Development of an artificial neural network for helping to diagnose diseases in urology. - Antonio Soriano Payá; Daniel Ruiz Fernández; David Gil Méndez; Carlos Alberto Montejo Hernández (BIONETICS, 2006)

Embedded system for diagnosing dysfunctions in the lower urinary tract. - David Gil; Antonio Soriano Payá; Daniel Ruiz Fernández; Carlos Alberto Montejo Hernández (SAC, 2007)

Artificial Neural Networks for Diagnoses of Dysfunctions in Urology. - David Gil Méndez; Magnus Johnsson; Antonio Soriano Payá; Daniel Ruiz Fernández (HEALTHINF (2), 2008)

Application of artificial neural networks in the diagnosis of urological dysfunctions. - David Gil Méndez; Magnus Johnsson; Juan Manuel García Chamizo; Antonio Soriano Payá; Daniel Ruiz Fernández (Expert Syst. Appl., 2009)

Decision Support System for the Diagnosis of Urological Dysfunctions Based on Fuzzy Logic. - David Gil Méndez; Magnus Johnsson; Juan Manuel García Chamizo; Antonio Soriano Payá; Daniel Ruiz Fernández (DCAI, 2010)

Using support vector machines in diagnoses of urological dysfunctions. - David Gil Méndez; Magnus Johnsson (Expert Syst. Appl., 2010)

Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network. - David Gil Méndez; José García Rodríguez 001; Miguel Cazorla; Magnus Johnsson (IJCNN, 2011)

Using 3D GNG-based reconstruction for 6DoF egomotion. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla; David Gil Méndez; Magnus Johnsson (IJCNN, 2011)

Internal Simulation in a Bimodal System. - Magnus Johnsson; David Gil Méndez; Germund Hesslow; Christian Balkenius (SCAI, 2011)

Modelling of urological dysfunctions with neurological etiology by means of their centres involved. - David Gil Méndez; Magnus Johnsson; Juan Manuel García Chamizo; Antonio Soriano Payá; Daniel Ruiz Fernández (Appl. Soft Comput., 2011)

First International Workshop on Modeling for Data-Intensive Computing. - David Gil; Juan Trujillo 001; Il-Yeol Song (ER Workshops, 2012)

Predicting seminal quality with artificial intelligence methods. - David Gil Méndez; Jose Luis Girela; Joaquín de Juan; M. Jose Gomez-Torres; Magnus Johnsson (Expert Syst. Appl., 2012)

Using GNG to improve 3D feature extraction - Application to 6DoF egomotion. - Diego Viejo; José García Rodríguez 001; Miguel Cazorla; David Gil Méndez; Magnus Johnsson (Neural Networks, 2012)

Mathematical modelling of the lower urinary tract. - Antonio Soriano Payá; Daniel Ruiz Fernández; David Gil Méndez; Juan Manuel García Chamizo; Francisco Maciá Pérez (Comput. Methods Programs Biomed., 2013)

Fertility. - David Gil; Jose Luis Girela (UCI Machine Learning Repository, 2013)

A Belief System's Organization Based on a Computational Model of the Dynamic Context: First Approximation. - María Teresa Signes Pont; Higinio Mora Mora; Jorge Azorín López; David Gil Méndez (Cybern. Syst., 2015)

A Novel Multidimensional Approach to Integrate Big Data in Business Intelligence. - Alejandro Maté; Hector Llorens; Elisa de Gregorio; Roberto Tardío; David Gil; Rafael Muñoz-Terol; Juan Trujillo 001 (J. Database Manag., 2015)

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm. - Higinio Mora Mora; David Gil; José Francisco Colom López; María Teresa Signes Pont (Mob. Inf. Syst., 2015)

SARASOM: a supervised architecture based on the recurrent associative SOM. - David Gil Méndez; José García Rodríguez 001; Miguel Cazorla; Magnus Johnsson (Neural Comput. Appl., 2015)

A Computational Architecture Based on RFID Sensors for Traceability in Smart Cities. - Higinio Mora Mora; Virgilio Gilart-Iglesias; David Gil; Alejandro Sirvent-Llamas (Sensors, 2015)

Big Data trends: Modelling, Management and Visualization. - David Gil; Juan Trujillo 001; Il-Yeol Song (Expert Syst. J. Knowl. Eng., 2016)

Modeling and Management of Big Data: Challenges and opportunities. - David Gil; Il-Yeol Song (Future Gener. Comput. Syst., 2016)

A hybrid integrated architecture for energy consumption prediction. - Alejandro Maté; Jesús Peral; Antonio Ferrández; David Gil; Juan Trujillo 001 (Future Gener. Comput. Syst., 2016)

Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services. - David Gil; Antonio Ferrández; Higinio Mora Mora; Jesús Peral (Sensors, 2016)

A Proposal for a Distributed Computational Framework in IoT Context. - Higinio Mora Mora; María Teresa Signes Pont; David Gil Méndez; Francisco Javier Ferrández Pastor (UCAmI, 2017)

Collaborative building of behavioural models based on internet of things. - José Francisco Colom López; Higinio Mora Mora; David Gil; María Teresa Signes Pont (Comput. Electr. Eng., 2017)

Distributed computational model for shared processing on Cyber-Physical System environments. - Higinio Mora Mora; José Francisco Colom López; David Gil; Antonio Jimeno-Morenilla (Comput. Commun., 2017)

Big Data. New approaches of modelling and management. - David Gil; Il-Yeol Song; José Francisco Aldana Montes; Juan Trujillo 001 (Comput. Stand. Interfaces, 2017)

An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments. - Higinio Mora Mora; David Gil; Rafael M. Terol; Jorge Azorín López; Julian Szymanski (Sensors, 2017)

Detection of the Bee Queen Presence Using Sound Analysis. - Tymoteusz Cejrowski; Julian Szymanski; Higinio Mora Mora; David Gil (ACIIDS (2), 2018)

Text Categorization Improvement via User Interaction. - Jakub Atroszko; Julian Szymanski; David Gil; Higinio Mora Mora (ICAISC (2), 2018)

Architecture for Efficient String Dictionaries in E-Learning. - Antonio Ferrández; Jesús Peral; Higinio Mora Mora; David Gil (UCAmI, 2018)

An Ontology-Oriented Architecture for Dealing With Heterogeneous Data Applied to Telemedicine Systems. - Jesús Peral Cortés; Antonio Ferrández Rodríguez; David Gil; Rafael Muñoz-Terol; Higinio Mora Mora (IEEE Access, 2018)

Identifying central and peripheral nerve fibres with an artificial intelligence approach. - David Gil; Jose Luis Girela; Jorge Azorín López; Alba De Juan; Joaquín de Juan (Appl. Soft Comput., 2018)

Scheduling framework for distributed intrusion detection systems over heterogeneous network architectures. - José Francisco Colom López; David Gil; Higinio Mora Mora; Bruno Volckaert; Antonio Jimeno-Morenilla (J. Netw. Comput. Appl., 2018)

Collaborative Working Architecture for IoT-Based Applications. - Higinio Mora Mora; María Teresa Signes Pont; David Gil; Magnus Johnsson (Sensors, 2018)

Low-Power WSN System for Honey Bee Monitoring. - Tymoteusz Cejrowski; Julian Szymanski; Andrzej Sobecki; David Gil; Higinio Mora (ICMU, 2019)

A Hybrid Machine Learning Approach for the Prediction of Grades in Computer Engineering Students. - Diego Buenaño-Fernández; Sergio Luján-Mora; David Gil (RIIFORUM, 2019)

A Step Further in Sentiment Analysis Application in Marketing Decision-Making. - Erick Kauffmann; David Gil; Jesús Peral; Antonio Ferrández; Ricardo Sellers (RIIFORUM, 2019)

Fire Science Living Lab for Flashover Prediction. - Daniel Cortés; David Gil; Jorge Azorín López (UCAmI, 2019)

A Review of the Analytics Techniques for an Efficient Management of Online Forums: An Architecture Proposal. - Jesús Peral Cortés; Antonio Ferrández; Higinio Mora Mora; David Gil; Erick Kauffmann (IEEE Access, 2019)

Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities. - Higinio Mora Mora; Jesús Peral Cortés; Antonio Ferrández Rodríguez; David Gil; Julian Szymanski (IEEE Access, 2019)

Review of the Complexity of Managing Big Data of the Internet of Things. - David Gil; Magnus Johnsson; Higinio Mora Mora; Julian Szymanski (Complex., 2019)

Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems. - David Gil; Magnus Johnsson; Higinio Mora Mora; Julian Szymanski (Complex., 2019)

Deep learning in the fog. - Andrzej Sobecki; Julian Szymanski; David Gil; Higinio Mora (Int. J. Distributed Sens. Networks, 2019)

In-Bed Posture Classification from Pressure Mat Sensors for the Prevention of Pressure Ulcers Using Convolutional Neural Networks. - Aurora Polo Rodríguez; David Gil; Chris D. Nugent; Javier Medina Quero (IWBBIO, 2020)

Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach. - Diego Buenaño-Fernández; Mario González 001; David Gil; Sergio Luján-Mora (IEEE Access, 2020)

A Machine Learning Approach to Reduce Dimensional Space in Large Datasets. - Rafael Muñoz-Terol; Alejandro Reina; Saber Ziaei; David Gil (IEEE Access, 2020)

Framework for Integration Decentralized and Untrusted Multi-Vendor IoMT Environments. - Andrzej Sobecki; Julian Szymanski; David Gil; Higinio Mora (IEEE Access, 2020)

Embedded Representations of Wikipedia Categories. - Jan Majkutewicz; Julian Szymanski; Andrzej Sobecki; Higinio Mora; David Gil (CEC, 2021)

Architecture Based on Machine Learning Techniques and Data Mining for Prediction of Indicators in the Diagnosis and Intervention of Autistic Spectrum Disorder. - David Gil; Magnus Johnsson; Julian Szymanski; Jesús Peral; Mohan Tanniru (RIIFORUM, 2021)

Improvement of a Sign Language Learning Reinforcement Tool Through Phonological Proximity. - Luis Naranjo-Zeledón; Mario Chacón-Rivas; Jesús Peral; Antonio Ferrández; David Gil (RIIFORUM, 2021)

A Mobile Application with Geolocation and Virtual Rewards for Promoting Social Skills in People with Social Disorders. - Aurora Polo Rodríguez; Javier Medina Quero; Magnus Johnsson; David Gil; Ignasi Navarro (RIIFORUM, 2021)

Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder. - María del Mar Guillén; Sandra Amador; Jesús Peral; David Gil; Aya Elouali (UCAmI, 2022)

Challenges and Opportunities for the Recognition of Human Activity in Supervised Flats. - Ángel Lloret; Juan Carlos Valera; David Gil; Jesús Peral; Antonio Ferrández; Sandra Amador (UCAmI, 2022)

Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges. - Jon González-Ramos; Noelia Uribe-Pérez; Alberto Sendin; David Gil; David de la Vega; Igor Fernandez; Ignacio Javier Núñez (Sensors, 2022)

Novel Distributed Informatics Platform to Support Machine Learning Discovery of Metabolic Biomarkers in Hypoxia Predisposition. - Anthony Stell; Vedant Chauhan; Sandra Amador; Felix Beuschlein; Judith Favier; David Gil; Philip Greenwood; Ronald de Krijger; Matthias Kroiss; Samanta Ortuno; Attila Patocs; Axel Walch (HEALTHINF, 2023)

Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review. - Sandra Amador; José Perona; Claudia Villalonga; Jorge Azorin; Oresti Banos; David Gil (IWANN (2), 2023)

A Deep Transfer Learning Approach to Support Opportunistic Wearable Activity Recognition. - Oresti Banos; David Gil; Javier Medina 001; Adrian Sanchez; Claudia Villalonga (IWANN (1), 2023)

Meta-Learning on Clinical Data for Diagnosis Support Systems: A Systematic Review. - Sandra Amador; Higinio Mora; David Gil; Tamai Ramírez-Gordillo (RIIFORUM, 2023)

Human-Centric Solutions and AI in the Smart City Context: The Industry 5.0 Perspective. - Tamai Ramírez-Gordillo; Higinio Mora; Antonio Maciá-Lillo; Sandra Amador; David Gil (RIIFORUM, 2023)

Meta-learning. An Approach Applied to Clinical Data. - Sandra Amador; Kelly Turbay; Alicia Montoro; Macarena Espinilla; Higinio Mora; David Gil (UCAmI (2), 2023)

New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors. - Jesús González Lama; Alicia Montoro; Macarena Espinilla; Juan Carlos Valera; David Gil; Jesús Peral; Magnus Johnsson (UCAmI (1), 2023)

A Model to Support the Prediction of Indicators in the Diagnosis and Intervention of Autism Spectrum Disorder. - Vanessa Ramos; Tania Mondéjar; Antonio Ferrández; Jesús Peral; David Gil; Higinio Mora (UCAmI (2), 2023)

Discovering Social Interactions Between Caregivers and Frail Individuals Using Indoor Localization. - Aurora Polo Rodríguez; Miguel Á. Anguita-Molina; David Gil; Jose Romero; Elena Fernández; Olga Paloma-Castro; Ana-María Porcel-Gálvez; Javier Medina Quero (UCAmI, 2024)

Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review. - Oresti Banos; Zhoe Comas-Gonzalez; Javier Medina 001; Aurora Polo Rodríguez; David Gil; Jesús Peral; Sandra Amador; Claudia Villalonga (Int. J. Medical Informatics, 2024)

CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence? - Antonio Ferrández; Rocío Lavigne-Cerván; Jesús Peral; Ignasi Navarro-Soria; Ángel Lloret; David Gil; Carmen Rocamora (PeerJ Comput. Sci., 2024)

Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models. - Aurora Polo Rodríguez; Juan Carlos Valera; Jesús Peral; David Gil; Javier Medina Quero (Multim. Tools Appl., 2025)