| 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 | 101 | 2007 |
| Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton OC Granmo International Journal of Intelligent Computing and Cybernetics, 2010 | 90 | 2010 |
| 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 | 74 | 2017 |
| Thompson sampling for dynamic multi-armed bandits N Gupta, OC Granmo, A Agrawala 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 54 | 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 | 54 | 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 | 52 | 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 | 46 | 2018 |
| Service selection in stochastic environments: a learning-automaton based solution A Yazidi, OC Granmo, BJ Oommen Applied Intelligence 36 (3), 617-637, 2012 | 43 | 2012 |
| 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 | 41 | 2013 |
| 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 | 41 | 2010 |
| 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 | 33 | 2019 |
| Solving the Satisfiability Problem Using Finite Learning Automata. OC Granmo, N Bouhmala IJCSA 4 (3), 15-29, 2007 | 33 | 2007 |
| Supporting timeliness and accuracy in distributed real-time content-based video analysis VS Wold Eide, F Eliassen, OC Granmo, O Lysne Proceedings of the eleventh ACM international conference on Multimedia, 21-32, 2003 | 33 | 2003 |
| 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 | 32 | 2018 |
| 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 | 30 | 2015 |
| A Bayesian learning automaton for solving two-armed Bernoulli bandit problems OC Granmo 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 30 | 2008 |
| A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme A Yazidi, OC Granmo, BJ Oommen, M Goodwin IEEE transactions on cybernetics 44 (11), 2202-2220, 2014 | 29 | 2014 |
| 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 (4), 782-792, 2013 | 28 | 2013 |
| An adaptive approach to learning the preferences of users in a social network using weak estimators BJ Oommen, A Yazidi, OC Granmo Journal of Information Processing Systems 8 (2), 191-212, 2012 | 27 | 2012 |
| Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore game OC Granmo, S Glimsdal Applied intelligence 38 (4), 479-488, 2013 | 26 | 2013 |
Morten GoodwinProfessor, Centre for Artificial Intelligence Research, University of AgderVerified email at uia.no
