Enrique A. de la Cal

According to our database, Enrique A. de la Cal authored at least 68 papers between 1997 and 2023.

Collaborative distances:

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

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, Víctor M. González

Log. J. IGPL, March, 2023

Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments.

Enol García González, José R. Villar, Camelia Chira, Enrique A. de la Cal, Luciano Sánchez, Javier Sedano

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 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

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 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

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

A Machine-Learning Based Approach to Validating Learning Materials.

Frederick Ako-Nai, Enrique A. de la Cal Marín, Qing Tan

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022

Towards effective detection of elderly falls with CNN-LSTM neural networks.

Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho

Neurocomputing, 2022

Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference.

Enrique A. de la Cal, José R. Villar, Héctor Quintián, Emilio Corchado

Neurocomputing, 2022

Improving wearable-based fall detection with unsupervised learning.

Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano

Log. J. IGPL, 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

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

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

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021

Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges.

José Ramón Villar, Camelia Chira, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh

Neurocomputing, 2021

An ensemble solution for multivariate time series clustering.

Iago Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal

Neurocomputing, 2021

Mixing user-centered and generalized models for Fall Detection.

Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh

Neurocomputing, 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

Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles.

Enol García González, José Ramón Villar, Enrique A. de la Cal

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A First Prototype of an Emotional Smart Speaker.

Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification.

Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 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

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Artificial Intelligence Decision and Validation Powered Smart Contract for Open Learning Content Creation.

Frederick Ako-Nai, Enrique A. de la Cal Marín, Qing Tan

Proceedings of the Blockchain and Applications - 3rd International Congress, 2021

2020

Design issues in Time Series dataset balancing algorithms.

Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Álvaro Herrero, Javier Sedano

Neural Comput. Appl., 2020

Transfer learning and information retrieval applied to fall detection.

Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Víctor Manuel González Suárez

Expert Syst. J. Knowl. Eng., 2020

Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection.

Enol García González, José Ramón Villar, Enrique A. de la Cal

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 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, Javier Sedano, Víctor M. González Suárez

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Fall Detection Based on Local Peaks and Machine Learning.

José Ramón Villar, Mario Villar, Mirko Fáñez, Enrique A. de la Cal, Javier Sedano

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

A Simple Classification Ensemble for ADL and Falls.

Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José Ramón Villar, Víctor M. González Suárez

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

User-centered fall detection using supervised, on-line learning and transfer learning.

José Ramón Villar, Enrique A. de la Cal, Mirko Fáñez, Víctor M. González, Javier Sedano

Prog. Artif. Intell., 2019

Intelligent decision support to determine the best sensory guardrail locations.

Noelia Rico, Irene Díaz, José Ramón Villar, Enrique A. de la Cal

Neurocomputing, 2019

Feature Clustering to Improve Fall Detection: A Preliminary Study.

Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

DTW as Alignment Function in the Context of Time Series Balancing.

Enrique A. de la Cal, José Ramón Villar, Javier Sedano

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

An Autonomous Fallers Monitoring Kit: Release 0.0.

Enrique A. de la Cal, Alvaro DaSilva, Mirko Fáñez, José Ramón Villar, Javier Sedano, Víctor M. González Suárez

Proceedings of the Intelligent Systems Design and Applications, 2019

Employing Blockchain Technology in Instructional Design and Learning Content Creation.

Frederick Ako-Nai, Qing Tan, Enrique Antonio de la Cal Marín

Proceedings of the Innovative Technologies and Learning - Second International Conference, 2019

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines.

Iago Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal

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

2018

Improving Fall Detection Using an On-Wrist Wearable Accelerometer.

Samad Barri Khojasteh, José Ramón Villar, Camelia Chira, Víctor M. González, Enrique A. de la Cal

Sensors, 2018

Fall Detection Analysis Using a Real Fall Dataset.

Samad Barri Khojasteh, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano

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

Evaluation of a Wrist-Based Wearable Fall Detection Method.

Samad Barri Khojasteh, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Harun Resit Yazgan

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017

An IoT Platform for Epilepsy Monitoring and Supervising.

Paula M. Vergara, Enrique A. de la Cal, José Ramón Villar, Víctor M. González, Javier Sedano

J. Sensors, 2017

Identification of abnormal movements with 3D accelerometer sensors for seizure recognition.

José Ramón Villar, Manuel Menéndez, Enrique A. de la Cal, Javier Sedano, Víctor M. González

J. Appl. Log., 2017

A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets.

Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Javier Sedano, Álvaro Herrero

Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Spanish Road Fork Traffic Analysis and Modelling.

Irene Díaz, José Ramón Villar, Enrique A. de la Cal

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2016

Pre-Clinical Study on the Detection of Simulated Epileptic Seizures.

Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition.

José Ramón Villar, Paula M. Vergara, Manuel Menéndez, Enrique A. de la Cal, Víctor M. González, Javier Sedano

Int. J. Neural Syst., 2016

Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition.

Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano

Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Comparing ACO Approaches in Epilepsy Seizures.

Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015

Simple heuristics for enhancing GP learning.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo

Log. J. IGPL, 2015

Analyzing Accelerometer Data for Epilepsy Episode Recognition.

José Ramón Villar, Manuel Menéndez, Javier Sedano, Enrique A. de la Cal, Víctor M. González

Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices.

Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Javier Sedano, Álvaro Herrero

Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

2012

Multi-objective learning of white box models with low quality data.

José Ramón Villar, Alba Berzosa, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo

Neurocomputing, 2012

Learning and training techniques in fuzzy control for energy efficiency in buildings.

Javier Sedano, José Ramón Villar, Leticia Curiel, Emilio Corchado, Enrique A. de la Cal

Log. J. IGPL, 2012

Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms.

Enrique A. de la Cal, José Ramón Villar, Marco Antonio García Tamargo, Javier Sedano

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011

Optimising operational costs using Soft Computing techniques.

Javier Sedano, Alba Berzosa, José Ramón Villar, Emilio Corchado, Enrique A. de la Cal

Integr. Comput. Aided Eng., 2011

An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data.

Alba Berzosa, José Ramón Villar, Javier Sedano, Marco Antonio García Tamargo, Enrique A. de la Cal

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

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

Integr. Comput. Aided Eng., 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

Evaluating the Low Quality Measurements in Lighting Control Systems.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2010

Low Quality Data Management for Optimising Energy Efficiency in Distributed Agents.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano

Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2010

Modelling of Heat Flux in Building Using Soft-Computing Techniques.

Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado

Proceedings of the Trends in Applied Intelligent Systems, 2010

Analysing the Low Quality of the Data in Lighting Control Systems.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

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, Javier Sedano

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009

A fuzzy logic based efficient energy saving approach for domestic heating systems.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano

Integr. Comput. Aided Eng., 2009

Efficiency in Electrical Heating Systems: An MAS Real World Application.

José Ramón Villar, Roberto Pérez, Enrique A. de la Cal, Javier Sedano

Proceedings of the 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2009

Improving Energy Efficiency in Buildings Using Machine Intelligence.

Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

A Thermodynamical Model Study for an Energy Saving Algorithm.

Enrique A. de la Cal, José Ramón Villar, Javier Sedano

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008

Minimizing Energy Consumption in Heating Systems under Uncertainty.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2007

Energy Saving by Means of Fuzzy Systems.

José Ramón Villar, Enrique A. de la Cal, Javier Sedano

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2004

Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market.

Enrique A. de la Cal Marín, Luciano Sánchez Ramos

Appl. Intell., 2004

2003

Optimizing Supply Strategies in the Spanish Electrical Market.

Enrique A. de la Cal Marín, Luciano Sánchez Ramos

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

1998

Machine Learning Usefulness Relies on Accuracy and Self-Maintenance.

Oscar Luaces, Jaime Alonso, Enrique A. de la Cal, José Ranilla, Antonio Bahamonde

Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

1997

Self-Organizing Symbolic Learned Rules.

Antonio Bahamonde, Enrique A. de la Cal, José Ranilla, Jaime Alonso

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997