Esteban García-Cuesta

34 papers A 1B 1C 3Journal 12Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MQG4AI Towards Responsible High-risk AI - Illustrated for Transparency Focusing on Explainability Techniques. CoRR Miriam Elia, Alba Maria Lopez, Katherin Alexandra Corredor, Bernhard Bauer, Esteban García-Cuesta
2024	J	`jnl`	An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees - SRules. CoRR Mario Parrón Verdasco, Esteban García-Cuesta
2024	J	`jnl`	Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness. CoRR Riccardo Pala, Esteban García-Cuesta
2024	J	`jnl`	EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database. Multim. Tools Appl. Esteban García-Cuesta, Antonio Barba Salvador, Diego Gachet Páez
2024	—	`conf`	Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. EAIS Esteban García-Cuesta, Javier Huertas-Tato, Pablo Cardinal-Fernandez, José Barberán
2024	—	`conf`	Leveraging Large Language Models (LLMs) as Domain Experts in a Validation Process. SEPLN Posters Carlos Badenes-Olmedo, Esteban García-Cuesta, Alejandro Sanchez-González, Óscar Corcho
2024	—	`conf`	On the transferability of local model-agnostic explanations of machine learning models to unseen data. EAIS Alba María López González, Esteban García-Cuesta
2023	J	`jnl`	A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. Appl. Intell. Esteban García-Cuesta, Ricardo Aler, David Pozo-Vázquez, Inés María Galván
2022	—	`conf`	EMOLEARN-"Las aventuras de Marco"- A Serious Game to train emotions to children with ASD (poster). CEV Antonio Barba, Verónica Rufo, Giuseppe Iandolo, Esteban García-Cuesta
2021	J	`jnl`	A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains. Inf. Rafael Muñoz Gil, Manuel de Buenaga Rodríguez, Fernando Aparicio Galisteo, Diego Gachet Páez, Esteban García-Cuesta
2020	—	`conf`	An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data. SOCO Esteban García-Cuesta, José Manuel López-López, Daniel Gómez-Vergel, Javier Huertas-Tato
2020	J	`jnl`	Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal. CoRR Esteban García-Cuesta
2018	J	`jnl`	Crowdsourcing roles, methods and tools for data-intensive disaster management. Inf. Syst. Frontiers Marta Poblet, Esteban García-Cuesta, Pompeu Casanovas
2018	J	`jnl`	Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures. CoRR Esteban García-Cuesta, José Manuél Gómez-Pérez
2017	—	`conf`	Prediction of User Interest by Predicting Product Text Reviews. ICPRAM (Revised Selected Papers) Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia Expósito, José Manuel López-López, María Vela-Pérez
2017	C	`conf`	Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach. ICPRAM Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia Expósito, María Vela-Pérez
2015	—	`conf`	Controlling and Monitoring Crisis. ESWC (Satellite Events) Nuria García-Santa, Esteban García-Cuesta, Boris Villazón-Terrazas
2014	B	`conf`	Language Processing Infrastructure in the XLike Project. LREC Lluís Padró, Zeljko Agic, Xavier Carreras, Blaz Fortuna, Esteban García-Cuesta, Zhixing Li, Tadej Stajner, Marko Tadic
2014	A	`conf`	XLike Project Language Analysis Services. EACL Xavier Carreras, Lluís Padró, Lei Zhang, Achim Rettinger, Zhixing Li, Esteban García-Cuesta, Zeljko Agic, Bozo Bekavac, Blaz Fortuna, Tadej Stajner
2013	—	`conf`	Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods. AICOL Marta Poblet, Esteban García-Cuesta, Pompeu Casanovas
2013	—	`conf`	How Reliable is Your Workflow: Monitoring Decay in Scholarly Publications. SePublica José Manuél Gómez-Pérez, Esteban García-Cuesta, Jun Zhao, Aleix Garrido, José Enrique Ruiz
2013	—	`conf`	When History Matters - Assessing Reliability for the Reuse of Scientific Workflows. ISWC (2) José Manuél Gómez-Pérez, Esteban García-Cuesta, Aleix Garrido, José Enrique Ruiz, Jun Zhao, Graham Klyne
2012	—	`conf`	From Workflows to Research Objects: An Architecture for Preserving the Semantics of Science. LISC@ISWC Kevin R. Page, Raúl Palma, Piotr Holubowicz, Graham Klyne, Stian Soiland-Reyes, Don Cruickshank, Rafael González-Cabero, Esteban García-Cuesta, David De Roure, Jun Zhao, José Manuél Gómez-Pérez
2012	—	`conf`	User modeling in changeable environments. EAIS José Antonio Iglesias, Esteban García-Cuesta
2012	J	`jnl`	User modeling: Through statistical analysis and subspace learning. Expert Syst. Appl. Esteban García-Cuesta, José Antonio Iglesias
2012	—	`conf`	Why workflows break - Understanding and combating decay in Taverna workflows. eScience Jun Zhao, José Manuél Gómez-Pérez, Khalid Belhajjame, Graham Klyne, Esteban García-Cuesta, Aleix Garrido, Kristina M. Hettne, Marco Roos, David De Roure, Carole A. Goble
2012	—	`conf`	Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. SePublica@ESWC Khalid Belhajjame, Óscar Corcho, Daniel Garijo, Jun Zhao, Paolo Missier, David R. Newman, Raúl Palma, Sean Bechhofer, Esteban García-Cuesta, José Manuél Gómez-Pérez, Graham Klyne, Kevin R. Page, Marco Roos, José Enrique Ruiz, Stian Soiland-Reyes, Lourdes Verdes-Montenegro, David De Roure, Carole A. Goble
2011	J	`jnl`	Recursive Discriminant Regression Analysis to Find Homogeneous Groups. Int. J. Neural Syst. Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2009	C	`conf`	Discriminant Regression Analysis to Find Homogeneous Structures. IDEAL Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2009	—	`conf`	Supervised clustering via principal component analysis in a retrieval application. KDD Workshop on Knowledge Discovery from Sensor Data Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2008	J	`jnl`	Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem. Eng. Appl. Artif. Intell. Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2007	—	`conf`	Application of Neural Networks to Atmospheric Pollutants Remote Sensing. IWINAC (2) Esteban García-Cuesta, Susana Briz, Isabel Fernández-Gómez, Antonio J. de Castro
2006	C	`conf`	Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles. IDEAL Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2005	—	`conf`	Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles. CIMCA/IAWTIC Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro