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Ole-Christoffer Granmo
Ole-Christoffer Granmo
Professor University of Agder
Verifisert e-postadresse på uia.no - Startside
Tittel
Sitert av
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År
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
2782017
The Tsetlin Machine--A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
OC Granmo
arXiv preprint arXiv:1804.01508, 2018
1862018
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
1312010
Thompson sampling for dynamic multi-armed bandits
N Gupta, OC Granmo, A Agrawala
2011 10th International Conference on Machine Learning and Applications and …, 2011
1212011
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
1142007
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
1022021
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
1022020
The convolutional Tsetlin machine
OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge
arXiv preprint arXiv:1905.09688, 2019
972019
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
952020
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
952019
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
942019
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
822018
Learning automata based energy-efficient AI hardware design for IoT applications
A Wheeldon, R Shafik, T Rahman, J Lei, A Yakovlev, OC Granmo
Philosophical transactions of the royal society a 378 (2182), 20190593, 2020
752020
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
742020
Solving stochastic nonlinear resource allocation problems using a hierarchy of twofold resource allocation automata
OC Granmo, BJ Oommen
IEEE Transactions on Computers 59 (4), 545-560, 2010
622010
Explainable tsetlin machine framework for fake news detection with credibility score assessment
B Bhattarai, OC Granmo, L Jiao
arXiv preprint arXiv:2105.09114, 2021
582021
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
572021
Positionless aspect based sentiment analysis using attention mechanism
RK Yadav, L Jiao, M Goodwin, OC Granmo
Knowledge-Based Systems 226, 107136, 2021
562021
Crowd models for emergency evacuation: A review targeting human-centered sensing
J Radianti, OC Granmo, N Bouhmala, P Sarshar, A Yazidi, J Gonzalez
2013 46th Hawaii international conference on system sciences, 156-165, 2013
562013
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
552007
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Artikler 1–20