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 | 189 | 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 | 124 | 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 | 118 | 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 | 109 | 2007 |
Thompson sampling for dynamic multi-armed bandits N Gupta, OC Granmo, A Agrawala 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 91 | 2011 |
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 | 74 | 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 | 72 | 2021 |
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 | 68 | 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 | 63 | 2018 |
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 | 61 | 2019 |
The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 58 | 2019 |
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 | 58 | 2010 |
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 | 54 | 2007 |
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 | 52 | 2020 |
Service selection in stochastic environments: a learning-automaton based solution A Yazidi, OC Granmo, BJ Oommen Applied Intelligence 36 (3), 617-637, 2012 | 51 | 2012 |
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 | 49 | 2020 |
Solving non-stationary bandit problems by random sampling from sibling kalman filters OC Granmo, S Berg Trends in Applied Intelligent Systems: 23rd International Conference on …, 2010 | 48 | 2010 |
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 | 47 | 2013 |
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 | 42 | 2020 |
Escape planning in realistic fire scenarios with Ant Colony Optimisation M Goodwin, OC Granmo, J Radianti Applied Intelligence 42, 24-35, 2015 | 41 | 2015 |