Víctor M. González

Orcid: 0000-0002-0937-1882

Affiliations:
  • University of Oviedo, Control and Automatica Department, Spain


According to our database1, Víctor M. González authored at least 38 papers between 2001 and 2024.

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

Timeline

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Bibliography

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

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

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

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

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

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

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

A Comparison of Blink Removal Techniques in EEG Signals.
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
Transfer learning and information retrieval applied to fall detection.
Expert Syst. J. Knowl. Eng., 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

A Simple Classification Ensemble for ADL and Falls.
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

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

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

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

A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance.
J. Comput. Appl. Math., 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

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

2015
Applying Model Checking to Industrial-Sized PLC Programs.
IEEE Trans. Ind. Informatics, 2015

A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines.
Sensors, 2015

A new predictive model for the cyanotoxin content from experimental cyanobacteria concentrations in a reservoir based on the ABC optimized support vector machine approach: A case study in Northern Spain.
Ecol. Informatics, 2015

A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir: A case study in Northern Spain.
Appl. Math. Comput., 2015

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

2014
A Wireless Portable High Temperature Data Monitor for Tunnel Ovens.
Sensors, 2014

Bringing Automated Model Checking to PLC Program Development - a CERN Case Study.
Proceedings of the 12th International Workshop on Discrete Event Systems, 2014

Formal Verification of Complex Properties on PLC Programs.
Proceedings of the Formal Techniques for Distributed Objects, Components, and Systems, 2014

2013
Model-based automated testing of critical PLC programs.
Proceedings of the 11th IEEE International Conference on Industrial Informatics, 2013

2010
MIOOP. An object oriented programming paradigm approach on the IEC 61131 standard.
Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010

2004
MLAV: the Object-oriented Methodology of the Virtual Automation Lab.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2001
Improving laboratory training for automation and process control courses with a specifically designed testing software application.
IEEE Trans. Educ., 2001


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