J. David Nuñez-Gonzalez

According to our database, J. David Nuñez-Gonzalez authored at least 31 papers between 2013 and 2025.

Collaborative distances:

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

2025

A heuristic dataset reduction for green computing of photovoltaic power generation prediction.

Ana Paula Aravena-Cifuentes, J. David Nuñez-Gonzalez, Manuel Graña

Nat. Comput., September, 2025

Transfer Learning Approach for Prediction of Maximum Wave Height in Two Locations of the Bay of Biscay: Bilbao and Cabo de Peñas.

Lucia Porlan-Ferrando, J. David Nuñez-Gonzalez, Alain Ulazia, Manuel Graña

Proceedings of the Advances in Computational Intelligence, 2025

Forecasting Thermal Demand in Citizen Energy Communities Using Machine Learning: Application to the Urberoa Case Study.

Raul Saenz-Herreros, Alejandro Muro-Belloso, Ignacio Guisasola-Iparraguirre, Ignacio Lázaro-Llorente, J. David Nuñez-Gonzalez

Proceedings of the Hybrid Artificial Intelligent Systems - 20th International Conference, 2025

2024

Predicting Power Generation from Photovoltaic Energy System.

Ana Paula Aravena-Cifuentes, J. David Nuñez-Gonzalez, Daniel Morejón Roldán, Junior Altamiranda, Manuel Graña

Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024

Brainstorming on Dataset Reduction from an Heuristic Bioinspired Green Computing Approach.

Ana Paula Aravena-Cifuentes, Lucia Porlan-Ferrando, J. David Nuñez-Gonzalez, Manuel Graña

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023

Development of AI-Based Tools for Power Generation Prediction.

Ana Paula Aravena-Cifuentes, Jose David Nuñez-Gonzalez, Andoni Elola, Malinka Ivanova

Comput., November, 2023

SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction.

Asier Garmendia-Orbegozo, Jose David Nuñez-Gonzalez, Miguel Ángel Antón

Sensors, March, 2023

Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants of BOSME and GAN.

Asier Garmendia-Orbegozo, Jose David Nuñez-Gonzalez, Miguel Ángel Antón González, Manuel Graña

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach.

Hilal Alawneh, Jose David Nuñez-Gonzalez, Manuel Graña

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022

Reviewing and Discussing Graph Reduction in Edge Computing Context.

Asier Garmendia-Orbegozo, J. David Nuñez-Gonzalez, Miguel Ángel Antón

Comput., 2022

Graph Based Learning for Building Prediction in Smart Cities.

Asier Garmendia-Orbegozo, Sarah Noye, Miguel Ángel Antón, J. David Nuñez-Gonzalez

IEEE Access, 2022

First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data.

Baterdene Batmunkh, José Antonio Chica Paez, Sergio Gil-Lopez, Maider Arana Bollar, Oihana Jauregi Zorzano, Andoni Aranguren Ubierna, Manuel Graña, J. David Nuñez-Gonzalez

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

2021

Corrigendum: A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education.

Maya Dimitrova, Hiroaki Wagatsuma, Aleksandar Krastev, Eleni Vrochidou, J. David Nuñez-Gonzalez

Frontiers Robotics AI, 2021

A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education.

Maya Dimitrova, Hiroaki Wagatsuma, Aleksandar Krastev, Eleni Vrochidou, J. David Nuñez-Gonzalez

Frontiers Robotics AI, 2021

Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers.

Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado

Artif. Intell. Medicine, 2021

Digital and e-Learning Accessibility for People with Special Educational Needs: A Robotic Perspective.

Maya Dimitrova, Aleksandar Krastev, Negoslav Sabev, J. David Nuñez-Gonzalez

Proceedings of the 19th International Conference on Information Technology Based Higher Education and Training, 2021

2020

Introducing Active Methodologies in Renewable Energy Engineering Bachelor in Mathematical and Numerical Analysis Subject.

Oihana Aristondo, J. David Nuñez-Gonzalez, Manuel Graña

Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020

2019

Semantically enhanced network analysis for influencer identification in online social networks.

Sebastián A. Ríos, Felipe Aguilera, J. David Nuñez-Gonzalez, Manuel Graña

Neurocomputing, 2019

Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers.

Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Testing Modified Confusion Entropy as Split Criterion for Decision Trees.

J. David Nuñez-Gonzalez, Alexander Gonzalo de Sá, Manuel Graña

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018

Prelude of an Educational Innovation Project: Discussing a Redesign of the Continuous Assessment in Mathematics for Chemistry and Geology Bachelor Degree Students.

J. David Núñez-González, Manuel Graña, José Manuel López-Guede

Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Enhancing Confusion Entropy as Measure for Evaluating Classifiers.

Rosario Delgado, J. David Núñez-González

Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017

Predicting Trust in Wikipedia's Vote Network Using Social Networks measures.

J. David Nuñez-Gonzalez, Manuel Graña

Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

2016

A new heuristic for influence maximization in social networks.

J. David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michal Wozniak

Log. J. IGPL, 2016

2015

Reputation features for trust prediction in social networks.

J. David Nuñez-Gonzalez, Manuel Graña, Bruno Apolloni

Neurocomputing, 2015

Experiments of Trust Prediction in Social Networks by Artificial Neural Networks.

Manuel Graña, J. David Nuñez-Gonzalez, Leire Ozaeta, Anna Kaminska-Chuchmala

Cybern. Syst., 2015

Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks.

J. David Nuñez-Gonzalez, Manuel Graña

Proceedings of the Bioinspired Computation in Artificial Systems, 2015

An Instance of Social Intelligence in the Internet of Things: Bread Making Recipe Recommendation by ELM Regression.

Manuel Graña, J. David Nuñez-Gonzalez

Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

2014

Experiments on Trust Prediction Based on Reputation Features.

J. David Nuñez-Gonzalez, Manuel Graña

Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

On the Effect of High Order Reputation Information on Trust Prediction in Wikipedia's Vote Network.

J. David Nuñez-Gonzalez, Manuel Graña

Proceedings of the 2014 European Network Intelligence Conference, 2014

2013

A Discussion on Trust Requirements for a Social Network of Eahoukers.

Manuel Graña, J. David Nuñez-Gonzalez, Bruno Apolloni

Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013