10 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification
José Alberto Rodríguez, Luis Balderas, Miguel Lastra +2
Time Series Foundation Models (TSFMs) have become a new component of the state-of-the-art in general time series forecasting. However, adapting them to specialized classification t…
KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture
Luis Balderas, José Alberto Rodríguez, Miguel Lastra +2
Time Series Foundation Models (TSFMs) have demonstrated notable success in general-purpose forecasting tasks; however, their adaptation to specialized classification problems remai…
FSinR: an exhaustive package for feature selection
F. Aragón-Royón, A. Jiménez-Vílchez, A. Arauzo-Azofra +1
Feature Selection (FS) is a key task in Machine Learning. It consists in selecting a number of relevant variables for the model construction or data analysis. We present the R pack…