| 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 | 86 | 2007 |
| 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 | 67 | 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 | 50 | 2007 |
| Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata. OC Granmo, BJ Oommen IEEE, 2010 | 43 | 2010 |
| Service selection in stochastic environments: a learning-automaton based solution A Yazidi, OC Granmo, BJ Oommen Applied Intelligence 36 (3), 617-637, 2012 | 31 | 2012 |
| 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 | 31 | 2003 |
| Solving the Satisfiability Problem Using Finite Learning Automata. OC Granmo, N Bouhmala IJCSA 4 (3), 15-29, 2007 | 29 | 2007 |
| Crowd models for emergency evacuation: A review targeting human-centered sensing J Radianti, OC Granmo, N Bouhmala, P Sarshar, A Yazidi, J Gonzalez System Sciences (HICSS), 2013 46th Hawaii International Conference on, 156-165, 2013 | 27 | 2013 |
| 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 |
| 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 | 26 | 2010 |
| 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 | 25 | 2012 |
| 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 | 23 | 2014 |
| Thompson sampling for dynamic multi-armed bandits N Gupta, OC Granmo, A Agrawala 2011 10th International Conference on Machine Learning and Applications …, 2011 | 22 | 2011 |
| A Bayesian learning automaton for solving two-armed Bernoulli bandit problems OC Granmo 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 21 | 2008 |
| A user-centric approach for personalized service provisioning in pervasive environments A Yazidi, OC Granmo, BJ Oommen, M Gerdes, F Reichert Wireless Personal Communications 61 (3), 543-566, 2011 | 20 | 2011 |
| Learning-automaton-based online discovery and tracking of spatiotemporal event patterns A Yazidi, OC Granmo, BJ Oommen IEEE transactions on cybernetics 43 (3), 1118-1130, 2013 | 18 | 2013 |
| Using stochastic AI techniques to achieve unbounded resolution in finite player Goore Games and its applications BJ Oommen, OC Granmo, A Pedersen Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on, 161-167, 2007 | 18 | 2007 |
| Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support J Radianti, JJ Gonzalez, OC Granmo Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 …, 2014 | 17 | 2014 |
| Scalable independent multi-level distribution in multimedia content analysis VSW Eide, F Eliassen, OC Granmo, O Lysne International Workshop on Interactive Distributed Multimedia Systems and …, 2002 | 17 | 2002 |
| 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 | 16 | 2013 |
Morten GoodwinAssociate Professor, Computer Science, University of AgderVerified email at uia.no