Enrique A. de la Cal

69 papers C 3Misc 16Journal 25Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cross-contextual stress prediction: Simple methodology for comparing features and sample domain adaptation techniques in vital sign analysis. Appl. Intell. Samson Mihirette, Enrique A. de la Cal, Qing Tan, Javier Sedano
2025	J	`jnl`	Slime Mould Metaheuristic for optimization and robot path planning. Neurocomputing Enol García González, José R. Villar, Javier Sedano, Camelia Chira, Enrique A. de la Cal, Luciano Sánchez
2024	—	`conf`	Human Acoustic Events Detection as Anomalies in Industrial Environments Using Shallow Unsupervised Techniques. SOCO (1) Mirko Fáñez, Enrique A. de la Cal, Javier Sedano, Juan Luis Carús Candás, Jairo Ramírez Ávila
2023	—	`ed.`	17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings SOCO Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodríguez
2023	—	`conf`	A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features. SOCO (2) Amable J. Valdés Cuervo, Elena Herrera, Enrique A. de la Cal
2023	J	`jnl`	A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices. Log. J. IGPL Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José R. Villar, Víctor M. González
2023	—	`ed.`	International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022) - Proceedings, Salamanca, Spain, 5-7 September. CISIS-ICEUTE Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
2023	—	`conf`	Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments. SOCO (2) Enol García González, José R. Villar, Camelia Chira, Enrique A. de la Cal, Luciano Sánchez, Javier Sedano
2022	—	`conf`	A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models. SOCO Enrique A. de la Cal, Javier Sedano, Alberto Gallucci, Paloma Valderde
2022	Misc	`ed.`	Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings HAIS Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
2022	J	`jnl`	Improving wearable-based fall detection with unsupervised learning. Log. J. IGPL Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano
2022	Misc	`conf`	Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation. HAIS Enrique A. de la Cal, Mirko Fáñez, M. Dolores Apolo, Andrés García-Gómez, Víctor M. González
2022	J	`jnl`	Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference. Neurocomputing Enrique A. de la Cal, José R. Villar, Héctor Quintián, Emilio Corchado
2022	J	`jnl`	Towards effective detection of elderly falls with CNN-LSTM neural networks. Neurocomputing Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho
2021	—	`conf`	A First Prototype of an Emotional Smart Speaker. SOCO Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen
2021	J	`jnl`	An ensemble solution for multivariate time series clustering. Neurocomputing Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal
2021	J	`jnl`	Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges. Neurocomputing José Ramón Villar, Camelia Chira, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh
2021	J	`jnl`	Editorial: Special issue HAIS 2018. Log. J. IGPL José Ramón Villar Flecha, Enrique A. de la Cal, Francisco Javier de Cos Juez, Héctor Quintián, Emilio Corchado
2021	—	`conf`	Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles. SOCO Enol García González, José Ramón Villar, Enrique A. de la Cal
2021	J	`jnl`	Mixing user-centered and generalized models for Fall Detection. Neurocomputing Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh
2021	Misc	`conf`	Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification. HAIS Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen
2021	Misc	`conf`	Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks. HAIS Enrique A. de la Cal, Enol García González, José Ramón Villar
2020	—	`conf`	A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset. SOCO Enrique A. de la Cal, Mirko Fáñez, Alvaro DaSilva, José Ramón Villar, Javier Sedano, Víctor M. González Suárez
2020	Misc	`conf`	A Simple Classification Ensemble for ADL and Falls. HAIS Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José Ramón Villar, Víctor M. González Suárez
2020	J	`jnl`	Design issues in Time Series dataset balancing algorithms. Neural Comput. Appl. Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Álvaro Herrero, Javier Sedano
2020	Misc	`conf`	Fall Detection Based on Local Peaks and Machine Learning. HAIS José Ramón Villar, Mario Villar, Mirko Fáñez, Enrique A. de la Cal, Javier Sedano
2020	Misc	`ed.`	Hybrid Artificial Intelligent Systems - 15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings HAIS Enrique A. de la Cal, José Ramón Villar Flecha, Héctor Quintián, Emilio Corchado
2020	—	`conf`	Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection. SOCO Enol García González, José Ramón Villar, Enrique A. de la Cal
2020	J	`jnl`	Transfer learning and information retrieval applied to fall detection. Expert Syst. J. Knowl. Eng. Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Víctor Manuel González Suárez
2019	Misc	`conf`	A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines. HAIS Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal
2019	C	`conf`	An Autonomous Fallers Monitoring Kit: Release 0.0. ISDA Enrique A. de la Cal, Alvaro DaSilva, Mirko Fáñez, José Ramón Villar, Javier Sedano, Víctor M. González Suárez
2019	—	`conf`	DTW as Alignment Function in the Context of Time Series Balancing. SOCO Enrique A. de la Cal, José Ramón Villar, Javier Sedano
2019	—	`conf`	Feature Clustering to Improve Fall Detection: A Preliminary Study. SOCO Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano
2019	J	`jnl`	Intelligent decision support to determine the best sensory guardrail locations. Neurocomputing Noelia Rico, Irene Díaz, José Ramón Villar, Enrique A. de la Cal
2019	J	`jnl`	User-centered fall detection using supervised, on-line learning and transfer learning. Prog. Artif. Intell. José Ramón Villar, Enrique A. de la Cal, Mirko Fáñez, Víctor M. González, Javier Sedano
2018	Misc	`conf`	Evaluation of a Wrist-Based Wearable Fall Detection Method. HAIS Samad Barri Khojasteh, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Harun Resit Yazgan
2018	—	`conf`	Fall Detection Analysis Using a Real Fall Dataset. SOCO-CISIS-ICEUTE Samad Barri Khojasteh, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano
2018	Misc	`ed.`	Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings HAIS Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José Antonio Sáez, Emilio Corchado
2018	J	`jnl`	Improving Fall Detection Using an On-Wrist Wearable Accelerometer. Sensors Samad Barri Khojasteh, José Ramón Villar, Camelia Chira, Víctor M. González, Enrique A. de la Cal
2017	—	`conf`	A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets. SOCO-CISIS-ICEUTE Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Javier Sedano, Álvaro Herrero
2017	J	`jnl`	An IoT Platform for Epilepsy Monitoring and Supervising. J. Sensors Paula M. Vergara, Enrique A. de la Cal, José Ramón Villar, Víctor M. González, Javier Sedano
2017	J	`jnl`	Identification of abnormal movements with 3D accelerometer sensors for seizure recognition. J. Appl. Log. José Ramón Villar, Manuel Menéndez, Enrique A. de la Cal, Javier Sedano, Víctor M. González
2017	Misc	`conf`	Spanish Road Fork Traffic Analysis and Modelling. HAIS Irene Díaz, José Ramón Villar, Enrique A. de la Cal
2016	Misc	`conf`	Comparing ACO Approaches in Epilepsy Seizures. HAIS Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano
2016	J	`jnl`	Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition. Int. J. Neural Syst. José Ramón Villar, Paula M. Vergara, Manuel Menéndez, Enrique A. de la Cal, Víctor M. González, Javier Sedano
2016	—	`conf`	Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition. SOCO-CISIS-ICEUTE Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano
2016	J	`jnl`	Pre-Clinical Study on the Detection of Simulated Epileptic Seizures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano
2015	—	`conf`	A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices. SOCO Enrique A. de la Cal, José Ramón Villar, Paula M. Vergara, Javier Sedano, Álvaro Herrero
2015	—	`conf`	Analyzing Accelerometer Data for Epilepsy Episode Recognition. SOCO José Ramón Villar, Manuel Menéndez, Javier Sedano, Enrique A. de la Cal, Víctor M. González
2015	J	`jnl`	Simple heuristics for enhancing GP learning. Log. J. IGPL José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
2012	—	`conf`	Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms. HAIS (2) Enrique A. de la Cal, José Ramón Villar, Marco Antonio García Tamargo, Javier Sedano
2012	J	`jnl`	Learning and training techniques in fuzzy control for energy efficiency in buildings. Log. J. IGPL Javier Sedano, José Ramón Villar, Leticia Curiel, Emilio Corchado, Enrique A. de la Cal
2012	J	`jnl`	Multi-objective learning of white box models with low quality data. Neurocomputing José Ramón Villar, Alba Berzosa, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
2011	—	`conf`	An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data. HAIS (2) Alba Berzosa, José Ramón Villar, Javier Sedano, Marco Antonio García Tamargo, Enrique A. de la Cal
2011	J	`jnl`	Optimising operational costs using Soft Computing techniques. Integr. Comput. Aided Eng. Javier Sedano, Alba Berzosa, José Ramón Villar, Emilio Corchado, Enrique A. de la Cal
2010	J	`jnl`	A soft computing method for detecting lifetime building thermal insulation failures. Integr. Comput. Aided Eng. Javier Sedano, Leticia Curiel, Emilio Corchado, Enrique A. de la Cal, José Ramón Villar
2010	—	`conf`	Analysing the Low Quality of the Data in Lighting Control Systems. HAIS (1) José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
2010	—	`conf`	Evaluating the Low Quality Measurements in Lighting Control Systems. SOCO José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Marco Antonio García Tamargo
2010	—	`conf`	Low Quality Data Management for Optimising Energy Efficiency in Distributed Agents. PAAMS (Special Sessions and Workshops) José Ramón Villar, Enrique A. de la Cal, Javier Sedano
2010	—	`conf`	Modelling of Heat Flux in Building Using Soft-Computing Techniques. IEA/AIE (3) Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado
2010	—	`conf`	Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training. HAIS (2) Enrique A. de la Cal, E. M. Fernández, Raquel Quiroga, José Ramón Villar, Javier Sedano
2009	Misc	`conf`	A Thermodynamical Model Study for an Energy Saving Algorithm. HAIS Enrique A. de la Cal, José Ramón Villar, Javier Sedano
2009	J	`jnl`	A fuzzy logic based efficient energy saving approach for domestic heating systems. Integr. Comput. Aided Eng. José Ramón Villar, Enrique A. de la Cal, Javier Sedano
2009	Misc	`conf`	Efficiency in Electrical Heating Systems: An MAS Real World Application. PAAMS José Ramón Villar, Roberto Pérez, Enrique A. de la Cal, Javier Sedano
2009	C	`conf`	Improving Energy Efficiency in Buildings Using Machine Intelligence. IDEAL Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado
2008	Misc	`conf`	Minimizing Energy Consumption in Heating Systems under Uncertainty. HAIS José Ramón Villar, Enrique A. de la Cal, Javier Sedano
2007	C	`conf`	Energy Saving by Means of Fuzzy Systems. IDEAL José Ramón Villar, Enrique A. de la Cal, Javier Sedano
1998	—	`conf`	Machine Learning Usefulness Relies on Accuracy and Self-Maintenance. IEA/AIE (Vol. 2) Oscar Luaces, Jaime Alonso, Enrique A. de la Cal, José Ranilla, Antonio Bahamonde
1997	Misc	`conf`	Self-Organizing Symbolic Learned Rules. IWANN Antonio Bahamonde, Enrique A. de la Cal, José Ranilla, Jaime Alonso