2 papers
cs.AI2026
DenoGrad: A Gradient-Based Framework for Data Refinement in Tabular and Time-Series Learning
J. Javier Alonso-Ramos, Ignacio Aguilera-Martos, Francisco Herrera +1
In the Data-Centric Artificial Intelligence (AI) paradigm, improving data quality is essential for robust machine learning. However, many denoising methods rely on rigid statistica…
cs.LG2025
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo +1
Transformers have become the leading choice in natural language processing over other deep learning architectures. This trend has also permeated the field of time series analysis,…