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Amine M. Remita
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2020 – today
- 2023
- [c4]Amine M. Remita
, Golrokh Vitae
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. RECOMB-CG 2023: 112-130 - [i3]Amine M. Remita, Golrokh Kiani Vitae, Abdoulaye Baniré Diallo:
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference. CoRR abs/2302.02522 (2023) - 2022
- [c3]Amine M. Remita
EvoVGM: a deep variational generative model for evolutionary parameter estimation. BCB 2022: 1:1-1:10 - [i2]Amine M. Remita, Abdoulaye Baniré Diallo:
EvoVGM: A Deep Variational Generative Model for Evolutionary Parameter Estimation. CoRR abs/2205.13034 (2022)
2010 – 2019
- 2019
- [j2]Dylan Lebatteux, Amine M. Remita
Toward an Alignment-Free Method for Feature Extraction and Accurate Classification of Viral Sequences. J. Comput. Biol. 26(6): 519-535 (2019) - [c2]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 - [c1]Amine M. Remita
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. BIBM 2019: 474-481 - [i1]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
- [j1]Mohamed Amine Remita
A machine learning approach for viral genome classification. BMC Bioinform. 18(1): 208:1-208:11 (2017)
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