Self-Organizing Symbolic Learned Rules. - Antonio Bahamonde; Enrique A. de la Cal; José Ranilla; Jaime Alonso 001 (IWANN, 1997)

Machine Learning Usefulness Relies on Accuracy and Self-Maintenance. - Oscar Luaces; Jaime Alonso 001; Enrique A. de la Cal; José Ranilla; Antonio Bahamonde (IEA/AIE (Vol. 2), 1998)

Optimizing Supply Strategies in the Spanish Electrical Market. - Enrique A. de la Cal Marín; Luciano Sánchez Ramos (IWANN (2), 2003)

Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market. - Enrique A. de la Cal Marín; Luciano Sánchez Ramos (Appl. Intell., 2004)

Energy Saving by Means of Fuzzy Systems. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano (IDEAL, 2007)

Minimizing Energy Consumption in Heating Systems under Uncertainty. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano (HAIS, 2008)

A Thermodynamical Model Study for an Energy Saving Algorithm. - Enrique A. de la Cal; José Ramón Villar 001; Javier Sedano (HAIS, 2009)

Improving Energy Efficiency in Buildings Using Machine Intelligence. - Javier Sedano; José Ramón Villar 001; Leticia Curiel; Enrique A. de la Cal; Emilio Corchado (IDEAL, 2009)

Efficiency in Electrical Heating Systems: An MAS Real World Application. - José Ramón Villar 001; Roberto Pérez; Enrique A. de la Cal; Javier Sedano (PAAMS, 2009)

A fuzzy logic based efficient energy saving approach for domestic heating systems. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano (Integr. Comput. Aided Eng., 2009)

Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training. - Enrique A. de la Cal; E. M. Fernández; Raquel Quiroga; José Ramón Villar 001; Javier Sedano (HAIS (2), 2010)

Analysing the Low Quality of the Data in Lighting Control Systems. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano; Marco Antonio García Tamargo (HAIS (1), 2010)

Modelling of Heat Flux in Building Using Soft-Computing Techniques. - Javier Sedano; José Ramón Villar 001; Leticia Curiel; Enrique A. de la Cal; Emilio Corchado (IEA/AIE (3), 2010)

Low Quality Data Management for Optimising Energy Efficiency in Distributed Agents. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano (PAAMS (Special Sessions and Workshops), 2010)

Evaluating the Low Quality Measurements in Lighting Control Systems. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano; Marco Antonio García Tamargo (SOCO, 2010)

Improving return using risk-return adjustment and incremental training in technical trading rules with GAPs. - Manuel E. Fernandez Garcia; Enrique A. de la Cal Marín; Raquel Quiroga Garcia (Appl. Intell., 2010)

A soft computing method for detecting lifetime building thermal insulation failures. - Javier Sedano; Leticia Curiel; Emilio Corchado; Enrique A. de la Cal; José Ramón Villar 001 (Integr. Comput. Aided Eng., 2010)

An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data. - Alba Berzosa; José Ramón Villar 001; Javier Sedano; Marco Antonio García Tamargo; Enrique A. de la Cal (HAIS (2), 2011)

Optimising operational costs using Soft Computing techniques. - Javier Sedano; Alba Berzosa; José Ramón Villar 001; Emilio Corchado; Enrique A. de la Cal (Integr. Comput. Aided Eng., 2011)

Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms. - Enrique A. de la Cal; José Ramón Villar 001; Marco Antonio García Tamargo; Javier Sedano (HAIS (2), 2012)

Learning and training techniques in fuzzy control for energy efficiency in buildings. - Javier Sedano; José Ramón Villar 001; Leticia Curiel; Emilio Corchado; Enrique A. de la Cal (Log. J. IGPL, 2012)

Multi-objective learning of white box models with low quality data. - José Ramón Villar 001; Alba Berzosa; Enrique A. de la Cal; Javier Sedano; Marco Antonio García Tamargo (Neurocomputing, 2012)

A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices. - Enrique A. de la Cal; José Ramón Villar 001; Paula M. Vergara; Javier Sedano; Álvaro Herrero 001 (SOCO, 2015)

Analyzing Accelerometer Data for Epilepsy Episode Recognition. - José Ramón Villar 001; Manuel Menéndez; Javier Sedano; Enrique A. de la Cal; Víctor M. González 002 (SOCO, 2015)

Simple heuristics for enhancing GP learning. - José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano; Marco Antonio García Tamargo (Log. J. IGPL, 2015)

Comparing ACO Approaches in Epilepsy Seizures. - Paula M. Vergara; José Ramón Villar 001; Enrique A. de la Cal; Manuel Menéndez; Javier Sedano (HAIS, 2016)

Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition. - Paula M. Vergara; José Ramón Villar 001; Enrique A. de la Cal; Manuel Menéndez; Javier Sedano (SOCO-CISIS-ICEUTE, 2016)

Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition. - José Ramón Villar 001; Paula M. Vergara; Manuel Menéndez; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano (Int. J. Neural Syst., 2016)

Pre-Clinical Study on the Detection of Simulated Epileptic Seizures. - Paula M. Vergara; José Ramón Villar 001; Enrique A. de la Cal; Manuel Menéndez; Javier Sedano (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

Spanish Road Fork Traffic Analysis and Modelling. - Irene Díaz; José Ramón Villar 001; Enrique A. de la Cal (HAIS, 2017)

A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets. - Enrique A. de la Cal; José Ramón Villar 001; Paula M. Vergara; Javier Sedano; Álvaro Herrero 001 (SOCO-CISIS-ICEUTE, 2017)

Identification of abnormal movements with 3D accelerometer sensors for seizure recognition. - José Ramón Villar 001; Manuel Menéndez; Enrique A. de la Cal; Javier Sedano; Víctor M. González 002 (J. Appl. Log., 2017)

An IoT Platform for Epilepsy Monitoring and Supervising. - Paula M. Vergara; Enrique A. de la Cal; José Ramón Villar 001; Víctor M. González 002; Javier Sedano (J. Sensors, 2017)

Evaluation of a Wrist-Based Wearable Fall Detection Method. - Samad Barri Khojasteh; José Ramón Villar 001; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano; Harun Resit Yazgan (HAIS, 2018)

Fall Detection Analysis Using a Real Fall Dataset. - Samad Barri Khojasteh; José Ramón Villar 001; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano (SOCO-CISIS-ICEUTE, 2018)

Improving Fall Detection Using an On-Wrist Wearable Accelerometer. - Samad Barri Khojasteh; José Ramón Villar 001; Camelia Chira; Víctor M. González 002; Enrique A. de la Cal (Sensors, 2018)

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines. - Iago Xabier Vázquez; José Ramón Villar 001; Javier Sedano; Svetlana Simic; Enrique A. de la Cal (HAIS, 2019)

Employing Blockchain Technology in Instructional Design and Learning Content Creation. - Frederick Ako-Nai; Qing Tan; Enrique Antonio de la Cal Marín (ICITL, 2019)

An Autonomous Fallers Monitoring Kit: Release 0.0. - Enrique A. de la Cal; Alvaro DaSilva; Mirko Fáñez; José Ramón Villar 001; Javier Sedano; Víctor M. González Suárez (ISDA, 2019)

DTW as Alignment Function in the Context of Time Series Balancing. - Enrique A. de la Cal; José Ramón Villar 001; Javier Sedano (SOCO, 2019)

Feature Clustering to Improve Fall Detection: A Preliminary Study. - Mirko Fáñez; José Ramón Villar 001; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano (SOCO, 2019)

Intelligent decision support to determine the best sensory guardrail locations. - Noelia Rico; Irene Díaz; José Ramón Villar 001; Enrique A. de la Cal (Neurocomputing, 2019)

User-centered fall detection using supervised, on-line learning and transfer learning. - José Ramón Villar 001; Enrique A. de la Cal; Mirko Fáñez; Víctor M. González 002; Javier Sedano (Prog. Artif. Intell., 2019)

A Simple Classification Ensemble for ADL and Falls. - Enrique A. de la Cal; Mirko Fáñez; Mario Villar; José Ramón Villar 001; Víctor M. González Suárez (HAIS, 2020)

Fall Detection Based on Local Peaks and Machine Learning. - José Ramón Villar 001; Mario Villar; Mirko Fáñez; Enrique A. de la Cal; Javier Sedano (HAIS, 2020)

A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset. - Enrique A. de la Cal; Mirko Fáñez; Alvaro DaSilva; José Ramón Villar 001; Javier Sedano; Víctor M. González Suárez (SOCO, 2020)

Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection. - Enol García González; José Ramón Villar 001; Enrique A. de la Cal (SOCO, 2020)

Transfer learning and information retrieval applied to fall detection. - Mirko Fáñez; José Ramón Villar 001; Enrique A. de la Cal; Javier Sedano; Víctor Manuel González Suárez (Expert Syst. J. Knowl. Eng., 2020)

Design issues in Time Series dataset balancing algorithms. - Enrique A. de la Cal; José Ramón Villar 001; Paula M. Vergara; Álvaro Herrero 001; Javier Sedano (Neural Comput. Appl., 2020)

Artificial Intelligence Decision and Validation Powered Smart Contract for Open Learning Content Creation. - Frederick Ako-Nai; Enrique A. de la Cal Marín; Qing Tan (BLOCKCHAIN, 2021)

Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks. - Enrique A. de la Cal; Enol García González; José Ramón Villar 001 (HAIS, 2021)

Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification. - Enrique A. de la Cal; Alberto Gallucci; José Ramón Villar 001; Kaori Yoshida; Mario Koeppen (HAIS, 2021)

A First Prototype of an Emotional Smart Speaker. - Enrique A. de la Cal; Alberto Gallucci; José Ramón Villar 001; Kaori Yoshida; Mario Koeppen (SOCO, 2021)

Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles. - Enol García González; José Ramón Villar 001; Enrique A. de la Cal (SOCO, 2021)

Editorial: Special issue HAIS 2018. - José Ramón Villar Flecha; Enrique A. de la Cal; Francisco Javier de Cos Juez; Héctor Quintián; Emilio Corchado (Log. J. IGPL, 2021)

Mixing user-centered and generalized models for Fall Detection. - Mirko Fáñez; José Ramón Villar 001; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano; Samad Barri Khojasteh (Neurocomputing, 2021)

An ensemble solution for multivariate time series clustering. - Iago Xabier Vázquez; José Ramón Villar 001; Javier Sedano; Svetlana Simic; Enrique A. de la Cal (Neurocomputing, 2021)

Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges. - José Ramón Villar 001; Camelia Chira; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano; Samad Barri Khojasteh (Neurocomputing, 2021)

Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation. - Enrique A. de la Cal; Mirko Fáñez; M. Dolores Apolo; Andrés García-Gómez; Víctor M. González 001 (HAIS, 2022)

A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models. - Enrique A. de la Cal; Javier Sedano; Alberto Gallucci; Paloma Valderde (SOCO, 2022)

Improving wearable-based fall detection with unsupervised learning. - Mirko Fáñez; José R. Villar 001; Enrique A. de la Cal; Víctor M. González 002; Javier Sedano (Log. J. IGPL, 2022)

Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference. - Enrique A. de la Cal; José R. Villar 001; Héctor Quintián; Emilio Corchado (Neurocomputing, 2022)

Towards effective detection of elderly falls with CNN-LSTM neural networks. - Enol García González; Mario Villar; Mirko Fáñez; José R. Villar 001; Enrique A. de la Cal; Sung-Bae Cho (Neurocomputing, 2022)

A Machine-Learning Based Approach to Validating Learning Materials. - Frederick Ako-Nai; Enrique A. de la Cal Marín; Qing Tan (CISIS-ICEUTE, 2023)

Intent Recognition Using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach. - Samson Mihirette; Qing Tan; Enrique Antonio de la Cal Marín (HAIS, 2023)

A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features. - Amable J. Valdés Cuervo; Elena Herrera; Enrique A. de la Cal (SOCO (2), 2023)

Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments. - Enol García González; José R. Villar 001; Camelia Chira; Enrique A. de la Cal; Luciano Sánchez; Javier Sedano (SOCO (2), 2023)

A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices. - Enrique A. de la Cal; Mirko Fáñez; Mario Villar; José R. Villar 001; Víctor M. González 002 (Log. J. IGPL, 2023)

UNED-UNIOVI at EmoSPeech-IberLEF2024: Emotion Identification in Spanish by Combining Multimodal Textual Analysis and Machine Learning Methods. - Juan Martínez-Romo; José Farnesio Huesca Barril; Lourdes Araujo; Enrique A. de la Cal Marín (IberLEF@SEPLN, 2024)

Human Acoustic Events Detection as Anomalies in Industrial Environments Using Shallow Unsupervised Techniques. - Mirko Fáñez; Enrique A. de la Cal; Javier Sedano; Juan Luis Carús Candás; Jairo Ramírez Ávila (SOCO (1), 2024)

Enhancing Legal Sentiment Analysis: A Convolutional Neural Network-Long Short-Term Memory Document-Level Model. - Bola Abimbola; Enrique A. de la Cal Marín; Qing Tan (Mach. Learn. Knowl. Extr., 2024)

Slime Mould Metaheuristic for optimization and robot path planning. - Enol García González; José R. Villar 001; Javier Sedano; Camelia Chira; Enrique A. de la Cal; Luciano Sánchez (Neurocomputing, 2025)

Cross-contextual stress prediction: Simple methodology for comparing features and sample domain adaptation techniques in vital sign analysis. - Samson Mihirette; Enrique A. de la Cal; Qing Tan; Javier Sedano (Appl. Intell., 2025)