| Deep convolutional neural networks for fire detection in images J Sharma, OC Granmo, M Goodwin, JT Fidje Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 276 | 2017 |
| The Tsetlin Machine--A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic OC Granmo arXiv preprint arXiv:1804.01508, 2018 | 179 | 2018 |
| Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton OC Granmo International Journal of Intelligent Computing and Cybernetics 3 (2), 207-234, 2010 | 130 | 2010 |
| Thompson sampling for dynamic multi-armed bandits N Gupta, OC Granmo, A Agrawala 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 120 | 2011 |
| Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation OC Granmo, BJ Oommen, SA Myrer, MG Olsen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 114 | 2007 |
| Environment sound classification using multiple feature channels and attention based deep convolutional neural network J Sharma, OC Granmo, M Goodwin International Speech Communication Association, 2020 | 101 | 2020 |
| Human-level interpretable learning for aspect-based sentiment analysis RK Yadav, L Jiao, OC Granmo, M Goodwin Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14203 …, 2021 | 97 | 2021 |
| Deep Q-learning with Q-matrix transfer learning for novel fire evacuation environment J Sharma, PA Andersen, OC Granmo, M Goodwin IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (12), 7363-7381, 2020 | 93 | 2020 |
| Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation J Sharma, C Giri, OC Granmo, M Goodwin EURASIP Journal on Information Security 2019 (1), 1-16, 2019 | 93 | 2019 |
| Using the Tsetlin machine to learn human-interpretable rules for high-accuracy text categorization with medical applications GT Berge, OC Granmo, TO Tveit, M Goodwin, L Jiao, BV Matheussen IEEE Access 7, 115134-115146, 2019 | 91 | 2019 |
| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 91 | 2019 |
| Deep RTS: a game environment for deep reinforcement learning in real-time strategy games PA Andersen, M Goodwin, OC Granmo 2018 IEEE conference on computational intelligence and games (CIG), 1-8, 2018 | 81 | 2018 |
| Learning automata based energy-efficient AI hardware design for IoT applications A Wheeldon, R Shafik, T Rahman, J Lei, A Yakovlev, OC Granmo Philosophical transactions of the royal society a 378 (2182), 20190593, 2020 | 71 | 2020 |
| 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 | 69 | 2020 |
| Solving stochastic nonlinear resource allocation problems using a hierarchy of twofold resource allocation automata OC Granmo, BJ Oommen IEEE Transactions on Computers 59 (4), 545-560, 2010 | 61 | 2010 |
| Positionless aspect based sentiment analysis using attention mechanism RK Yadav, L Jiao, M Goodwin, OC Granmo Knowledge-Based Systems 226, 107136, 2021 | 56 | 2021 |
| Explainable tsetlin machine framework for fake news detection with credibility score assessment B Bhattarai, OC Granmo, L Jiao arXiv preprint arXiv:2105.09114, 2021 | 55 | 2021 |
| Routing Bandwidth-Guaranteed paths in MPLS traffic engineering: A multiple race track learning approach BJ Oommen, S Misra, OC Granmo IEEE Transactions on Computers 56 (7), 959-976, 2007 | 55 | 2007 |
| Crowd models for emergency evacuation: A review targeting human-centered sensing J Radianti, OC Granmo, N Bouhmala, P Sarshar, A Yazidi, J Gonzalez 2013 46th Hawaii international conference on system sciences, 156-165, 2013 | 54 | 2013 |
| Extending the tsetlin machine with integer-weighted clauses for increased interpretability KD Abeyrathna, OC Granmo, M Goodwin IEEE Access 9, 8233-8248, 2021 | 52 | 2021 |
Morten GoodwinProfessor, Centre for Artificial Intelligence Research, University of AgderVerified email at uia.no