Iago Xabier Vázquez

According to our database, Iago Xabier Vázquez authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series.

Iago Xabier Vázquez, Javier Sedano, Muhammad Afzal, Ángel Miguel García-Vico

CoRR, October, 2025

Application of spiking neural networks and traditional artificial neural networks for solar radiation forecasting in photovoltaic systems in Arab countries.

Bahgat Ayasi, Iago Xabier Vázquez, Mohammed Saleh, Ángel Miguel García-Vico, Cristóbal J. Carmona

Neural Comput. Appl., May, 2025

Beyond Titles: Semantic Matching of Jobs and Skills Using LLMs and S-BERT.

Iago Xabier Vázquez, Rodrigo Sedano, Silvia González, Javier Sedano

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

2024

Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites.

Iago Xabier Vázquez, Bahgat Ayasi, Huseyin Seker, Julián Luengo, Javier Sedano, Ángel Miguel García-Vico

Appl. Soft Comput., 2024

Low Consumption Models for Disease Diagnosis in Isolated Farms.

Iago Xabier Vázquez, Ángel Miguel García-Vico, Huseyin Seker, Javier Sedano

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2021

An ensemble solution for multivariate time series clustering.

Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal

Neurocomputing, 2021

2020

A Comparison of Multivariate Time Series Clustering Methods.

Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019

A Preliminary Study on Multivariate Time Series Clustering.

Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines.

Iago Xabier Vázquez, José Ramón Villar, Javier Sedano, Svetlana Simic, Enrique A. de la Cal

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019