A Discussion on Trust Requirements for a Social Network of Eahoukers. - Manuel Graña; J. David Nuñez-Gonzalez; Bruno Apolloni (HAIS, 2013)

On the Effect of High Order Reputation Information on Trust Prediction in Wikipedia's Vote Network. - J. David Nuñez-Gonzalez; Manuel Graña (ENIC, 2014)

Experiments on Trust Prediction Based on Reputation Features. - J. David Nuñez-Gonzalez; Manuel Graña (SOCO-CISIS-ICEUTE, 2014)

An Instance of Social Intelligence in the Internet of Things: Bread Making Recipe Recommendation by ELM Regression. - Manuel Graña; J. David Nuñez-Gonzalez (HAIS, 2015)

Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks. - J. David Nuñez-Gonzalez; Manuel Graña (IWINAC (2), 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)

Reputation features for trust prediction in social networks. - J. David Nuñez-Gonzalez; Manuel Graña; Bruno Apolloni (Neurocomputing, 2015)

A new heuristic for influence maximization in social networks. - J. David Nuñez-Gonzalez; Borja Ayerdi; Manuel Graña; Michal Wozniak 001 (Log. J. IGPL, 2016)

Predicting Trust in Wikipedia's Vote Network Using Social Networks measures. - J. David Nuñez-Gonzalez; Manuel Graña (IWINAC (2), 2017)

Enhancing Confusion Entropy as Measure for Evaluating Classifiers. - Rosario Delgado; J. David Núñez-González (SOCO-CISIS-ICEUTE, 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 (SOCO-CISIS-ICEUTE, 2018)

Testing Modified Confusion Entropy as Split Criterion for Decision Trees. - J. David Nuñez-Gonzalez; Alexander Gonzalo de Sá; Manuel Graña (HAIS, 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 (LOD, 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)

Introducing Active Methodologies in Renewable Energy Engineering Bachelor in Mathematical and Numerical Analysis Subject. - Oihana Aristondo; J. David Nuñez-Gonzalez; Manuel Graña (ICEUTE, 2020)

Digital and e-Learning Accessibility for People with Special Educational Needs: A Robotic Perspective. - Maya Dimitrova; Aleksandar Krastev; Negoslav Sabev; J. David Nuñez-Gonzalez (ITHET, 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)

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)

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)

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 (SOCO, 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)

Reviewing and Discussing Graph Reduction in Edge Computing Context. - Asier Garmendia-Orbegozo; J. David Nuñez-Gonzalez; Miguel Ángel Antón (Comput., 2022)

Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach. - Hilal Alawneh; Jose David Nuñez-Gonzalez; Manuel Graña (HAIS, 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 (HAIS, 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, 2023)

Development of AI-Based Tools for Power Generation Prediction. - Ana Paula Aravena-Cifuentes; Jose David Nuñez-Gonzalez; Andoni Elola; Malinka Ivanova (Comput., 2023)

Brainstorming on Dataset Reduction from an Heuristic Bioinspired Green Computing Approach. - Ana Paula Aravena-Cifuentes; Lucia Porlan-Ferrando; J. David Nuñez-Gonzalez; Manuel Graña (IWINAC (2), 2024)

Predicting Power Generation from Photovoltaic Energy System. - Ana Paula Aravena-Cifuentes; J. David Nuñez-Gonzalez; Daniel Morejón Roldán; Junior Altamiranda; Manuel Graña (SOCO (1), 2024)