Andrés L. Suárez-Cetrulo

According to our database, Andrés L. Suárez-Cetrulo authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts.

Miguel Aspis, Sebastián A. Cajas Ordóñez, Andrés L. Suárez-Cetrulo, Ricardo Simon Carbajo

CoRR, July, 2025

AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing.

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

IEEE Access, 2025

ICOS: An Intelligent MetaOS for the Continuum.

Jordi Garcia, Xavi Masip-Bruin, Anastasios E. Giannopoulos, Panagiotis Trakadas, Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simon Carbajo, Marc Michalke, Admela Jukan, Artur Jaworski, Marcin Kotlinski, Gabriele Giammatteo, Francesco D'Andria

Proceedings of the 2nd International Workshop on MetaOS for the Cloud-Edge-IoT Continuum, 2025

2024

Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review.

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

Int. J. Interact. Multim. Artif. Intell., 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

Placing Computational Tasks Within Edge-Cloud Continuum: A DRL Delay Minimization Scheme.

Anastasios E. Giannopoulos, Andrés L. Suárez-Cetrulo, Xavi Masip-Bruin, Francesco D'Andria, Panagiotis Trakadas

Proceedings of the Euro-Par 2024: Parallel Processing Workshops, 2024

Adaptive Machine Learning for Resource-Constrained Environments.

Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simon Carbajo

Proceedings of the Discovering Drift Phenomena in Evolving Landscapes, 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