2 citations · 2 across the 4 of their papers we have counts for
5 papers
FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series
Donato Cerciello, Leonardo Schiavo, Angel Panizo-LLedot +2
In many realistic scenarios, large volumes of time series data are generated with limited or expensive annotations. This limitation makes supervised learning methods difficult to a…
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics
Inmaculada Santamaria-Valenzuela, Victor Rodriguez-Fernandez, Javier Huertas-Tato +2
The present study explores the interpretability of latent spaces produced by time series foundation models, focusing on their potential for visual analysis tasks. Specifically, we…
Exploring Scalability in Large-Scale Time Series in DeepVATS framework
Inmaculada Santamaria-Valenzuela, Victor Rodriguez-Fernandez, David Camacho
Visual analytics is essential for studying large time series due to its ability to reveal trends, anomalies, and insights. DeepVATS is a tool that merges Deep Learning (Deep) with…
Generative Design of Periodic Orbits in the Restricted Three-Body Problem
Alvaro Francisco Gil, Walther Litteri, Victor Rodriguez-Fernandez +2
The Three-Body Problem has fascinated scientists for centuries and it has been crucial in the design of modern space missions. Recent developments in Generative Artificial Intellig…
Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management
Emma Stevenson, Victor Rodriguez-Fernandez, Hodei Urrutxua +2
This paper presents a novel methodology for improving the performance of machine learning based space traffic management tasks through the use of a pre-trained orbit model. Taking…