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Amine M. Remita

Mohamed Amine Remita

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2020 – today

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2023
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Amine M. Remita, Golrokh Vitae, Abdoulaye Baniré Diallo:
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. RECOMB-CG 2023: 112-130
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  - journals/corr/abs-2302-02522
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Amine M. Remita, Golrokh Kiani Vitae, Abdoulaye Baniré Diallo:
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. CoRR abs/2302.02522 (2023)
2022
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Amine M. Remita, Abdoulaye Baniré Diallo:
EvoVGM: a deep variational generative model for evolutionary parameter estimation. BCB 2022: 1:1-1:10
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  - journals/corr/abs-2205-13034
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Amine M. Remita, Abdoulaye Baniré Diallo:
EvoVGM: A Deep Variational Generative Model for Evolutionary Parameter Estimation. CoRR abs/2205.13034 (2022)

2010 – 2019

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2019
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Dylan Lebatteux, Amine M. Remita, Abdoulaye Baniré Diallo:
Toward an Alignment-Free Method for Feature Extraction and Accurate Classification of Viral Sequences. J. Comput. Biol. 26(6): 519-535 (2019)
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Chao-Jung Wu, Amine M. Remita, Abdoulaye Baniré Diallo:
MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation. BCB 2019: 669-674
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Amine M. Remita, Abdoulaye Baniré Diallo:
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. BIBM 2019: 474-481
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  - journals/corr/abs-1910-05421
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Amine M. Remita, Abdoulaye Baniré Diallo:
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. CoRR abs/1910.05421 (2019)
2017
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Mohamed Amine Remita, Ahmed Halioui, Abou Abdallah Malick Diouara, Bruno Daigle, Golrokh Kiani, Abdoulaye Baniré Diallo:
A machine learning approach for viral genome classification. BMC Bioinform. 18(1): 208:1-208:11 (2017)

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