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A survey on filter techniques for feature selection in gene expression microarray analysis
C Lazar, J Taminau, S Meganck, D Steenhoff, A Coletta, C Molter, ...
IEEE/ACM transactions on computational biology and bioinformatics 9 (4†…, 2012
6142012
Batch effect removal methods for microarray gene expression data integration: a survey
C Lazar, S Meganck, J Taminau, D Steenhoff, A Coletta, C Molter, ...
Briefings in bioinformatics 14 (4), 469-490, 2013
3282013
NRGcoin: Virtual currency for trading of renewable energy in smart grids
M Mihaylov, S Jurado, N Avellana, K Van Moffaert, IM de Abril, A Nowť
11th International conference on the European energy market (EEM14), 1-6, 2014
2962014
Multi-objective reinforcement learning using sets of pareto dominating policies
K Van Moffaert, A Nowť
The Journal of Machine Learning Research 15 (1), 3483-3512, 2014
2932014
Reinforcement learning from demonstration through shaping
T Brys, A Harutyunyan, HB Suay, S Chernova, ME Taylor, A Nowť
Twenty-fourth international joint conference on artificial intelligence, 2015
2572015
Game theory and multi-agent reinforcement learning
A Nowť, P Vrancx, YM De Hauwere
Reinforcement Learning: State-of-the-Art, 441-470, 2012
2542012
Scalarized multi-objective reinforcement learning: Novel design techniques
K Van Moffaert, MM Drugan, A Nowť
2013 IEEE symposium on adaptive dynamic programming and reinforcement†…, 2013
2312013
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages
J Taminau, S Meganck, C Lazar, D Steenhoff, A Coletta, C Molter, ...
BMC bioinformatics 13 (1), 1-9, 2012
1542012
Designing multi-objective multi-armed bandits algorithms: A study
MM Drugan, A Nowe
The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013
1392013
A practical guide to multi-objective reinforcement learning and planning
CF Hayes, R Rădulescu, E Bargiacchi, J KšllstrŲm, M Macfarlane, ...
Autonomous Agents and Multi-Agent Systems 36 (1), 26, 2022
1372022
Evolutionary game theory and multi-agent reinforcement learning
K Tuyls, A Nowť
The Knowledge Engineering Review 20 (1), 63-90, 2005
1362005
Dynamic weights in multi-objective deep reinforcement learning
A Abels, D Roijers, T Lenaerts, A Nowť, D Steckelmacher
International conference on machine learning, 11-20, 2019
1092019
Multi-objective multi-agent decision making: a utility-based analysis and survey
R Rădulescu, P Mannion, DM Roijers, A Nowť
Autonomous Agents and Multi-Agent Systems 34 (1), 10, 2020
1082020
Expressing arbitrary reward functions as potential-based advice
A Harutyunyan, S Devlin, P Vrancx, A Nowť
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
1032015
Two-step particle swarm optimization to solve the feature selection problem
R Bello, Y Gomez, A Nowe, MM Garcia
Seventh international conference on intelligent systems design and†…, 2007
972007
Policy Transfer using Reward Shaping.
T Brys, A Harutyunyan, ME Taylor, A Nowť
AAMAS, 181-188, 2015
962015
Decentralized learning in markov games
P Vrancx, K Verbeeck, A Nowť
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38†…, 2008
932008
Predicting disease-causing variant combinations
S Papadimitriou, A Gazzo, N Versbraegen, C Nachtegael, J Aerts, ...
Proceedings of the National Academy of Sciences 116 (24), 11878-11887, 2019
922019
Nrg-x-change-a novel mechanism for trading of renewable energy in smart grids
M Mihaylov, S Jurado, K Van Moffaert, N Avellana, A Nowť
International Conference on Smart Grids and Green IT Systems 2, 101-106, 2014
922014
Distilling deep reinforcement learning policies in soft decision trees
Y Coppens, K Efthymiadis, T Lenaerts, A Nowť, T Miller, R Weber, ...
Proceedings of the IJCAI 2019 workshop on explainable artificial†…, 2019
912019
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Articles 1–20