| The regression Tsetlin machine: a novel approach to interpretable nonlinear regression K Darshana Abeyrathna, OC Granmo, X Zhang, L Jiao, M Goodwin Philosophical Transactions of the Royal Society A 378 (2164), 20190165, 2020 | 59 | 2020 |
| On the Convergence of Tsetlin Machines for the IDENTITY-and NOT Operators X Zhang, L Jiao, OC Granmo, M Goodwin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6345 …, 2021 | 39 | 2021 |
| On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata X Zhang, OC Granmo, BJ Oommen Applied intelligence 39, 782-792, 2013 | 37 | 2013 |
| A scheme for continuous input to the Tsetlin machine with applications to forecasting disease outbreaks KD Abeyrathna, OC Granmo, X Zhang, M Goodwin Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019 | 29 | 2019 |
| On the convergence of tsetlin machines for the XOR operator L Jiao, X Zhang, OC Granmo, KD Abeyrathna IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6072-6085, 2022 | 28 | 2022 |
| LCC-Rwgh: A NLOS error mitigation algorithm for localization in wireless sensor network L Jiao, J Xing, X Zhang, J Zhang, C Zhao 2007 IEEE international conference on control and automation, 1354-1359, 2007 | 26 | 2007 |
| Discretized Bayesian pursuit–a new scheme for reinforcement learning X Zhang, OC Granmo, BJ Oommen Advanced Research in Applied Artificial Intelligence: 25th International …, 2012 | 21 | 2012 |
| The hierarchical continuous pursuit learning automation: a novel scheme for environments with large numbers of actions A Yazidi, X Zhang, L Jiao, BJ Oommen IEEE transactions on neural networks and learning systems 31 (2), 512-526, 2019 | 20 | 2019 |
| Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach L Jiao, X Zhang, BJ Oommen, OC Granmo Applied Intelligence 44, 307-321, 2016 | 18 | 2016 |
| A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions X Zhang, OC Granmo, BJ Oommen, L Jiao Applied intelligence 41, 974-985, 2014 | 17 | 2014 |
| The Bayesian pursuit algorithm: a new family of estimator learning automata X Zhang, OC Granmo, BJ Oommen Modern Approaches in Applied Intelligence: 24th International Conference on …, 2011 | 17 | 2011 |
| 一种非视距环境下具有鲁棒特性 TOA 无线传感网络定位算法 焦磊， 邢建平， 张军， 张璇， 赵朝丽 传感技术学报 20 (7), 1625-1629, 2007 | 15 | 2007 |
| A conclusive analysis of the finite-time behavior of the discretized pursuit learning automaton X Zhang, L Jiao, BJ Oommen, OC Granmo IEEE transactions on neural networks and learning systems 31 (1), 284-294, 2019 | 14 | 2019 |
| Channel selection in cognitive radio networks: A switchable Bayesian learning automata approach X Zhang, L Jiao, OC Granmo, BJ Oommen 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and …, 2013 | 12 | 2013 |
| A formal proof of the 𝜖-optimality of discretized pursuit algorithms X Zhang, BJ Oommen, OC Granmo, L Jiao Applied Intelligence 44 (2), 282-294, 2016 | 11 | 2016 |
| A robust wireless sensor network localization algorithm in NLOS environment J Xing, J Zhang, L Jiao, X Zhang, C Zhao 2007 IEEE International Conference on Control and Automation, 3244-3249, 2007 | 11 | 2007 |
| The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality X Zhang, BJ Oommen, OC Granmo Pattern Analysis and Applications 20 (3), 797-808, 2017 | 10 | 2017 |
| On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton X Zhang, OC Granmo, BJ Oommen, L Jiao Recent Trends in Applied Artificial Intelligence: 26th International …, 2013 | 9 | 2013 |
| Building concise logical patterns by constraining tsetlin machine clause size KD Abeyrathna, AAO Abouzeid, B Bhattarai, C Giri, S Glimsdal, ... arXiv preprint arXiv:2301.08190, 2023 | 7 | 2023 |
| A Bayesian learning automata-based distributed channel selection scheme for cognitive radio networks L Jiao, X Zhang, OC Granmo, BJ Oommen Modern Advances in Applied Intelligence: 27th International Conference on …, 2014 | 7 | 2014 |
