Régis Sabbadin

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Nathalie PeyrardINRAEVerified email at inra.fr
Didier Duboischercheur au CNRSVerified email at irit.fr
Henri PradeCNRS, France and University of New South WalesVerified email at TheMagicLab.org
helene fargiercnrsVerified email at irit.fr
Marie-Josee CrosINRAEVerified email at inrae.fr
iadine ChadèsProfessor Monash UniversityVerified email at monash.edu
Frédérick GarciaINRA Research Director (DR1), MIAT (INRA), TMBI (Univ. Toulouse)Verified email at toulouse.inra.fr
Nahla Ben amorInstitut Supérieur de Gestion TunisVerified email at gmx.fr
Bonneau MathieuPhD in applied Mathematics, French National Institute of Agronomic Research - French West IndiesVerified email at inra.fr
Etienne AuclairInraVerified email at toulouse.inra.fr
Jerome Langsenior researcher at CNRSVerified email at lamsade.dauphine.fr
Eve McDonald-MaddenSchool of Earth and Environmental Science, University of QueenslandVerified email at uq.edu.au
Nicklas ForsellIIASAVerified email at iiasa.ac.at
Xavier ReboudINRAE, UMR AgroécologieVerified email at dijon.inra.fr
Sam NicolCSIRO EnvironmentVerified email at csiro.au
Daniel Le BerreCRIL-CNRS Université d'ArtoisVerified email at cril.fr
Guillaume ChapronResearcher, Swedish University of Agricultural SciencesVerified email at slu.se
Peter BaxterUniversity of QueenslandVerified email at uq.edu.au
Edward T GameLead Scientist & Director of Conservation, The Nature ConservancyVerified email at tnc.org
Ralph Mac NallyHonorary Professorial Fellow, The University of MelbourneVerified email at unimelb.edu.au

Régis Sabbadin

Research Scientist, in Computer Science, INRAE, France

Verified email at inrae.fr

artificial Intelligence ecology biodiversity conservation operations research and management sciencel


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Decision-theoretic foundations of qualitative possibility theory D Dubois, H Prade, R Sabbadin European Journal of Operational Research 128 (3), 459-478, 2001	362	2001
The use of the discrete Sugeno integral in decision-making: A survery D Dubois, JL Marichal, H Prade, M Roubens, R Sabbadin International journal of uncertainty, fuzziness and knowledge-based systems …, 2001	188	2001
MDPtoolbox: a multi‐platform toolbox to solve stochastic dynamic programming problems I Chadès, G Chapron, MJ Cros, F Garcia, R Sabbadin Ecography 37 (9), 916-920, 2014	185	2014
Using food-web theory to conserve ecosystems E McDonald-Madden, R Sabbadin, ET Game, PWJ Baxter, I Chades, ... Nature communications 7 (1), 10245, 2016	146	2016
Qualitative decision theory with Sugeno integrals D Dubois, H Prade, R Sabbadin arXiv preprint arXiv:1301.7372, 2013	146	2013
Learning ecological networks from next-generation sequencing data C Vacher, A Tamaddoni-Nezhad, S Kamenova, N Peyrard, Y Moalic, ... Advances in ecological research 54, 1-39, 2016	125	2016
MOMDPs: a solution for modelling adaptive management problems I Chades, J Carwardine, T Martin, S Nicol, R Sabbadin, O Buffet Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 267-273, 2012	99	2012
Qualitative decision under uncertainty: back to expected utility H Fargier, R Sabbadin Artificial Intelligence 164 (1-2), 245-280, 2005	97	2005
Towards qualitative approaches to multi-stage decision making R Sabbadin, H Fargier, J Lang International Journal of Approximate Reasoning 19 (3-4), 441-471, 1998	89	1998
There's no harm in having too much: a comprehensive toolbox of methods in trophic ecology N Majdi, N Hette-Tronquart, E Auclair, A Bec, T Chouvelon, B Cognie, ... Food webs 17, e00100, 2018	72	2018
Modelling interaction networks for enhanced ecosystem services in agroecosystems P Tixier, N Peyrard, JN Aubertot, S Gaba, J Radoszycki, G Caron-Lormier, ... Advances in ecological research 49, 437-480, 2013	65	2013
Using possibilistic logic for modeling qualitative decision: ATMS-based algorithms D Dubois, DL Berre, H Prade, R Sabbadin Fundamenta Informaticae 37 (1-2), 1-30, 1999	65	1999
Possibilistic Markov decision processes R Sabbadin Engineering Applications of Artificial Intelligence 14 (3), 287-300, 2001	55	2001
A possibilistic model for qualitative sequential decision problems under uncertainty in partially observable environments R Sabbadin arXiv preprint arXiv:1301.6736, 2013	53	2013
Markov decision processes (MDP) toolbox I Chadès, MJ Cros, F Garcia, R Sabbadin URL http://www. inra. fr/mia/T/MDPtoolbox 42, 2009	53*	2009
Reinforcement learning for crop management support: Review, prospects and challenges R Gautron, OA Maillard, P Preux, M Corbeels, R Sabbadin Computers and Electronics in Agriculture 200, 107182, 2022	51	2022
A framework and a mean-field algorithm for the local control of spatial processes R Sabbadin, N Peyrard, N Forsell International Journal of Approximate Reasoning 53 (1), 66-86, 2012	46	2012
Management of the risk of wind damage in forestry: a graph-based Markov decision process approach N Forsell, P Wikström, F Garcia, R Sabbadin, K Blennow, LO Eriksson Annals of Operations Research 190, 57-74, 2011	42	2011
A possibilistic logic machinery for qualitative decision D Dubois, H Prade, R Sabbadin AAAI Spring Symposium on Qualitative Preferences in Deliberation and …, 1997	42	1997
Dynamics of weeds in the soil seed bank: a hidden Markov model to estimate life history traits from standing plant time series B Borgy, X Reboud, N Peyrard, R Sabbadin, S Gaba PloS one 10 (10), e0139278, 2015	41	2015

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