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Journal Articles
- 2023
[j5]Luis Miralles-Pechuán
, Ankit Kumar, Andrés L. Suárez-Cetrulo:
Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods. Expert Syst. J. Knowl. Eng. 40(6) (2023)- [j4]Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes:
A survey on machine learning for recurring concept drifting data streams. Expert Syst. Appl. 213(Part): 118934 (2023) - 2020
- [j3]Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana:
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Syst. Appl. 149: 113250 (2020) - 2019
- [j2]Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana:
Incremental Market Behavior Classification in Presence of Recurring Concepts. Entropy 21(1): 25 (2019) - 2017
- [j1]Andrés L. Suárez-Cetrulo, Alejandro Cervantes:
An online classification algorithm for large scale data streams: iGNGSVM. Neurocomputing 262: 67-76 (2017)
Conference and Workshop Papers
- 2021
- [c1]Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán:
Modelling the COVID-19 Virus Evolution With Incremental Machine Learning. AICS 2021: 1-12
Informal and Other Publications
- 2021
- [i1]Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán:
Modelling the COVID-19 virus evolution with Incremental Machine Learning. CoRR abs/2104.09325 (2021)
Coauthor Index
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