Andrés L. Suárez-Cetrulo

According to our database, Andrés L. Suárez-Cetrulo authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction.

Rajnish Rakholia, Andrés L. Suárez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

IEEE Access, 2024

Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models.

Eric Arazo, Hristo Stoev, Cristian Bosch, Andrés L. Suárez-Cetrulo, Ricardo Simon Carbajo

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods.

Luis Miralles-Pechuán, Ankit Kumar, Andrés L. Suárez-Cetrulo

Expert Syst. J. Knowl. Eng., July, 2023

A survey on machine learning for recurring concept drifting data streams.

Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes

Expert Syst. Appl., 2023

2021

Modelling the COVID-19 Virus Evolution With Incremental Machine Learning.

Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán

Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

2020

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.

Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana

Expert Syst. Appl., 2020

2019

Incremental Market Behavior Classification in Presence of Recurring Concepts.

Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana

Entropy, 2019

2017

An online classification algorithm for large scale data streams: iGNGSVM.

Andrés L. Suárez-Cetrulo, Alejandro Cervantes

Neurocomputing, 2017