Andrés L. Suárez-Cetrulo

According to our database, Andrés L. Suárez-Cetrulo authored at least 20 papers between 2017 and 2026.

Collaborative distances:

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

2026

A growing concept history of recurring classifiers for high-frequency data streams.

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

Neurocomputing, 2026

Offloading artificial intelligence workloads across the computing continuum by means of active storage systems.

Alex Barceló, Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Romila Ghosh, Ricardo Simón Carbajo, Anna Queralt

Future Gener. Comput. Syst., 2026

An Open-Source AI-as-a-Service Framework for Federated, Efficient, and Drift-Robust Learning in the Continuum Edge-Cloud.

Sebastián Andrés Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Romila Ghosh, Anastasios E. Giannopoulos, Alex Barceló, Ricardo Simón Carbajo

IEEE Access, 2026

2025

ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets.

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

CoRR, September, 2025

Integrating AI and IoT for Predictive Maintenance in Industry 4.0 Manufacturing Environments: A Practical Approach.

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

Inf., 2025

Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications.

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

Future Internet, 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 Simón Carbajo

IEEE Access, 2025

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

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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 Simón 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 Simón 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 Simón 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 Simón 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