International Conferences on Cybernetics
and Intelligent Systems,
Bangkok, Thailand, June 2006, pp. 755762.
 Granmo, OC. and Oommen, B. J.,
Determining Optimal Polling
Frequency using a Learning Automatabased Solution to the
Fractional Knapsack Problem, Proceedings of
IEEECIS'06, the 2006 IEEE International Conferences on Cybernetics
and Intelligent Systems,
Bangkok, Thailand, June 2006, pp. 7379.
 Oommen, B. J. and Misra, S.,
A FaultTolerant
Routing Algorithm for Mobile Ad Hoc Networks Using a Stochastic
LearningBased Weak Estimation Procedure, Proceedings of WiMob'06,
the 2006 IEEE International Conference
on Wireless and Mobile Computing, Networking and Communications,
Montreal, Canada, June 2006, pp. 3137.
 Oommen, B. J. and Chen, J.,
On Utilizing Attribute Cardinality Maps to Enhance Query
Optimization in the ORACLE Database System, Proceedings of ICEIS'06, the 2006
International Conference on Enterprise Information Systems,
Cyprus, May 2006, pp. IS:2335.
This talk was a Plenary/Keynote Talk at the Conference.
 Amer, A. and Oommen, B. J.,
Lists on Lists: A Framework for SelfOrganizing
Lists in Environments with Locality of Reference, Proceedings of WEA'06, the 2006 International Workshop on
Experimental Algorithms,
Menorca Island, Spain, May 2006, pp. 109120.
 Oommen, B. J. and Misra, S. and Granmo, OC.,
A Stochastic RandomRaces
Algorithm for Routing in MPLS Traffic Engineering, Proceedings of INFOCOM'06, the 2006 IEEE Conference on Computer Communications,
Barcelona, Spain, April 2006, Paper:1568966826, pp:110.
 Hilaire, X. and Oommen, B. J.,
The Averaged Mappings
Problem: Statement, Applications, and Approximate Solution, Proceedings of ACMSE'06, the 2006 ACM South
Eastern Conference,
Melbourne, Florida, March 2006, pp. 2429.
 Batalov, D. V. and Oommen, B. J.,
Turning Lights Out with
DQLearning, Proceedings of AIA'06, the 2006 IASTED International
MultiConference on Artificial Intelligence and Applications,
Innsbruck, Austria, February 2006, pp. 451456.
 Kim, SW. and Oommen, B. J.,
TimeVarying
Prototype Reduction Schemes Applicable for Nonstationary Data Sets, Proceedings of AI'05, the 2005 Australian Joint Conference on Artificial Intelligence,
Sydney, Australia, December 2005, pp. 614623.
 Rueda, L. and Oommen, B. J.
Efficient Adaptive Data Compression using
Fano Binary Search Trees, Proceedings of ISCIS'05, the 2005 International Symposium on Computer and Information Sciences,,
Istanbul, Turkey, October 2005, pp. 768779.
 Oommen, B. J. and Rueda, L.
On Utilizing Stochastic Learning Weak Estimators for
Training and Classification of
Patterns with NonStationary Distributions, Proceedings of KI'05, the 2005 German Conference on Artificial Intelligence,
Koblenz, Germany, September 2005, pp. 107120.
 Badr, G. and Oommen, B. J.,
Enhancing TrieBased Syntactic Pattern Recognition
Using AI Heuristic Search Strategies, Proceedings of ICAPR'05, the 2005 International Conference on the Advances of Pattern Recognition,
Bath, United Kingdom, August 2005, pp. I:117. This talk was a Plenary/Keynote talk at the Conference.
 Horn, G. and Oommen, B. J.,
Generalized Pursuit Learning Automata for NonStationary
Environments Applied to the Stochastic
Static Mapping Problem, Proceedings of CITSA’05, the 2005 International Conference on Cybernetics and Information Technologies, Systems and Applications,
Orlando, Florida, July 2005, pp. 9197.
 Calitoiu, D., Oommen, B. J. and , Nussbaum, D.,
Modeling Inaccurate Perception: Desynchronization Issues
of a Chaotic Pattern Recognition Neural Network, Proceedings of SCIA'05, the 2005 Scandinavian Conference in Image Analysis,
Joensuu, Finland, June 2005, pp. 821830.
 Misra, S. and Oommen, B. J.,
New Algorithms for Maintaining
Dynamic AllPairs Shortest Paths, Proceedings of IEEESCC'05, the 2005 IEEE Symposium on Computers and Communications,
La Manga del Mar Menor, Spain, June 2005, pp. 116121.
 Calitoiu, D., Oommen, B. J. and , Nussbaum, D.,
Neural Networkbased Chaotic Pattern
Recognition : Part 1 : Stability and Periodicity Issues, Proceedings of PRIP'05, the 2005 International Conference on Pattern
Recognition and Information Processing,
Minsk, Belarus, May 2005, pp. 252259.
This talk was a Plenary/Keynote talk at the Conference.
 Calitoiu, D., Oommen, B. J. and , Nussbaum, D.,
Neural
Networkbased Chaotic Pattern Recognition : Part 2 :
Stability and Algorithmic Issues, Proceedings of CORES'05,
the 2005 Conference on Computer Recognition Systems,
Wroclaw, Poland, May 2005, pp. 316.
This talk was a Plenary/Keynote talk at the Conference.
 Badr, G. and Oommen, B. J.,
A LookAhead
Branch and Bound Pruning Scheme for TrieBased Approximate String Matching, Proceedings of CORES'05, the 2005 Conference
on Computer Recognition Systems,
Wroclaw, Poland, May 2005, pp. 8794.
 Calitoiu, D., Nussbaum, D. and Oommen, B. J.,
Investigating
Schizophrenia using Local Connectivity Considerations within the
Piriform Cortex, Proceedings of CCECE'05, the 2005
Canadian Conference on Electrical and Computer
Engineering,
Saskatoon, Canada, May 2005, pp. 16731677.
 Horn, G. and Oommen, B. J.,
A FixedStructure Learning Automaton
Solution to the Stochastic Static Mapping Problem, Proceedings of IPDPS’05, the 2005 IEEE International
Parallel and Distributed Processing Symposium,
Denver, Colorado, April 2005, pp. from 297b.
(Available electronically as of April 2005 at http://ieeexplore.ieee.org/iel5/9722/30685/01420272.pdf).
 Badr, G. and Oommen, B. J.,
On Using Conditional Rotations
and Randomized Heuristics for SelfOrganizing Ternary Search Tries, Proceedings of ACMSE'05, the 2005 ACM South Eastern
Conference,
Kennesaw, Georgia, March 2005, pp. 1:1091:115.
 Kim, SW. and Oommen, B. J.,
Selecting Subspace Dimensions
for Kernelbased Nonlinear Subspace Classifiers Using Intelligent
Search Methods, Proceedings of AI'04, the 2004 Australian
Joint Conference on Artificial Intelligence,
Cairns, Australia, December 2004, pp. 11151121.
 Agache, M. and Oommen, B. J.,
Generalized TSE: A New Generalized
Estimatorbased Learning Automaton, Proceedings of IEEECIS'04, the 2004 IEEE
Conference on Cybernetics and Intelligent Systems
Singapore, December 2004, pp. 245251.
 Oommen, B. J. and Rueda, L.,
On Families of New Adaptive Compression
Algorithms Suitable for Timevarying Source Data, Proceedings of ADVIS'04, the 2004 Biennial International
Conference on Advances in Information Systems,
Izmir, Turkey, October 2004, pp. 234244.
 Oommen, B. J. and Rueda, L.,
A New Family of Weak Estimators for
Training in NonStationary Distributions, Proceedings of SSSPR'04, the 2004 International
Symposium on Structural, Syntactic and Statistical Pattern Recognition,
Lisbon, Portugal, August 2004, pp. 644652.
 Oommen, B. J. and Badr, G.,
DictionaryBased Syntactic Pattern
Recognition Using Tries, Proceedings of SSSPR'04, the 2004 International
Symposium on Structural, Syntactic and Statistical Pattern Recognition,
Lisbon, Portugal, August 2004, pp. 251259.
 Misra, S. and Oommen, B. J.,
Adaptive Algorithms for Network Routing
and Traffic Engineering, Proceedings of AAAI‘04, the 2004 National Conference
on Artificial Intelligence,
San Jose, California, July 2004, pp. 993994.
 Misra, S. and Oommen, B. J.,
Generalized Pursuit Learning Algorithms for
Shortest Path Routing Tree Computation, Proceedings of ISCC'04, the 2004 IEEE Symposium on Computers and
Communications,
Alexandria, Egypt, JuneJuly 2004, pp. 891896.
 Oommen, B. J., Zgierski, J. R., and Nussbaum, D.,
Stochastic Sorting Using Deterministic
Consecutive and Leader Filters, Proceedings of AMCSE'04, the 2004 International Conference
on Algorithmic Mathematics and Computer Science,
Las Vegas, Nevada, June 2004, pp. 399405.
 Misra, S. and Oommen, B. J.,
Stochastic Learning AutomataBased Dynamic
Algorithms for the Single Source Shortest Path Problem, Proceedings of IEA/AIE'04, the 2004 International
Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems,
Ottawa, Canada,May 2004, pp. 239248.
This paper was nominated for the Best Paper Award of the Conference.
 Wang, Q. and Oommen, B. J.,
On Designing Pattern Classifiers Using
Artificially Created Bootstrap Samples, Proceedings of PRIS'04, the 2004 International
Workshop on Pattern Recognition in Information Systems,
Porto, Portugal, April 2004, pp. 159168.
 Oommen, B. J., Zgierski, J. R., and Nussbaum, D.,
Deterministic Majority Filters Applied To
Stochastic Sorting, Proceedings of ACMSE'04, the 2004 ACM South Eastern Conference,
Huntsville, Alabama, April 2004, pp. 228233.
 Altinel, K., and Aras, N. and Oommen, B. J.,
An Adaptive Method for Map
Reconstruction, Proceedings of EIS'04, the 2004 Conference on Engineering of Intelligent Systems,
Madeira, Portugal, FebruaryMarch 2004, from page 123.
 Oommen, B. J., Raghunath, G. and Kuipers, B.,
On How to Learn from a Stochastic Teacher
or a Stochastic Compulsive Liar of Unknown Identity, Proceedings of AI'03, the 2003 Australian Joint Conference on Artificial Intelligence,
Perth, Australia, December 2003, pp 2440.
This talk was a Plenary/Keynote talk at the Conference.
 Kim, SW. and Oommen, B. J.,
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to
Optimize KernelBased Nonlinear Subspace Methods, Proceedings of AI'03, the 2003 Australian Joint Conference on Artificial Intelligence,
Perth, Australia, December 2003, pp. 783795.
 Altinel, K., and Aras, N. and Oommen, B. J.,
A SelfOrganizing Method For Map
Reconstruction, Proceedings of NNSP'03, the 2003 IEEE International
Workshop on Neural Networks for Signal Processing,
Toulouse, France, September 2003, pp. 677688.
 Oommen, B. J. and Chen, J.,
A New Histogram Method for Sparse
Attributes : The Averaged Rectangular Attribute Cardinality Map, Proceedings of ISICT'03, the 2003 International
Symposium on Informtaion and Communication Technologies,
Dublin, Ireland, September 2003, pp. 119125.
 Oommen, B. J. and Chen, J.,
The Bounded Trapezoidal Attribute Cardinality Map and
its Application to Query optimization, Proceedings of ICCSI'03, the 2003 International Conference on Computer
Science and Informatics,
Cary, North Carolina, September 2003, pp. 422426.
 Ouerd, M., Oommen, B. J. and Matwin, S.,
Enhancing Caching in Distributed Databases Using Intelligent
Polytree Representations, Proceedings of CanAI'03, the 2003 Canadian Conference on Artificial
Intelligence,
Halifax, Canada, June 2003, pp. 498504.
 Wang, Q. and Oommen, B. J.,
Classification ErrorRate Estimation Using
New PseudoSample Bootstrap Methods, Proceedings of PRIS'03, the
2003 International Workshop on Pattern Recognition in Information Systems,
Angers, France, April 2003, pp. 96103.
 Kim, SW. and Oommen, B. J.,
Optimizing Kernelbased Nonlinear Subspace Methods Using
Prototype Reduction Schemes, Proceedings of AI'02, the 2002 Australian Joint Conference on Artificial Intelligence,
Canberra, Australia, December 2002, pp. 155166.
 Ouerd, M., Oommen, B. J. and Matwin, S.,
Data Generation for Testing DAGStructured Bayesian
Networks, Proceedings of IEEESMC'02, the 2002 IEEE International Conference on Systems, Man and Cybernetics,
Hammamet, Tunisia, October 2002.
 Kim, SW. and Oommen, B. J.,
Creative Prototype Reduction Schemes : A Taxonomy and
Ranking, Proceedings of IEEESMC'02, the 2002 IEEE International Conference on Systems, Man and Cybernetics,
Hammamet, Tunisia, October 2002.
 Kim, SW. and Oommen, B. J.,
Recursive Prototype Reduction Schemes Applicable for
Large Data Sets, Proceedings of SSPR'02, the 2002 International
Symposium on Syntactic and Statistical Pattern
Recognition,
Windsor, Canada, August 2002, pp. 528537.
 Kim, SW. and Oommen, B. J.,
On Using LVQ3Type Algorithms to Enhance Prototype
Reduction Schemes, Proceedings of
PRIS'02, the 2002 International Workshop on Pattern Recognition in Information Systems,
Alicante, Spain, April 2002, pp. 242256.
 Oommen, B. J. and Rueda, L.,
Using Pattern Recognition Techniques to
Derive a Formal Analysis of Why Heuristics Work, Proceedings of
PRIS'02, the 2002 International Workshop on Pattern Recognition in Information Systems,
Alicante, Spain, April 2002, pp. 4558.
 Rueda, L. and Oommen, B. J.,
Greedy Adaptive Fano Coding, Proceedings of IEEEAero'02, the 2002 IEEE Aerospace Conference,
Big Sky, Montana, March 2002, Paper 10.0407.
 Rueda, L. and Oommen, B. J.,
Resolving Minsky's Paradox : The dDimensional Normal
Distribution Case, Proceedings of AI'01, the 2001 Australian Joint Conference on Artificial Intelligence,
Adelaide, Australia, December 2001, pp. 2536.
 Rueda, L. and Oommen, B. J.,
Enhanced Static Fano Coding, Proceedings of IEEESMC'01, the 2001 IEEE International Conference on Systems, Man and Cybernetics,
Tucson, Arizona, October 2001, pp. 21632169.
 Batalov, D. and Oommen, B. J.,
On Playing Games Without Knowing the Rules, Proceedings of NAFIPS'01, the 2001 International Conference of the North American Fuzzy Information Processing Society,
Vancouver, Canada, July 2001, pp. 18621868.
 Oommen, B. J. and Wang, Q. Distance Bias Adjustment Bootstrap Estimation for
Bhattacharya Error Bound in Classifiers, Proceedings of
PRIS'01, the 2001 International Workshop on Pattern Recognition in Information Systems,
Seubal, Portugal, July 2001, pp. 103117
 Oommen, B. J.,
and Rueda, L. Histogram Methods
in Query Optimization: The Relation between Accuracy and
Optimality, Proceedings of DASFAA'01, the 2001
International Conference on Database Systemss for Advanced Applications,
Hong Kong, April 2001, pp. 320326.
 Racherla, G., Radhakrishnan, S.
and Oommen, B. J., A New Geometric Tool for Pattern Recognition  An
Algorithm for RealTime Insertion of Layered Segment
Trees, Proceedings of ICAPR'01, the
2001 International Conference on the Advances of Pattern Recognition,
Rio De Janeiro, Brazil, March 2001, pp. 212221.
 Oommen, B. J. and Wang, Q. Computing the Bhattacharya
Error Bound in Classifiers Using
Direct Bias Correction Bootstrap Methods, Proceedings of
NNA'01, the WSES 2001 International Conference on Neural Networks
and Applications,
Canary Islands, Spain, February 2001, pp. 7076.
 Ouerd, M., Oommen, B. J. and Matwin, S., A
Formalism for Building Causal Polytree Structures
Using Data Distributions, Proceedings of
ISMIS'00, the 2000 International Symposium on
Methodologies for Intelligent Systems,
Charlotte, North Carolina, October 2000, pp. 629637.
 Oommen, B. J. and Thiyagarajah,
M., On the Use of the Trapezoidal
Attribute Cardinality Map for Query Result Size
Estimation, Proceedings of IDEAS'00, the 2000
International Database Engineering and
Applications Symposium, Yokohama, Japan,
September 2000, pp. 236242.
 Rueda, L. and Oommen, B. J., The
Foundational Theory of Optimal Bayesian Pairwise
Linear Classifiers,
Proceedings of
SPR'00, the 2000 International Workshop on the
Advances in Statistical Techniques in Pattern
Recognition, Alicante, Spain,
August/September, 2000, pp. 581590.
 Oommen, B. J., Altinel, K. and Aras, N., On
Statistically Evaluating the Quality of
EmpiricallyComputed Hamiltonian Path Problem
Solutions, Proceedings
of EMAI'00, the 2000 Workshop on Empirical Methods in
Artificial Intelligence, Berlin, Germany,
August 2000, pp. 3346.
 Aras, N. Altinel, K. and
Oommen, B. J., A
Kohonenlike Decomposition Method for the
Traveling Salesman Problem  KNIES_DECOMPOSE, Proceedings of ECAI'00, the 2000
European Conference on Artificial Intelligence,
Berlin, Germany, August 2000, pp. 261265.
 Agache, M. and Oommen, B. J., Continuous
and Discretized Generalized Pursuit Learning
Schemes, Proceedings of SCI'00, the 2000
World Multiconference on Systemics, Cybernetics,
Orlando, Florida, July 2000, pp. VII:270275.
 Oommen, B. J. and Rueda, L., An
Empirical Comparison of Histogramlike Techniques
for Query Optimization, Proceedings
of ICEIS'00, the 2000 International Conference
on Enterprise Information Systems, Stafford,
UK, July 2000, pp. 7178.
 Oommen, B. J. and Agache, M., A
Comparison of Continuous and Discretized Pursuit
Learning Schemes,
Proceedings of IEEESMC'99, the 1999 IEEE International
Conference on Systems, Man and Cybernetics,
Tokyo, Japan, October 1999, pp. IV:10611067.
 Oommen, B. J., Altinel, K., and
Aras, N., Kohonenlike Neural Solutions to the
Hamiltonian Path Problem, Proceedings of AICS'99, the 1999
Irish Conference on Artificial Intelligence and
Cognitive Science, Cork, Ireland, September
1999, pp. 5157.
 Thiyagarajah, M. and Oommen, B.
J., On Using the TPCD Specifications for
Benchmarking Attribute Cardinality Maps for
Database Systems,
Proceedings of DEXA'99, the 1999
International Conference on Database and Expert
Systems Applications, Florence, Italy,
AugustSeptember 1999, pp. 292301.
 Oommen, B. J. and Thiyagarajah,
M., Query Result Size Estimation Using a
Novel Histogramlike Technique : The Rectangular
Attribute Cardinality Map, Proceedings of IDEAS'99, the 1999
International Database Engineering and
Applications Symposium, Montreal, Canada,
August 1999, pp. 315.
 Oommen, B. J. and Roberts, T.
D., On Solving The Capacity Assignment
Problem Using Continuous Learning Automata, Proceedings of IEA/AIE'99, the
1999 International Conference on Industrial
and EngineeringApplications of Artificial
Intelligence and Expert Systems, Cairo,
Egypt, MayJune 1999,MayJune 1999, pp. 622631.
 Thiyagarajah, M. and Oommen, B.
J., Prototype Validation of the
Rectangular Attribute Cardinality Map for Query
Optimization in Database Systems, Proceedings of BIS'99, the 1999
International Conference on Business Information
Systems, Poznan, Poland, April 1999, pp.
250262.
 Thiyagarajah, M. and Oommen, B.
J., Prototype Validation of the
Trapezoidal Attribute Cardinality Map for
Query Optimization in Database Systems, Proceedings of ICEIS'99, the 1999
International Conference on Enterprise
Information Systems, Setubal, Portugal, March
1999, pp. 156162.
 Oommen, B. J. and Zgierski, J.,
On Using Stochastic Competitions to
Obtain Combinatorial Equivalences Involving Beta
Functions, Proceedings
of CAM'99, the 1999 Conference on Applied
Mathematics , Edmond, Oklahoma, February
1999, pp. 200210.
 Oommen, B. J. and Loke, R. K.
S., On the Recognition of Noisy
Subsequence Trees,
Proceedings of SSPR'98, the 1998 International
Symposium on Syntactic and Statistical Pattern
Recognition , Sydney, Australia, August 1998,
pp. 169180.
 Oommen, B. J. and Roberts, T.
D., A Fast and Efficient Solution to the
Capacity Assignment Problem using Discretized
Learning Automata,
Proceedings of IEA/AIE'98, the 1998
International Conference on Industrial and
Engineering Applications of Artificial
Intelligence and Expert Systems, Benicassim,
Spain, June 1998, Vol II: pp. 5665.
 Oommen, B. J., Aras, N. and
Altinel, K., Solving
the Travelling Salesman Problem using the Kohonen
Network Incorporating Explicit Statistics, Proceedings of WIRN/VIETRI'98, the
Tenth Italian Workshop on Neural Nets ,
Vietri sul Mare, Italy, May 1998, pp. 273282.
 Oommen, B. J. and Dong, J., Generalized
SwapwithParent Schemes for SelfOrganizing
Sequential Linear Lists, Proceedings of ISAAC'97, the 1997
International Symposium on Algorithms and
Computation, Singapore, December 1997, pp.
414423.
 Zhu, Q. and Oommen, B.J., On
The Optimal Search Problem: The Case when the
Target Distribution is Unknown, Proceedings of SCCC'97, the 1997
International Conference of the Chilean Computer
Science Society , Valparaiso, Chile, November
1997, pp. 268277.
 Aras, N., Altinel, I. K. and
Oommen, B. J., A
New SelfOrganizing Approach to the Traveling
Salesman Problem,
Proceedings of ISCIS'97, the 1997 International
Symposium on Computer and Information Sciences,
Antalya, Turkey, October 1997, pp. 385392.
 Oommen, B.J. and Loke, R.K.S., On
Using Parametric String Distances and Vector
Quantization in Designing Syntactic Pattern
Recognition Systems, Proceedings of IEEESMC'97, the 1997 IEEE
International Conference on Systems, Man and
Cybernetics, Orlando, Florida, October 1997,
pp. 511517.
 Oommen, B. J. Altinel, I. K.,
Aras, N., Arbitrary Distance Function
Estimation Using Discrete Vector Quantization, Proceedings of IEEENN'97, the 1997 IEEE
International Conference on Neural Networks,
Houston, Texas, June 1997, pp. 12721277.
 Oommen, B.J. and Loke, R. K.
S., Optimal and Information Theoretic
Syntactic Pattern Recognition for Traditional and
Generalized Transposition Errors, Proceedings of FSTTCS'96, The 1996
Symposium on the Foundations of Software
Technology and Theoretical Computer Science,
Hyderabad, India, December 1996, pp. 224237.
 Oommen, B.J. and Raghunath, G.,
Stochastic Point Location : A
Solution using Learning Automata and Intelligent
Tertiary Search,
Proceedings of ISAI'96, the 1996 International
Symposium on Artificial Intelligence, Cancun,
Mexico, November 1996, pp. 221227.
 Oommen, B.J. and Loke, R. K.
S., Probabilistic Syntactic Pattern
Recognition for Traditional and Generalized
Transposition Errors, Proceedings of ICPR'96, the 1996
International Conference on Pattern Recognition,
Vienna, Austria, August 1996, pp. 685689.
 Oommen, B.J. and Kashyap, R.
L., Optimal and Information Theoretic
Syntactic Pattern Recognition for Traditional
Errors, Proceedings
of SSPR'96, the 1996 International Symposium on
Syntactic and Structural Pattern Recognition,
Leipzig, Germany, August 1996, pp. 1120.
 Oommen, B.J. and Loke, R. K.
S., Noisy Subsequence Recognition Using
Constrained String Editing Involving
Substitutions, Insertions, Deletions and
Generalized Transpositions, Proceedings of ICSC'95, the 1995
International Computer Science Conference : Image
Analysis Applications and Computer Graphics,
Hong Kong, December 1995, pp. 116123.
 Oommen, B. J., Altinel, I. K.,
Aras, N, Arbitrary
Distance Function Estimation Using Vector
Quantization, Proceedings
of IEEENN'95, the 1995 IEEE International Conference on
Neural Networks, Perth, Australia, December
1995, pp. 30623067.
 Oommen, B.J. and Loke, R. K.
S., Pattern Recognition of Strings
Containing Traditional and Generalized
Transposition Errors, Proceedings of IEEESMC'95, the 1995 IEEE
International Conference on Systems, Man and
Cybernetics, Vancouver, Canada, October 1995, pp.
11541159.
 Oommen, B.J. and De St. Croix,
T., On Using Learning Automata for Fast
Graph Partitioning, Proceedings of LATIN'95, the 1995
Latin American Symposium on Theoretical
Informatics , Valparaiso, Chile, April 1995,
pp. 449460.
 Nguyen, T. and Oommen, B.J., Moment
Preserving PieceWise Linear Curve Approximations
Suitable for Vision and Image Understanding, Proceedings of IAS'95, the 1995
International Conference on Intelligent
Autonomous Systems, Karlsruhe, Germany, March
1995, pp. 521528.
 Sum, S.T. and Oommen, B.J., Unsupervised
Learning Using A Generalized Method of Moments :
A Unified Solution for the Exponential Family, Proceedings of ISCIS'94, the 1994
International Symposium on Computer and
Information Sciences, Antalya, Turkey,
November 1994, pp. 720727.
 Oommen, B.J. and De St. Croix,
T., String Taxonomy Using Object
Migrating Automata, Proceedings of SSPR'94, the 1994
International Symposium on Syntactic and
Statistical Pattern Recognition, Nahariya,
Israel, October 1994, pp. 271280.
 Oommen, B.J., Parameter
Learning and its Applications in Nonlinear
Optimization, Proceedings
of ISNTA'93, the 1993 International Symposium on Nonlinear
Theory and its Applications, Hawaii, December
1993, pp. 9991002.
 Oommen, B.J. and Kashyap, R.L.,
Symbolic Channel Modeling for Noisy
Channels which Permit Arbitrary Noise
Distributions, Proceedings
of ISCIS'93, the 1993 International Symposium on Computer
and Information Sciences, Istanbul, Turkey,
November 1993, pp. 492499.
 Oommen, B.J., String
Editing with Substitution, Insertion, Deletion,
Squashing and Expansion Operations, Proceedings of ISCIS'93, the 1993
International Symposium on Computer and
Information Sciences, Istanbul, Turkey,
November 1993, pp. 284291.
 Oommen, B.J and Masum, H., On
Modeling NonStationary Random Environments Using
Switching Techniques, Proceedings of IEEESMC'93, the 1993 IEEE
International Conference on Systems, Man and
Cybernetics, October 1993, Le Touquet,
France, pp. 572577.
 Oommen, B.J. and Lee, W., Tree
Editing with Arbitrarily Complex Edit Constraints, Proceedings of ICSC'92, the 1992
International Computer Science Conference : Data
and Knowledge Engineering : Theory and
Applications, Hong Kong, December 1992, pp.
409415.
 Oommen, B.J. and Lee, W., A
Common Basis for Similarity and Dissimilarity
Measures Involving Two Trees, Proceedings of ISCIS'92, the 1992
International Symposium on Computer and
Information Sciences, Antalya, Turkey,
November 1992, pp. 3339.
 Oommen, B.J. and Zgierski, J., SEATER
: A Simulation Environment Using Learning
Automata for Telephone Traffic Routing, Proceedings of IEEESMC'92, the 1992 IEEE
International Conference on Systems, Man and
Cybernetics, Chicago, Illinois, October 1992, pp.
4348.
 Valiveti, R.S. and Oommen,
B.J., A DoublyLinked List Reorganizing
Strategy with Stochastic MovetoEnd Operations, Proceedings of ICCCS'92, the 1992
International Conference of the Chilean Computer
Science Society, Santiago,
Chile, October 1992, pp. 249257.
 Oommen, B.J. and Fothergill,
C., The Image Examination and Retrieval
Problem : A Learning AutomatonBased Solution, Proceedings of ICARCV'92, the 1992
International Conference on Automation, Robotics,
and Computer Vision, Singapore, September
1992, pp. 21.5.121.5.5.
 Oommen, B.J. and Ng, D.T.H., Enhancing
Data Retrieval Using Artificially Synthesized
Queries, Proceedings
of ORSACSTS'92, the 1992 ORSACSTS Conference on Computer
Science and Operations Research : New
Developments in Their Interfaces,
Williamsburg, Virginia, January 1992, pp. 513532.
 Valiveti, R.S. and Oommen,
B.J., The MovetoFront List Organizing
Heuristic for NonStationary Query Distributions, Proceedings of ISCIS'91, the 1991
International Symposium on Computer and
Information Sciences,
Antalya, Turkey, October/November 1991, pp. 105114.
 Valiveti, R.S. and Oommen,
B.J., New Absorbing and Ergodic
DoublyLinked List Reorganizing Heuristics, Proceedings of ICCCS'91, the 1991
International Conference of the Chilean Computer
Science Society, Santiago,
Chile, October 1991, pp. 170181.
 Lanctôt, J.K. and Oommen,
B.J., On Discretizing EstimatorBased
Learning Algorithms, Proceedings of IEEESMC'91, the 1991 IEEE
International Conference on Systems, Man and
Cybernetics, Charlottesville,
Virginia, October 1991, pp. 14171422.
 Oommen, B.J , Ng, D.T.H. and
Hansen, E.R., On
Using Random Races in Learning Machines which
Rank Actions in Stochastic Environments, Proceedings of IEEESMC'91, the 1991 IEEE
International Conference on Systems, Man and
Cybernetics, Charlottesville,
Virginia, October 1991, pp. 14651471.
 Valiveti, R.S. and Oommen,
B.J., On Measuring Presortedness in
Ensembles of Data Sequences, Proceedings of AllertonCCCC'91, the 1991
Allerton Conference on Communication, Control and
Computing, University of Illinois at UrbanaChampaign, Illinois, October 1991, pp. 518523.
 Valiveti, R.S., Oommen, B.J.
and Zgierski, J., Adaptive
List Reorganization for a System Processing Set
Queries, Proceedings
of FCT'91, the 1991 Conference on the Fundamentals of
Computation Theory, September 1991, Berlin, Germany,
pp. 405414.
 Oommen, B.J. and Floyd E.T., An
Improved Algorithm for the Recognition of Noisy
Subsequences, Proceedings
of AIANN'91, the 1991 IASTED International Symposium on
Artificial Intelligence Applications and Neural
Networks, July 1991, Zurich, pp. 145147.
 Valiveti, R.S. and Oommen,
B.J., A SyntacticStatistical Pattern
Recognition Approach to Distinguishing Between
Encryption Keys,
Proceedings of AIANN'91, the 1991 IASTED International
Symposium on Artificial Intelligence Applications
and Neural Networks, July 1991, Zurich, Switzerland, pp.
122124.
 Oommen, B.J. and Zgierski, J., On
Breaking Substitution Cyphers Using Learning
Automata, Proceedings
of IEA/AIE'91, the 1991 IEA/AIE International Conference on
Industrial and Engineering Applications of
Artificial Intelligence and Expert Systems,
Hawaii, USA, June 1991, pp. 284293.
 Oommen, B.J. and Zgierski, J., Keyboard
Optimization Using Genetic Techniques, Proceedings of PCCC'91, the 1991
Phoenix Conference on Computers and
Communications, Scottsdale,
Arizona, March 1991, pp. 726732.
 Valiveti, R.S. and Oommen,
B.J., The Optimality of the ChiSquared
Metric for Determining Dependence in Normal
Vectors, Proceedings
of ISITA'90, the 1990 International Symposium on
Information Theory and its Applications,
November 1990, Hawaii, USA, pp. 375378.
 Oommen, B.J., Object
Partitioning Using a Hierarchy of Stochastic
Automata, Proceedings
of IEEESMC'90, the 1990 IEEE International Conference on
Systems, Man and Cybernetics,
Los Angeles, California, November 1990, pp. 184187.
 Oommen, B.J., Valiveti, R.S.
and Zgierski, J., A
Fast Learning Automaton Solution to the Keyboard
Optimization Problem, Proceedings of IEA/AIE'90, the 1990 IEA/AIE
International Conference on Industrial and
Engineering Applications of Artificial
Intelligence and Expert Systems,
Charleston, South Carolina, July 1990, pp. 981990.
 Valiveti, R.S. and Oommen,
B.J., On the Problem of Recognizing Sources
Generating Random Strings, Proceedings of CISS'90, the 1990 Princeton Conference on Information Sciences and Systems, Princeton, New Jersey,
March 1990, pp. 972977.
 Christensen, J.P.R. and Oommen,
B.J., On Using Distribution Theory to Prove
the EpsilonOptimality of Stubborn Learning
Mechanisms, Proceedings
of IEEESMC'89, the 1989 IEEE International Conference on
Systems, Man and Cybernetics,
Boston, Massachusetts, November 1989, pp. 286291.
 Oommen, B.J. and Lanctôt,
J.K., EpsilonOptimal Discretized Pursuit
Learning Automata,
Proceedings of IEEESMC'89, the 1989 IEEE International
Conference on Systems, Man and Cybernetics,
November 1989, Boston, Massachusetts, pp. 612.
 Valiveti, R.S. and Oommen,
B.J., A New Metric for Determining
Dependence Trees for Pattern Recognition, Proceedings of ISCADSP'89, the 1989 IEE
International Symposium on Computer Architecture
and Digital Signal Processing, October 1989,
Hong Kong, pp. 474479.
 Ng, D.T.H. and Oommen, B.J., Generalizing
SinglyLinked List Reorganizing Heuristics for
DoublyLinked Lists, Proceedings of MFCS'89, the 1989 Conference
on the Mathematical Foundations of Computer
Science, Rytro, Poland, Aug./Sept., 1989, pp.
380389.
 Oommen, B, J. and Ng, D.T.H., Optimal
Constant Space MoveToRear List Organization, Proceedings of ISOA'89, the 1989
International Symposium on Optimal Algorithms,
Varna, Bulgaria, May /June 1989, pp. 115125.
 Oommen, B, J. and Ng, D.T.H., Arbitrarily
Distributed Random Permutation Generation, Proceedings of ACMSE'89, the 1989 ACM South Eastern
Conference, Louisville, Kentucky,
February 1989, pp. 2732.
 Ng, D.T.H., Oommen, B.J. and
Hansen, E.R., The
Theory and Applications of UniDimensional Random
Races with Probabilistic Handicaps, Proceedings of ICACCS'88, the 1988
International Conference on Advances in
Communications and Control Systems, Baton
Rouge, Louisiana, October 1988, pp. 12281237.
 Cheetham, R.P., Oommen, B.J.
and Ng, D.T.H., On
Using Conditional Rotation Operations to
Adaptively Structure Binary Search Trees, Proceedings of ICDT'88, the 1988
International Conference on Database Theory,
Bruges, Belgium, August/September 1988, pp.
161175.
 Oommen, B.J., Iyengar S.S. and
Andrade, N., On
Using Stochastic Automata for Trajectory Planning
of Robot Manipulators in Noisy Workspaces, Proceedings of IEEECAIA'88, the 1988 IEEE
Conference on Artificial Intelligence
Applications, San Diego, California, March, 1988, pp. 8894.
 Oommen, B.J. and Reichstein,
I., On Batch Scheduled Multiple Mobile
Robots Cluttering a Workspace, Proceedings of IEEECDC'87, the 1987 IEEE
International Conference on Decision and Control,
December 1987 Los Angeles, California, pp.
645648.
 Oommen, B.J. and Christensen,
J.P.R., On
Three Families of Asymptotically Optimal Linear
RewardPenalty Learning Automata, Proceedings of IEEESMC'87, the 1987 IEEE
International Conference on Systems, Man and
Cybernetics, October 1987, Alexandria,
Virginia, pp. 923928.
 Oommen, B.J., Hansen, E.R. and
Munro, J.I., Deterministic
MovetoRear List Organizing Strategies with
Optimal and Expedient Properties, Proceedings of AllertonCCCC'87, the 1987
Allerton Conference on Communication, Control and
Computing, University of Illinois at UrbanaChampaign, Illinois, September/October 1987, pp. 5463.
 Reichstein, I. and Oommen,
B.J., On List Scheduled Multiple Mobile
Robots Cluttering a Workspace, Proceedings of ISRA'87, the 1987 IASTED
International Symposium on Robotics and
Automation, June 1987, Lugano, Switzerland,
pp. 6569.
 Oommen, B.J. and Ma, D.C.Y., Fast
Object Partitioning Using Stochastic Learning
Automata, Proceedings
of ICRDIR'87, the 1987 International Conference on Research
and Development in Information Retrieval, New
Orleans, Louisiana, June 1987, pp. 111122.
 Reichstein, I. and Oommen,
B.J., Computational Issues in determining
the Optimal Number of Mobile Robots Operating in
a Common Workspace, Proceedings of PCMS'87, the
1987 Pittsburgh Conference on Modeling and
Simulation, Pittsburgh, Pennsylvania, Vol. 18, April 1987,
pp. 845854.
 Oommen, B.J., The
Noisy Subsequence Recognition Problem, Proceedings of CISS'87, the 1987 Conference
on Information Sciences and Systems, Johns
Hopkins University, Maryland, Vol. 21, March
1987, pp. 752758.
 Rao, S.V.N., Iyengar, S.S.,
Oommen, B.J. and Kashyap, R.L., Terrain
Acquisition by Point Robot Amidst Polyhedral
Obstacles, Proceedings
of IEEEICAIA'87, the 1987 IEEE International Conference on
Artificial Intelligence Applications, Kissimmee,
Florida, Feb. 1987, pp. 170175.
 Oommen, B.J. and Ma, D.C.Y., Fast
Automata Solutions to the Equal Partitioning
Problem, Proceedings
of IEEECOMPSAC'86, the 1986 IEEE Computer Software and
Applications Conference, Chicago, Illinois, October
1986, pp. 358364.
 Oommen, B.J., On
How TwoAction Ergodic Learning Automata Can
Utilize A priori Information, Proceedings of IEEESMC'86, the 1986 IEEE
International Conference on Systems, Man and
Cybernetics, October 1986, Atlanta, Georgia,
pp. 308312.
 Oommen, B.J. and Hansen, E.R., Expedient
Stochastic MovetoFront and Optimal Stochastic
MovetoRear List Organizing Strategies, Proceedings of ICDT'86, the 1986
International Conference on Database Theory,
Rome, Italy, September 1986, pp. OH116.
 Oommen, B.J., Iyengar, S.S.,
Rao, S.V.N. and Kashyap, R.L., Robot
Navigation in Unknown Terrains of Convex
Polygonal Obstacles Using Learned Visibility
Graphs, Proceedings
of NCAI'86, the 1986 National Conference on Artificial
Intelligence, Philadelphia, Pennsylvania, August 1986, pp.
11011106.
 Oommen, B.J. and Reichstein,
I.R., On Translating Ellipses Amidst
Elliptic Obstacles, Proceedings of IEEERA'86, the 1986 IEEE
International Conference on Robotics and
Automation, San Francisco, California, April 1986, pp.
17551760.
 Oommen, B.J., On
the Futility of Arbitrarily Increasing the Memory
Capabilities of Stochastic Learning Automata, Proceedings of IEEEICAIA'86, the 1986 IEEE
International Conference on Artificial
Intelligence Applications, Miami Beach,
Florida, December 1985, pp. 308312.
 Oommen, B.J., Linear
and Nonlinear Absorbing and Ergodic Discretized
Two Action Learning Automata, Proceedings of IEEESMC'85, the 1985 IEEE
International Conference on Systems, Man and
Cybernetics, Tucson, Arizona, November 1985,
pp. 241245.
 Oommen, B.J., A
Possibly Linear Minimum Spanning Circle Algorithm, Proceedings of AllertonCCCC'85, the 1985
Allerton Conference on Communication, Control and
Computing, University of Illinois at UrbanaChampaign, Illinois, October 1985, pp. 506507.
 Oommen, B.J. and Hansen, E.R., The
Asymptotic Properties of Two Action Discretized
Linear InactionPenalty Learning Automata, Proceedings of CISS'85, the 1985 Conference
on Information Sciences and Systems, Johns
Hopkins University, Maryland, March 1985, pp.
647653.
 Oommen, B.J., On
the Use of Smoothsort and Stochastic
MovetoFront Operations for Optimal List
Organization, Proceedings
of AllertonCCCC'84, the 1984 Allerton Conference on
Communication, Control and Computing, University of Illinois at UrbanaChampaign, Illinois, October
1984, pp. 243252.
 Oommen, B.J., Algorithms
for String Editing which Permit Arbitrarily
Complex Edit Constraints, Proceedings of MFCS'84, the 1984 Conference
on the Mathematical Foundations of Computer
Science, Prague, Czechoslovakia, September,
1984, pp. 443451.
 Oommen, B.J., The
Applicability of Generalized Krylov Automata to
Learning in Nonstationary Environments, Proceedings of PCMS'84, the 1984
Pittsburgh Conference on Modeling and Simulation, Pittsburgh, Pennsylvania,
April 1984, pp. 789798.
 Oommen, B.J. and Hansen, E.R., The
Optimal Properties of Two Action Discretized
RewardInaction Learning Automata, Proceedings of CISS'84, the 1984 Princeton Conference on Information Sciences and Systems, Princeton, New Jersey,
March 1984, pp. 658662.
 Oommen, B.J. and Kashyap, R.L.,
A Scale Preserving Cartographic
Smoothing Technique for Islands and Lakes, Proceedings of AutoCarto'83: The
1983 International Symposium on Automated
Cartography, Ottawa, Canada, October 1983, pp.
243251.
 Oommen, B.J. and Thathachar,
M.A.L., Multiaction
Learning Automata Possessing Ergodicity of the
Mean, Proceedings
of MECO'83: The 1983 IASTED International
Symposium on Measurement and Control, Athens,
Greece, August 1983, pp. 6164.
 Thathachar, M.A.L. and Oommen,
B.J., Generalized Krylov Automata, Proceedings of CISS'83, the 1983 Conference
on Information Sciences and Systems, Johns
Hopkins University, Maryland, March 1983, pp.
495500.
 Thathachar, M.A.L. and Oommen,
B.J., Two Action Learning Automata
Possessing Ergodicity of the Mean, Proceedings of PCCC'83, the 1983
Phoenix Conference on Computers and
Communications, Phoenix, Arizona, March 1983, pp. 252256.
 Kashyap, R.L. and Oommen, B.J.,
A Geometrical Approach to Polygonal
Dissimilarity and the Classification of Closed
Boundaries, Proceedings
of ICPR'82, the 1982 International Conference on Pattern Recognition, Munich, Germany, October 1982, pp.
472479.
 Kashyap, R.L. and Oommen, B.J.,
Probabilistic Correction of Strings, Proceedings of PRIP'82, the 1982 IEEE Conference
in Pattern Recognition and Image Processing,
Las Vegas, Nevada, June 1982, pp. 2833.
 Kashyap, R.L. and Oommen, B.J.,
Similarity and Dissimilarity Measures
for Sets of Strings, Proceedings of CISS'82, the 1982 Princeton Conference on Information Sciences and Systems,
Princeton, New Jersey, March 1982, pp. 101105.
 Kashyap, R.L. and Oommen, B.J.,
Pattern Matching with Noisy
Substrings, Proceedings
of IEEECOMPSAC'80, the 1980 IEEE Computer Software and Application
Conference, Chicago, Illinois, November 1981, pp.
119125.
 Kashyap, R.L. and Oommen, B.J.,
A Unifying Theory for Order
Preserving Properties Involving Two Strings, Proceedings of CISS'80, the 1980 Princeton Conference on Information Sciences and Systems, Princeton, New Jersey,
March 1980, pp. 193198.
 Kashyap, R.L. and Oommen, B.J.,
An
Effective Algorithm for String Correction Using a
Generalized Distance, Proceedings of IEEEPRIP'79, the 1979 IEEE Computer
Society Conference on Pattern Recognition and
Image Processing,
Chicago, Illinois, August 1979, pp.
184191.

BOOK CHAPTERS


Emerging Trends in Machine Learning: Classification of Stochastically Episodic Events. In
Emerging Paradigms in Machine Learning and Applications, pp. 161195.
Published by Springer (Series: Smart Innovation, Systems and Technologies).
Edited by S. Ramanna, R. J. Howett and L. Jain.
(Coauthored by C. Bellinger), 2012.

FaultTolerant Routing in Mobile Ad Hoc Networks. In
Theory and Applications of Ad Hoc Networks, pp. 323344.
Published by INTECH.
Edited by W. Xin.
(Coauthored by L. Rueda), 2011.

An Enhanced Treeshaped Adachilike Chaotic Neural Network Requiring Lineartime Computations. In
Chaotic Systems: Theory and Applications, pp. 284293.
Published by World Scientific.
Edited by C. H. Skiadas and I. Dimotikalis.
(Coauthored by K. Qin), 2010.

Stochastic Learningbased Weak Estimation and Its Applications. In
Knowledgebased Intelligent System Advancements: Systemic and Cybernetic Approaches, pp. 129.
Published by Published by IGI Global in the Advances in Artificial Intelligence Technologies series.
Edited by J. Jozefczyk and D. Orski.
ISBN: 9781616928117.
(Coauthored by L. Rueda), 2010.

Learning Automatabased Solutions to Stochastic Nonlinear
Resource Allocation Problems. In
Intelligent Systems for Knowledge Management, SCI 252, pp. 130.
Published by Springer Publishers.
Edited by N. T. Nguyen and E. Szczerbicki.
(Coauthored by OC. Granmo), 2009.

Learning Automatabased Solutions to the Goore Game and its
Applications. In
Game Theory: Strategies, Equilibria, and Theorems, pp. 183216.
Published by Nova Science Publishers, New York.
Edited by Edited by I. N. Haugen and A. S. Nilsen.
(Coauthored by OC. Granmo), 2009.

Cybernetics and Learning Automata. In
Handbook of Automation, pp. 219232, 2009.
Published by Springer Publishers, New York.
Edited by S. Y. Nof.
(Coauthored by S. Misra).

On Enhancing Query Optimization in the ORACLE Database
System by Utilizing Attribute Cardinality Maps. In
Enterprise Information Systems VIII, pp. 3871,
2008.
Published by Springer as LNBIP  the Lecture Notes in
Business Information Processing. Vol. 3. Edited by Y.
Manolopoulos, J. Filipe, P. Constantopoulos and J.
Cordeiro. ISBN: 9783540775805.
(Coauthored by J. Chen).

Introduction to Chaotic Pattern Recognition:
Periodicity and Stability Issues of a Chaotic
Neural Network. In
Pattern Recognition Theory and Application, pp. 239
257, 2008.
Published by Nova Science Publishers, New York.
Edited by Erwin A. Zoeller.
(Coauthored by D. Calitoiu and D. Nussbaum).

String Correction Using Probabilistic Methods. In
Computer Text Recognition and Error Correction.
Published by the IEEE Computer Society.
Edited by S. N. Srihari.
(Coauthored by R.L. Kashyap).

The Noisy Substring Matching Problem. In
Computer Algorithms : String Pattern Matching Strategies.
Published by the IEEE Computer Society.
Edited by JI. Aoe.
(Coauthored by R.L. Kashyap).

PAPERS
TO
BE
SUBMITTED
(A
SHORT
LIST)

Please contact me and I will send you the list of papers that I am currently working on, by mail.

PATENTS 
 SearchEnhanced TrieBased Syntactic Pattern
Recognition of Sequences. Inventors: Ghada Badr and B. John Oommen.
U.S. and Canada. U.S Patent No. 7,689,588 issued on March 30, 2010. Canadian Patent No. 2,608,772 issued on March 22, 2013. Click here for an overview.
Significance of the Patent: This patent solves the problem of achieving the syntactic pattern recognition of sequences, when the
dictionary is stored as a trie. The competing patent was
invented by Risvik, and our invention is, in some cases, five times faster than Risvik's.
 A Method For Encryption with Statistical Perfect
Secrecy. Inventors: B. John Oommen and Luis
G. Rueda. U.S., Canada, and in some other countries. U.S. Patent No. 7,508,935 issued on March 24, 2009. Canadian Patent No. 2,460,863 issued on April 26, 2011.
Click here for an overview.
To view the results of the FIPS1402 tests and other statistical tests on files encrypted with this encryption
Click here
.
Significance of the Patent: This patent solves a compressionbased problem that was reported
to be unsolved in the standard textbooks. Using this solution, we were able to invent an
encryption which provided Statistical Perfect Secrecy. We
believe that our solution is still the only one known for this
problem.
 Method of Comparing the Closeness of a Target Tree to Other
Trees Using Noisy Subsequence Tree Processing.
Inventor: B. John Oommen. U.S. and Canada. U.S. Patent No. 7,278,026 issued on October 23, 2007.
Canadian Patent No. 2,386,578 issued on June 8, 2010.
For an overview click here. For information on Drug Design click here, or find more information here.
Significance of the Patent: This patent solves the problem of recognizing noisy subsequence trees. To the best of our knowledge,
our patented solution is still the only patented invention
which solves the problem.
 A Method of Generating
Attribute Cardinality Maps. Inventor: B. John Oommen and
Murali Thiyagarajah. U.S. and Canada.
U.S Patent No. 6,865,567 issued on March 8, 2005. Canadian Patent No. 2,279,359 issued on March 16, 2012. For an overview click here.
Significance of the Patent: All the database systems (ORACLE, DB2, Sybase etc.) achieve query optimization using the equidepth histogram. This patent presents two new histogram methods, namely
the Rectangular Attribute Cardinality Map and the Trapezoidal
Attribute Cardinality Map. Both of these estimate the query result
sizes more accurately than the equidepth histogram, and thus yield
significantly superior query optimization.

TALKS,
PRESENTATIONS
& SEMINARS 
I have presented seminars and talks at various conferences, universities and research centers in probably 40 countries including Argentina, Australia, Belgium, Brazil, Canada, Chile, China, Denmark, France, Holland, Hong Kong, India, Israel, Japan, Korea, Norway, Singapore, Spain, Turkey, the UK, the USA etc.
