Morten Goodwin
Morten Goodwin
Professor, Centre for Artificial Intelligence Research, University of Agder
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
The convolutional Tsetlin machine
OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge
arXiv preprint arXiv:1905.09688, 2019
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
Escape planning in realistic fire scenarios with Ant Colony Optimisation
M Goodwin, OC Granmo, J Radianti
Applied Intelligence 42 (1), 24-35, 2015
A pattern recognition approach for peak prediction of electrical consumption
M Goodwin, A Yazidi
Integrated computer-aided engineering 23 (2), 101-113, 2016
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network.
J Sharma, OC Granmo, M Goodwin
INTERSPEECH, 1186-1190, 2020
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, 2020
Deep learning for social media analysis in crises situations
MB Lazreg, M Goodwin, OC Granmo
The 29th Annual Workshop of the Swedish Artificial Intelligence Society …, 2016
Predicting source code quality with static analysis and machine learning
V Barstad, M Goodwin, T Gjøsæter
Norsk IKT-konferanse for forskning og utdanning, 2014
Ant colony optimisation for planning safe escape routes
M Goodwin, OC Granmo, J Radianti, P Sarshar, S Glimsdal
International Conference on Industrial, Engineering and Other Applications …, 2013
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
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
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