Esteban García-Cuesta

According to our database, Esteban García-Cuesta authored at least 29 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database.

Esteban García-Cuesta, Antonio Barba Salvador, Diego Gachet Páez

Multim. Tools Appl., February, 2024

Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness.

Riccardo Pala, Esteban García-Cuesta

CoRR, 2024

2023

A combination of supervised dimensionality reduction and learning methods to forecast solar radiation.

Esteban García-Cuesta, Ricardo Aler, David Pozo-Vázquez, Inés María Galván

Appl. Intell., June, 2023

2022

EMOLEARN-"Las aventuras de Marco"- A Serious Game to train emotions to children with ASD (poster).

Antonio Barba, Verónica Rufo, Giuseppe Iandolo, Esteban García-Cuesta

Proceedings of the Actas del I Congreso Español de Videojuegos, 2022

2021

A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains.

Rafael Muñoz Gil, Manuel de Buenaga Rodríguez, Fernando Aparicio Galisteo, Diego Gachet Páez, Esteban García-Cuesta

Inf., 2021

2020

Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal.

Esteban García-Cuesta

CoRR, 2020

An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data.

Esteban García-Cuesta, José Manuel López-López, Daniel Gómez-Vergel, Javier Huertas-Tato

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2018

Crowdsourcing roles, methods and tools for data-intensive disaster management.

Marta Poblet, Esteban García-Cuesta, Pompeu Casanovas

Inf. Syst. Frontiers, 2018

Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures.

Esteban García-Cuesta, José Manuél Gómez-Pérez

CoRR, 2018

2017

Prediction of User Interest by Predicting Product Text Reviews.

Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia Expósito, José Manuel López-López, María Vela-Pérez

Proceedings of the Pattern Recognition Applications and Methods, 2017

Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach.

Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia Expósito, María Vela-Pérez

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2015

Controlling and Monitoring Crisis.

Nuria García-Santa, Esteban García-Cuesta, Boris Villazón-Terrazas

Proceedings of the Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31, 2015

2014

Language Processing Infrastructure in the XLike Project.

Lluís Padró, Zeljko Agic, Xavier Carreras, Blaz Fortuna, Esteban García-Cuesta, Zhixing Li, Tadej Stajner, Marko Tadic

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

XLike Project Language Analysis Services.

Xavier Carreras, Lluís Padró, Lei Zhang, Achim Rettinger, Zhixing Li, Esteban García-Cuesta, Zeljko Agic, Bozo Bekavac, Blaz Fortuna, Tadej Stajner

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013

When History Matters - Assessing Reliability for the Reuse of Scientific Workflows.

José Manuél Gómez-Pérez, Esteban García-Cuesta, Aleix Garrido, José Enrique Ruiz, Jun Zhao, Graham Klyne

Proceedings of the Semantic Web - ISWC 2013, 2013

How Reliable is Your Workflow: Monitoring Decay in Scholarly Publications.

José Manuél Gómez-Pérez, Esteban García-Cuesta, Jun Zhao, Aleix Garrido, José Enrique Ruiz

Proceedings of the 3rd Workshop on Semantic Publishing, 2013

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods.

Marta Poblet, Esteban García-Cuesta, Pompeu Casanovas

Proceedings of the AI Approaches to the Complexity of Legal Systems, 2013

2012

User modeling: Through statistical analysis and subspace learning.

Esteban García-Cuesta, José Antonio Iglesias

Expert Syst. Appl., 2012

From Workflows to Research Objects: An Architecture for Preserving the Semantics of Science.

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

Proceedings of the Second International Workshop on Linked Science 2012, 2012

Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse.

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

Proceedings of the 2nd Workshop on Semantic Publishing, 2012

User modeling in changeable environments.

José Antonio Iglesias, Esteban García-Cuesta

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Why workflows break - Understanding and combating decay in Taverna workflows.

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

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011

Recursive Discriminant Regression Analysis to Find Homogeneous Groups.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Int. J. Neural Syst., 2011

2009

Supervised clustering via principal component analysis in a retrieval application.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Discriminant Regression Analysis to Find Homogeneous Structures.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Eng. Appl. Artif. Intell., 2008

2007

Application of Neural Networks to Atmospheric Pollutants Remote Sensing.

Esteban García-Cuesta, Susana Briz, Isabel Fernández-Gómez, Antonio J. de Castro

Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

2006

Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005

Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005