José R. Villar

Orcid: 0000-0001-6024-9527

Affiliations:
  • University of Oviedo, Spain


According to our database1, José R. Villar authored at least 144 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A hybrid methodology for anomaly detection in Cyber-Physical Systems.
Neurocomputing, February, 2024

A Short Analysis of Hybrid Approaches in COVID‑19 for Detection and Diagnosing.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

A Comparison Procedure for the Evaluation of Metaheuristics.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

2023
A*-Based Co-Evolutionary Approach for Multi-Robot Path Planning with Collision Avoidance.
Cybern. Syst., April, 2023

Computational-based biomarkers for mental and emotional health.
Neural Comput. Appl., March, 2023

Virtual reality and machine learning in the automatic photoparoxysmal response detection.
Neural Comput. Appl., March, 2023

A three-stage hybrid clustering system for diagnosing children with primary headache disorder.
Log. J. IGPL, March, 2023

A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices.
Log. J. IGPL, March, 2023

Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses.
Sensors, February, 2023

An efficient multi-robot path planning solution using A* and coevolutionary algorithms.
Integr. Comput. Aided Eng., 2023

Comparison of classification techniques for the control of EOG-based HCIs.
Biomed. Signal Process. Control., 2023

An Approach of Optimisation in Last Mile Delivery.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Neuron Characterization in Complex Cultures Using a Combined YOLO and U-Net Segmentation Approach.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

The Analysis of Hybrid Brain Storm Optimisation Approaches in Feature Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

FAS-CT: FPGA-Based Acceleration System with Continuous Training.
Proceedings of the Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

Intrusion Detection and Prevention in Industrial Internet of Things: A Study.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022
Towards effective detection of elderly falls with CNN-LSTM neural networks.
Neurocomputing, 2022

Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference.
Neurocomputing, 2022

Deep Convolutional Neural Networks on Automatic Classification for Skin Tumour Images.
Log. J. IGPL, 2022

Improving wearable-based fall detection with unsupervised learning.
Log. J. IGPL, 2022

Fine-Tuning of Optimisation Parameters in a Firefly Algorithm in Inventory Management.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Case-Based Reasoning for the Prediction of Flash Flood.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

An Analysis on Hybrid Brain Storm Optimisation Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021
Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges.
Neurocomputing, 2021

An ensemble solution for multivariate time series clustering.
Neurocomputing, 2021

Mixing user-centered and generalized models for Fall Detection.
Neurocomputing, 2021

A hybrid fuzzy clustering approach for diagnosing primary headache disorder.
Log. J. IGPL, 2021

Editorial: Special issue HAIS 2018.
Log. J. IGPL, 2021

A New Information Infrastructure Approach for End-To-End Supply Chain Management.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

VR-Photosense: A Virtual Reality Photic Stimulation Interface for the Study of Photosensitivity.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A Comparison of Techniques for Virtual Concept Drift Detection.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A First Prototype of an Emotional Smart Speaker.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

EOG Signal Compression Using Turning Point Algorithm.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

An affordable Airborne Ultrasonic Sensor for Predictive Maintenance Applications.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

A Hybrid Bio-Inspired Tabu Search Clustering Approach.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

A Comparison of Blink Removal Techniques in EEG Signals.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS).
Neural Comput. Appl., 2020

Design issues in Time Series dataset balancing algorithms.
Neural Comput. Appl., 2020

Transfer learning and information retrieval applied to fall detection.
Expert Syst. J. Knowl. Eng., 2020

A Comparison of Multivariate Time Series Clustering Methods.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Synthesized A* Multi-robot Path Planning in an Indoor Smart Lab Using Distributed Cloud Computing.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Fall Detection Based on Local Peaks and Machine Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

A Simple Classification Ensemble for ADL and Falls.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Stroke Rehabilitation: Detection of Finger Movements.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
User-centered fall detection using supervised, on-line learning and transfer learning.
Prog. Artif. Intell., 2019

Preliminary Study on the Detection of Apnea Episodes Through the Use of Dictionaries.
J. Multiple Valued Log. Soft Comput., 2019

Intelligent decision support to determine the best sensory guardrail locations.
Neurocomputing, 2019

A Preliminary Study on Multivariate Time Series Clustering.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Feature Clustering to Improve Fall Detection: A Preliminary Study.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

DTW as Alignment Function in the Context of Time Series Balancing.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Peak Detection Enhancement in Autonomous Wearable Fall Detection.
Proceedings of the Intelligent Systems Design and Applications, 2019

An Autonomous Fallers Monitoring Kit: Release 0.0.
Proceedings of the Intelligent Systems Design and Applications, 2019

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

A Hybrid Automatic Classification Model for Skin Tumour Images.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Improving Fall Detection Using an On-Wrist Wearable Accelerometer.
Sensors, 2018

Emerging Technologies: IoT, Big Data, and CPS with Sensory Systems.
J. Sensors, 2018

Fall Detection Analysis Using a Real Fall Dataset.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Evaluation of a Wrist-Based Wearable Fall Detection Method.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
An IoT Platform for Epilepsy Monitoring and Supervising.
J. Sensors, 2017

Identification of abnormal movements with 3D accelerometer sensors for seizure recognition.
J. Appl. Log., 2017

Key features for the characterization of Android malware families.
Log. J. IGPL, 2017

A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Spanish Road Fork Traffic Analysis and Modelling.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2016
Gene clustering for time-series microarray with production outputs.
Soft Comput., 2016

Pre-Clinical Study on the Detection of Simulated Epileptic Seizures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition.
Int. J. Neural Syst., 2016

Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Characterization of Android Malware Families by a Reduced Set of Static Features.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Comparing ACO Approaches in Epilepsy Seizures.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015
Features and models for human activity recognition.
Neurocomputing, 2015

Improving Human Activity Recognition and its Application in Early Stroke Diagnosis.
Int. J. Neural Syst., 2015

Simple heuristics for enhancing GP learning.
Log. J. IGPL, 2015

A hybrid intelligent recognition system for the early detection of strokes.
Integr. Comput. Aided Eng., 2015

Analyzing Accelerometer Data for Epilepsy Episode Recognition.
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

Heuristics for Apnea Episodes Recognition.
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

Shape-Output Gene Clustering for Time Series Microarrays.
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices.
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

On the Selection of Key Features for Android Malware Characterization.
Proceedings of the International Joint Conference, 2015

2014
Urban bicycles renting systems: Modelling and optimization using nature-inspired search methods.
Neurocomputing, 2014

A Cluster Merging Method for Time Series microarray with production Values.
Int. J. Neural Syst., 2014

Data Analysis for Detecting a Temporary Breath Inability Episode.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Hybrid Systems for Analyzing the Movements during a Temporary Breath Inability Episode.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013
An intelligent route management system for electric vehicle charging.
Integr. Comput. Aided Eng., 2013

Gene Clustering in Time Series Microarray Analysis.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

Human Activity Recognition and Feature Selection for Stroke Early Diagnosis.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

A Preliminary Study on Early Diagnosis of Illnesses Based on Activity Disturbances.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

2012
Meta-heuristic improvements applied for steel sheet incremental cold shaping.
Memetic Comput., 2012

Multi-objective learning of white box models with low quality data.
Neurocomputing, 2012

Learning and training techniques in fuzzy control for energy efficiency in buildings.
Log. J. IGPL, 2012

Optimizing the operating conditions in a high precision industrial process using soft computing techniques.
Expert Syst. J. Knowl. Eng., 2012

Merge Method for Shape-Based Clustering in Time Series Microarray Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
Optimising operational costs using Soft Computing techniques.
Integr. Comput. Aided Eng., 2011

Tree Generation Methods Comparison in GAP Problems with Low Quality Data.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

Steel Sheet Incremental Cold Shaping Improvements Using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2011

Intelligent operating conditions design by means of bio-inspired models.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

A hybrid evolutionary approach to the management of Bicycle Renting Systems.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Evolutionary model support for Urban Bicycles Renting Systems.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
Taximeter verification with GPS and soft computing techniques.
Soft Comput., 2010

A feature selection method using a fuzzy mutual information measure.
Int. J. Reason. based Intell. Syst., 2010

A soft computing method for detecting lifetime building thermal insulation failures.
Integr. Comput. Aided Eng., 2010

Evaluating the Low Quality Measurements in Lighting Control Systems.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2010

Low Quality Data Management for Optimising Energy Efficiency in Distributed Agents.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2010

Improving enterprise resource planning results using knowledge extraction and learning.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Modelling of Heat Flux in Building Using Soft-Computing Techniques.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Analysing the Low Quality of the Data in Lighting Control Systems.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
A Soft Computing System for Modelling the Manufacture of Steel Components.
Proceedings of the Computer Recognition Systems 3, 2009

The application of a two-step AI model to an automated pneumatic drilling process.
Int. J. Comput. Math., 2009

A fuzzy logic based efficient energy saving approach for domestic heating systems.
Integr. Comput. Aided Eng., 2009

Taximeter verification using imprecise data from GPS.
Eng. Appl. Artif. Intell., 2009

Efficiency in Electrical Heating Systems: An MAS Real World Application.
Proceedings of the 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2009

A Soft Computing System to Perform Face Milling Operations.
Proceedings of the Distributed Computing, 2009

Improving Energy Efficiency in Buildings Using Machine Intelligence.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A Thermodynamical Model Study for an Energy Saving Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
A Feature Selection Method Using a Fuzzy Mutual Information Measure.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms.
Inf. Sci., 2008

Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data.
Int. J. Approx. Reason., 2008

AI for Modelling the Laser Milling of Copper Components.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Minimizing Energy Consumption in Heating Systems under Uncertainty.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Conventional Methods and AI models for Solving an Industrial an Industrial Problem.
Proceedings of the EMS 2008, 2008

2007
Energy Saving by Means of Fuzzy Systems.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Some Results about Mutual Information-based Feature Selection and Fuzzy Discretization of Vague Data.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Genetic Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2004
A web-based multi-agent system approach to document engineering.
Int. J. Web Eng. Technol., 2004


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