Andrés L. Suárez-Cetrulo

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 7

Top Topics

Machine Learning

Incremental Learning

Ensemble Classification

Top Venues

Expert Syst. Appl.

Expert Syst. J. Knowl. Eng.

Publications

Luis Miralles-Pechuán, Ankit Kumar, Andrés L. Suárez-Cetrulo
Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes
A survey on machine learning for recurring concept drifting data streams. Expert Syst. Appl. 213 (Part) (2023)
Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán
Modelling the COVID-19 virus evolution with Incremental Machine Learning. CoRR (2021)
Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán
Modelling the COVID-19 Virus Evolution With Incremental Machine Learning. AICS (2021)
Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Syst. Appl. 149 (2020)
Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
Incremental Market Behavior Classification in Presence of Recurring Concepts. Entropy 21 (1) (2019)
Andrés L. Suárez-Cetrulo, Alejandro Cervantes
An online classification algorithm for large scale data streams: iGNGSVM. Neurocomputing 262 (2017)