B. John Oommen

ORCID

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 78

Top Venues

IEA/AIE

Pattern Anal. Appl.

AIAI

IEEE Trans. Neural Networks Learn. Syst.

Publications

Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Anis Yazidi, Daniel Silvestre, B. John Oommen
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
B. John Oommen, Rebekka Olsson Omslandseter, Lei Jiao
Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes. Pattern Anal. Appl. 26 (2) (2023)
Ismail Hassan, B. John Oommen, Anis Yazidi
Adaptive learning with artificial barriers yielding Nash equilibria in general games. Knowl. Eng. Rev. 38 (2023)
B. John Oommen, Rebekka Olsson Omslandseter, Lei Jiao
The object migration automata: its field, scope, applications, and future research challenges. Pattern Anal. Appl. 26 (3) (2023)
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
the actions. Inf. Sci. 647 (2023)
Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, B. John Oommen
User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution. Pattern Anal. Appl. 26 (1) (2023)
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach. AI (2022)
B. John Oommen, Xuan Zhang, Lei Jiao
A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results. Honoring Professor Mohammad S. Obaidat (2022)
Ismail Hassan, B. John Oommen, Anis Yazidi
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information. FLAIRS (2022)
Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. AI (2022)
Ismail Hassan, Anis Yazidi, B. John Oommen
Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in General Games. CoRR (2022)
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes. IEA/AIE (2) (2021)
O. Ekaba Bisong, B. John Oommen
On utilizing the transitivity pursuit-enhanced object partitioning to optimize self-organizing lists-on-lists. Evol. Syst. 12 (3) (2021)
Fatemeh Mahmoudi, Mostafa Razmkhah, B. John Oommen
Nonparametric "anti-Bayesian" quantile-based pattern classification. Pattern Anal. Appl. 24 (1) (2021)
Anis Yazidi, Ismail Hassan, Hugo Lewi Hammer, B. John Oommen
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Rebekka Olsson Omslandseter, Lei Jiao, B. John Oommen
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes. AIAI (2021)
Tahira Ghani, B. John Oommen
On utilizing 2D features from 3D scans to enhance the prediction of lung cancer survival rates. Pattern Recognit. Lett. 152 (2021)
Omar Ghaleb, B. John Oommen
On solving single elevator-like problems using a learning automata-based paradigm. Evol. Syst. 12 (1) (2021)
O. Ekaba Bisong, B. John Oommen
On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists. Evol. Syst. 12 (1) (2021)
I. Helmy, B. John Oommen
A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs. AIAI (1) (2020)
Abdolreza Shirvani, B. John Oommen
On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm. Pattern Anal. Appl. 23 (2) (2020)
Tahira Ghani, B. John Oommen
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis. Australasian Conference on Artificial Intelligence (2020)
Tahira Ghani, B. John Oommen
Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans. ICIAR (2) (2020)
Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, B. John Oommen
User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution. IEA/AIE (2020)
O. Ekaba Bisong, B. John Oommen
Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning. AIAI (1) (2020)
Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Abdolreza Shirvani, B. John Oommen
The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data. EANN (2019)
Nicolas Perez, B. John Oommen
Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games. Australasian Conference on Artificial Intelligence (2019)
Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments. IEA/AIE (2019)
Abdolreza Shirvani, B. John Oommen
The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data. AIAI (2019)
O. Ekaba Bisong, B. John Oommen
Optimizing Self-organizing Lists-on-Lists Using Enhanced Object Partitioning. AIAI (2019)
Omar Ghaleb, B. John Oommen
Learning Automata-Based Solutions to the Single Elevator Problem. AIAI (2019)
Omar Ghaleb, B. John Oommen
Learning Automata-Based Solutions to the Multi-Elevator Problem. ICIC (3) (2019)
O. Ekaba Bisong, B. John Oommen
Optimizing Self-organizing Lists-on-Lists Using Pursuit-Oriented Enhanced Object Partitioning. ICIC (3) (2019)
Hanane Tavasoli, B. John Oommen, Anis Yazidi
On utilizing weak estimators to achieve the online classification of data streams. Eng. Appl. Artif. Intell. 86 (2019)
Armando H. Taucer, Spencer Polk, B. John Oommen
On Addressing the Challenges of Complex Stochastic Games Using "Representative" Moves. AIAI (2018)
Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods. IEA/AIE (2018)
Abdolreza Shirvani, B. John Oommen
On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata. IEEE Access 6 (2018)
Rajan Thapa, Lei Jiao, B. John Oommen, Anis Yazidi
A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids. IEEE Access 6 (2018)
Spencer Polk, B. John Oommen
Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games. Appl. Intell. 48 (8) (2018)
Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions. AIAI (2018)
Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre M. Begnum
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata. J. Comput. Sci. 24 (2018)
Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
Novel Distance Estimation Methods Using "Stochastic Learning on the Line" Strategies. IEEE Access 6 (2018)
Ratish Mohan, Anis Yazidi, Boning Feng, B. John Oommen
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm. Int. J. Commun. Syst. 31 (15) (2018)
Spencer Polk, B. John Oommen
Challenging state-of-the-art move ordering with Adaptive Data Structures. Appl. Intell. 48 (5) (2018)
Abdolreza Shirvani, B. John Oommen
paradigm. J. Comput. Sci. 24 (2018)
Anis Yazidi, Hugo Hammer, B. John Oommen
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm. IEEE Access 6 (2018)
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques. Pattern Recognit. 76 (2018)
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality. Pattern Anal. Appl. 20 (3) (2017)
Nathan Bell, B. John Oommen
A novel abstraction for swarm intelligence: particle field optimization. Auton. Agents Multi Agent Syst. 31 (2) (2017)
Anis Yazidi, B. John Oommen, Morten Goodwin
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments. IEEE Trans. Cybern. 47 (7) (2017)
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids. Inf. Sci. 418 (2017)
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams. CEC (2017)
Abdolreza Shirvani, B. John Oommen
Partitioning in signal processing using the object migration automaton and the pursuit paradigm. MLSP (2017)
B. John Oommen, Sang-Woon Kim
Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information. Eng. Appl. Artif. Intell. 63 (2017)
Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
A Higher-Fidelity Frugal Quantile Estimator. ADMA (2017)
Rajan Thapa, Lei Jiao, B. John Oommen, Anis Yazidi
Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme. SmartGIFT (2017)
Anis Yazidi, B. John Oommen
Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions. CORES (2017)
Anis Yazidi, B. John Oommen
A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search. Inf. Sci. 393 (2017)
Thomas McMahon, B. John Oommen
Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods. CORES (2017)
Anis Yazidi, B. John Oommen, Morten Goodwin
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. ADMA (2017)
Hanane Tavasoli, B. John Oommen, Anis Yazidi
On the Online Classification of Data Streams Using Weak Estimators. IEA/AIE (2016)
B. John Oommen, Sang-Woon Kim
On the Foundations of Multinomial Sequence Based Estimation. ICCCI (1) (2016)
César A. Astudillo, Javier I. González, B. John Oommen, Anis Yazidi
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers. Australasian Conference on Artificial Intelligence (2016)
Ratish Mohan, Anis Yazidi, Boning Feng, B. John Oommen
Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm. ICCNS (2016)
Anis Yazidi, B. John Oommen
Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem. IEEE Trans. Cybern. 46 (12) (2016)
Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre M. Begnum
Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata. NTMS (2016)
Spencer Polk, B. John Oommen
Challenging Established Move Ordering Strategies with Adaptive Data Structures. IEA/AIE (2016)
Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
"Anti-Bayesian" Flat and Hierarchical Clustering Using Symmetric Quantiloids. IEA/AIE (2016)
Lei Jiao, Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. Appl. Intell. 44 (2) (2016)
Spencer Polk, B. John Oommen
On Achieving History-Based Move Ordering in Adversarial Board Games Using Adaptive Data Structures. Trans. Comput. Collect. Intell. 22 (2016)
B. John Oommen, Sang-Woon Kim
Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three. ICIAR (2016)
César A. Astudillo, Jorge Poblete, Marina Resta, B. John Oommen
A Cluster Analysis of Stock Market Data Using Hierarchical SOMs. Australasian Conference on Artificial Intelligence (2016)
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
A formal proof of the 𝜀-optimality of discretized pursuit algorithms. Appl. Intell. 44 (2) (2016)
B. John Oommen, Richard Khoury, Aron Schmidt
Text Classification Using "Anti"-Bayesian Quantile Statistics-Based Classifiers. Trans. Comput. Collect. Intell. 25 (2016)
Anis Yazidi, B. John Oommen, Geir Horn, Ole-Christoffer Granmo
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments. Pattern Recognit. 60 (2016)
Spencer Polk, B. John Oommen
Novel AI Strategies for Multi-Player Games at Intermediate Board States. IEA/AIE (2015)
Nathan Bell, B. John Oommen
Particle Field Optimization: A New Paradigm for Swarm Intelligence. AAMAS (2015)
Spencer Polk, B. John Oommen
Enhancing History-Based Move Ordering in Game Playing Using Adaptive Data Structures. ICCCI (1) (2015)
Anis Yazidi, B. John Oommen
Solving Stochastic Root-Finding with adaptive d-ary search. EAIS (2015)
B. John Oommen, Richard Khoury, Aron Schmidt
Text Classification Using Novel "Anti-Bayesian" Techniques. ICCCI (1) (2015)
Anis Yazidi, B. John Oommen, Morten Goodwin Olsen
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. WI-IAT (2) (2015)
Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm. IEA/AIE (2015)
César A. Astudillo, B. John Oommen
Self Organizing Maps Whose Topologies Can Be Learned With Adaptive Binary Search Trees Using Conditional Rotations. CoRR (2015)
César A. Astudillo, B. John Oommen
Pattern Recognition using the TTOCONROT. IEA/AIE (2015)
Spencer Polk, B. John Oommen
Space and depth-related enhancements of the history-ADS strategy in game playing. CIG (2015)
Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda
Pattern classification using a new border identification paradigm: The nearest border technique. Neurocomputing 157 (2015)
Rokhsareh Sakhravi, Masoud T. Omran, B. John Oommen
On the Existence and Heuristic Computation of the Solution for the Commons Game. Trans. Comput. Collect. Intell. 14 (2014)
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. Appl. Intell. 41 (3) (2014)
B. John Oommen, Anu Thomas
"Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family. Pattern Recognit. 47 (1) (2014)
Ke Qin, B. John Oommen
Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks. ISCIS (2014)
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks. IEA/AIE (2) (2014)
Anu Thomas, B. John Oommen
Corrigendum to three papers that deal with "Anti"-Bayesian Pattern Recognition [Pattern Recognition]. Pattern Recognit. 47 (6) (2014)
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms. IEA/AIE (1) (2014)
César A. Astudillo, B. John Oommen
Fast BMU Search in SOMs Using Random Hyperplane Trees. PRICAI (2014)
Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. IEEE Trans. Cybern. 44 (11) (2014)
Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. CSE (2014)
César A. Astudillo, B. John Oommen
Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations. Pattern Recognit. 47 (1) (2014)

B. John Oommen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

B. John Oommen