Luis Martí

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Nayat Sanchez-PiDirector of the Inria Research Center in Chile/ CEO of Inria ChileVerified email at inria.fr
Ana Cristina Bicharra GarciaProfessor, Universidade Federal do Estado do Rio de JaneiroVerified email at uniriotec.br
Antonio BerlangaAssociate ProfessorVerified email at ia.uc3m.es
Jesus Garcia HerreroUniversidad Carlos III de MadridVerified email at inf.uc3m.es
Carlos A. Coello CoelloProfessor of Computer Science, CINVESTAV-IPNVerified email at cs.cinvestav.mx
Marc SchoenauerSenior Researcher, INRIAVerified email at inria.fr
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Alberto PolicritiUniversity of UdineVerified email at uniud.it
Marley VellascoPontifícia Universidade Católica do Rio de JaneiroVerified email at ele.puc-rio.br
Tobias WagnerInstitute of Machining Technology (ISF), TU DortmundVerified email at isf.de
Adriana S. VivacquaDepartamento de Ciência da Computação, Universidade Federal do Rio de JaneiroVerified email at dcc.ufrj.br
Emma HartEdinburgh Napier UniversityVerified email at napier.ac.uk
Eduardo SegredoLecturer, Universidad de La LagunaVerified email at ull.edu.es
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Christian GrimmeDepartment of Information Systems, University of Münster, GermanyVerified email at uni-muenster.de
Roberto SantanaIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.es
Mengjie Zhang，FRSNZ, FEngNZ, FIE...Professor of Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Wemerson MarinhoUniversidade Federal Fluminense, Turma1Verified email at id.uff.br
Daniela TrevisanUniversidade Federal FluminenseVerified email at ic.uff.br
Laurent NavarroEcole des Mines de Saint EtienneVerified email at emse.fr

Luis Martí

Inria

Verified email at inria.fr - Homepage

Machine learning neural networks evolutionary computation multi-objective optimization multiobjective optimization


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Anomaly detection based on sensor data in petroleum industry applications L Martí, N Sanchez-Pi, JM Molina, ACB Garcia Sensors 15 (2), 2774-2797, 2015	147	2015
An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterion L Martí, J García, A Berlanga, JM Molina 2009 IEEE congress on evolutionary computation, 1263-1270, 2009	77	2009
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms L Martí, J García, A Berlanga, JM Molina Proceedings of the 9th annual conference companion on Genetic and …, 2007	63	2007
A taxonomy of online stopping criteria for multi-objective evolutionary algorithms T Wagner, H Trautmann, L Martí Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011	52	2011
Improving ontology-based text classification: An occupational health and security application N Sanchez-Pi, L Martí, ACB Garcia Journal of Applied Logic 17, 48-58, 2016	42	2016
Introducing MONEDA: Scalable multiobjective optimization with a neural estimation of distribution algorithm L Martí, J García, A Berlanga, JM Molina Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	42	2008
A stopping criterion for multi-objective optimization evolutionary algorithms L Martí, J García, A Berlanga, JM Molina Information Sciences 367, 700-718, 2016	41	2016
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms L Martí, J García, A Berlanga, CAC Coello, JM Molina Operations Research Letters 39 (2), 150-154, 2011	32	2011
Text classification techniques in oil industry applications N Sanchez-Pi, L Martí, ACB Garcia International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain …, 2014	30	2014
On current model-building methods for multi-objective estimation of distribution algorithms: Shortcommings and directions for improvement L Martí, J Garcia, A Berlanga, CA Coello, JM Molina Department of Informatics, Universidad Carlos III de Madrid, Madrid, Spain …, 2010	30	2010
Crowd-based ambient assisted living to monitor the elderly’s health outdoors ACB Garcia, AS Vivacqua, N Sanchez-Pi, L Martí, JM Molina IEEE Software 34 (6), 53-57, 2017	26	2017
A stopping criterion based on Kalman estimation techniques with several progress indicators JL Guerrero, J García, L Martí, JM Molina, A Berlanga Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009	25	2009
Introducing a robust and efficient stopping criterion for MOEAs JL Guerrero, L Martí, A Berlanga, J García, JM Molina IEEE Congress on Evolutionary Computation, 1-8, 2010	24	2010
Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm L Martí, J García, A Berlanga, JM Molina Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009	23	2009
Searching for changing-state agns in massive data sets. i. applying deep learning and anomaly-detection techniques to find agns with anomalous variability behaviors P Sánchez-Sáez, H Lira, L Martí, N Sanchez-Pi, J Arredondo, FE Bauer, ... The Astronomical Journal 162 (5), 206, 2021	19	2021
Model-building algorithms for multiobjective EDAs: Directions for improvement L Marti, J Garcia, A Berlanga, JM Molina 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	15	2008
Scalable multi-objective optimization L Martí Ph. D. Thesis, 2011	12	2011
MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm L Martí, J García, A Berlanga, JM Molina Journal of Global Optimization 66, 729-768, 2016	11	2016
Scalable continuous multiobjective optimization with a neural network–based estimation of distribution algorithm L Martí, J García, A Berlanga, JM Molina Applications of Evolutionary Computing: EvoWorkshops 2008: EvoCOMNET, EvoFIN …, 2008	11	2008
Evolutionary algorithms and elliptical copulas applied to continuous optimization problems HD de Mello Junior, L Marti, AVA da Cruz, MMBR Vellasco Information Sciences 369, 419-440, 2016	10	2016

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