A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines. - Iago Xabier Vázquez; José Ramón Villar 001; Javier Sedano; Svetlana Simic; Enrique A. de la Cal (HAIS, 2019)

A Preliminary Study on Multivariate Time Series Clustering. - Iago Xabier Vázquez; José Ramón Villar 001; Javier Sedano; Svetlana Simic (SOCO, 2019)

A Comparison of Multivariate Time Series Clustering Methods. - Iago Xabier Vázquez; José Ramón Villar 001; Javier Sedano; Svetlana Simic (SOCO, 2020)

An ensemble solution for multivariate time series clustering. - Iago Xabier Vázquez; José Ramón Villar 001; Javier Sedano; Svetlana Simic; Enrique A. de la Cal (Neurocomputing, 2021)

Low Consumption Models for Disease Diagnosis in Isolated Farms. - Iago Xabier Vázquez; Ángel Miguel García-Vico; Huseyin Seker; Javier Sedano (IDEAL (1), 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)

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., 2025)