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ORCIDJ. David Nuñez-Gonzalez
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2020 – today
- 2024
[c16]Ana Paula Aravena-Cifuentes, Lucia Porlan-Ferrando, J. David Nuñez-Gonzalez, Manuel Graña:
Brainstorming on Dataset Reduction from an Heuristic Bioinspired Green Computing Approach. IWINAC (2) 2024: 441-450- 2023
- [j11]Ana Paula Aravena-Cifuentes
, Jose David Nuñez-Gonzalez, Andoni Elola, Malinka Ivanova:
Development of AI-Based Tools for Power Generation Prediction. Comput. 11(11): 232 (2023) - [j10]Asier Garmendia-Orbegozo, Jose David Nuñez-Gonzalez, Miguel Ángel Antón:
SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction. Sensors 23(5): 2718 (2023) - [c15]Hilal Alawneh, Jose David Nuñez-Gonzalez, Manuel Graña:
Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach. HAIS 2023: 121-132 - [c14]Asier Garmendia-Orbegozo, Jose David Nuñez-Gonzalez, Miguel Ángel Antón González, Manuel Graña:
Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants of BOSME and GAN. HAIS 2023: 145-155 - 2022
- [j9]Asier Garmendia-Orbegozo, Sarah Noye, Miguel Ángel Antón, J. David Nuñez-Gonzalez:
Graph Based Learning for Building Prediction in Smart Cities. IEEE Access 10: 45471-45484 (2022) - [j8]Asier Garmendia-Orbegozo, J. David Nuñez-Gonzalez, Miguel Ángel Antón:
Reviewing and Discussing Graph Reduction in Edge Computing Context. Comput. 10(9): 161 (2022) - [c13]Baterdene Batmunkh, José Antonio Chica Paez, Sergio Gil-Lopez, Maider Arana Bollar, Oihana Jauregi Zorzano, Andoni Aranguren Ubierna, Manuel Graña, J. David Nuñez-Gonzalez:
First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data. SOCO 2022: 197-207 - 2021
- [j7]Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado:
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers. Artif. Intell. Medicine 115: 102054 (2021) - [j6]Maya Dimitrova, Hiroaki Wagatsuma, Aleksandar Krastev, Eleni Vrochidou, J. David Nuñez-Gonzalez:
A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education. Frontiers Robotics AI 8: 715962 (2021) - [j5]Maya Dimitrova, Hiroaki Wagatsuma, Aleksandar Krastev, Eleni Vrochidou, J. David Nuñez-Gonzalez:
Corrigendum: A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education. Frontiers Robotics AI 8: 795160 (2021) - [c12]Maya Dimitrova, Aleksandar Krastev, Negoslav Sabev, J. David Nuñez-Gonzalez:
Digital and e-Learning Accessibility for People with Special Educational Needs: A Robotic Perspective. ITHET 2021: 1-5 - 2020
- [c11]Oihana Aristondo, J. David Nuñez-Gonzalez, Manuel Graña:
Introducing Active Methodologies in Renewable Energy Engineering Bachelor in Mathematical and Numerical Analysis Subject. ICEUTE 2020: 114-120
2010 – 2019
- 2019
- [j4]Sebastián A. Ríos, Felipe Aguilera, J. David Nuñez-Gonzalez, Manuel Graña:
Semantically enhanced network analysis for influencer identification in online social networks. Neurocomputing 326-327: 71-81 (2019) - [c10]J. David Nuñez-Gonzalez, Alexander Gonzalo de Sá, Manuel Graña:
Testing Modified Confusion Entropy as Split Criterion for Decision Trees. HAIS 2019: 3-13 - [c9]Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado:
Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers. LOD 2019: 619-630 - 2018
- [c8]Rosario Delgado, J. David Núñez-González:
Enhancing Confusion Entropy as Measure for Evaluating Classifiers. SOCO-CISIS-ICEUTE 2018: 79-89 - [c7]J. David Núñez-González, Manuel Graña, José Manuel López-Guede:
Prelude of an Educational Innovation Project: Discussing a Redesign of the Continuous Assessment in Mathematics for Chemistry and Geology Bachelor Degree Students. SOCO-CISIS-ICEUTE 2018: 536-543 - 2017
- [c6]J. David Nuñez-Gonzalez, Manuel Graña:
Predicting Trust in Wikipedia's Vote Network Using Social Networks measures. IWINAC (2) 2017: 355-363 - 2016
- [j3]J. David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michal Wozniak:
A new heuristic for influence maximization in social networks. Log. J. IGPL 24(6): 996-1014 (2016) - 2015
- [j2]Manuel Graña, J. David Nuñez-Gonzalez, Leire Ozaeta, Anna Kaminska-Chuchmala:
Experiments of Trust Prediction in Social Networks by Artificial Neural Networks. Cybern. Syst. 46(1-2): 19-34 (2015) - [j1]J. David Nuñez-Gonzalez, Manuel Graña, Bruno Apolloni:
Reputation features for trust prediction in social networks. Neurocomputing 166: 1-7 (2015) - [c5]Manuel Graña, J. David Nuñez-Gonzalez:
An Instance of Social Intelligence in the Internet of Things: Bread Making Recipe Recommendation by ELM Regression. HAIS 2015: 16-25 - [c4]J. David Nuñez-Gonzalez, Manuel Graña:
Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks. IWINAC (2) 2015: 61-68 - 2014
- [c3]J. David Nuñez-Gonzalez, Manuel Graña:
On the Effect of High Order Reputation Information on Trust Prediction in Wikipedia's Vote Network. ENIC 2014: 59-62 - [c2]J. David Nuñez-Gonzalez, Manuel Graña:
Experiments on Trust Prediction Based on Reputation Features. SOCO-CISIS-ICEUTE 2014: 367-374 - 2013
- [c1]Manuel Graña, J. David Nuñez-Gonzalez, Bruno Apolloni:
A Discussion on Trust Requirements for a Social Network of Eahoukers. HAIS 2013: 540-547
Coauthor Index
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