J. Villar

发表

1 A soft computing based method for detecting lifetime building thermal insulation failures

Emilio Corchado, Leticia Curiel, José R. Villar, 2010 .

Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems

L. Sánchez, J. Villar, 2008 .

Data Analysis for Detecting a Temporary Breath Inability Episode

José Ramón Villar, Silvia González, Javier Sedano, 2014, IDEAL.

Virtual reality and machine learning in the automatic photoparoxysmal response detection

Víctor M. González, J. Villar, A. I. Gómez-Menéndez, 2022, Neural Computing and Applications.

A platform for enhancing the Epilepsy Anamnesis

Paula M. Vergara, Víctor M. González, J. Sedano, 2015 .

GENERALIZED MODELS FOR THE CLASSIFICATION OF ABNORMAL 3 MOVEMENTS IN DAILY LIFE AND ITS APPLICABILITY TO EPILEPSY

Paula M. Vergara, J. Villar, 2016 .

Editorial: Special issue HAIS 2018

Héctor Quintián-Pardo, Emilio Corchado, Francisco Javier de Cos Juez, 2021, Log. J. IGPL.

A New Information Infrastructure Approach for End-To-End Supply Chain Management

José Luís Calvo-Rolle, Dragan Simic, Svetlana Simic, 2021, SOCO.

Hemicranial Cough-Induced Headache as a First Symptom of a Carotid-Cavernous Fistula-Case Report

D. Simić, J. Villar, S. Simic, 2020, Medicina.

A Simple Classification Ensemble for ADL and Falls

Víctor M. González Suárez, José Ramón Villar, Enrique A. de la Cal, 2020, HAIS.

Transfer learning and information retrieval applied to fall detection

Víctor M. González Suárez, Javier Sedano, José Ramón Villar, 2020, Expert Syst. J. Knowl. Eng..

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

Víctor M. González Suárez, Javier Sedano, José Ramón Villar, 2017, J. Appl. Log..

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

Víctor M. González Suárez, José Ramón Villar, Javier Sedano, 2016, Int. J. Neural Syst..

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

Álvaro Herrero, José Ramón Villar, Javier Sedano, 2015, SOCO.

Analyzing Accelerometer Data for Epilepsy Episode Recognition

Víctor M. González Suárez, José Ramón Villar, Javier Sedano, 2015, SOCO.

Comparison of classification techniques for the control of EOG-based HCIs

J. Villar, F. Ferrero, Alberto López, 2023, Biomed. Signal Process. Control..

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

Svetlana Simic, José Ramón Villar, Javier Sedano, 2019, HAIS.

A Preliminary Study on Multivariate Time Series Clustering

Svetlana Simic, José Ramón Villar, Javier Sedano, 2019, SOCO.

Gene clustering for time-series microarray with production outputs

Carlos Prieto, Camelia Chira, José Ramón Villar, 2016, Soft Comput..

Gene clustering for time-series microarray with production outputs

J. Sedano, J. Villar, Camelia Chira, 2016, Soft Computing.

Shape-Output Gene Clustering for Time Series Microarrays

Carlos Prieto, Camelia Chira, José Ramón Villar, 2015, SOCO.

A Cluster Merging Method for Time Series microarray with production Values

Emilio Corchado, Carlos Prieto, Camelia Chira, 2014, Int. J. Neural Syst..

Emerging Technologies: IoT, Big Data, and CPS with Sensory Systems

Nashwa El-Bendary, Javier Sedano, José Ramón Villar, 2018, J. Sensors.

Hybrid Systems for Analyzing the Movements during a Temporary Breath Inability Episode

José Ramón Villar, Silvia González, Javier Sedano, 2014, HAIS.

Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses

Víctor M. González Suárez, J. Villar, Beatriz García-López, 2023, Sensors.

Gene Clustering in Time Series Microarray Analysis

Emilio Corchado, Carlos Prieto, Camelia Chira, 2013, SOCO-CISIS-ICEUTE.

Improving Fall Detection Using an On-Wrist Wearable Accelerometer

Víctor M. González Suárez, Camelia Chira, José Ramón Villar, 2018, Sensors.

A hybrid intelligent recognition system for the early detection of strokes

Camelia Chira, José Ramón Villar, Silvia González, 2015, Integr. Comput. Aided Eng..

Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data

Inés Couso, Luciano Sánchez, José Ramón Villar, 2008, Int. J. Approx. Reason..

A Preliminary Study on Early Diagnosis of Illnesses Based on Activity Disturbances

Camelia Chira, José Ramón Villar, Silvia González, 2013, DCAI.

Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms

Luciano Sánchez, José Ramón Villar, L. Sánchez, 2008, Inf. Sci..

Taximeter verification using imprecise data from GPS

Luciano Sánchez, José Otero, José Villar, 2009, Eng. Appl. Artif. Intell..

Heuristics for Apnea Episodes Recognition

José Ramón Villar, Silvia González, Javier Sedano, 2015, SOCO.

An Application of a Hybrid Intelligent System for Diagnosing Primary Headaches

S. Sekulic, D. Simić, J. Calvo-Rolle, 2021, International journal of environmental research and public health.

Optimising operational costs using Soft Computing techniques

Emilio Corchado, José Ramón Villar, Javier Sedano, 2011, Integr. Comput. Aided Eng..

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

José Ramón Villar, Javier Sedano, Enrique A. de la Cal, 2009, Integr. Comput. Aided Eng..

Human Activity Recognition and Feature Selection for Stroke Early Diagnosis

Camelia Chira, José Ramón Villar, Silvia González, 2013, HAIS.

Optimizing the operating conditions in a high precision industrial process using soft computing techniques

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2012, Expert Syst. J. Knowl. Eng..

A soft computing method for detecting lifetime building thermal insulation failures

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2010, Integr. Comput. Aided Eng..

Improving Human Activity Recognition and its Application in Early Stroke Diagnosis

Camelia Chira, José Ramón Villar, Silvia González, 2015, Int. J. Neural Syst..

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

Víctor M. González, J. Sedano, J. Villar, 2019, Progress in Artificial Intelligence.

Improving wearable-based fall detection with unsupervised learning

Javier Sedano, José Ramón Villar, Enrique de la Cal, 2020, Log. J. IGPL.

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

Enrique de la Cal, Jose Villar, Enol García González, 2020, SOCO.

Peak Detection Enhancement in Autonomous Wearable Fall Detection

Mario Villar, Jose R. Villar, J. Villar, 2020, ISDA.

Fall Detection Based on Local Peaks and Machine Learning

Javier Sedano, José Ramón Villar, Enrique A. de la Cal, 2020, HAIS.

A Hybrid Automatic Classification Model for Skin Tumour Images

Svetlana Simic, José Ramón Villar, Zorana Bankovic, 2019, Hybrid Artificial Intelligence Systems.

VR-Photosense: A Virtual Reality Photic Stimulation Interface for the Study of Photosensitivity

José R. Villar, Víctor M. González, Víctor Álvarez, 2021, SOCO.

Impact of Individual Headache Types on the Work and Work Efficiency of Headache Sufferers

D. Simić, J. Calvo-Rolle, J. Villar, 2020, International journal of environmental research and public health.

A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals

José R. Villar, Víctor M. González, Fernando Moncada, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

Fuzzy rule learning with ACO in epilepsy crisis identification

Paula M. Vergara, Paula Vergara, Jose R. Villar, 2015, 2015 11th International Conference on Innovations in Information Technology (IIT).

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

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2012, Log. J. IGPL.

Modelling of Heat Flux in Building Using Soft-Computing Techniques

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2010, IEA/AIE.

The application of a two-step AI model to an automated pneumatic drilling process

Emilio Corchado, Javier Sedano, Leticia Curiel, 2009, Int. J. Comput. Math..

A Soft Computing System to Perform Face Milling Operations

Emilio Corchado, José R. Alique, José Ramón Villar, 2009, IWANN.

AI for Modelling the Laser Milling of Copper Components

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2008, IDEAL.

Conventional Methods and AI models for Solving an Industrial an Industrial Problem

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2008, 2008 Second UKSIM European Symposium on Computer Modeling and Simulation.

A Soft Computing System for Modelling the Manufacture of Steel Components

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2009, Computer Recognition Systems 3.

1. Soft Computing for detecting thermal insulation failures in buildings

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2009 .

IDENTIFICATION OF THE OPTIMAL CONDITIONS OF A PNEUMATIC DRILL

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2008 .

Conventional Methods and AI models for Solving an Industrial Problem

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2008 .

Design issues in Time Series dataset balancing algorithms

Álvaro Herrero, José R. Villar, Javier Sedano, 2019, Neural Computing and Applications.

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

Álvaro Herrero, José Ramón Villar, Javier Sedano, 2017, SOCO-CISIS-ICEUTE.

An IoT Platform for Epilepsy Monitoring and Supervising

Víctor M. González Suárez, José Ramón Villar, Javier Sedano, 2017, J. Sensors.

An Autonomous Fallers Monitoring Kit: Release 0.0

Víctor M. González Suárez, Javier Sedano, Enrique de la Cal, 2019, ISDA.

Urban bicycles renting systems: Modelling and optimization using nature-inspired search methods

Emilio Corchado, Camelia Chira, José Ramón Villar, 2014, Neurocomputing.

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

José Ramón Villar, Javier Sedano, Paula M. Vergara, 2016, SOCO-CISIS-ICEUTE.

Rehabilitation of hemineglect of the left arm using movement detection bracelets activating a visual and acoustic alarm

J. Sedano, J. Villar, S. González, 2016, Journal of NeuroEngineering and Rehabilitation.

A hybrid fuzzy clustering approach for diagnosing primary headache disorder

Dragan Simic, Svetlana Simic, José Ramón Villar, 2020, Log. J. IGPL.

A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder

Svetlana Simic, José Ramón Villar, Zorana Bankovic, 2020, HAIS.

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

Camelia Chira, Javier Sedano, José Ramón Villar, 2020, Neurocomputing.

Mixing user-centered and generalized models for Fall Detection

Javier Sedano, Enrique de la Cal, Mirko Fáñez, 2020, Neurocomputing.

Evaluation of a Wrist-Based Wearable Fall Detection Method

Víctor M. González Suárez, José Ramón Villar, Harun Resit Yazgan, 2018, HAIS.

When cloud meets battery

Qing Tan, Samad Barri Khojasteh, Enrique de la Cal, 2018, 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

Using Ensembles for Improving Fall Detection 1

Víctor M. González, J. Villar, 2018 .

A Discussion on Fall Detection issues and Its Deployment When Cloud meets Battery

Samad Barri Khojasteh, Víctor M. González, E. D. L. Cal, 2018 .

Meta-heuristic improvements applied for steel sheet incremental cold shaping

Emilio Corchado, Joaquim Ciurana, José Ramón Villar, 2012, Memetic Computing.

Features and models for human activity recognition

Álvaro Herrero, Emilio Corchado, Javier Sedano, 2015, Neurocomputing.

Intelligent operating conditions design by means of bio-inspired models

Emilio Corchado, José Ramón Villar, Javier Sedano, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Improving Energy Efficiency in Buildings Using Machine Intelligence

Emilio Corchado, Leticia Curiel, José Ramón Villar, 2009, IDEAL.

A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems

J. Villar, Qing Tan, Nicholas Jeffrey, 2023, Electronics.

Simple heuristics for enhancing GP learning

Javier Sedano, José Ramón Villar, Enrique de la Cal, 2015, Log. J. IGPL.

Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms

José Ramón Villar, Javier Sedano, Enrique A. de la Cal, 2012, HAIS.

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

José Ramón Villar, Javier Sedano, Enrique A. de la Cal, 2011, HAIS.

Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training

José Ramón Villar, Javier Sedano, Enrique A. de la Cal, 2010, HAIS.

A Comparison of Multivariate Time Series Clustering Methods

Javier Sedano, Svetlana Simić, Iago Vázquez, 2020, SOCO.

An intelligent route management system for electric vehicle charging

Camelia Chira, José Ramón Villar, Javier Sedano, 2013, Integr. Comput. Aided Eng..

Pre-Clinical Study on the Detection of Simulated Epileptic Seizures

José Ramón Villar, Javier Sedano, Paula M. Vergara, 2016, Int. J. Uncertain. Fuzziness Knowl. Based Syst..