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Andrés L. Suárez-Cetrulo

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Journal Articles

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2023
[j5]
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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]
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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]
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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]
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Andrés L. Suárez-Cetrulo, Alejandro Cervantes, David Quintana:
Incremental Market Behavior Classification in Presence of Recurring Concepts. Entropy 21(1): 25 (2019)
2017
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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

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2021
[c1]
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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

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2021
[i1]
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  - journals/corr/abs-2104-09325
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Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán:
Modelling the COVID-19 virus evolution with Incremental Machine Learning. CoRR abs/2104.09325 (2021)

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