| 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 | 122 | 2017 |
| 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 | 102 | 2007 |
| Relative evaluation of regression tools for urban area electrical energy demand forecasting NJ Johannesen, M Kolhe, M Goodwin Journal of cleaner production 218, 555-564, 2019 | 85 | 2019 |
| Benchmarking e-government-a comparative review of three international benchmarking studies L Berntzen, MG Olsen 2009 Third International Conference on Digital Society, 77-82, 2009 | 85 | 2009 |
| Global web accessibility analysis of national government portals and ministry web sites M Goodwin, D Susar, A Nietzio, M Snaprud, CS Jensen Journal of Information Technology & Politics 8 (1), 41-67, 2011 | 82 | 2011 |
| 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 | 48 | 2018 |
| 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 | 44 | 2019 |
| Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. J Sharma, OC Granmo, M Goodwin Interspeech, 1186-1190, 2020 | 43 | 2020 |
| 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 | 38 | 2019 |
| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 36 | 2019 |
| 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 | 33 | 2015 |
| 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 | 33 | 2014 |
| 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 | 31 | 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 | 29 | 2021 |
| A pattern recognition approach for peak prediction of electrical consumption M Goodwin, A Yazidi Integrated computer-aided engineering 23 (2), 101-113, 2016 | 28 | 2016 |
| Temperate fish detection and classification: a deep learning based approach KM Knausgård, A Wiklund, TK Sørdalen, KT Halvorsen, AR Kleiven, ... Applied Intelligence 52 (6), 6988-7001, 2022 | 27 | 2022 |
| 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 | 24 | 2020 |
| A scheme for continuous input to the Tsetlin machine with applications to forecasting disease outbreaks KD Abeyrathna, OC Granmo, X Zhang, M Goodwin International conference on industrial, engineering and other applications …, 2019 | 22* | 2019 |
| Predicting source code quality with static analysis and machine learning V Barstad, M Goodwin, T Gjøsæter Norsk IKT-konferanse for forskning og utdanning, 2014 | 22 | 2014 |
Ole-Christoffer GranmoProfessor University of AgderVerified email at uia.no
