Mohammad Arifur Rahman

According to our database, Mohammad Arifur Rahman authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation.

Mohammad Arifur Rahman, M. Manzur Murshed, Shyh Wei Teng, Manoranjan Paul

CoRR, 2024

2023

Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function.

Md Tahmid Hossain, Shyh Wei Teng, Guojun Lu, Mohammad Arifur Rahman, Ferdous Sohel

Neurocomputing, June, 2023

2020

Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL).

Mohammad Arifur Rahman, Nathan LaPierre, Huzefa Rangwala

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data.

Mohammad Arifur Rahman, Huzefa Rangwala

Bioinform., 2020

2018

RegMIL: Phenotype Classification from Metagenomic Data.

Mohammad Arifur Rahman, Huzefa Rangwala

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Metagenome sequence clustering with hash-based canopies.

Mohammad Arifur Rahman, Nathan Lapierre, Huzefa Rangwala, Daniel Barbará

J. Bioinform. Comput. Biol., 2017

2016

CAMIL: Clustering and Assembly with Multiple Instance Learning for phenotype prediction.

Nathan LaPierre, Mohammad Arifur Rahman, Huzefa Rangwala

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016