Luis Martí - RankMe

79 papers A* 1A 8B 10C 2Misc 6Journal 20Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America. CoRR Yannis Karmim, Renato Pino, Hernan Contreras, Hernan Lira, Sebastian Cifuentes, Simon Escoffier, Luis Martí, Djamé Seddah, Valentin Barrière
2025	—	`conf`	A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic Metabolism. GECCO Companion Hernan Lira, Luis Martí, Nayat Sánchez-Pi
2025	—	`conf`	MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications. ICDAR (1) Vishnou Vinayagame, Gregory Senay, Luis Martí
2024	—	`conf`	Capturing the Essence of Plankton: A Gradient-Weighted Class Activation Mapping Analysis. IBERAMIA Sofía Callejas, Hernan Lira, Andrew Berry, Luis Martí, Nayat Sánchez-Pi
2024	J	`jnl`	Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach. AI Commun. Hugo Carrillo Lincopi, Taco de Wolff, Luis Martí, Nayat Sánchez-Pi
2024	—	`conf`	FairTrees: A Deep Learning Approach for Identifying Deforestation on Satellite Images. IBERAMIA Hernan Lira, Taco de Wolff, Luis Martí, Nayat Sánchez-Pi
2024	J	`jnl`	MATATA: a weak-supervised MAthematical Tool-Assisted reasoning for Tabular Applications. CoRR Vishnou Vinayagame, Gregory Senay, Luis Martí
2024	J	`jnl`	Reinforcement-learning robotic sailboats: simulator and preliminary results. CoRR 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
2023	—	`conf`	A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming. GECCO Companion Cristiane Salgado Pereira, Douglas Mota Dias, Luis Martí, Marley M. B. R. Vellasco
2023	—	`conf`	Heuristics to reduce linear combinations of activation functions to improve image classification. SIBGRAPI Rogério Ferreira de Moraes, Raphael dos S. Evangelista, Andre Luiz da S. Pereira, Yanexis Pupo Toledo, Leandro A. F. Fernandes, Luis Martí
2023	A	`conf`	Predicting Item Response Theory Parameters Using Question Statements Texts. LAK Wemerson Marinho, Esteban Walter Gonzalez Clua, Luis Martí, Karla Marinho
2022	J	`jnl`	A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast. Sensors Hernan Lira, Luis Martí, Nayat Sánchez-Pi
2022	—	`conf`	MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks. GECCO Companion Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi
2022	—	`conf`	Optimal Architecture Discovery for Physics-Informed Neural Networks. IBERAMIA Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi
2021	—	`conf`	Data Governance, a Knowledge Model Through Ontologies. CITI Ana Muñoz, Luis Martí, Nayat Sánchez-Pi
2021	—	`conf`	GCOOD: A Generic Coupled Out-of-Distribution Detector for Robust Classification. SIBGRAPI Rogério Ferreira de Moraes, Raphael S. Evangelista, Leandro A. F. Fernandes, Luis Martí
2021	A*	`conf`	Predicting Mining Industry Accidents with a Multitask Learning Approach. AAAI Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi
2021	J	`jnl`	Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling. CoRR Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi
2021	—	`conf`	Towards a green AI: evolutionary solutions for an ecologically viable artificial intelligence. GECCO Companion Nayat Sánchez-Pi, Luis Martí
2020	J	`jnl`	Collective intelligence approaches in interactive evolutionary multi-objective optimization. Log. J. IGPL Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia
2020	B	`conf`	Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application. CEC Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia
2019	J	`jnl`	GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. Roberto Santana, Luis Martí, Mengjie Zhang
2018	B	`conf`	A Compact Encoding for Efficient Character-level Deep Text Classification. IJCNN Wemerson Marinho, Luis Martí, Nayat Sánchez-Pi
2018	Misc	`conf`	Applying VorEAl for IoT Intrusion Detection. HAIS Nayat Sánchez-Pi, Luis Martí, José M. Molina
2018	—	`conf`	Bio-inspired approaches to anomaly and intrusion detection. GECCO (Companion) Luis Martí, Marc Schoenauer
2018	—	`conf`	Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches. GECCO (Companion) Cristiane Salgado Pereira, Douglas Mota Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Martí
2018	—	`conf`	How Machine Learning Could Detect Anomalies on Thinger.io Platform? PAAMS (Workshops) Nayat Sánchez-Pi, Luis Martí, Alvaro Luis Bustamante, José M. Molina
2018	B	`conf`	Implementation of a RVND, VNS, ILS Heuristic for the Traveling Car Renter Problem. CEC Rogério Ferreira de Moraes, André Renato Villela da Silva, Luiz Satoru Ochi, Luis Martí
2018	—	`conf`	Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. GECCO (Companion) José Luis Guerrero, Luis Martí, Nayat Sánchez-Pi, Antonio Berlanga, José Manuel Molina
2018	J	`jnl`	Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technol. Appl. Luis Martí, Eduardo Segredo, Nayat Sánchez-Pi, Emma Hart
2018	—	`conf`	Tutorials at PPSN 2018. PPSN (2) 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
2017	J	`jnl`	Crowd-Based Ambient Assisted Living to Monitor the Elderly's Health Outdoors. IEEE Softw. Ana Cristina Bicharra Garcia, Adriana Santarosa Vivacqua, Nayat Sánchez-Pi, Luis Martí, José M. Molina
2017	B	`conf`	Impact of selection methods on the diversity of many-objective Pareto set approximations. KES Luis Martí, Eduardo Segredo, Nayat Sánchez-Pi, Emma Hart
2017	J	`jnl`	On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study. J. Appl. Log. Luis Martí, Nayat Sánchez-Pi, José M. Molina López, Ana Cristina Bicharra Garcia
2017	A	`conf`	Progressively adding objectives: a case study in anomaly detection. GECCO Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
2016	—	`conf`	A Data Fusion Model for Ambient Assisted Living. PAAMS (Workshops) Javier Jiménez Alemán, Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia
2016	J	`jnl`	A stopping criterion for multi-objective optimization evolutionary algorithms. Inf. Sci. Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2016	A	`conf`	Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. PPSN Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
2016	J	`jnl`	Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. CoRR Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
2016	Misc	`conf`	Bio-Inspired Algorithms and Preferences for Multi-objective Problems. HAIS Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia
2016	J	`jnl`	Evolutionary algorithms and elliptical copulas applied to continuous optimization problems. Inf. Sci. Harold Dias de Mello Junior, Luis Martí, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
2016	—	`conf`	Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study. HCI (25) Javier Jiménez Alemán, Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia
2016	J	`jnl`	Improving ontology-based text classification: An occupational health and security application. J. Appl. Log. Nayat Sánchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia
2016	—	`ch.`	Information Fusion for Improving Decision-Making in Big Data Applications. Resource Management for Big Data Platforms Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia
2016	J	`jnl`	MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm. J. Glob. Optim. Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2016	B	`conf`	SMS-EDA-MEC: Extending Copula-based EDAs to multi-objective optimization. CEC Luis Martí, Harold D. de Mello Jr., Nayat Sánchez-Pi, Marley M. B. R. Vellasco
2016	—	`conf`	VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. GECCO (Companion) Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
2015	J	`jnl`	Anomaly Detection Based on Sensor Data in Petroleum Industry Applications. Sensors Luis Martí, Nayat Sánchez-Pi, José Manuel Molina, Ana Cristina Bicharra Garcia
2015	—	`conf`	Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. GECCO (Companion) Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph
2015	J	`jnl`	Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. CoRR Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph
2015	—	`conf`	Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry. HCI (4) Daniela Gorski Trevisan, Nayat Sánchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia
2015	Misc	`conf`	Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence. SAC Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia
2015	Misc	`conf`	Ontology definition and cognitive analysis in ocupational health and security (OHS) environments. SAC Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia
2015	—	`conf`	Using Collective Intelligence to Support Multi-objective Decisions: Collaborative and Online Preferences. ASE Workshops Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia
2014	C	`conf`	An information fusion framework for context-based accidents prevention. FUSION Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia
2014	—	`conf`	Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application. SOCO-CISIS-ICEUTE Luis Martí, Nayat Sánchez-Pi, José Manuel Molina, Ana Cristina Bicharra Garcia
2014	—	`conf`	High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments. PAAMS (Workshops) Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia
2014	—	`conf`	Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms. IBERAMIA Luis Martí, Nayat Sánchez-Pi, Marley M. B. R. Vellasco
2014	Misc	`conf`	YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems. HAIS Luis Martí, Nayat Sánchez-Pi, José Manuel Molina, Ana Cristina Bicharra Garcia
2013	J	`jnl`	Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm. Ann. Math. Artif. Intell. Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2013	—	`conf`	Text Classification Techniques in Oil Industry Applications. SOCO-CISIS-ICEUTE Nayat Sánchez-Pi, Luis Martí, Ana Cristina Bicharra Garcia
2011	C	`conf`	A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. EMO Tobias Wagner, Heike Trautmann, Luis Martí
2011	B	`conf`	Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. IEEE Congress on Evolutionary Computation Luis Martí, Jesús García, Antonio Berlanga, José M. Molina López
2011	J	`jnl`	MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms. Oper. Res. Lett. Luis Martí, Jesús García, Antonio Berlanga, Carlos A. Coello Coello, José M. Molina
2011	—	`conf`	Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study. LION Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2010	B	`conf`	A progress indicator for detecting success and failure in evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2010	—	`conf`	Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms. EvoApplications (1) Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2010	B	`conf`	Introducing a robust and efficient stopping criterion for MOEAs. IEEE Congress on Evolutionary Computation José Luis Guerrero, Luis Martí, Antonio Berlanga, Jesús García, José M. Molina López
2010	A	`conf`	Moving away from error-based learning in multi-objective estimation of distribution algorithms. GECCO Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2009	A	`conf`	A stopping criterion based on Kalman estimation techniques with several progress indicators. GECCO José Luis Guerrero, Jesús García, Luis Martí, José Manuel Molina, Antonio Berlanga
2009	Misc	`conf`	On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms. HAIS Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2009	A	`conf`	Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. GECCO Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2008	A	`conf`	Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. GECCO Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina
2008	B	`conf`	Model-building algorithms for multiobjective EDAs: Directions for improvement. IEEE Congress on Evolutionary Computation Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina
2008	—	`conf`	On the Computational Properties of the Multi-Objective Neural Estimation of Distribution Algorithm. NICSO Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2008	—	`conf`	Scalable Continuous Multiobjective Optimization with a Neural Network-Based Estimation of Distribution Algorithm. EvoWorkshops Luis Martí, Jesús García, Antonio Berlanga, José M. Molina
2007	A	`conf`	A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. GECCO Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina
2007	—	`conf`	A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. GECCO (Companion) Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina
2007	B	`conf`	An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding. IJCNN Luis Martí