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2020 – today
- 2024
[j14]Hugo Carrillo Lincopi, Taco de Wolff, Luis Martí, Nayat Sánchez-Pi:
Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach. AI Commun. 37(3): 397-409 (2024)- [c56]Sofía Callejas, Hernan Lira
, Andrew Berry, Luis Martí, Nayat Sánchez-Pi:
Capturing the Essence of Plankton: A Gradient-Weighted Class Activation Mapping Analysis. IBERAMIA 2024: 74-86 - [c55]Hernan Lira, Taco de Wolff, Luis Martí, Nayat Sánchez-Pi:
FairTrees: A Deep Learning Approach for Identifying Deforestation on Satellite Images. IBERAMIA 2024: 173-184 - [i5]Eduardo Charles Vasconcellos, Ronald M. Sampaio, André P. D. de Araújo, Esteban Walter Gonzales Clua, Philippe Preux, Raphael Guerra, Luiz M. G. Gonçalves, Luis Martí, Hernan Lira, Nayat Sánchez-Pi:
Reinforcement-learning robotic sailboats: simulator and preliminary results. CoRR abs/2402.03337 (2024) - [i4]Vishnou Vinayagame, Gregory Senay, Luis Martí:
MATATA: a weak-supervised MAthematical Tool-Assisted reasoning for Tabular Applications. CoRR abs/2411.18915 (2024) - 2023
- [c54]Cristiane Salgado Pereira, Douglas Mota Dias, Luis Martí, Marley M. B. R. Vellasco:
A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming. GECCO Companion 2023: 1972-1980 - [c53]Wemerson Marinho, Esteban Walter Gonzalez Clua, Luis Martí, Karla Marinho:
Predicting Item Response Theory Parameters Using Question Statements Texts. LAK 2023: 1-10 - [c52]Rogério Ferreira de Moraes, Raphael dos S. Evangelista, Andre Luiz da S. Pereira, Yanexis Pupo Toledo, Leandro A. F. Fernandes, Luis Martí:
Heuristics to reduce linear combinations of activation functions to improve image classification. SIBGRAPI 2023: 169-174 - 2022
- [j13]Hernan Lira, Luis Martí, Nayat Sánchez-Pi:
A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast. Sensors 22(4): 1486 (2022) - [c51]Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi:
MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks. GECCO Companion 2022: 228-231 - [c50]Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi:
Optimal Architecture Discovery for Physics-Informed Neural Networks. IBERAMIA 2022: 77-88 - 2021
- [c49]Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi:
Predicting Mining Industry Accidents with a Multitask Learning Approach. AAAI 2021: 15370-15376 - [c48]Ana Muñoz, Luis Martí, Nayat Sánchez-Pi:
Data Governance, a Knowledge Model Through Ontologies. CITI 2021: 18-32 - [c47]Nayat Sánchez-Pi, Luis Martí:
Towards a green AI: evolutionary solutions for an ecologically viable artificial intelligence. GECCO Companion 2021: 1135-1140 - [c46]Rogério Ferreira de Moraes, Raphael S. Evangelista, Leandro A. F. Fernandes, Luis Martí:
GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification. SIBGRAPI 2021: 409-416 - [i3]Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi:
Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling. CoRR abs/2106.08747 (2021) - 2020
- [j12]Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia:
Collective intelligence approaches in interactive evolutionary multi-objective optimization. Log. J. IGPL 28(1): 95-108 (2020) - [c45]Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia:
Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application. CEC 2020: 1-8
2010 – 2019
- 2019
- [j11]Roberto Santana, Luis Martí, Mengjie Zhang:
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. 20(3): 385-411 (2019) - 2018
- [j10]Luis Martí, Eduardo Segredo, Nayat Sánchez-Pi, Emma Hart:
Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technol. Appl. 52(4): 502-519 (2018) - [c44]Rogério Ferreira de Moraes, André Renato Villela da Silva, Luiz Satoru Ochi, Luis Martí:
Implementation of a RVND, VNS, ILS Heuristic for the Traveling Car Renter Problem. CEC 2018: 1-8 - [c43]Luis Martí, Marc Schoenauer:
Bio-inspired approaches to anomaly and intrusion detection. GECCO (Companion) 2018: 1121-1137 - [c42]José Luis Guerrero, Luis Martí, Nayat Sánchez-Pi, Antonio Berlanga, José Manuel Molina:
Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. GECCO (Companion) 2018: 1805-1812 - [c41]Cristiane Salgado Pereira, Douglas Mota Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Martí:
Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches. GECCO (Companion) 2018: 1821-1828 - [c40]Nayat Sánchez-Pi, Luis Martí, José M. Molina:
Applying VorEAl for IoT Intrusion Detection. HAIS 2018: 363-374 - [c39]Wemerson Marinho, Luis Martí, Nayat Sánchez-Pi:
A Compact Encoding for Efficient Character-level Deep Text Classification. IJCNN 2018: 1-8 - [c38]Nayat Sánchez-Pi, Luis Martí, Alvaro Luis Bustamante, José M. Molina:
How Machine Learning Could Detect Anomalies on Thinger.io Platform? PAAMS (Workshops) 2018: 259-269 - [c37]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - 2017
- [j9]Luis Martí, Nayat Sánchez-Pi, José M. Molina López, Ana Cristina Bicharra Garcia:
On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study. J. Appl. Log. 24: 71-84 (2017) - [j8]Ana Cristina Bicharra Garcia, Adriana Santarosa Vivacqua, Nayat Sánchez-Pi, Luis Martí, José M. Molina:
Crowd-Based Ambient Assisted Living to Monitor the Elderly's Health Outdoors. IEEE Softw. 34(6): 53-57 (2017) - [c36]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Progressively adding objectives: a case study in anomaly detection. GECCO 2017: 593-600 - [c35]Luis Martí, Eduardo Segredo, Nayat Sánchez-Pi, Emma Hart:
Impact of selection methods on the diversity of many-objective Pareto set approximations. KES 2017: 844-853 - 2016
- [j7]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
A stopping criterion for multi-objective optimization evolutionary algorithms. Inf. Sci. 367-368: 700-718 (2016) - [j6]Harold Dias de Mello Junior, Luis Martí, André Vargas Abs da Cruz, Marley M. B. R. Vellasco:
Evolutionary algorithms and elliptical copulas applied to continuous optimization problems. Inf. Sci. 369: 419-440 (2016) - [j5]Nayat Sánchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia:
Improving ontology-based text classification: An occupational health and security application. J. Appl. Log. 17: 48-58 (2016) - [j4]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm. J. Glob. Optim. 66(4): 729-768 (2016) - [c34]Luis Martí, Harold D. de Mello Jr., Nayat Sánchez-Pi, Marley M. B. R. Vellasco:
SMS-EDA-MEC: Extending Copula-based EDAs to multi-objective optimization. CEC 2016: 3726-3733 - [c33]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. GECCO (Companion) 2016: 11-12 - [c32]Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia:
Bio-Inspired Algorithms and Preferences for Multi-objective Problems. HAIS 2016: 238-249 - [c31]Javier Jiménez Alemán, Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study. HCI (25) 2016: 16-25 - [c30]Javier Jiménez Alemán, Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
A Data Fusion Model for Ambient Assisted Living. PAAMS (Workshops) 2016: 301-312 - [c29]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. PPSN 2016: 697-706 - [p1]Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
Information Fusion for Improving Decision-Making in Big Data Applications. Resource Management for Big Data Platforms 2016: 171-188 - [i2]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. CoRR abs/1610.08640 (2016) - 2015
- [j3]Luis Martí, Nayat Sánchez-Pi, José Manuel Molina, Ana Cristina Bicharra Garcia:
Anomaly Detection Based on Sensor Data in Petroleum Industry Applications. Sensors 15(2): 2774-2797 (2015) - [c28]Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph:
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. GECCO (Companion) 2015: 1427-1428 - [c27]Daniela Gorski Trevisan, Nayat Sánchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia:
Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry. HCI (4) 2015: 46-54 - [c26]Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia:
Using Collective Intelligence to Support Multi-objective Decisions: Collaborative and Online Preferences. ASE Workshops 2015: 82-85 - [c25]Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia:
Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence. SAC 2015: 133-138 - [c24]Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
Ontology definition and cognitive analysis in ocupational health and security (OHS) environments. SAC 2015: 201-206 - [i1]Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph:
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. CoRR abs/1503.07845 (2015) - 2014
- [c23]Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
An information fusion framework for context-based accidents prevention. FUSION 2014: 1-8 - [c22]Luis Martí, Nayat Sánchez-Pi, José Manuel Molina, Ana Cristina Bicharra Garcia:
YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems. HAIS 2014: 697-708 - [c21]Luis Martí, Nayat Sánchez-Pi, Marley M. B. R. Vellasco:
Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms. IBERAMIA 2014: 359-370 - [c20]Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments. PAAMS (Workshops) 2014: 202-213 - [c19]Luis Martí, Nayat Sánchez-Pi, José Manuel Molina, Ana Cristina Bicharra Garcia:
Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application. SOCO-CISIS-ICEUTE 2014: 269-278 - 2013
- [j2]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm. Ann. Math. Artif. Intell. 68(4): 247-273 (2013) - [c18]Nayat Sánchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia:
Text Classification Techniques in Oil Industry Applications. SOCO-CISIS-ICEUTE 2013: 211-220 - 2011
- [j1]Luis Martí, Jesús García, Antonio Berlanga, Carlos A. Coello Coello, José M. Molina:
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms. Oper. Res. Lett. 39(2): 150-154 (2011) - [c17]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina López:
Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. IEEE Congress on Evolutionary Computation 2011: 957-964 - [c16]Tobias Wagner, Heike Trautmann, Luis Martí:
A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. EMO 2011: 16-30 - [c15]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study. LION 2011: 458-472 - 2010
- [c14]José Luis Guerrero, Luis Martí, Antonio Berlanga, Jesús García, José M. Molina López:
Introducing a robust and efficient stopping criterion for MOEAs. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c13]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
A progress indicator for detecting success and failure in evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c12]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms. EvoApplications (1) 2010: 512-521 - [c11]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Moving away from error-based learning in multi-objective estimation of distribution algorithms. GECCO 2010: 545-546
2000 – 2009
- 2009
- [c10]José Luis Guerrero, Jesús García, Luis Martí, José Manuel Molina, Antonio Berlanga:
A stopping criterion based on Kalman estimation techniques with several progress indicators. GECCO 2009: 587-594 - [c9]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. GECCO 2009: 619-626 - [c8]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms. HAIS 2009: 293-300 - 2008
- [c7]Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
Model-building algorithms for multiobjective EDAs: Directions for improvement. IEEE Congress on Evolutionary Computation 2008: 2843-2850 - [c6]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
Scalable Continuous Multiobjective Optimization with a Neural Network-Based Estimation of Distribution Algorithm. EvoWorkshops 2008: 535-544 - [c5]Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. GECCO 2008: 689-696 - [c4]Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
On the Computational Properties of the Multi-Objective Neural Estimation of Distribution Algorithm. NICSO 2008: 239-251 - 2007
- [c3]Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. GECCO 2007: 911 - [c2]Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. GECCO (Companion) 2007: 2835-2842 - [c1]Luis Martí:
An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding. IJCNN 2007: 2448-2453
Coauthor Index
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