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Esteban García-Cuesta
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2020 – today
- 2024
- [j7]Esteban García-Cuesta
, Antonio Barba Salvador
EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database. Multim. Tools Appl. 83(5): 13093-13112 (2024) - [c22]Esteban García-Cuesta, Javier Huertas-Tato, Pablo Cardinal-Fernandez, José Barberán:
Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. EAIS 2024: 1-9 - [c21]Alba María López González, Esteban García-Cuesta:
On the transferability of local model-agnostic explanations of machine learning models to unseen data. EAIS 2024: 1-10 - [c20]Carlos Badenes-Olmedo, Esteban García-Cuesta, Alejandro Sanchez-González, Óscar Corcho:
Leveraging Large Language Models (LLMs) as Domain Experts in a Validation Process. SEPLN Posters 2024: 142-153 - [i4]Riccardo Pala, Esteban García-Cuesta:
Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness. CoRR abs/2402.19025 (2024) - [i3]Mario Parrón Verdasco, Esteban García-Cuesta:
An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees - SRules. CoRR abs/2407.20070 (2024) - 2023
- [j6]Esteban García-Cuesta
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. Appl. Intell. 53(11): 13053-13066 (2023) - 2022
- [c19]Antonio Barba, Verónica Rufo, Giuseppe Iandolo, Esteban García-Cuesta:
EMOLEARN-"Las aventuras de Marco"- A Serious Game to train emotions to children with ASD (poster). CEV 2022 - 2021
- [j5]Rafael Muñoz Gil
A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains. Inf. 12(11): 435 (2021) - 2020
- [c18]Esteban García-Cuesta
An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data. SOCO 2020: 176-185 - [i2]Esteban García-Cuesta
Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal. CoRR abs/2002.07734 (2020)
2010 – 2019
- 2018
- [j4]Marta Poblet
Crowdsourcing roles, methods and tools for data-intensive disaster management. Inf. Syst. Frontiers 20(6): 1363-1379 (2018) - [i1]Esteban García-Cuesta
Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures. CoRR abs/1807.07346 (2018) - 2017
- [c17]Esteban García-Cuesta
Prediction of User Interest by Predicting Product Text Reviews. ICPRAM (Revised Selected Papers) 2017: 132-146 - [c16]Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracia Expósito
Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach. ICPRAM 2017: 233-238 - 2015
- [c15]Nuria García-Santa, Esteban García-Cuesta
Controlling and Monitoring Crisis. ESWC (Satellite Events) 2015: 46-50 - 2014
- [c14]Xavier Carreras, Lluís Padró, Lei Zhang, Achim Rettinger, Zhixing Li, Esteban García-Cuesta, Zeljko Agic, Bozo Bekavac, Blaz Fortuna, Tadej Stajner:
XLike Project Language Analysis Services. EACL 2014: 9-12 - [c13]Lluís Padró, Zeljko Agic, Xavier Carreras, Blaz Fortuna, Esteban García-Cuesta, Zhixing Li, Tadej Stajner, Marko Tadic:
Language Processing Infrastructure in the XLike Project. LREC 2014: 3811-3816 - 2013
- [c12]Marta Poblet, Esteban García-Cuesta
Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods. AICOL 2013: 261-274 - [c11]José Manuél Gómez-Pérez, Esteban García-Cuesta, Jun Zhao, Aleix Garrido, José Enrique Ruiz:
How Reliable is Your Workflow: Monitoring Decay in Scholarly Publications. SePublica 2013: 75-86 - [c10]José Manuél Gómez-Pérez, Esteban García-Cuesta
When History Matters - Assessing Reliability for the Reuse of Scientific Workflows. ISWC (2) 2013: 81-97 - 2012
- [j3]Esteban García-Cuesta
User modeling: Through statistical analysis and subspace learning. Expert Syst. Appl. 39(5): 5243-5250 (2012) - [c9]Jun Zhao, José Manuél Gómez-Pérez, Khalid Belhajjame, Graham Klyne, Esteban García-Cuesta
Why workflows break - Understanding and combating decay in Taverna workflows. eScience 2012: 1-9 - [c8]José Antonio Iglesias
User modeling in changeable environments. EAIS 2012: 182-185 - [c7]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:
Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. SePublica@ESWC 2012: 1-12 - [c6]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:
From Workflows to Research Objects: An Architecture for Preserving the Semantics of Science. LISC@ISWC 2012 - 2011
- [j2]Esteban García-Cuesta
Recursive Discriminant Regression Analysis to Find Homogeneous Groups. Int. J. Neural Syst. 21(1): 95-101 (2011)
2000 – 2009
- 2009
- [c5]Esteban García-Cuesta
Discriminant Regression Analysis to Find Homogeneous Structures. IDEAL 2009: 191-199 - [c4]Esteban García-Cuesta
Supervised clustering via principal component analysis in a retrieval application. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 97-104 - 2008
- [j1]Esteban García-Cuesta
Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem. Eng. Appl. Artif. Intell. 21(1): 26-34 (2008) - 2007
- [c3]Esteban García-Cuesta, Susana Briz, Isabel Fernández-Gómez, Antonio J. de Castro:
Application of Neural Networks to Atmospheric Pollutants Remote Sensing. IWINAC (2) 2007: 589-598 - 2006
- [c2]Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro:
Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles. IDEAL 2006: 754-762 - 2005
- [c1]Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro:
Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles. CIMCA/IAWTIC 2005: 81-86
Coauthor Index
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last updated on 2024-12-05 20:47 CET by the dblp team
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