Enrique A. de la Cal

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 39

Top Topics

Unsupervised Learning

Top Venues

Publications

Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José R. Villar, Víctor M. González
A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices. Log. J. IGPL 31 (2) (2023)
Enol García González, José R. Villar, Camelia Chira, Enrique A. de la Cal, Luciano Sánchez, Javier Sedano
Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments. SOCO (2) (2023)
Amable J. Valdés Cuervo, Elena Herrera, Enrique A. de la Cal
A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features. SOCO (2) (2023)
Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano
Improving wearable-based fall detection with unsupervised learning. Log. J. IGPL 30 (2) (2022)
Enrique A. de la Cal, Mirko Fáñez, M. Dolores Apolo, Andrés García-Gómez, Víctor M. González
Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation. HAIS (2022)
Enrique A. de la Cal, José R. Villar, Héctor Quintián, Emilio Corchado
Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference. Neurocomputing 502 (2022)
Enrique A. de la Cal, Javier Sedano, Alberto Gallucci, Paloma Valderde
A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models. SOCO (2022)
Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho
Towards effective detection of elderly falls with CNN-LSTM neural networks. Neurocomputing 500 (2022)
Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen
Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification. HAIS (2021)
Enol García González, José Ramón Villar, Enrique A. de la Cal
Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles. SOCO (2021)
Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh
Mixing user-centered and generalized models for Fall Detection. Neurocomputing 452 (2021)
José Ramón Villar, Camelia Chira, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh
Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges. Neurocomputing 452 (2021)
José Ramón Villar Flecha, Enrique A. de la Cal, Francisco Javier de Cos Juez, Héctor Quintián, Emilio Corchado
Editorial: Special issue HAIS 2018. Log. J. IGPL 29 (2) (2021)
Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen
A First Prototype of an Emotional Smart Speaker. SOCO (2021)
Iago Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal
An ensemble solution for multivariate time series clustering. Neurocomputing 457 (2021)
Enrique A. de la Cal, Enol García González, José Ramón Villar
Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks. HAIS (2021)
José Ramón Villar, Mario Villar, Mirko Fáñez, Enrique A. de la Cal, Javier Sedano
Fall Detection Based on Local Peaks and Machine Learning. HAIS (2020)
Enrique A. de la Cal, Mirko Fáñez, Alvaro DaSilva, José Ramón Villar, Javier Sedano, Víctor M. González Suárez
A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset. SOCO (2020)
Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Víctor Manuel González Suárez
Transfer learning and information retrieval applied to fall detection. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Álvaro Herrero, Javier Sedano
Design issues in Time Series dataset balancing algorithms. Neural Comput. Appl. 32 (5) (2020)
Enol García González, José Ramón Villar, Enrique A. de la Cal
Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection. SOCO (2020)
Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José Ramón Villar, Víctor M. González Suárez
A Simple Classification Ensemble for ADL and Falls. HAIS (2020)
Enrique A. de la Cal, Alvaro DaSilva, Mirko Fáñez, José Ramón Villar, Javier Sedano, Víctor M. González Suárez
An Autonomous Fallers Monitoring Kit: Release 0.0. ISDA (2019)
Iago Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal
A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines. HAIS (2019)
José Ramón Villar, Enrique A. de la Cal, Mirko Fáñez, Víctor M. González, Javier Sedano
User-centered fall detection using supervised, on-line learning and transfer learning. Prog. Artif. Intell. 8 (4) (2019)
Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano
Feature Clustering to Improve Fall Detection: A Preliminary Study. SOCO (2019)
Enrique A. de la Cal, José Ramón Villar, Javier Sedano
DTW as Alignment Function in the Context of Time Series Balancing. SOCO (2019)
Noelia Rico, Irene Díaz, José Ramón Villar, Enrique A. de la Cal
Intelligent decision support to determine the best sensory guardrail locations. Neurocomputing 354 (2019)
Samad Barri Khojasteh, José Ramón Villar, Camelia Chira, Víctor M. González, Enrique A. de la Cal
Improving Fall Detection Using an On-Wrist Wearable Accelerometer. Sensors 18 (5) (2018)
Samad Barri Khojasteh, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano
Fall Detection Analysis Using a Real Fall Dataset. SOCO-CISIS-ICEUTE (2018)
Samad Barri Khojasteh, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Harun Resit Yazgan
Evaluation of a Wrist-Based Wearable Fall Detection Method. HAIS (2018)
Irene Díaz, José Ramón Villar, Enrique A. de la Cal
Spanish Road Fork Traffic Analysis and Modelling. HAIS (2017)
Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Javier Sedano, Álvaro Herrero
A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets. SOCO-CISIS-ICEUTE (2017)
José Ramón Villar, Manuel Menéndez, Enrique A. de la Cal, Javier Sedano, Víctor M. González
Identification of abnormal movements with 3D accelerometer sensors for seizure recognition. J. Appl. Log. 24 (2017)
Paula M. Vergara, Enrique A. de la Cal, José Ramón Villar, Víctor M. González, Javier Sedano
An IoT Platform for Epilepsy Monitoring and Supervising. J. Sensors 2017 (2017)
Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano
Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition. SOCO-CISIS-ICEUTE (2016)
José Ramón Villar, Paula M. Vergara, Manuel Menéndez, Enrique A. de la Cal, Víctor M. González, Javier Sedano
Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition. Int. J. Neural Syst. 26 (6) (2016)
Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano
Pre-Clinical Study on the Detection of Simulated Epileptic Seizures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24 (Supplement-2) (2016)
Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano
Comparing ACO Approaches in Epilepsy Seizures. HAIS (2016)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
Simple heuristics for enhancing GP learning. Log. J. IGPL 23 (3) (2015)
Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Javier Sedano, Álvaro Herrero
A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices. SOCO (2015)
José Ramón Villar, Manuel Menéndez, Javier Sedano, Enrique A. de la Cal, Víctor M. González
Analyzing Accelerometer Data for Epilepsy Episode Recognition. SOCO (2015)
Enrique A. de la Cal, José Ramón Villar, Marco Antonio García Tamargo, Javier Sedano
Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms. HAIS (2) (2012)
José Ramón Villar, Alba Berzosa, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
Multi-objective learning of white box models with low quality data. Neurocomputing 75 (1) (2012)
Javier Sedano, José Ramón Villar, Leticia Curiel, Emilio Corchado, Enrique A. de la Cal
Learning and training techniques in fuzzy control for energy efficiency in buildings. Log. J. IGPL 20 (4) (2012)
Javier Sedano, Alba Berzosa, José Ramón Villar, Emilio Corchado, Enrique A. de la Cal
Optimising operational costs using Soft Computing techniques. Integr. Comput. Aided Eng. 18 (4) (2011)
Alba Berzosa, José Ramón Villar, Javier Sedano, Marco Antonio García Tamargo, Enrique A. de la Cal
An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data. HAIS (2) (2011)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano
Low Quality Data Management for Optimising Energy Efficiency in Distributed Agents. PAAMS (Special Sessions and Workshops) (2010)
Javier Sedano, Leticia Curiel, Emilio Corchado, Enrique A. de la Cal, José Ramón Villar
A soft computing method for detecting lifetime building thermal insulation failures. Integr. Comput. Aided Eng. 17 (2) (2010)
Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado
Modelling of Heat Flux in Building Using Soft-Computing Techniques. IEA/AIE (3) (2010)
Enrique A. de la Cal, E. M. Fernández, R. Quiroga, José Ramón Villar, Javier Sedano
Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training. HAIS (2) (2010)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
Analysing the Low Quality of the Data in Lighting Control Systems. HAIS (1) (2010)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
Evaluating the Low Quality Measurements in Lighting Control Systems. SOCO (2010)
Enrique A. de la Cal, José Ramón Villar, Javier Sedano
A Thermodynamical Model Study for an Energy Saving Algorithm. HAIS (2009)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano
A fuzzy logic based efficient energy saving approach for domestic heating systems. Integr. Comput. Aided Eng. 16 (2) (2009)
Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado
Improving Energy Efficiency in Buildings Using Machine Intelligence. IDEAL (2009)
José Ramón Villar, Roberto Pérez, Enrique A. de la Cal, Javier Sedano
Efficiency in Electrical Heating Systems: An MAS Real World Application. PAAMS (2009)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano
Minimizing Energy Consumption in Heating Systems under Uncertainty. HAIS (2008)
José Ramón Villar, Enrique A. de la Cal, Javier Sedano
Energy Saving by Means of Fuzzy Systems. IDEAL (2007)
Oscar Luaces, Jaime Alonso, Enrique A. de la Cal, José Ranilla, Antonio Bahamonde
Machine Learning Usefulness Relies on Accuracy and Self-Maintenance. IEA/AIE (Vol. 2) (1998)
Antonio Bahamonde, Enrique A. de la Cal, José Ranilla, Jaime Alonso
Self-Organizing Symbolic Learned Rules. IWANN (1997)