| Deep convolutional neural networks for fire detection in images J Sharma, OC Granmo, M Goodwin, JT Fidje International conference on engineering applications of neural networks, 183-193, 2017 | 143 | 2017 |
| Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton OC Granmo International Journal of Intelligent Computing and Cybernetics, 2010 | 113 | 2010 |
| 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 | 103 | 2007 |
| The Tsetlin Machine--A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic OC Granmo arXiv preprint arXiv:1804.01508, 2018 | 88 | 2018 |
| Thompson sampling for dynamic multi-armed bandits N Gupta, OC Granmo, A Agrawala 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 79 | 2011 |
| 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 | 57 | 2010 |
| 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 | 56 | 2018 |
| Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. J Sharma, OC Granmo, M Goodwin Interspeech, 1186-1190, 2020 | 55 | 2020 |
| 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 | 54 | 2019 |
| 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 | 52 | 2007 |
| 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 | 48 | 2021 |
| Service selection in stochastic environments: a learning-automaton based solution A Yazidi, OC Granmo, BJ Oommen Applied Intelligence 36 (3), 617-637, 2012 | 47 | 2012 |
| Solving non-stationary bandit problems by random sampling from sibling kalman filters OC Granmo, S Berg International Conference on Industrial, Engineering and Other Applications …, 2010 | 47 | 2010 |
| 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 | 46 | 2019 |
| 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 | 44 | 2013 |
| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 43 | 2019 |
| 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 | 38 | 2020 |
| A Bayesian learning automaton for solving two-armed Bernoulli bandit problems OC Granmo 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 38 | 2008 |
| A spatio-temporal probabilistic model of hazard-and crowd dynamics for evacuation planning in disasters J Radianti, OC Granmo, P Sarshar, M Goodwin, J Dugdale, JJ Gonzalez Applied Intelligence 42 (1), 3-23, 2015 | 36 | 2015 |
| Escape planning in realistic fire scenarios with Ant Colony Optimisation M Goodwin, OC Granmo, J Radianti Applied Intelligence 42 (1), 24-35, 2015 | 34 | 2015 |
Morten GoodwinProfessor, Centre for Artificial Intelligence Research, University of AgderVerified email at uia.no
