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Luis Martí
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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
1952015
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
832009
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
652007
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
572011
A stopping criterion for multi-objective optimization evolutionary algorithms
L Martí, J García, A Berlanga, JM Molina
Information Sciences 367, 700-718, 2016
512016
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
482016
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
442008
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
402014
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
392021
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
332011
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
332010
Crowd-based ambient assisted living to monitor the elderly’s health outdoors
ACB Garcia, AS Vivacqua, N Sánchez-Pi, L Martí, JM Molina
IEEE Software 34 (6), 53-57, 2017
312017
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
292009
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
272010
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
232009
Assessing physics informed neural networks in ocean modelling and climate change applications
T de Wolff, H Carrillo, L Martí, N Sanchez-Pi
AI: Modeling Oceans and Climate Change Workshop at ICLR 2021, 2021
172021
A graph neural network with spatio-temporal attention for multi-sources time series data: An application to frost forecast
H Lira, L Martí, N Sanchez-Pi
Sensors 22 (4), 1486, 2022
152022
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
152008
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
132016
Towards optimally weighted physics-informed neural networks in ocean modelling
T de Wolff, H Carrillo, L Martí, N Sanchez-Pi
arXiv preprint arXiv:2106.08747, 2021
122021
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