B. John Oommen

399 papers A* 5A 5B 20C 34Misc 16Journal 195Unranked 120
YearRankTypeTitle / Venue / Authors
2025 J jnl
Function approximations valid in both time and frequency domains using legendre moments.
Pattern Anal. Appl.
Hamid Reza Aghamiri, James R. Green, B. John Oommen
2025 J jnl
Nonparametric Probability Density Function Estimation Using the Padé Approximation.
Algorithms
Hamid Reza Aghamiri, S. Abolfazl Hosseini, James R. Green, B. John Oommen
2024 J jnl
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality.
IEEE Trans. Neural Networks Learn. Syst.
Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen
2023 J jnl
Adaptive learning with artificial barriers yielding Nash equilibria in general games.
Knowl. Eng. Rev.
Ismail Hassan, B. John Oommen, Anis Yazidi
2023 J jnl
Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes.
Pattern Anal. Appl.
B. John Oommen, Rebekka Olsson Omslandseter, Lei Jiao
2023 — conf
Machine Learning and AI Approaches for Classifying Primary Brain Tumours Using Conventional MRI Scans.
MICAD
Nitya Kuruvila, Tahira Ghani, Omar Islam, B. John Oommen
2023 J jnl
Pioneering approaches for enhancing the speed of hierarchical LA by
Inf. Sci.
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
2023 J jnl
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers.
IEEE Trans. Neural Networks Learn. Syst.
Anis Yazidi, Daniel Silvestre, B. John Oommen
2023 J jnl
The object migration automata: its field, scope, applications, and future research challenges.
Pattern Anal. Appl.
B. John Oommen, Rebekka Olsson Omslandseter, Lei Jiao
2023 J jnl
User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution.
Pattern Anal. Appl.
Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, B. John Oommen
2022 — conf
A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results.
Honoring Professor Mohammad S. Obaidat
B. John Oommen, Xuan Zhang, Lei Jiao
2022 J jnl
Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in General Games.
CoRR
Ismail Hassan, Anis Yazidi, B. John Oommen
2022 Misc conf
Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach.
AI
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
2022 Misc conf
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information.
FLAIRS
Ismail Hassan, B. John Oommen, Anis Yazidi
2022 Misc conf
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
AI
Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen
2021 — conf
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes.
IEA/AIE (2)
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
2021 J jnl
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm.
IEEE Trans. Neural Networks Learn. Syst.
Anis Yazidi, Ismail Hassan, Hugo Lewi Hammer, B. John Oommen
2021 J jnl
Nonparametric "anti-Bayesian" quantile-based pattern classification.
Pattern Anal. Appl.
Fatemeh Mahmoudi, Mostafa Razmkhah, B. John Oommen
2021 Misc conf
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes.
AIAI
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
2021 J jnl
On solving single elevator-like problems using a learning automata-based paradigm.
Evol. Syst.
Omar Ghaleb, B. John Oommen
2021 J jnl
On utilizing 2D features from 3D scans to enhance the prediction of lung cancer survival rates.
Pattern Recognit. Lett.
Tahira Ghani, B. John Oommen
2021 J jnl
On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists.
Evol. Syst.
O. Ekaba Bisong, B. John Oommen
2021 J jnl
On utilizing the transitivity pursuit-enhanced object partitioning to optimize self-organizing lists-on-lists.
Evol. Syst.
O. Ekaba Bisong, B. John Oommen
2020 J jnl
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton.
IEEE Trans. Neural Networks Learn. Syst.
Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo
2020 — conf
A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs.
AIAI (1)
Ibrahim Helmy, B. John Oommen
2020 — conf
Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans.
ICIAR (2)
Tahira Ghani, B. John Oommen
2020 — conf
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis.
Australasian Conference on Artificial Intelligence
Tahira Ghani, B. John Oommen
2020 J jnl
On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm.
Pattern Anal. Appl.
Abdolreza Shirvani, B. John Oommen
2020 — conf
Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning.
AIAI (1)
O. Ekaba Bisong, B. John Oommen
2020 J jnl
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
IEEE Trans. Neural Networks Learn. Syst.
Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen
2020 C conf
User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution.
IEA/AIE
Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, B. John Oommen
2019 — conf
Learning Automata-Based Solutions to the Multi-Elevator Problem.
ICIC (3)
Omar Ghaleb, B. John Oommen
2019 Misc conf
Learning Automata-Based Solutions to the Single Elevator Problem.
AIAI
Omar Ghaleb, B. John Oommen
2019 — conf
Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games.
Australasian Conference on Artificial Intelligence
Nicolas Perez, B. John Oommen
2019 C conf
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments.
IEA/AIE
Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
2019 J jnl
On utilizing weak estimators to achieve the online classification of data streams.
Eng. Appl. Artif. Intell.
Hanane Tavasoli, B. John Oommen, Anis Yazidi
2019 Misc conf
Optimizing Self-organizing Lists-on-Lists Using Enhanced Object Partitioning.
AIAI
O. Ekaba Bisong, B. John Oommen
2019 — conf
Optimizing Self-organizing Lists-on-Lists Using Pursuit-Oriented Enhanced Object Partitioning.
ICIC (3)
O. Ekaba Bisong, B. John Oommen
2019 C conf
The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data.
EANN
Abdolreza Shirvani, B. John Oommen
2019 Misc conf
The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data.
AIAI
Abdolreza Shirvani, B. John Oommen
2018 J jnl
A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids.
IEEE Access
Rajan Thapa, Lei Jiao, B. John Oommen, Anis Yazidi
2018 J jnl
Challenging state-of-the-art move ordering with Adaptive Data Structures.
Appl. Intell.
Spencer Polk, B. John Oommen
2018 J jnl
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm.
IEEE Access
Anis Yazidi, Hugo Hammer, B. John Oommen
2018 J jnl
Novel Distance Estimation Methods Using "Stochastic Learning on the Line" Strategies.
IEEE Access
Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
2018 J jnl
Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games.
Appl. Intell.
Spencer Polk, B. John Oommen
2018 Misc conf
On Addressing the Challenges of Complex Stochastic Games Using "Representative" Moves.
AIAI
Armando H. Taucer, Spencer Polk, B. John Oommen
2018 J jnl
On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata.
IEEE Access
Abdolreza Shirvani, B. John Oommen
2018 C conf
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods.
IEA/AIE
Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
2018 J jnl
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata.
J. Comput. Sci.
Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre M. Begnum
2018 J jnl
On enhancing the object migration automaton using the
J. Comput. Sci.
Abdolreza Shirvani, B. John Oommen
2018 J jnl
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm.
Int. J. Commun. Syst.
Ratish Mohan, Anis Yazidi, Boning Feng, B. John Oommen
2018 J jnl
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques.
Pattern Recognit.
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
2018 Misc conf
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions.
AIAI
Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen
2017 J jnl
"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids.
Inf. Sci.
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
2017 C conf
A Higher-Fidelity Frugal Quantile Estimator.
ADMA
Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
2017 J jnl
A novel abstraction for swarm intelligence: particle field optimization.
Auton. Agents Multi Agent Syst.
Nathan Bell, B. John Oommen
2017 J jnl
A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search.
Inf. Sci.
Anis Yazidi, B. John Oommen
2017 — conf
Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods.
CORES
Thomas McMahon, B. John Oommen
2017 C conf
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments.
ADMA
Anis Yazidi, B. John Oommen, Morten Goodwin
2017 — conf
Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions.
CORES
Anis Yazidi, B. John Oommen
2017 J jnl
Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information.
Eng. Appl. Artif. Intell.
B. John Oommen, Sang-Woon Kim
2017 J jnl
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments.
IEEE Trans. Cybern.
Anis Yazidi, B. John Oommen, Morten Goodwin
2017 B conf
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams.
CEC
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
2017 — conf
Partitioning in signal processing using the object migration automaton and the pursuit paradigm.
MLSP
Abdolreza Shirvani, B. John Oommen
2017 — conf
Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme.
SmartGIFT
Rajan Thapa, Lei Jiao, B. John Oommen, Anis Yazidi
2017 J jnl
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality.
Pattern Anal. Appl.
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2016 C conf
"Anti-Bayesian" Flat and Hierarchical Clustering Using Symmetric Quantiloids.
IEA/AIE
Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
2016 — conf
A Cluster Analysis of Stock Market Data Using Hierarchical SOMs.
Australasian Conference on Artificial Intelligence
César A. Astudillo, Jorge Poblete, Marina Resta, B. John Oommen
2016 J jnl
A formal proof of the 𝜀-optimality of discretized pursuit algorithms.
Appl. Intell.
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
2016 — conf
Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata.
NTMS
Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre M. Begnum
2016 C conf
Challenging Established Move Ordering Strategies with Adaptive Data Structures.
IEA/AIE
Spencer Polk, B. John Oommen
2016 — conf
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers.
Australasian Conference on Artificial Intelligence
César A. Astudillo, Javier I. González, B. John Oommen, Anis Yazidi
2016 — conf
Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm.
ICCNS
Ratish Mohan, Anis Yazidi, Boning Feng, B. John Oommen
2016 — conf
Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three.
ICIAR
B. John Oommen, Sang-Woon Kim
2016 J jnl
Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem.
IEEE Trans. Cybern.
Anis Yazidi, B. John Oommen
2016 J jnl
On Achieving History-Based Move Ordering in Adversarial Board Games Using Adaptive Data Structures.
Trans. Comput. Collect. Intell.
Spencer Polk, B. John Oommen
2016 — conf
On the Foundations of Multinomial Sequence Based Estimation.
ICCCI (1)
B. John Oommen, Sang-Woon Kim
2016 C conf
On the Online Classification of Data Streams Using Weak Estimators.
IEA/AIE
Hanane Tavasoli, B. John Oommen, Anis Yazidi
2016 J jnl
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach.
Appl. Intell.
Lei Jiao, Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2016 J jnl
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments.
Pattern Recognit.
Anis Yazidi, B. John Oommen, Geir Horn, Ole-Christoffer Granmo
2016 J jnl
Text Classification Using "Anti"-Bayesian Quantile Statistics-Based Classifiers.
Trans. Comput. Collect. Intell.
B. John Oommen, Richard Khoury, Aron Schmidt
2015 C conf
A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm.
IEA/AIE
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
2015 — conf
Enhancing History-Based Move Ordering in Game Playing Using Adaptive Data Structures.
ICCCI (1)
Spencer Polk, B. John Oommen
2015 C conf
Novel AI Strategies for Multi-Player Games at Intermediate Board States.
IEA/AIE
Spencer Polk, B. John Oommen
2015 — conf
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth.
WI-IAT (2)
Anis Yazidi, B. John Oommen, Morten Goodwin Olsen
2015 A conf
Particle Field Optimization: A New Paradigm for Swarm Intelligence.
AAMAS
Nathan Bell, B. John Oommen
2015 C conf
Pattern Recognition using the TTOCONROT.
IEA/AIE
César A. Astudillo, B. John Oommen
2015 J jnl
Pattern classification using a new border identification paradigm: The nearest border technique.
Neurocomputing
Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda
2015 J jnl
Self Organizing Maps Whose Topologies Can Be Learned With Adaptive Binary Search Trees Using Conditional Rotations.
CoRR
César A. Astudillo, B. John Oommen
2015 — conf
Solving Stochastic Root-Finding with adaptive d-ary search.
EAIS
Anis Yazidi, B. John Oommen
2015 — conf
Space and depth-related enhancements of the history-ADS strategy in game playing.
CIG
Spencer Polk, B. John Oommen
2015 — conf
Text Classification Using Novel "Anti-Bayesian" Techniques.
ICCCI (1)
B. John Oommen, Richard Khoury, Aron Schmidt
2014 J jnl
"Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family.
Pattern Recognit.
B. John Oommen, Anu Thomas
2014 — conf
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks.
IEA/AIE (2)
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2014 J jnl
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme.
IEEE Trans. Cybern.
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen
2014 J jnl
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
Appl. Intell.
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
2014 J jnl
Corrigendum to three papers that deal with "Anti"-Bayesian Pattern Recognition [Pattern Recognition].
Pattern Recognit.
Anu Thomas, B. John Oommen
2014 — conf
Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks.
ISCIS
Ke Qin, B. John Oommen
2014 B conf
Fast BMU Search in SOMs Using Random Hyperplane Trees.
PRICAI
César A. Astudillo, B. John Oommen
2014 J jnl
Logistic Neural Networks: Their chaotic and pattern recognition properties.
Neurocomputing
Qin Ke, B. John Oommen
2014 — conf
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling.
CSE
Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin
2014 J jnl
On the Existence and Heuristic Computation of the Solution for the Commons Game.
Trans. Comput. Collect. Intell.
Rokhsareh Sakhravi, Masoud T. Omran, B. John Oommen
2014 J jnl
Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations.
Pattern Recognit.
César A. Astudillo, B. John Oommen
2014 J jnl
Topology-oriented self-organizing maps: a survey.
Pattern Anal. Appl.
César A. Astudillo, B. John Oommen
2014 — conf
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms.
IEA/AIE (1)
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
2013 — conf
A New Paradigm for Pattern Classification: Nearest Border Techniques.
Australasian Conference on Artificial Intelligence
Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda
2013 — conf
A Novel Border Identification Algorithm Based on an "Anti-Bayesian" Paradigm.
CAIP (1)
Anu Thomas, B. John Oommen
2013 B conf
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach.
PIMRC
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, B. John Oommen
2013 — conf
Classification of Multi-dimensional Distributions Using Order Statistics Criteria.
CORES
Anu Thomas, B. John Oommen
2013 J jnl
Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties.
Trans. Comput. Collect. Intell.
Ke Qin, B. John Oommen
2013 J jnl
Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns.
IEEE Trans. Cybern.
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2013 J jnl
Modeling the "Learning Process" of the Teacher in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Cybern.
B. John Oommen, M. Khaled Hashem
2013 — conf
On Achieving Near-Optimal "Anti-Bayesian" Order Statistics-Based Classification for Asymmetric Exponential Distributions.
CAIP (1)
Anu Thomas, B. John Oommen
2013 — conf
On Applying Adaptive Data Structures to Multi-Player Game Playing.
SGAI Conf.
Spencer Polk, B. John Oommen
2013 — conf
On Enhancing Recent Multi-player Game Playing Strategies Using a Spectrum of Adaptive Data Structures.
TAAI
Spencer Polk, B. John Oommen
2013 C conf
On Using the Theory of Regular Functions to Prove the
IEA/AIE
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
2013 J jnl
On achieving semi-supervised pattern recognition by utilizing tree-based SOMs.
Pattern Recognit.
César A. Astudillo, B. John Oommen
2013 J jnl
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata.
Appl. Intell.
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2013 J jnl
On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases.
Pattern Anal. Appl.
B. John Oommen, Ebaa Fayyoumi
2013 J jnl
Order statistics-based parametric classification for multi-dimensional distributions.
Pattern Recognit.
Anu Thomas, B. John Oommen
2013 J jnl
The Use of Weak estimators to Achieve Language Detection and Tracking in Multilingual Documents.
Int. J. Pattern Recognit. Artif. Intell.
Aleksander Stensby, B. John Oommen, Ole-Christoffer Granmo
2013 J jnl
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria.
Pattern Recognit.
Anu Thomas, B. John Oommen
2013 — conf
Ultimate Order Statistics-Based Prototype Reduction Schemes.
Australasian Conference on Artificial Intelligence
Anu Thomas, B. John Oommen
2012 Misc conf
A Fast Heuristic Solution for the Commons Game.
DCAI
Rokhsareh Sakhravi, Masoud T. Omran, B. John Oommen
2012 C conf
A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem.
IEA/AIE
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen
2012 C conf
A Stochastic Search on the Line-Based Solution to Discretized Estimation.
IEA/AIE
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2012 Misc conf
A novel Stochastic Discretized Weak Estimator operating in non-stationary environments.
ICNC
Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo
2012 J jnl
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators.
J. Inf. Process. Syst.
B. John Oommen, Anis Yazidi, Ole-Christoffer Granmo
2012 C conf
Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning.
IEA/AIE
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2012 J jnl
Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior.
Simul.
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2012 J jnl
Modeling a Teacher in a Tutorial-like System Using Learning Automata.
Trans. Comput. Collect. Intell.
B. John Oommen, M. Khaled Hashem
2012 J jnl
On the Pattern Recognition and Classification of Stochastically Episodic Events.
Trans. Comput. Collect. Intell.
Colin Bellinger, B. John Oommen
2012 J jnl
On using prototype reduction schemes to optimize locally linear reconstruction methods.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2012 C conf
Optimal "Anti-Bayesian" Parametric Pattern Classification Using Order Statistics Criteria.
CIARP
Anu Thomas, B. John Oommen
2012 — conf
Optimal "Anti-Bayesian" Parametric Pattern Classification for the Exponential Family Using Order Statistics Criteria.
ICIAR (1)
Anu Thomas, B. John Oommen
2012 J jnl
Service selection in stochastic environments: a learning-automaton based solution.
Appl. Intell.
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2012 J jnl
The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network.
Intell. Decis. Technol.
Ke Qin, B. John Oommen
2011 — conf
A New Frontier in Novelty Detection: Pattern Recognition of Stochastically Episodic Events.
ACIIDS (1)
Colin Bellinger, B. John Oommen
2011 — conf
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes.
HAIS (1)
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2011 J jnl
A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments.
Wirel. Pers. Commun.
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Martin Gerdes, Frank Reichert
2011 J jnl
Anomaly Detection in Dynamic Systems Using Weak Estimators.
ACM Trans. Internet Techn.
Justin Zhan, B. John Oommen, Johanna Crisostomo
2011 C conf
Anomaly detection using weak estimators.
ISI
Justin Zhan, B. John Oommen, Johanna Crisostomo
2011 Misc conf
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems.
AIAI
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2011 J jnl
Imposing tree-based topologies onto self organizing maps.
Inf. Sci.
César A. Astudillo, B. John Oommen
2011 J jnl
Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem.
Eng. Appl. Artif. Intell.
Ole-Christoffer Granmo, B. John Oommen
2011 — conf
On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies.
PReMI
B. John Oommen
2011 — conf
On the analysis of a new Markov chain which has applications in AI and machine learning.
CCECE
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2011 — conf
Semi-Supervised Classification Using Tree-Based Self-Organizing Maps.
Australasian Conference on Artificial Intelligence
César A. Astudillo, B. John Oommen
2011 — conf
The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata.
IEA/AIE (2)
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2011 — conf
Tracking the Preferences of Users Using Weak Estimators.
Australasian Conference on Artificial Intelligence
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2011 — conf
Using Artificial Intelligence Techniques for Strategy Generation in the
HAIS (1)
Petro Verkhogliad, B. John Oommen
2010 — conf
A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors.
ICAART (1)
Thomas Norheim, Terje Brådland, Ole-Christoffer Granmo, B. John Oommen
2010 — conf
A Learning Automata Based Solution to Service Selection in Stochastic Environments.
IEA/AIE (3)
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2010 J jnl
A survey on statistical disclosure control and micro-aggregation techniques for secure statistical databases.
Softw. Pract. Exp.
Ebaa Fayyoumi, B. John Oommen
2010 J jnl
Fault-tolerant routing in adversarial mobile ad hoc networks: an efficient route estimation scheme for non-stationary environments.
Telecommun. Syst.
B. John Oommen, Sudip Misra
2010 — conf
Language Detection and Tracking in Multilingual Documents Using Weak Estimators.
SSPR/SPR
Aleksander Stensby, B. John Oommen, Ole-Christoffer Granmo
2010 B conf
Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.
PRICAI
Anis Yazidi, Ole-Christoffer Granmo, Min Lin, Xifeng Wen, B. John Oommen, Martin Gerdes, Frank Reichert
2010 J jnl
Modeling a Domain in a Tutorial-like System Using Learning Automata.
Acta Cybern.
B. John Oommen, M. Khaled Hashem
2010 J jnl
Modeling a Student's Behavior in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, M. Khaled Hashem
2010 J jnl
Modeling a Student-Classroom Interaction in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, M. Khaled Hashem
2010 J jnl
Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes.
Pattern Recognit.
Luis Rueda, B. John Oommen, Claudio Henríquez
2010 — conf
On Optimizing
Australasian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2010 J jnl
On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Ebaa Fayyoumi
2010 — conf
On simulating episodic events against a background of noise-like non-episodic events.
SummerSim
Colin Bellinger, B. John Oommen
2010 — conf
On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak.
ICAART (1)
Dragos Calitoiu, B. John Oommen
2010 J jnl
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem.
Appl. Intell.
Ole-Christoffer Granmo, B. John Oommen
2010 J jnl
Peptide classification using optimal and information theoretic syntactic modeling.
Pattern Recognit.
Eser Aygün, B. John Oommen, Zehra Cataltepe
2010 — conf
Potential AI Strategies to Solve the
Canadian AI
Petro Verkhogliad, B. John Oommen
2010 J jnl
Random Early Detection for Congestion Avoidance in Wired Networks: A Discretized Pursuit Learning-Automata-Like Solution.
IEEE Trans. Syst. Man Cybern. Part B
Sudip Misra, B. John Oommen, Sreekeerthy Yanamandra, Mohammad S. Obaidat
2010 J jnl
Solving Multiconstraint Assignment Problems Using Learning Automata.
IEEE Trans. Syst. Man Cybern. Part B
Geir Horn, B. John Oommen
2010 J jnl
Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata.
IEEE Trans. Computers
Ole-Christoffer Granmo, B. John Oommen
2009 C conf
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling.
IEA/AIE
Ole-Christoffer Granmo, B. John Oommen
2009 — ch.
A Novel Self Organizing Map Which Utilizes Imposed Tree-Based Topologies.
Computer Recognition Systems 3
César A. Astudillo, B. John Oommen
2009 J jnl
Achieving Microaggregation for Secure Statistical Databases Using Fixed-Structure Partitioning-Based Learning Automata.
IEEE Trans. Syst. Man Cybern. Part B
Ebaa Fayyoumi, B. John Oommen
2009 J jnl
Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology.
IEEE Trans. Neural Networks
Ke Qin, B. John Oommen
2009 C conf
An adaptive learning-like solution of random early detection for congestion avoidance in computer networks.
AICCSA
Sudip Misra, B. John Oommen, Sreekeerthy Yanamandra, Mohammad S. Obaidat
2009 J jnl
An efficient pursuit automata approach for estimating stable all-pairs shortest paths in stochastic network environments.
Int. J. Commun. Syst.
Sudip Misra, B. John Oommen
2009 — conf
Anomaly Detection in Dynamic Social Systems Using Weak Estimators.
CSE (4)
Justin Zhan, B. John Oommen, Johanna Crisostomo
2009 — ch.
Cybernetics and Learning Automata.
Handbook of Automation
B. John Oommen, Sudip Misra
2009 J jnl
Estimation of distributions involving unobservable events: the case of optimal search with unknown Target Distributions.
Pattern Anal. Appl.
Qingxin Zhu, B. John Oommen
2009 — conf
Learning Automata Based Intelligent Tutorial-
KES (1)
B. John Oommen, M. Khaled Hashem
2009 — ch.
Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems.
Intelligent Systems for Knowledge Management
Ole-Christoffer Granmo, B. John Oommen
2009 — conf
On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps.
Australasian Conference on Artificial Intelligence
César A. Astudillo, B. John Oommen
2009 — conf
On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification.
PRIB
Eser Aygün, B. John Oommen, Zehra Cataltepe
2009 J jnl
On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2008 — conf
A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes.
Canadian AI
Sang-Woon Kim, B. John Oommen
2008 C conf
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling.
IEA/AIE
Ole-Christoffer Granmo, B. John Oommen
2008 J jnl
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Sang-Woon Kim, M. T. Samuel, Ole-Christoffer Granmo
2008 — conf
An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-aggregation.
Australasian Conference on Artificial Intelligence
B. John Oommen, Ebaa Fayyoumi
2008 J jnl
An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees.
Int. J. Commun. Syst.
Luis Rueda, B. John Oommen
2008 — conf
Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network.
SSPR/SPR
Ke Qin, B. John Oommen
2008 C conf
Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction.
CIARP
Luis Rueda, Claudio Henríquez, B. John Oommen
2008 Misc conf
Enhancing Micro-Aggregation Technique by Utilizing Dependence-Based Information in Secure Statistical Databases.
ACISP
B. John Oommen, Ebaa Fayyoumi
2008 — conf
Large scale modeling of the piriform cortex for analyzing antiepileptic effects.
SpringSim
Dragos Calitoiu, Doron Nussbaum, B. John Oommen
2008 — conf
Modeling and simulating a disease outbreak by learning a contagion parameter-based model.
SpringSim
B. John Oommen, Dragos Calitoiu
2008 J jnl
On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis.
IEEE Trans. Syst. Man Cybern. Part B
Sang-Woon Kim, B. John Oommen
2008 J jnl
Spikes annihilation in the Hodgkin-Huxley neuron.
Biol. Cybern.
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 J jnl
A Novel Framework for Self-Organizing Lists in Environments with Locality of Reference: Lists-on-Lists.
Comput. J.
Abdelrahman Amer, B. John Oommen
2007 C conf
A Novel Method for Micro-Aggregation in Secure Statistical Databases Using Association and Interaction.
ICICS
B. John Oommen, Ebaa Fayyoumi
2007 — conf
Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
Canadian AI
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 J jnl
Breadth-first search strategies for trie-based syntactic pattern recognition.
Pattern Anal. Appl.
B. John Oommen, Ghada Hany Badr
2007 J jnl
Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception.
IEEE Trans. Syst. Man Cybern. Part B
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 J jnl
Goal-oriented optimal subset selection of correlated multimedia streams.
ACM Trans. Multim. Comput. Commun. Appl.
Pradeep K. Atrey, Mohan S. Kankanhalli, B. John Oommen
2007 J jnl
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation.
IEEE Trans. Syst. Man Cybern. Part B
Ole-Christoffer Granmo, B. John Oommen, Svein Arild Myrer, Morten Goodwin Olsen
2007 — conf
Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
BVAI
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 C conf
On Using Learning Automata to Model a Student's Behavior in a Tutorial-
IEA/AIE
M. Khaled Hashem, B. John Oommen
2007 — conf
On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems.
Australian Conference on Artificial Intelligence
Ole-Christoffer Granmo, B. John Oommen
2007 J jnl
On the estimation of independent binomial random variables using occurrence and sequential information.
Pattern Recognit.
B. John Oommen, Sang-Woon Kim, Geir Horn
2007 J jnl
On using prototype reduction schemes to optimize dissimilarity-based classification.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2007 J jnl
Periodicity and stability issues of a
Pattern Anal. Appl.
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 J jnl
Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach.
IEEE Trans. Computers
B. John Oommen, Sudip Misra, Ole-Christoffer Granmo
2007 — conf
Some Analysis on the Network of Bursting Neurons: Quantifying
Australian Conference on Artificial Intelligence
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 C conf
Stochastic Point Location in Non-stationary Environments and Its Applications.
IEA/AIE
B. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo
2007 — conf
The Pursuit Automaton Approach for Estimating All-Pairs Shortest Paths in Dynamically Changing Networks.
AINA Workshops (1)
Sudip Misra, B. John Oommen
2007 — conf
Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications.
CIG
B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen
2007 B conf
Using learning automata to model a student-classroom interaction in a tutorial-like system.
SMC
M. Khaled Hashem, B. John Oommen
2007 B conf
Using learning automata to model the behavior of a teacher in a tutorial-like system.
SMC
M. Khaled Hashem, B. John Oommen
2006 B conf
A Fault-Tolerant Routing Algorithm for Mobile Ad Hoc Networks Using a Stochastic Learning-Based Weak Estimation Procedure.
WiMob
B. John Oommen, Sudip Misra
2006 C conf
A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases.
Privacy in Statistical Databases
Ebaa Fayyoumi, B. John Oommen
2006 A* conf
A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering.
INFOCOM
B. John Oommen, Sudip Misra, Ole-Christoffer Granmo
2006 J jnl
A fast and efficient nearly-optimal adaptive Fano coding scheme.
Inf. Sci.
Luis Rueda, B. John Oommen
2006 J jnl
A novel look-ahead optimization strategy for trie-based approximate string matching.
Pattern Anal. Appl.
Ghada Badr, B. John Oommen
2006 B conf
An Application of a Game of Discrete Generalised Pursuit Automata to Solve a Multi-Constraint Partitioning Problem.
SMC
Geir Horn, B. John Oommen
2006 J jnl
An Efficient Dynamic Algorithm for Maintaining All-Pairs Shortest Paths in Stochastic Networks.
IEEE Trans. Computers
Sudip Misra, B. John Oommen
2006 — conf
Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games.
Australian Conference on Artificial Intelligence
B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen
2006 — conf
Lists on Lists: A Framework for Self-organizing Lists in Environments with Locality of Reference.
WEA
Abdelrahman Amer, B. John Oommen
2006 — conf
On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem.
Intelligent Information Systems
Ole-Christoffer Granmo, B. John Oommen
2006 — conf
On Enhancing Query Optimization in the Oracle Database System by Utilizing Attribute Cardinality Maps.
ICEIS (Selected Papers)
B. John Oommen, Jing Chen
2006 — conf
On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes.
ICIAR (1)
Sang-Woon Kim, B. John Oommen
2006 — conf
On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes.
SSPR/SPR
Sang-Woon Kim, B. John Oommen
2006 Misc conf
On Optimizing the
ACISP
Ebaa Fayyoumi, B. John Oommen
2006 — conf
On Utilizing Attribute Cardinality Maps to Enhance Query Optimization in the Oracle Database System.
ICEIS (1)
B. John Oommen, Jing Chen
2006 J jnl
On optimizing syntactic pattern recognition using tries and AI-based heuristic-search strategies.
IEEE Trans. Syst. Man Cybern. Part B
Ghada Badr, B. John Oommen
2006 — conf
On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables.
SSPR/SPR
B. John Oommen, Sang-Woon Kim, Geir Horn
2006 J jnl
Parameter learning from stochastic teachers and stochastic compulsive liars.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Govindachari Raghunath, Benjamin Kuipers
2006 J jnl
Prototype reduction schemes applicable for non-stationary data sets.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2006 J jnl
Stochastic Automata-Based Estimators for Adaptively Compressing Files With Nonstationary Distributions.
IEEE Trans. Syst. Man Cybern. Part B
Luis Rueda, B. John Oommen
2006 J jnl
Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments.
Pattern Recognit.
B. John Oommen, Luis Rueda
2006 — conf
The averaged mappings problem: statement, applications, and approximate solution.
ACM Southeast Regional Conference
Xavier Hilaire, B. John Oommen
2006 — conf
Turning Lights Out with DQ-Learning.
Artificial Intelligence and Applications
Denis V. Batalov, B. John Oommen
2005 A conf
A Fixed-Structure Learning Automaton Solution to the Stochastic Static Mapping Problem.
IPDPS
Geir Horn, B. John Oommen
2005 — conf
A Look-Ahead Branch and Bound Pruning Scheme for Trie-Based Approximate String Matching.
CORES
Ghada Badr, B. John Oommen
2005 J jnl
A formal analysis of why heuristic functions work.
Artif. Intell.
B. John Oommen, Luís G. Rueda
2005 J jnl
Dynamic algorithms for the shortest path routing problem: learning automata-based solutions.
IEEE Trans. Syst. Man Cybern. Part B
Sudip Misra, B. John Oommen
2005 — conf
Efficient Adaptive Data Compression Using Fano Binary Search Trees.
ISCIS
Luís G. Rueda, B. John Oommen
2005 — conf
Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies.
ICAPR (1)
Ghada Badr, B. John Oommen
2005 — conf
Modeling Inaccurate Perception: Desynchronization Issues of a
SCIA
Dragos Calitoiu, B. John Oommen, Dorin Nusbaumm
2005 — conf
Neural Network-Based
CORES
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2005 C conf
New Algorithms for Maintaining All-Pairs Shortest Paths.
ISCC
Sudip Misra, B. John Oommen
2005 J jnl
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Sang-Woon Kim, B. John Oommen
2005 J jnl
On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Sang-Woon Kim, B. John Oommen
2005 Misc conf
On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions.
KI
B. John Oommen, Luís G. Rueda
2005 — conf
On using conditional rotations and randomized heuristics for self-organizing ternary search tries.
ACM Southeast Regional Conference (1)
Ghada Badr, B. John Oommen
2005 J jnl
Self-Adjusting of Ternary Search Tries Using Conditional Rotations and Randomized Heuristics.
Comput. J.
Ghada Hany Badr, B. John Oommen
2005 — conf
Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets.
Australian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2004 — conf
A New Family of Weak Estimators for Training in Non-stationary Distributions.
SSPR/SPR
B. John Oommen, Luís G. Rueda
2004 J jnl
A formal approach to using data distributions for building causal polytree structures.
Inf. Sci.
M. Ouerd, B. John Oommen, Stan Matwin
2004 J jnl
A nearly-optimal Fano-based coding algorithm.
Inf. Process. Manag.
Luís G. Rueda, B. John Oommen
2004 A* conf
Adaptive Algorithms for Routing and Traffic Engineering in Stochastic Networks.
AAAI
Sudip Misra, B. John Oommen
2004 — conf
Deterministic Majority filters applied to stochastic sorting.
ACM Southeast Regional Conference
B. John Oommen, Jack R. Zgierski, Doron Nussbaum
2004 — conf
Dictionary-Based Syntactic Pattern Recognition Using Tries.
SSPR/SPR
B. John Oommen, Ghada Badr
2004 J jnl
Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets.
IEEE Trans. Syst. Man Cybern. Part B
Sang-Woon Kim, B. John Oommen
2004 J jnl
GPSPA: a new adaptive algorithm for maintaining shortest path routing trees in stochastic networks.
Int. J. Commun. Syst.
Sudip Misra, B. John Oommen
2004 C conf
Generalized pursuit learning algorithms for shortest path routing tree computation.
ISCC
Sudip Misra, B. John Oommen
2004 — conf
On Designing Pattern Classifiers Using Artificially Created Bootstrap Samples.
PRIS
Qun Wang, B. John Oommen
2004 — conf
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data.
ADVIS
Luís G. Rueda, B. John Oommen
2004 J jnl
On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2004 — conf
Recent Results on Learning from Stochastic Teachers and Compulsive Liars/Con-Men.
PRIS
B. John Oommen
2004 — conf
Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods.
Australian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2004 C conf
Stochastic Learning Automata-Based Dynamic Algorithms for the Single Source Shortest Path Problem.
IEA/AIE
Sudip Misra, B. John Oommen
2004 — conf
Stochastic Sorting Using Deterministic Consecutive and Leader Filters.
MSV/AMCS
B. John Oommen, Jack R. Zgierski, Doron Nussbaum
2003 J jnl
A Kohonen-like decomposition method for the Euclidean traveling salesman problem-KNIES_DECOMPOSE.
IEEE Trans. Neural Networks
Necati Aras, I. Kuban Altinel, B. John Oommen
2003 J jnl
A brief taxonomy and ranking of creative prototype reduction schemes.
Pattern Anal. Appl.
Sang-Woon Kim, B. John Oommen
2003 — conf
A new histogram method for sparse attributes: the averaged rectangular attribute cardinality map.
ISICT
B. John Oommen, Jing Chen
2003 — conf
A self-organizing method for map reconstruction.
NNSP
I. Kuban Altinel, Necati Aras, B. John Oommen
2003 J jnl
Benchmarking attribute cardinality maps for database systems using the TPC-D specifications.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Murali Thiyagarajah
2003 — conf
Classification Error-Rate Estimation Using New Pseudo-Sample Bootstrap Methods.
PRIS
Qun Wang, B. John Oommen
2003 Misc conf
Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.
AI
Ouerd Messaouda, B. John Oommen, Stan Matwin
2003 J jnl
Enhancing prototype reduction schemes with LVQ3-type algorithms.
Pattern Recognit.
Sang-Woon Kim, B. John Oommen
2003 — conf
On How to Learn from a Stochastic Teacher or a Stochastic Compulsive Liar of Unknown Identity.
Australian Conference on Artificial Intelligence
B. John Oommen, Govindachari Raghunath, Benjamin Kuipers
2003 — conf
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
Australian Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2003 J jnl
On optimal pairwise linear classifiers for normal distributions: the d-dimensional case.
Pattern Recognit.
Luís G. Rueda, B. John Oommen
2002 — conf
Creative prototype reduction schemes: a taxonomy and ranking.
SMC (2)
Sang-Woon Kim, B. John Oommen
2002 B conf
Data generation for testing DAG-structured Bayesian networks.
SMC
Ouerd Messaouda, B. John Oommen, Stan Matwin
2002 J jnl
Discretized learning automata solutions to the capacity assignment problem for prioritized networks.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, T. Dale Roberts
2002 J jnl
Enhanced layered segment trees: a pragmatic data structure for real-time processing of geometric objects.
Pattern Recognit.
Gopal Racherla, Sridhar Radhakrishnan, B. John Oommen
2002 J jnl
Generalized pursuit learning schemes: new families of continuous and discretized learning automata.
IEEE Trans. Syst. Man Cybern. Part B
M. Agache, B. John Oommen
2002 J jnl
On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case.
IEEE Trans. Pattern Anal. Mach. Intell.
Luís G. Rueda, B. John Oommen
2002 — conf
On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes.
PRIS
Sang-Woon Kim, B. John Oommen
2002 — conf
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes.
Australian Joint Conference on Artificial Intelligence
Sang-Woon Kim, B. John Oommen
2002 — conf
Recursive Prototype Reduction Schemes Applicable for Large Data Sets.
SSPR/SPR
Sang-Woon Kim, B. John Oommen
2002 J jnl
The Efficiency of Histogram-like Techniques for Database Query Optimization.
Comput. J.
B. John Oommen, Luís G. Rueda
2002 — conf
Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work.
PRIS
B. John Oommen, Luís G. Rueda
2001 — conf
A New Geometric Tool for Pattern Recognition - An Algorithm for Real Time Insertion of Layered Segment Trees.
ICAPR
Gopal Racherla, Sridhar Radhakrishnan, B. John Oommen
2001 J jnl
Continuous and discretized pursuit learning schemes: various algorithms and their comparison.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, M. Agache
2001 — conf
Distance Bias Adjustment Bootstrap Estimation for Bhattacharyya Error Bound in Classifiers.
PRIS
B. John Oommen, Qun Wang
2001 B conf
Enhanced static Fano coding.
SMC
Luís G. Rueda, B. John Oommen
2001 B conf
Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality.
DASFAA
B. John Oommen, Luís G. Rueda
2001 J jnl
On the Pattern Recognition of Noisy Subsequence Trees.
IEEE Trans. Pattern Anal. Mach. Intell.
B. John Oommen, R. K. S. Loke
2001 — conf
Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case.
Australian Joint Conference on Artificial Intelligence
Luís G. Rueda, B. John Oommen
2000 C conf
A Formalism for Building Causal Polytree Structures Using Data Distributions.
ISMIS
M. Ouerd, B. John Oommen, Stan Matwin
2000 A conf
A Kohonen-like Decomposition Method for the Traveling Salesman Problem: KNIES
ECAI
Necati Aras, I. Kuban Altinel, B. John Oommen
2000 — conf
An Empirical Comparison of Histogram-Like Techniques for Query Optimization.
ICEIS
B. John Oommen, Luis Rueda
2000 J jnl
Continuous Learning Automata Solutions to the Capacity Assignment Problem.
IEEE Trans. Computers
B. John Oommen, T. Dale Roberts
2000 J jnl
Fast, efficient and accurate solutions to the Hamiltonian path problem using neural approaches.
Comput. Oper. Res.
I. Kuban Altinel, Necati Aras, B. John Oommen
2000 C conf
Query Result Size Estimation Using the Trapezoidal Attribute Cardinality Map.
IDEAS
B. John Oommen, Murali Thiyagarajah
2000 — conf
The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers.
SSPR/SPR
Luis Rueda, B. John Oommen
1999 J jnl
Designing syntactic pattern classifiers using vector quantization and parametric string editing.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, R. K. S. Loke
1999 C conf
On Benchmarking Attribute Cardinality Maps for Database Systems Using the TPC-D Specification.
DEXA
Murali Thiyagarajah, B. John Oommen
1999 C conf
On Solving the Capacity Assignment Problem Using Continous Learning Automata.
IEA/AIE
B. John Oommen, T. Dale Roberts
1999 — conf
Prototype Validation of the Rectangular Attribute Cardinality Map for Query Optimization in Database Systems.
BIS
Murali Thiyagarajah, B. John Oommen
1999 — conf
Prototype Validation of the Trapezoidal Attribute Cardinality Map for Query Optimization in Database Systems.
ICEIS
Murali Thiyagarajah, B. John Oommen
1999 C conf
Query Result Size Estimation Using a Novel Histogram-like Technique: The Rectangular Attribute Cardinality Map.
IDEAS
B. John Oommen, Murali Thiyagarajah
1999 J jnl
The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem.
Neural Networks
Necati Aras, B. John Oommen, I. Kuban Altinel
1998 — conf
A Fast Efficient Solution to the Capacity Assignment Problem Using Discretized Learning Automata.
IEA/AIE (Vol. 2)
B. John Oommen, T. Dale Roberts
1998 J jnl
A formal theory for optimal and information theoretic syntactic pattern recognition.
Pattern Recognit.
B. John Oommen, Rangasami L. Kashyap
1998 J jnl
Automata learning and intelligent tertiary searching for stochastic point location.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Govindachari Raghunath
1998 J jnl
Discrete vector quantization for arbitrary distance function estimation.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, I. Kuban Altinel, Necati Aras
1998 — conf
The Noisy Subsequence Tree Recognition Problem.
SSPR/SPR
B. John Oommen, R. K. S. Loke
1997 — conf
Arbitrary distance function estimation using discrete vector quantization.
ICNN
B. John Oommen, I. Kuban Altmel, Necati Aras
1997 B conf
Generalized Swap-with-Parent Schemes for Self-Organizing Sequential Linear Lists.
ISAAC
B. John Oommen, Juan Dong
1997 J jnl
Moment-Preserving Piecewise Linear Approximations of Signals and Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Thai B. Nguyen, B. John Oommen
1997 — conf
On the Optimal Search Problem: The Case when the Target Distribution is Unknown.
SCCC
Qingxin Zhu, B. John Oommen
1997 J jnl
Pattern recognition of strings with substitutions, insertions, deletions and generalized transpositions.
Pattern Recognit.
B. John Oommen, Richard K. S. Loke
1997 J jnl
Stochastic searching on the line and its applications to parameter learning in nonlinear optimization.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen
1997 J jnl
String taxonomy using learning automata.
IEEE Trans. Syst. Man Cybern. Part B
B. John Oommen, Edward V. de St. Croix
1997 J jnl
Vector Quantization for Arbitrary Distance Function Estimation.
INFORMS J. Comput.
I. Kuban Altinel, B. John Oommen, Necati Aras
1996 J jnl
Graph Partitioning Using Learning Automata.
IEEE Trans. Computers
B. John Oommen, Edward V. de St. Croix
1996 J jnl
Numerical Similarity and Dissimilarity Measures Between Two Trees.
IEEE Trans. Computers
B. John Oommen, K. Zhang, William Lee
1996 — conf
Optimal and Information Theoretic Syntactic Pattern Recognition Involving Traditional and Transposition Errors.
FSTTCS
B. John Oommen, R. K. S. Loke
1996 B conf
Optimal and Information Theoretic Syntactic Pattern Recognition for Traditional Errors.
SSPR
B. John Oommen, Rangasami L. Kashyap
1996 B conf
Probabilistic syntactic pattern recognition for traditional and generalized transposition errors.
ICPR
B. John Oommen, Richard K. S. Loke
1996 J jnl
The Normalized String Editing Problem Revisited.
IEEE Trans. Pattern Anal. Mach. Intell.
B. John Oommen, K. Zhang
1995 — conf
Arbitrary distance function estimation using vector quantization.
ICNN
B. John Oommen, I. Kuban Altinel, Necati Aras
1995 J jnl
Mixture decomposition for distributions from the exponential family using a generalized method of moments.
IEEE Trans. Syst. Man Cybern.
S. T. Sum, B. John Oommen
1995 — conf
Noisy Subsequence Recognition Using Constrained String Editing Involving Substitutions, Insertions, Deletions and Generalized Transpositions.
ICSC
B. John Oommen, R. K. S. Loke
1995 B conf
On Using Learning Automata for Fast Graph Partitioning.
LATIN
B. John Oommen, Edward V. de St. Croix
1995 J jnl
String Alignment with Substitution, Insertion, Deletion, Squashing and Expansion Operations.
Inf. Sci.
B. John Oommen
1995 J jnl
Switching models for nonstationary random environments.
IEEE Trans. Syst. Man Cybern.
B. John Oommen, Hassan Masum
1994 J jnl
A New Technique for Enhancing Linked-List Data Retrieval: Reorganize Data Using Artificially synthesized Queries.
Comput. J.
B. John Oommen, David T. H. Ng
1994 J jnl
Constrained Tree Editing.
Inf. Sci.
B. John Oommen, William Lee
1994 J jnl
SEATER: An Object-Oriented Simulation Environment Using Learning Automata for Telephone Traffic Routing.
IEEE Trans. Syst. Man Cybern. Syst.
Jack R. Zgierski, B. John Oommen
1993 J jnl
Adaptive Structuring of Binary Search Trees Using Conditional Rotations.
IEEE Trans. Knowl. Data Eng.
Robert P. Cheetham, B. John Oommen, David T. H. Ng
1993 J jnl
Adaptive learning mechanisms for ordering actions using random races.
IEEE Trans. Syst. Man Cybern.
David T. H. Ng, B. John Oommen, E. R. Hansen
1993 J jnl
An Optimal Absorbing List Organization Strategy with Constant Memory Requirements.
Theor. Comput. Sci.
B. John Oommen, David T. H. Ng
1993 J jnl
Breaking Substitution Cyphers Using Stochastic Automata.
IEEE Trans. Pattern Anal. Mach. Intell.
B. John Oommen, Jack R. Zgierski
1993 J jnl
Determining stochastic dependence for normally distributed vectors using the chi-squared metric.
Pattern Recognit.
Radhakrishna S. Valiveti, B. John Oommen
1993 J jnl
Fast Learning Automaton-Based Image Examination and Retrieval.
Comput. J.
B. John Oommen, Chris Fothergill
1993 J jnl
Self-Organizing Doubly-Linked Lists.
J. Algorithms
Radhakrishna S. Valiveti, B. John Oommen
1993 J jnl
Transforming Ill-Conditioned Constrained Problems using Projections.
Comput. J.
B. John Oommen
1992 J jnl
A Short Note on Doubly-Linked List Reorganizing Heuristics.
Comput. J.
David T. H. Ng, B. John Oommen
1992 J jnl
Discretized estimator learning automata.
IEEE Trans. Syst. Man Cybern.
J. Kevin Lanctôt, B. John Oommen
1992 — ch.
Enhancing Data Retrieval using Artificially synthesized Queries.
Computer Science and Operations Research
B. John Oommen, David T. H. Ng
1992 J jnl
On the problem of multiple mobile robots cluttering a workspace.
Inf. Sci.
B. John Oommen, Irwin Reichstein
1992 J jnl
On using the chi-squared metric for determining stochastic dependence.
Pattern Recognit.
Radhakrishna S. Valiveti, B. John Oommen
1991 B conf
Adaptive Linear List Reorganization for a System Processing Set Queries.
FCT
Radhakrishna S. Valiveti, B. John Oommen, Jack R. Zgierski
1991 J jnl
An adaptive learning solution to the keyboard optimization problem.
IEEE Trans. Syst. Man Cybern.
B. John Oommen, Radhakrishna S. Valiveti, Jack R. Zgierski
1991 J jnl
Recognizing Sources of Random Strings.
IEEE Trans. Pattern Anal. Mach. Intell.
Radhakrishna S. Valiveti, B. John Oommen
1991 J jnl
Stochastic Automata Solutions to the Object Partitioning Problem.
Comput. J.
B. John Oommen, Daniel C. Y. Ma
1991 J jnl
Trajectory Planning of Robot Manipulators in Noisy Work Spaces Using Stochastic Automata.
Int. J. Robotics Res.
B. John Oommen, Nicte Andrade, S. Sitharama Iyengar
1990 — conf
A Fast Learning Automaton Solution to the Keyboard Optimization Problem.
IEA/AIE (Vol. 2)
B. John Oommen, Radhakrishna S. Valiveti, Jack R. Zgierski
1990 J jnl
Deterministic Optimal and Expedient Move-to-Rear List Organizing Strategies.
Theor. Comput. Sci.
B. John Oommen, E. R. Hansen, J. Ian Munro
1990 J jnl
Discretized pursuit learning automata.
IEEE Trans. Syst. Man Cybern.
B. John Oommen, J. Kevin Lanctôt
1990 J jnl
Epsilon-optimal stubborn learning mechanisms.
IEEE Trans. Syst. Man Cybern.
Jens Peter Reus Christensen, B. John Oommen
1990 J jnl
On Generating Random Permutations with Arbitrary Distributions.
Comput. J.
B. John Oommen, David T. H. Ng
1989 B conf
Epsilon-optimal discretized pursuit learning automata.
SMC
B. John Oommen, J. Kevin Lanctôt
1989 B conf
Generalizing Singly-Linked List Reorganizing Heuristics for Doubly-Linked Lists.
MFCS
David T. H. Ng, B. John Oommen
1989 — conf
On Generating Random Permutations with Arbitrary Distributions.
ACM Conference on Computer Science
B. John Oommen, David T. H. Ng
1989 B conf
On using distribution theory to prove the epsilon-optimality of stubborn learning mechanisms.
SMC
Jens Peter Reus Christensen, B. John Oommen
1989 — conf
Optimal Constant Space Move-to-Rear List Organization.
Optimal Algorithms
B. John Oommen, David T. H. Ng
1988 J jnl
Correction to "Recognition of Noisy Subsequences Using Constrained Edit Distances".
IEEE Trans. Pattern Anal. Mach. Intell.
B. John Oommen
1988 J jnl
Deterministic Learning Automata Solutions to the Equipartitioning Problem.
IEEE Trans. Computers
B. John Oommen, Daniel C. Y. Ma
1988 A conf
On Using Conditional Rotation Operations to Adaptively Structure Binary Search Trees.
ICDT
Robert P. Cheetham, B. John Oommen, David T. H. Ng
1988 J jnl
On terrain acquisition by a point robot amidst polyhedral obstacles.
IEEE J. Robotics Autom.
Nageswara S. V. Rao, S. Sitharama Iyengar, B. John Oommen, Rangasami L. Kashyap
1988 J jnl
ϵ-optimal discretized linear reward-penalty learning automata.
IEEE Trans. Syst. Man Cybern.
B. John Oommen, Jens Peter Reus Christensen
1987 J jnl
An Efficient Geometric Solution to the Minimum Spanning Circle Problem.
Oper. Res.
B. John Oommen
1987 J jnl
Ergodic Learning Automata Capable of Incorporating a Priori Information.
IEEE Trans. Syst. Man Cybern.
B. John Oommen
1987 A* conf
Fast Object Partitioning Using Stochastic Learning Automata.
SIGIR
B. John Oommen, Daniel C. Y. Ma
1987 J jnl
List Organizing Strategies Using Stochastic Move-to-Front and Stochastic Move-to-Rear Operations.
SIAM J. Comput.
B. John Oommen, E. R. Hansen
1987 J jnl
On the problem of translating an elliptic object through a workspace of elliptic obstacles.
Robotica
B. John Oommen, Irwin Reichstein
1987 J jnl
Recognition of Noisy Subsequences Using Constrained Edit Distances.
IEEE Trans. Pattern Anal. Mach. Intell.
B. John Oommen
1987 J jnl
Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case.
IEEE J. Robotics Autom.
B. John Oommen, S. Sitharama Iyengar, Nageswara S. V. Rao, Rangasami L. Kashyap
1986 J jnl
A Learning Automaton Solution to the Stochastic Minimum-Spanning Circle Problem.
IEEE Trans. Syst. Man Cybern.
B. John Oommen
1986 J jnl
Absorbing and Ergodic Discretized Two-Action Learning Automata.
IEEE Trans. Syst. Man Cybern.
B. John Oommen
1986 J jnl
Constrained string editing.
Inf. Sci.
B. John Oommen
1986 A conf
Expedient Stochastic Move-to-Front and optimal Move-to-Rear List Organizing Strategies.
ICDT
B. John Oommen, E. R. Hansen
1986 A* conf
On translating ellipses amidst elliptic obstacles.
ICRA
B. John Oommen, Irwin Reichstein
1986 A* conf
Robot Navigation in Unknown Terrains of Convex Polygonal Obstacles Using Learned Visibility Graphs.
AAAI
B. John Oommen, S. Sitharama Iyengar, Nageswara S. V. Rao, Rangasami L. Kashyap
1985 J jnl
Multiaction learning automata possessing ergodicity of the mean.
Inf. Sci.
B. John Oommen, M. A. L. Thathachar
1985 — conf
On the Futility of Arbitrarily Increasing Memory Capabilities of Stochastic Learning Automata.
CAIA
B. John Oommen
1984 B conf
Algorithms for String Editing which Permit Arbitrarily Complex Editing Constraints.
MFCS
B. John Oommen
1984 J jnl
Spelling correction using probabilistic methods.
Pattern Recognit. Lett.
Rangasami L. Kashyap, B. John Oommen
1984 J jnl
The asymptotic optimality of discretized linear reward-inaction learning automata.
IEEE Trans. Syst. Man Cybern.
B. John Oommen, E. R. Hansen
1983 J jnl
Learning automata processing ergodicity of the mean: The two-action case.
IEEE Trans. Syst. Man Cybern.
M. A. L. Thathachar, B. John Oommen
1983 J jnl
Scale Preserving Smoothing of Polygons.
IEEE Trans. Pattern Anal. Mach. Intell.
Rangasami L. Kashyap, B. John Oommen
1983 J jnl
The Noisy Substring Matching Problem.
IEEE Trans. Software Eng.
Rangasami L. Kashyap, B. John Oommen
1982 J jnl
A Geometrical Approach to Polygonal Dissimilarity and Shape Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Rangasami L. Kashyap, B. John Oommen
1981 J jnl
An effective algorithm for string correction using generalized edit distance - II. Computational complexity of the algorithm and some applications.
Inf. Sci.
Rangasami L. Kashyap, B. John Oommen
1981 J jnl
An effective algorithm for string correction using generalized edit distances--I. Description of the algorithm and its optimality.
Inf. Sci.
Rangasami L. Kashyap, B. John Oommen