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ORCIDEnrique A. de la Cal
- > Home > Persons > Enrique A. de la Cal
Publications
- 2025
[j27]Enol García González
, José R. Villar, Javier Sedano, Camelia Chira, Enrique A. de la Cal, Luciano Sánchez:
Slime Mould Metaheuristic for optimization and robot path planning. Neurocomputing 647: 130551 (2025)- 2023
- [j25]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): 375-389 (2023) - [c41]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: 279-289 - [e5]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:
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. Lecture Notes in Networks and Systems 532, Springer 2023, ISBN 978-3-031-18408-6 [contents] - [e4]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:
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Networks and Systems 531, Springer 2023, ISBN 978-3-031-18049-1 [contents] - 2022
- [j24]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): 314-325 (2022) - [j23]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: 231-240 (2022) - [j22]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: 159-160 (2022) - [e3]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:
Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Computer Science 13469, Springer 2022, ISBN 978-3-031-15470-6 [contents] - 2021
- [j21]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): 121-123 (2021) - [j20]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: 404-413 (2021) - [j19]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: 473-486 (2021) - [j18]Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal:
An ensemble solution for multivariate time series clustering. Neurocomputing 457: 182-192 (2021) - [c36]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: 256-264 - [c35]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: 659-670 - [c34]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: 91-100 - [c33]Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen:
A First Prototype of an Emotional Smart Speaker. SOCO 2021: 304-313 - 2020
- [j17]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) - [j16]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): 1287-1304 (2020) - [c32]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: 95-106 - [c31]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: 631-643 - [c30]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: 13-21 - [c29]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: 563-570 - [e2]Enrique A. de la Cal, José Ramón Villar Flecha, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings. Lecture Notes in Computer Science 12344, Springer 2020, ISBN 978-3-030-61704-2 [contents] - 2019
- [j15]Noelia Rico, Irene Díaz, José Ramón Villar, Enrique A. de la Cal:
Intelligent decision support to determine the best sensory guardrail locations. Neurocomputing 354: 41-48 (2019) - [j14]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): 453-474 (2019) - [c28]Iago Xabier 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: 346-357 - [c26]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: 287-297 - [c25]Enrique A. de la Cal, José Ramón Villar, Javier Sedano:
DTW as Alignment Function in the Context of Time Series Balancing. SOCO 2019: 209-218 - [c24]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: 219-228 - 2018
- [j13]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): 1350 (2018) - [c23]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: 377-386 - [c22]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: 334-343 - [e1]Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José Antonio Sáez, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Lecture Notes in Computer Science 10870, Springer 2018, ISBN 978-3-319-92638-4 [contents] - 2017
- [j12]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: 54-61 (2017) - [j11]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: 6043069:1-6043069:18 (2017) - [c21]Irene Díaz, José Ramón Villar, Enrique A. de la Cal:
Spanish Road Fork Traffic Analysis and Modelling. HAIS 2017: 483-493 - [c20]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: 439-448 - 2016
- [j10]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): 1650037:1-1650037:21 (2016) - [j9]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): 33-46 (2016) - [c19]Paula M. Vergara, José Ramón Villar, Enrique A. de la Cal, Manuel Menéndez, Javier Sedano:
Comparing ACO Approaches in Epilepsy Seizures. HAIS 2016: 261-272 - [c18]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: 20-30 - 2015
- [j8]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): 472-484 (2015) - [c17]José Ramón Villar, Manuel Menéndez, Javier Sedano, Enrique A. de la Cal, Víctor M. González:
Analyzing Accelerometer Data for Epilepsy Episode Recognition. SOCO 2015: 39-48 - [c16]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: 49-63 - 2012
- [j7]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): 757-769 (2012) - [j6]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): 219-225 (2012) - [c15]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: 339-349 - 2011
- [j5]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): 313-325 (2011) - [c14]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: 84-91 - 2010
- [j3]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): 103-115 (2010) - [c13]Enrique A. de la Cal, E. M. Fernández, Raquel 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: 143-150 - [c12]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: 421-428 - [c11]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: 636-645 - [c10]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: 673-680 - [c9]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: 119-126 - 2009
- [j2]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): 151-163 (2009) - [c8]Enrique A. de la Cal, José Ramón Villar, Javier Sedano:
A Thermodynamical Model Study for an Energy Saving Algorithm. HAIS 2009: 384-390 - [c7]Javier Sedano, José Ramón Villar, Leticia Curiel, Enrique A. de la Cal, Emilio Corchado:
Improving Energy Efficiency in Buildings Using Machine Intelligence. IDEAL 2009: 773-782 - [c6]José Ramón Villar, Roberto Pérez, Enrique A. de la Cal, Javier Sedano:
Efficiency in Electrical Heating Systems: An MAS Real World Application. PAAMS 2009: 460-469 - 2008
- [c5]José Ramón Villar, Enrique A. de la Cal, Javier Sedano:
Minimizing Energy Consumption in Heating Systems under Uncertainty. HAIS 2008: 583-590 - 2007
- [c4]José Ramón Villar, Enrique A. de la Cal, Javier Sedano:
Energy Saving by Means of Fuzzy Systems. IDEAL 2007: 155-167
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