Andrés L. Suárez-Cetrulo

23 papers Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A growing concept history of recurring classifiers for high-frequency data streams.
Neurocomputing
Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2026 J jnl
An Open-Source AI-as-a-Service Framework for Federated, Efficient, and Drift-Robust Learning in the Continuum Edge-Cloud.
IEEE Access
Sebastián Andrés Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Romila Ghosh, Anastasios E. Giannopoulos, Alex Barceló, Ricardo Simón Carbajo
2026 J jnl
Offloading artificial intelligence workloads across the computing continuum by means of active storage systems.
Future Gener. Comput. Syst.
Alex Barceló, Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Romila Ghosh, Ricardo Simón Carbajo, Anna Queralt
2025 J jnl
AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing.
IEEE Access
Rajnish Rakholia, Andrés L. Suárez-Cetrulo, Manokamna Singh, Ricardo Simón Carbajo
2025 J jnl
Adaptive Machine Learning for Resource-Constrained Environments.
CoRR
Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
2025 J jnl
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts.
CoRR
Miguel Aspis, Sebastián A. Cajas Ordóñez, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
2025 — conf
ICOS: An Intelligent MetaOS for the Continuum.
MECC@EuroSys
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
2025 J jnl
Integrating AI and IoT for Predictive Maintenance in Industry 4.0 Manufacturing Environments: A Practical Approach.
Inf.
Rajnish Rakholia, Andrés L. Suárez-Cetrulo, Manokamna Singh, Ricardo Simón Carbajo
2025 J jnl
Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications.
Future Internet
Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
2025 J jnl
Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems.
CoRR
Alex Barceló, Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Romila Ghosh, Ricardo Simón Carbajo, Anna Queralt
2025 J jnl
ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets.
CoRR
Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2024 — conf
Adaptive Machine Learning for Resource-Constrained Environments.
DELTA
Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
2024 J jnl
Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction.
IEEE Access
Rajnish Rakholia, Andrés L. Suárez-Cetrulo, Manokamna Singh, Ricardo Simón Carbajo
2024 J jnl
Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review.
Int. J. Interact. Multim. Artif. Intell.
Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes
2024 — conf
Placing Computational Tasks Within Edge-Cloud Continuum: A DRL Delay Minimization Scheme.
Euro-Par Workshops (2)
Anastasios E. Giannopoulos, Andrés L. Suárez-Cetrulo, Xavi Masip-Bruin, Francesco D'Andria, Panagiotis Trakadas
2024 — conf
Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models.
xAI (1)
Eric Arazo, Hristo Stoev, Cristian Bosch, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
2023 J jnl
A survey on machine learning for recurring concept drifting data streams.
Expert Syst. Appl.
Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes
2023 J jnl
Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods.
Expert Syst. J. Knowl. Eng.
Luis Miralles-Pechuán, Ankit Kumar, Andrés L. Suárez-Cetrulo
2021 — conf
Modelling the COVID-19 Virus Evolution With Incremental Machine Learning.
AICS
Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán
2021 J jnl
Modelling the COVID-19 virus evolution with Incremental Machine Learning.
CoRR
Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán
2020 J jnl
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.
Expert Syst. Appl.
Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2019 J jnl
Incremental Market Behavior Classification in Presence of Recurring Concepts.
Entropy
Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana
2017 J jnl
An online classification algorithm for large scale data streams: iGNGSVM.
Neurocomputing
Andrés L. Suárez-Cetrulo, Alejandro Cervantes