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ORCIDVíctor M. González 0002
Person information
- affiliation: University of Oviedo, Control and Automatica Department, Spain
Other persons with the same name
- Víctor M. González — disambiguation page
- Víctor M. González 0001
![[0000-0002-3809-6306]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3809-6306")
— Instituto Tecnológico Autonomo de México (ITAM), Mexico City, México (and 2 more)
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Journal Articles
- 2025
[j21]Ángel Río-Álvarez, Pablo García Marcos, Paula Puerta González, Esther Serrano-Pertierra, Antonello Novelli, María Teresa Fernández-Sánchez, Víctor M. González:
Evaluating deep learning techniques for optimal neurons counting and characterization in complex neuronal cultures. Medical Biol. Eng. Comput. 63(2): 545-560 (2025)- [j20]Fernando Moncada Martins, Víctor M. González, José R. Villar, Beatriz García-López, Ana Isabel Gómez-Menéndez:
Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis. Mach. Learn. Sci. Technol. 6(1): 15034 (2025) - 2023
- [j19]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) - [j18]Fernando Moncada Martins, Sofía Martín, Víctor M. González, Víctor M. Álvarez, Beatriz García-López, Ana Isabel Gómez-Menéndez, José R. Villar:
Virtual reality and machine learning in the automatic photoparoxysmal response detection. Neural Comput. Appl. 35(8): 5643-5659 (2023) - [j17]Fernando Moncada Martins, Víctor Manuel González Suárez, José Ramón Villar Flecha, Beatriz García-López:
Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses. Sensors 23(4): 2312 (2023) - 2022
- [j16]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) - 2021
- [j15]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) - [j14]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) - 2020
- [j13]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) - 2019
- [j12]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) - 2018
- [j11]P. J. García Nieto, Esperanza García Gonzalo, Juan Carlos Álvarez Antón, Víctor M. González Suárez, Ricardo Mayo Bayón, Felipe Mateos Martín:
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. 330: 877-895 (2018) - [j10]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) - 2017
- [j9]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) - [j8]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) - 2016
- [j7]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) - 2015
- [j6]P. J. García Nieto, José Ramón Alonso Fernández, Víctor M. González Suárez, Cristina Díaz Muñiz, Esperanza García Gonzalo, Ricardo Mayo Bayón:
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. 260: 170-187 (2015) - [j5]P. J. García Nieto, José Ramón Alonso Fernández, Esperanza García Gonzalo, Cristina Díaz Muñiz, Ricardo Mayo Bayón, Víctor M. González Suárez:
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 30: 49-59 (2015) - [j4]Fernando Sánchez Lasheras, Paulino José García Nieto, Francisco Javier de Cos Juez, Ricardo Mayo Bayón, Víctor Manuel González Suárez:
A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines. Sensors 15(3): 7062-7083 (2015) - [j3]Borja Fernandez Adiego, Dániel Darvas, Enrique Blanco Viñuela, Jean-Charles Tournier, Simon Bliudze, Jan Olaf Blech, Víctor Manuel González Suárez:
Applying Model Checking to Industrial-Sized PLC Programs. IEEE Trans. Ind. Informatics 11(6): 1400-1410 (2015) - 2014
- [j2]Ricardo Mayo Bayón, Víctor M. González Suárez, Felipe Mateos Martín, Juan M. Lopera Ronda, Juan Carlos Álvarez Antón:
A Wireless Portable High Temperature Data Monitor for Tunnel Ovens. Sensors 14(8): 14712-14731 (2014) - 2001
- [j1]Felipe Mateos, Antonio M. López, Víctor M. González, José M. Enguita:
Improving laboratory training for automation and process control courses with a specifically designed testing software application. IEEE Trans. Educ. 44(2): 14 (2001)
Conference and Workshop Papers
- 2024
- [c19]David Fernández-Madera González, Fernando Moncada Martins, Víctor M. González, José R. Villar, Beatriz García-López, Ana Isabel Gómez-Menéndez:
Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data. HAIS (1) 2024: 16-28 - 2023
- [c18]Fernando Moncada Martins, Víctor M. González, José R. Villar, Beatriz García-López, Ana Isabel Gómez-Menéndez:
Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses. HAIS 2023: 743-754 - [c17]Paula Puerta, Berke Öztürk, Samad Barri Khojasteh, Víctor M. González, José R. Villar, Esther Serrano-Pertierra, Antonello Novelli, María Teresa Fernández-Sánchez, Ángel Río-Álvarez:
Neuron Characterization in Complex Cultures Using a Combined YOLO and U-Net Segmentation Approach. SOCO (1) 2023: 92-101 - 2022
- [c16]Fernando Moncada Martins, Víctor M. González, Beatriz García-López, 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 - 2021
- [c15]Fernando Moncada Martins, Víctor M. González, Víctor Álvarez, Beatriz García-López, José R. Villar:
A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals. CBMS 2021: 420-425 - [c14]Fernando Moncada Martins, Víctor M. González, Beatriz García-López, Víctor Álvarez, José R. Villar:
A Comparison of Blink Removal Techniques in EEG Signals. HAIS 2021: 355-366 - [c13]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 - 2020
- [c12]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 - [c11]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 - 2019
- [c10]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 - [c9]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
- [c8]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 - [c7]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 - 2015
- [c6]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 - 2014
- [c5]Dániel Darvas, Borja Fernandez Adiego, András Vörös, Tamás Bartha, Enrique Blanco Viñuela, Víctor M. González Suárez:
Formal Verification of Complex Properties on PLC Programs. FORTE 2014: 284-299 - [c4]Borja Fernandez Adiego, Dániel Darvas, Jean-Charles Tournier, Enrique Blanco Viñuela, Víctor M. González Suárez:
Bringing Automated Model Checking to PLC Program Development - a CERN Case Study. WODES 2014: 394-399 - 2013
- [c3]Borja Fernandez Adiego, Enrique Blanco Viñuela, Víctor M. González Suárez, Simon Bliudze:
Model-based automated testing of critical PLC programs. INDIN 2013: 722-727 - 2010
- [c2]Víctor M. González, Angel Luis Sierra Diaz, Pablo Garcia Fernandez, Alejandro Fernandez Junquera, Ricardo Mayo Bayón:
MIOOP. An object oriented programming paradigm approach on the IEC 61131 standard. ETFA 2010: 1-4 - 2004
- [c1]Víctor M. González, Felipe Mateos, Amos H. C. Ng:
MLAV: the Object-oriented Methodology of the Virtual Automation Lab. ICRA 2004: 5153-5158
Coauthor Index
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