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ORCIDJosé R. Villar 0001
José Ramón Villar 0001 – José Ramón Villar Flecha
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- affiliation: University of Oviedo, Spain
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2020 – today
- 2023
[j46]Alberto López
, José R. Villar, Marta Fernández, Francisco Javier Ferrero:
Comparison of classification techniques for the control of EOG-based HCIs. Biomed. Signal Process. Control. 80(Part): 104263 (2023)- [j45]Enol García González, José R. Villar, Qing Tan, Javier Sedano, Camelia Chira:
An efficient multi-robot path planning solution using A* and coevolutionary algorithms. Integr. Comput. Aided Eng. 30(1): 41-52 (2023) - [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
- [j44]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) - [j43]Svetlana Simic, Svetislav D. Simic, Zorana Bankovic, Milana Ivkov-Simic, José R. Villar, Dragan Simic:
Deep Convolutional Neural Networks on Automatic Classification for Skin Tumour Images. Log. J. IGPL 30(4): 649-663 (2022) - [j42]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) - [j41]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) - [c78]Fernando Moncada, Víctor M. González, Beatriz García, Víctor Álvarez, José R. Villar:
A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals. HAIS 2022: 3-13 - [c77]Enol García González, José R. Villar, Camelia Chira, Javier Sedano:
A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks. HAIS 2022: 494-504 - [c76]Dragan Simic, Zorana Bankovic, José R. Villar, José Luís Calvo-Rolle, Svetislav D. Simic, Svetlana Simic:
An Analysis on Hybrid Brain Storm Optimisation Algorithms. HAIS 2022: 505-516 - [c75]Randy Lozada, Jorge Ruiz, Manuel L. González, Javier Sedano, José R. Villar, Ángel Miguel García-Vico, Erik S. Skibinsky-Gitlin:
Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference. IDEAL 2022: 348-358 - [c74]Nicholas Jeffrey, Qing Tan, José R. Villar:
Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study. SOCO 2022: 3-12 - [c73]Bola Abimbola, Qing Tan, José Ramón Villar:
Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach. SOCO 2022: 587-595 - [c72]Enrique Fernádez, José Ramón Villar, Alberto Navarro, Javier Sedano:
Case-Based Reasoning for the Prediction of Flash Flood. SOCO 2022: 596-605 - [c71]Dragan Simic, José Luís Calvo-Rolle, José R. Villar, Vladimir Ilin, Svetislav D. Simic, Svetlana Simic:
Fine-Tuning of Optimisation Parameters in a Firefly Algorithm in Inventory Management. SOCO 2022: 645-654 - [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
- [j40]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) - [j39]Svetlana Simic, Zorana Bankovic, José Ramón Villar, Dragan Simic, Svetislav D. Simic:
A hybrid fuzzy clustering approach for diagnosing primary headache disorder. Log. J. IGPL 29(2): 220-235 (2021) - [j38]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) - [j37]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) - [j36]Iago 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) - [c70]Fernando Moncada, Víctor M. González, Víctor Álvarez, Beatriz García, José R. Villar:
A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals. CBMS 2021: 420-425 - [c69]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 - [c68]Fernando Moncada, Víctor M. González, Beatriz García, Víctor Álvarez, José R. Villar:
A Comparison of Blink Removal Techniques in EEG Signals. HAIS 2021: 355-366 - [c67]Dragan Simic, Zorana Bankovic, José Ramón Villar, José Luís Calvo-Rolle, Svetislav D. Simic, Svetlana Simic:
A Hybrid Bio-Inspired Tabu Search Clustering Approach. HAIS 2021: 436-447 - [c66]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 - [c65]José Ramón Blanco, Juan Menéndez, Francisco Javier Ferrero, Alberto López, José Ramón Villar:
An affordable Airborne Ultrasonic Sensor for Predictive Maintenance Applications. I2MTC 2021: 1-5 - [c64]Alberto López, Francisco Javier Ferrero Martín, José Ramón Villar:
EOG Signal Compression Using Turning Point Algorithm. I2MTC 2021: 1-4 - [c63]Manuel L. González, Javier Sedano, Ángel Miguel García-Vico, José Ramón Villar:
A Comparison of Techniques for Virtual Concept Drift Detection. SOCO 2021: 3-13 - [c62]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 - [c61]Sofía Martín, Víctor Álvarez, Beatriz García-López, Víctor M. González, José R. Villar:
VR-Photosense: A Virtual Reality Photic Stimulation Interface for the Study of Photosensitivity. SOCO 2021: 178-186 - [c60]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 - [c59]Dragan Simic, José Luís Calvo-Rolle, José R. Villar, Vladimir Ilin, Svetislav D. Simic, Svetlana Simic:
A New Information Infrastructure Approach for End-To-End Supply Chain Management. SOCO 2021: 314-323 - 2020
- [j35]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) - [j34]Francisco Javier de Cos Juez, Michal Wozniak, Juan Albino Méndez, José Ramón Villar Flecha:
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). Neural Comput. Appl. 32(5): 1217-1218 (2020) - [j33]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) - [c58]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 - [c57]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 - [c56]Diego Aranda-Orna, José Ramón Villar, Javier Sedano:
Stroke Rehabilitation: Detection of Finger Movements. HAIS 2020: 729-738 - [c55]Svetlana Simic, Sladana Sakac, Zorana Bankovic, José Ramón Villar, Svetislav D. Simic, Dragan Simic:
A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder. HAIS 2020: 739-750 - [c54]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 - [c53]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 - [c52]Iago Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic:
A Comparison of Multivariate Time Series Clustering Methods. SOCO 2020: 571-579 - [c51]Morteza Kiadi, José Ramón Villar, Qing Tan:
Synthesized A* Multi-robot Path Planning in an Indoor Smart Lab Using Distributed Cloud Computing. SOCO 2020: 580-589 - [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]
2010 – 2019
- 2019
- [j32]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) - [j31]Silvia González, José Ramón Villar, Javier Sedano, Joaquín Terán, María Luz Alonso Álvarez, Jerónimo González:
Preliminary Study on the Detection of Apnea Episodes Through the Use of Dictionaries. J. Multiple Valued Log. Soft Comput. 32(3-4): 257-276 (2019) - [j30]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) - [c50]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: 346-357 - [c49]Svetlana Simic, Svetislav D. Simic, Zorana Bankovic, Milana Ivkov-Simic, José Ramón Villar, Dragan Simic:
A Hybrid Automatic Classification Model for Skin Tumour Images. HAIS 2019: 722-733 - [c48]Mario Villar, José Ramón Villar:
Peak Detection Enhancement in Autonomous Wearable Fall Detection. ISDA 2019: 48-58 - [c47]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 - [c46]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 - [c45]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 - [c44]Iago Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic:
A Preliminary Study on Multivariate Time Series Clustering. SOCO 2019: 473-480 - 2018
- [j29]Qing Tan, Nashwa El-Bendary, Magdy A. Bayoumi, Xiaokun Zhang, Javier Sedano, José Ramón Villar:
Emerging Technologies: IoT, Big Data, and CPS with Sensory Systems. J. Sensors 2018: 3407542:1-3407542:3 (2018) - [j28]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) - [c43]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 - [c42]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
- [j27]Javier Sedano, Silvia González, Camelia Chira, Álvaro Herrero, Emilio Corchado, José Ramón Villar:
Key features for the characterization of Android malware families. Log. J. IGPL 25(1): 54-66 (2017) - [j26]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) - [j25]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) - [c41]Irene Díaz, José Ramón Villar, Enrique A. de la Cal:
Spanish Road Fork Traffic Analysis and Modelling. HAIS 2017: 483-493 - [c40]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
- [j24]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) - [j23]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) - [j22]Camelia Chira, Javier Sedano, José Ramón Villar, Monica Camara, Carlos Prieto:
Gene clustering for time-series microarray with production outputs. Soft Comput. 20(11): 4301-4312 (2016) - [c39]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 - [c38]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 - [c37]Javier Sedano, Camelia Chira, Silvia González, Álvaro Herrero, Emilio Corchado, José Ramón Villar:
Characterization of Android Malware Families by a Reduced Set of Static Features. SOCO-CISIS-ICEUTE 2016: 607-617 - 2015
- [j21]José Ramón Villar, Camelia Chira, Javier Sedano, Silvia González, José M. Trejo:
A hybrid intelligent recognition system for the early detection of strokes. Integr. Comput. Aided Eng. 22(3): 215-227 (2015) - [j20]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) - [j19]José Ramón Villar, Silvia González, Javier Sedano, Camelia Chira, José M. Trejo-Gabriel-Galan:
Improving Human Activity Recognition and its Application in Early Stroke Diagnosis. Int. J. Neural Syst. 25(4): 1450036:1-1450036:20 (2015) - [j18]Silvia González, Javier Sedano, José Ramón Villar, Emilio Corchado, Álvaro Herrero, Bruno Baruque:
Features and models for human activity recognition. Neurocomputing 167: 52-60 (2015) - [c36]Javier Sedano, Camelia Chira, Silvia González, Álvaro Herrero, Emilio Corchado, José Ramón Villar:
On the Selection of Key Features for Android Malware Characterization. CISIS-ICEUTE 2015: 167-176 - [c35]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 - [c34]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 - [c33]Camelia Chira, Javier Sedano, José Ramón Villar, Monica Camara, Carlos Prieto:
Shape-Output Gene Clustering for Time Series Microarrays. SOCO 2015: 241-250 - [c32]Silvia González, José Ramón Villar, Javier Sedano, Joaquín Terán, María Luz Alonso Álvarez, Jerónimo González:
Heuristics for Apnea Episodes Recognition. SOCO 2015: 251-259 - 2014
- [j17]Camelia Chira, Javier Sedano, Monica Camara, Carlos Prieto, José Ramón Villar, Emilio Corchado:
A Cluster Merging Method for Time Series microarray with production Values. Int. J. Neural Syst. 24(6) (2014) - [j16]Camelia Chira, Javier Sedano, José Ramón Villar, Monica Camara, Emilio Corchado:
Urban bicycles renting systems: Modelling and optimization using nature-inspired search methods. Neurocomputing 135: 98-106 (2014) - [c31]María Luz Alonso Álvarez, Silvia González, Javier Sedano, Joaquín Terán, José Ramón Villar, Estrella Ordax Carbajo, María Jesús Coma del Corral:
Hybrid Systems for Analyzing the Movements during a Temporary Breath Inability Episode. HAIS 2014: 549-560 - [c30]María Luz Alonso Álvarez, Silvia González, José Ramón Villar, Javier Sedano, Joaquín Terán, Estrella Ordax Carbajo, María Jesús Coma del Corral:
Data Analysis for Detecting a Temporary Breath Inability Episode. IDEAL 2014: 126-133 - 2013
- [j15]Javier Sedano, Camelia Chira, José Ramón Villar, Eva M. Ambel:
An intelligent route management system for electric vehicle charging. Integr. Comput. Aided Eng. 20(4): 321-333 (2013) - [c29]Silvia González, José Ramón Villar, Javier Sedano, Camelia Chira:
A Preliminary Study on Early Diagnosis of Illnesses Based on Activity Disturbances. DCAI 2013: 521-527 - [c28]José Ramón Villar, Silvia González, Javier Sedano, Camelia Chira, José M. Trejo:
Human Activity Recognition and Feature Selection for Stroke Early Diagnosis. HAIS 2013: 659-668 - [c27]Camelia Chira, Javier Sedano, José Ramón Villar, Carlos Prieto, Emilio Corchado:
Gene Clustering in Time Series Microarray Analysis. SOCO-CISIS-ICEUTE 2013: 289-298 - 2012
- [j14]Emilio Corchado, Javier Sedano, Leticia Curiel, José Ramón Villar:
Optimizing the operating conditions in a high precision industrial process using soft computing techniques. Expert Syst. J. Knowl. Eng. 29(3): 276-299 (2012) - [j13]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) - [j12]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) - [j11]José Ramón Villar, Silvia González, Javier Sedano, Emilio Corchado, Laura Puigpinós, Joaquim Ciurana:
Meta-heuristic improvements applied for steel sheet incremental cold shaping. Memetic Comput. 4(4): 249-261 (2012) - [c26]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 - [c25]Irene Barbero, Camelia Chira, Javier Sedano, Carlos Prieto, José Ramón Villar, Emilio Corchado:
Merge Method for Shape-Based Clustering in Time Series Microarray Analysis. IDEAL 2012: 834-841 - 2011
- [j10]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) - [c24]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 - [c23]José Ramón Villar, Javier Sedano, Emilio Corchado, Laura Puigpinós:
Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process. IDEAL 2011: 482-489 - [c22]Camelia Chira, Javier Sedano, José Ramón Villar, Monica Camara, Emilio Corchado:
Evolutionary model support for Urban Bicycles Renting Systems. ISDA 2011: 819-824 - [c21]José Ramón Villar, Javier Sedano, Emilio Corchado, Vicente Vera, Beatriz Hernando, Raquel Redondo:
Intelligent operating conditions design by means of bio-inspired models. NaBIC 2011: 608-613 - [c20]Camelia Chira, Javier Sedano, Monica Camara, José Ramón Villar, Emilio Corchado:
A hybrid evolutionary approach to the management of Bicycle Renting Systems. NaBIC 2011: 621-626 - [c19]Laura Puigpinós, José Ramón Villar, Javier Sedano, Emilio Corchado, Joaquim Ciurana:
Steel Sheet Incremental Cold Shaping Improvements Using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks. NICSO 2011: 323-332 - [c18]Alba Berzosa, José Ramón Villar, Javier Sedano, Marco Antonio García Tamargo:
Tree Generation Methods Comparison in GAP Problems with Low Quality Data. SOCO 2011: 85-93 - 2010
- [j9]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) - [j8]María del Rosario Suárez, José Ramón Villar, Javier Grande:
A feature selection method using a fuzzy mutual information measure. Int. J. Reason. based Intell. Syst. 2(2): 133-141 (2010) - [j7]José R. Villar, Adolfo Otero, José Otero, Luciano Sánchez:
Taximeter verification with GPS and soft computing techniques. Soft Comput. 14(4): 405-418 (2010) - [c17]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: 143-150 - [c16]