| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 82 | 2019 |
| Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game OC Granmo, S Glimsdal Applied Intelligence, 1-10, 2012 | 33 | 2012 |
| Coalesced multi-output tsetlin machines with clause sharing S Glimsdal, OC Granmo arXiv preprint arXiv:2108.07594, 2021 | 25 | 2021 |
| Ant colony optimisation for planning safe escape routes M Goodwin, OC Granmo, J Radianti, P Sarshar, S Glimsdal Recent Trends in Applied Artificial Intelligence: 26th International …, 2013 | 25 | 2013 |
| Increasing the inference and learning speed of Tsetlin machines with clause indexing S Rahimi Gorji, OC Granmo, S Glimsdal, J Edwards, M Goodwin Trends in Artificial Intelligence Theory and Applications. Artificial …, 2020 | 13 | 2020 |
| Building concise logical patterns by constraining Tsetlin Machine clause size KD Abeyrathna, AAO Abouzeid, B Bhattarai, C Giri, S Glimsdal, ... arXiv preprint arXiv:2301.08190, 2023 | 10 | 2023 |
| A spatio-temporal probabilistic model of hazard and crowd dynamics in disasters for evacuation planning OC Granmo, J Radianti, M Goodwin, J Dugdale, P Sarshar, S Glimsdal, ... Recent Trends in Applied Artificial Intelligence: 26th International …, 2013 | 8 | 2013 |
| Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation. S Glimsdal, OC Granmo MAICS, 43-50, 2013 | 7 | 2013 |
| A novel bayesian network based scheme for finding the optimal solution to stochastic online equi-partitioning problems S Glimsdal, OC Granmo 2014 13th international conference on machine learning and applications, 594-599, 2014 | 6 | 2014 |
| The Convolutional Tsetlin Machine. arXiv 2019 OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 0 | 5 | |
| AIs for Dominion Using Monte-Carlo Tree Search S Glimsdal Current Approaches in Applied Artificial Intelligence: 28th International …, 2015 | 4 | 2015 |
| AIs for Dominion Using Monte-Carlo Tree Search R Tollisen, JV Jansen, M Goodwin, S Glimsdal Current Approaches in Applied Artificial Intelligence: 28th International …, 2015 | 4 | 2015 |
| A two-armed bandit based scheme for accelerated decentralized learning OC Granmo, S Glimsdal Modern Approaches in Applied Intelligence: 24th International Conference on …, 2011 | 3 | 2011 |
| The Sparse Tsetlin Machine: Sparse Representation with Active Literals S Østby, TM Brambo, S Glimsdal arXiv preprint arXiv:2405.02375, 2024 | 2 | 2024 |
| Focused Negative Sampling for Increased Discriminative Power in Tsetlin Machines S Glimsdal, R Saha, B Bhattarai, C Giri, J Sharma, SA Tunheim, ... 2022 International Symposium on the Tsetlin Machine (ISTM), 73-80, 2022 | 2 | 2022 |
| Thompson sampling based active learning in probabilistic programs with application to travel time estimation S Glimsdal, OC Granmo Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019 | 2 | 2019 |
| Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems S Glimsdal, OC Granmo Journal of Machine Learning Research 20 (52), 1-24, 2019 | 2 | 2019 |
| A bayesian network based solution scheme for the constrained stochastic on-line equi-partitioning problem S Glimsdal, OC Granmo Applied Intelligence 48, 3735-3747, 2018 | 2 | 2018 |
| Thompson sampling guided stochastic searching on the line for adversarial learning S Glimsdal, OC Granmo Artificial Intelligence Applications and Innovations: 11th IFIP WG 12.5 …, 2015 | 2 | 2015 |
| Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms J Sharma, BV Matheussen, S Glimsdal, OC Granmo 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 1 | 2019 |
