| Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators S Alonso-Monsalve, AL Suárez-Cetrulo, A Cervantes, D Quintana Expert Systems with Applications 149, 113250, 2020 | 201 | 2020 |
| A survey on machine learning for recurring concept drifting data streams AL Suárez-Cetrulo, D Quintana, A Cervantes Expert Systems with Applications 213 (Part A), 118934, 2023 | 80 | 2023 |
| Wind power forecasting using ensemble learning for day-ahead energy trading AL Suárez-Cetrulo, L Burnham-King, D Haughton, R Simón Carbajo Renewable Energy 191, 685-698, 2022 | 29 | 2022 |
| Incremental Market Behavior Classification in Presence of Recurring Concepts AL Suárez-Cetrulo, A Cervantes, D Quintana Entropy 21 (1), 25, 2019 | 24 | 2019 |
| Forecasting COVID‐19 cases using dynamic time warping and incremental machine learning methods L Miralles‐Pechuán, A Kumar, AL Suárez‐Cetrulo Expert Systems 40 (6), e13237, 2023 | 12 | 2023 |
| An online classification algorithm for large scale data streams: iGNGSVM AL Suárez-Cetrulo, A Cervantes Neurocomputing, pp. 67-76, 2017 | 9 | 2017 |
| Modelling the COVID-19 Virus Evolution With Incremental Machine Learning AL Suárez-Cetrulo, A Kumar, L Miralles-Pechuán The 29th Irish Conference on Artificial Intelligence and Cognitive Science …, 2021 | 7 | 2021 |
| Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges and Future Direction R Rakholia, AL Suárez-Cetrulo, M Singh, R Simón Carbajo IEEE Access, 2024 | 3 | 2024 |
| Machine learning for financial prediction under regime change using technical analysis: A systematic review AL Suárez-Cetrulo, D Quintana, A Cervantes International Journal of Interactive Multimedia and Artificial Intelligence, 2023 | 2 | 2023 |
| : A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models E Arazo, H Stoev, C Bosch, AL Suárez-Cetrulo, R Simón-Carbajo World Conference on Explainable Artificial Intelligence, 370-382, 2024 | 1* | 2024 |
| AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing R Rakholia, AL Suárez-Cetrulo, M Singh, R Simón Carbajo IEEE Access, 2025 | | 2025 |
| Adaptive Machine Learning for Resource-Constrained Environments SA Cajas, AL Suárez-Cetrulo, J Samanta, R Simón Carbajo Discovering Drift Phenomena in Evolving Landscape (DELTA 2024), Workshop at …, 2024 | | 2024 |
| Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme A Giannopoulos, AL Suárez-Cetrulo, X Masip-Bruin, F D'Andria, ... Next steps in IoT-Edge-Cloud Continuum Evolution: Research and Practice …, 2024 | | 2024 |
| ICOS Data management, Intelligence and Security Layers (IT-1) H Ratkajec, AL Suárez-Cetrulo, A Barceló, I Paez, M Eržen, J Samanta, ... | | 2023 |
| ICOS Architecture Design (IT-1) A Volkov, F D’Andria, A Queralt, F Lordan, AL Suárez-Cetrulo, ... | | 2023 |
| ICOS Ecosystem: Technologies, requirements and state of the art (IT-1) A Volkov, M Fabián, F D’Andria, G Xilouris, N Dimitriou, M Plociennik, ... | | 2023 |
| Adaptive Algorithms for Classification on High-Frequency Data Streams: Application to Finance AL Suárez-Cetrulo, D Quintana, A Cervantes University Carlos III of Madrid, 2022 | | 2022 |
| Study and implementation in MOA of new incremental learning algorithms based on support vector machines AL Suárez-Cetrulo, A Cervantes Research Thesis, University Carlos III de Madrid, 2013 | | 2013 |
Alejandro Cervantes RoviraUniversidad Internacional de la Rioja (UNIR)unir.net의 이메일 확인됨
