Mirko Fáñez

According to our database, Mirko Fáñez authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices.

Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José R. Villar, Víctor M. González

Log. J. IGPL, March, 2023

2022

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

Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho

Neurocomputing, 2022

Improving wearable-based fall detection with unsupervised learning.

Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano

Log. J. IGPL, 2022

Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation.

Enrique A. de la Cal, Mirko Fáñez, M. Dolores Apolo, Andrés García-Gómez, Víctor M. González

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021

Mixing user-centered and generalized models for Fall Detection.

Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh

Neurocomputing, 2021

2020

Transfer learning and information retrieval applied to fall detection.

Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Javier Sedano, Víctor Manuel González Suárez

Expert Syst. J. Knowl. Eng., 2020

A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset.

Enrique A. de la Cal, Mirko Fáñez, Alvaro DaSilva, José Ramón Villar, Javier Sedano, Víctor M. González Suárez

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.

José Ramón Villar, Mario Villar, Mirko Fáñez, Enrique A. de la Cal, Javier Sedano

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

A Simple Classification Ensemble for ADL and Falls.

Enrique A. de la Cal, Mirko Fáñez, Mario Villar, José Ramón Villar, Víctor M. González Suárez

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

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

José Ramón Villar, Enrique A. de la Cal, Mirko Fáñez, Víctor M. González, Javier Sedano

Prog. Artif. Intell., 2019

Feature Clustering to Improve Fall Detection: A Preliminary Study.

Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano

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.

Enrique A. de la Cal, Alvaro DaSilva, Mirko Fáñez, José Ramón Villar, Javier Sedano, Víctor M. González Suárez

Proceedings of the Intelligent Systems Design and Applications, 2019