Víctor M. González

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 19

Top Topics

Unsupervised Learning

Indoor Localization

Fuzzy Inference

Top Venues

Publications

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)
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) (2023)
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)
Fernando Moncada, 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) (2023)
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)
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) (2022)
Fernando Moncada, Víctor M. González, Beatriz García, Víctor Álvarez, José R. Villar
A Comparison of Blink Removal Techniques in EEG Signals. HAIS (2021)
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 (2021)
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 (2021)
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)
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)
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) (2019)
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)
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) (2018)
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)
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)
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 (2017)
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 (2017)
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) (2016)
José Ramón Villar, Manuel Menéndez, Javier Sedano, Enrique A. de la Cal, Víctor M. González
Analyzing Accelerometer Data for Epilepsy Episode Recognition. SOCO (2015)
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)
Víctor M. González, Felipe Mateos, Amos H. C. Ng
MLAV: the Object-oriented Methodology of the Virtual Automation Lab. ICRA (2004)
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) (2001)