Matteo Gagliolo

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Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
Daan WierstraPrincipal Scientist, DeepMindVerified email at google.com
Faustino GomezCEO NNAISENSE SA. Former Senior Researcher, IDSIA, SwitzerlandVerified email at idsia.ch
Nowe AnnGewoon hoogleraarVerified email at vub.be
Abdel RodriguezAddiva ABVerified email at addiva.se
Dirk JacobsUniversité Libre de BruxellesVerified email at ulb.be
Kevin Van VaerenberghSirrisVerified email at sirris.be
Julian StoevLeuven, BelgiumVerified email at snu.ac.kr
Phalet KarenhoogleraarVerified email at kuleuven.be
Geeske ScholzDelft University of TechnologyVerified email at uos.de
Julia EberlenUniversité libre de BruxellesVerified email at ulb.be
Peter VrancxPrincipal Researcher at IMECVerified email at imec.be
Mauro BirattariF.R.S.–FNRS Research Director, IRIDIA, Université libre de BruxellesVerified email at ulb.ac.be
Tom LenaertsProfessor Computer Science, Université Libre de BruxellesVerified email at ulb.be
Catherine LegrandUCLouvain, LIDAM, ISBAVerified email at uclouvain.be
Marco DorigoFNRS Research Director, IRIDIA, Université Libre de BruxellesVerified email at ulb.ac.be
Arne BrutschyPhD Student, IRIDIA, Université Libre de BruxellesVerified email at ulb.ac.be
Giacomo SolanoRadboud UniversityVerified email at ru.nl
Abhishek DuttaUniversity of ConnecticutVerified email at cam.ac.uk
Jan SweversProfessor of Mechanical Engineering, KU Leuven, BelgiumVerified email at kuleuven.be

Matteo Gagliolo

Associate Professor. GERME, Institute of Sociology, Université libre de Bruxelles, Brussels, Belgium

Verified email at ulb.ac.be - Homepage

Computational Social Sciences Social Networks Complex Systems Evolutionary Game Theory Machine Learning


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Training recurrent networks by evolino J Schmidhuber, D Wierstra, M Gagliolo, F Gomez Neural computation 19 (3), 757-779, 2007	334	2007
Learning dynamic algorithm portfolios M Gagliolo, J Schmidhuber Annals of Mathematics and Artificial Intelligence 47 (3), 295-328, 2006	143	2006
Simulate this! An introduction to agent-based models and their power to improve your research practice J Eberlen, G Scholz, M Gagliolo International Review of Social Psychology 30 (1), 149-160, 2017	78	2017
Dynamic algorithm portfolios M Gagliolo, J Schmidhuber Annals of Mathematics and Artificial Intelligence 47, 3--4, 2006	68	2006
Algorithm selection as a bandit problem with unbounded losses M Gagliolo, J Schmidhuber International conference on learning and intelligent optimization, 82-96, 2010	52	2010
Learning Restart Strategies. M Gagliolo, J Schmidhuber IJCAI, 792-797, 2007	52	2007
Algorithm portfolio selection as a bandit problem with unbounded losses M Gagliolo, J Schmidhuber Annals of Mathematics and Artificial Intelligence 61, 49-86, 2011	40	2011
Adaptive online time allocation to search algorithms M Gagliolo, V Zhumatiy, J Schmidhuber Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004	34	2004
A neural network model for inter-problem adaptive online time allocation M Gagliolo, J Schmidhuber International Conference on Artificial Neural Networks, 7-12, 2005	33	2005
Evolino for recurrent support vector machines J Schmidhuber, M Gagliolo, D Wierstra, F Gomez arXiv preprint cs/0512062, 2005	31	2005
Improving wet clutch engagement with reinforcement learning K Van Vaerenbergh, A Rodríguez, M Gagliolo, P Vrancx, A Nowé, J Stoev, ... The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012	29	2012
Task partitioning in a robot swarm: a study on the effect of communication G Pini, M Gagliolo, A Brutschy, M Dorigo, M Birattari Swarm Intelligence 7, 173-199, 2013	26	2013
Learning strategies for wet clutch control G Pinte, J Stoev, W Symens, A Dutta, Y Zhong, B Wyns, R De Keyser, ... 15th International Conference on System Theory, Control and Computing, 438-445, 2011	18	2011
Impact of censored sampling on the performance of restart strategies M Gagliolo, J Schmidhuber Principles and Practice of Constraint Programming-CP 2006: 12th …, 2006	18	2006
Algorithm survival analysis M Gagliolo, C Legrand Experimental methods for the analysis of optimization algorithms, 161-184, 2010	16	2010
Universal search M Gagliolo Scholarpedia 2 (11), 2575, 2007	15	2007
Policy search reinforcement learning for automatic wet clutch engagement M Gagliolo, K Van Vaerenbergh, A Rodríguez, A Nowé, S Goossens, ... 15th international conference on system theory, control and computing, 1-6, 2011	13	2011
Towards distributed algorithm portfolios M Gagliolo, J Schmidhuber International Symposium on Distributed Computing and Artificial Intelligence …, 2008	12	2008
Transnationalism and belonging: The case of Moroccan entrepreneurs in Amsterdam and Milan R Vacca, G Solano, D Jacobs, M Gagliolo Social Inclusion 8 (1), 300-313, 2020	11	2020
Bias-optimal incremental learning of control sequences for virtual robots J Schmidhuber, V Zhumatiy, M Gagliolo Proceedings 180, 658-665, 2004	8	2004

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