| 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 | 256 | 2017 |
| 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 | 191 | 2019 |
| 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 | 152 | 2022 |
| 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 | 114 | 2007 |
| 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 | 102 | 2011 |
| 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 | 92 | 2021 |
| 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 | 91 | 2020 |
| 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 | 91 | 2009 |
| 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 | 87 | 2019 |
| 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 | 86 | 2019 |
| 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 | 82 | 2020 |
| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 82 | 2019 |
| Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook M Goodwin, KT Halvorsen, L Jiao, KM Knausgård, AH Martin, M Moyano, ... ICES Journal of Marine Science 79 (2), 319-336, 2022 | 75 | 2022 |
| 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 | 73 | 2018 |
| 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 | 65 | 2020 |
| The role of artificial intelligence in social media big data analytics for disaster management-initial results of a systematic literature review V Nunavath, M Goodwin 2018 5th International Conference on information and communication …, 2018 | 55 | 2018 |
| Positionless aspect based sentiment analysis using attention mechanism RK Yadav, L Jiao, M Goodwin, OC Granmo Knowledge-Based Systems 226, 107136, 2021 | 51 | 2021 |
| Extending the tsetlin machine with integer-weighted clauses for increased interpretability KD Abeyrathna, OC Granmo, M Goodwin IEEE Access 9, 8233-8248, 2021 | 47 | 2021 |
| Escape planning in realistic fire scenarios with Ant Colony Optimisation M Goodwin, OC Granmo, J Radianti Applied Intelligence 42, 24-35, 2015 | 47 | 2015 |
| Massively parallel and asynchronous tsetlin machine architecture supporting almost constant-time scaling KD Abeyrathna, B Bhattarai, M Goodwin, SR Gorji, OC Granmo, L Jiao, ... International Conference on Machine Learning, 10-20, 2021 | 44 | 2021 |
Ole-Christoffer GranmoProfessor University of AgderVerified email at uia.no
