Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles. - Esteban García-Cuesta; Inés María Galván; Antonio J. de Castro (CIMCA/IAWTIC, 2005)

Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles. - Esteban García-Cuesta; Inés María Galván; Antonio J. de Castro (IDEAL, 2006)

Application of Neural Networks to Atmospheric Pollutants Remote Sensing. - Esteban García-Cuesta; Susana Briz; Isabel Fernández-Gómez; Antonio J. de Castro (IWINAC (2), 2007)

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)

Discriminant Regression Analysis to Find Homogeneous Structures. - Esteban García-Cuesta; Inés María Galván; Antonio J. de Castro (IDEAL, 2009)

Supervised clustering via principal component analysis in a retrieval application. - Esteban García-Cuesta; Inés María Galván; Antonio J. de Castro (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Recursive Discriminant Regression Analysis to Find Homogeneous Groups. - Esteban García-Cuesta; Inés María Galván; Antonio J. de Castro (Int. J. Neural Syst., 2011)

Why workflows break - Understanding and combating decay in Taverna workflows. - Jun Zhao 003; José Manuél Gómez-Pérez; Khalid Belhajjame; Graham Klyne; Esteban García-Cuesta; Aleix Garrido; Kristina M. Hettne; Marco Roos; David De Roure; Carole A. Goble (eScience, 2012)

User modeling in changeable environments. - José Antonio Iglesias 001; Esteban García-Cuesta (EAIS, 2012)

Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. - Khalid Belhajjame; Óscar Corcho; Daniel Garijo; Jun Zhao 003; Paolo Missier; David R. Newman; Raúl Palma; Sean Bechhofer; Esteban García-Cuesta; José Manuél Gómez-Pérez; Graham Klyne; Kevin R. Page; et al. (SePublica@ESWC, 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 003; José Manuél Gómez-Pérez (LISC@ISWC, 2012)

User modeling: Through statistical analysis and subspace learning. - Esteban García-Cuesta; José Antonio Iglesias 001 (Expert Syst. Appl., 2012)

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods. - Marta Poblet; Esteban García-Cuesta; Pompeu Casanovas (AICOL, 2013)

How Reliable is Your Workflow: Monitoring Decay in Scholarly Publications. - José Manuél Gómez-Pérez; Esteban García-Cuesta; Jun Zhao 003; Aleix Garrido; José Enrique Ruiz (SePublica, 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 003; Graham Klyne (ISWC (2), 2013)

XLike Project Language Analysis Services. - Xavier Carreras; Lluís Padró 001; Lei Zhang 034; Achim Rettinger; Zhixing Li; Esteban García-Cuesta; Zeljko Agic; Bozo Bekavac; Blaz Fortuna; Tadej Stajner (EACL, 2014)

Language Processing Infrastructure in the XLike Project. - Lluís Padró 001; Zeljko Agic; Xavier Carreras; Blaz Fortuna; Esteban García-Cuesta; Zhixing Li; Tadej Stajner; Marko Tadic (LREC, 2014)

Controlling and Monitoring Crisis. - Nuria García-Santa; Esteban García-Cuesta; Boris Villazón-Terrazas (ESWC (Satellite Events), 2015)

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 (ICPRAM, 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 (ICPRAM (Revised Selected Papers), 2017)

Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures. - Esteban García-Cuesta; José Manuél Gómez-Pérez (CoRR, 2018)

Crowdsourcing roles, methods and tools for data-intensive disaster management. - Marta Poblet; Esteban García-Cuesta; Pompeu Casanovas (Inf. Syst. Frontiers, 2018)

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 (SOCO, 2020)

Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal. - Esteban García-Cuesta (CoRR, 2020)

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)

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 (CEV, 2022)

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., 2023)

Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. - Esteban García-Cuesta; Javier Huertas-Tato; Pablo Cardinal-Fernandez; José Barberán (EAIS, 2024)

On the transferability of local model-agnostic explanations of machine learning models to unseen data. - Alba María López González; Esteban García-Cuesta (EAIS, 2024)

Leveraging Large Language Models (LLMs) as Domain Experts in a Validation Process. - Carlos Badenes-Olmedo; Esteban García-Cuesta; Alejandro Sanchez-González; Óscar Corcho (SEPLN Posters, 2024)

Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness. - Riccardo Pala; Esteban García-Cuesta (CoRR, 2024)

An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees - SRules. - Mario Parrón Verdasco; Esteban García-Cuesta (CoRR, 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., 2024)

MQG4AI Towards Responsible High-risk AI - Illustrated for Transparency Focusing on Explainability Techniques. - Miriam Elia; Alba Maria Lopez; Katherin Alexandra Corredor; Bernhard Bauer 001; Esteban García-Cuesta (CoRR, 2025)