An online classification algorithm for large scale data streams: iGNGSVM. - Andrés L. Suárez-Cetrulo; Alejandro Cervantes (Neurocomputing, 2017)

Incremental Market Behavior Classification in Presence of Recurring Concepts. - Andrés L. Suárez-Cetrulo; Alejandro Cervantes; David Quintana (Entropy, 2019)

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)

Modelling the COVID-19 Virus Evolution With Incremental Machine Learning. - Andrés L. Suárez-Cetrulo; Ankit Kumar; Luis Miralles-Pechuán (AICS, 2021)

A survey on machine learning for recurring concept drifting data streams. - Andrés L. Suárez-Cetrulo; David Quintana; Alejandro Cervantes (Expert Syst. Appl., 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., 2023)

Adaptive Machine Learning for Resource-Constrained Environments. - Sebastián A. Cajas Ordóñez; Jaydeep Samanta; Andrés L. Suárez-Cetrulo; Ricardo Simon Carbajo (DELTA, 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 (Euro-Par Workshops (2), 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 (xAI (1), 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)

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)

ICOS: An Intelligent MetaOS for the Continuum. - Jordi Garcia 001; 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; et al. (MECC@EuroSys, 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)

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts. - Miguel Aspis; Sebastián A. Cajas Ordóñez; Andrés L. Suárez-Cetrulo; Ricardo Simon Carbajo (CoRR, 2025)