3 citations · 5 across the 3 of their papers we have counts for
4 papers
Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems
Alex Barceló, Sebastián A. Cajas Ordoñez, Jaydeep Samanta +4
The increasing demand for artificial intelligence (AI) workloads across diverse computing environments has driven the need for more efficient data management strategies. Traditiona…
ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets
Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
Financial markets are complex, non-stationary systems where the underlying data distributions can shift over time, a phenomenon known as regime changes, as well as concept drift in…
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
Miguel Aspis, Sebastián A. Cajas Ordónez, Andrés L. Suárez-Cetrulo +1
Learning from non-stationary data streams subject to concept drift requires models that can adapt on-the-fly while remaining resource-efficient. Existing adaptive ensemble methods…
Modelling the COVID-19 virus evolution with Incremental Machine Learning
Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán
The investment of time and resources for better strategies and methodologies to tackle a potential pandemic is key to deal with potential outbreaks of new variants or other viruses…