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Jhoan Keider Hoyos-Osorio

Keider Hoyos-Osorio – Keider Hoyos – J. Hoyos-Osorio

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2020 – today

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2023
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  - journals/corr/abs-2301-08164
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Oscar Skean, Jhoan Keider Hoyos-Osorio, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo:
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies. CoRR abs/2301.08164 (2023)
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  - journals/corr/abs-2305-16446
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Jhoan Keider Hoyos-Osorio, Luis G. Sánchez Giraldo:
The Representation Jensen-Shannon Divergence. CoRR abs/2305.16446 (2023)
2022
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  - conf/icassp/OsorioSBG22
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Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo:
The Representation Jensen-Rényi Divergence. ICASSP 2022: 4313-4317
2021
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J. Hoyos-Osorio, A. Álvarez-Meza, Genaro Daza-Santacoloma, Álvaro-Ángel Orozco-Gutierrez, Germán Castellanos-Domínguez:
Relevant information undersampling to support imbalanced data classification. Neurocomputing 436: 136-146 (2021)
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  - journals/corr/abs-2112-01583
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Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo:
The Representation Jensen-Rényi Divergence. CoRR abs/2112.01583 (2021)

2010 – 2019

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2018
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A. Valencia-Alzate, J. Castañeda-Gonzalez, J. Hoyos-Osorio, Genaro Daza-Santacoloma, Álvaro Ángel Orozco-Guitiérrez:
Emotion Recognition with Ensemble Using mRMR-Based Feature Selection. CIARP 2018: 837-845
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Keider Hoyos, Jorge Fernández, Beatriz Martinez, Óscar Alberto Henao, Álvaro Orozco, Genaro Daza:
Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach. IWAIPR 2018: 280-287
2017
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Keider Hoyos-Osorio, Andrés M. Álvarez, Álvaro Á. Orozco, Jorge I. Ríos, Genaro Daza-Santacoloma:
Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias. CIARP 2017: 298-305

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