Mohammad Arifur Rahman
Orcid: 0009-0001-2228-3086
According to our database1,
Mohammad Arifur Rahman
authored at least 9 papers
between 2016 and 2025.
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Bibliography
2025
Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation.
IEEE Access, 2025
2024
FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation.
CoRR, 2024
Addressing Limitations of Common Methods in Attention-Based Hyperspectral Band Selection Algorithms.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024
2023
Anti-aliasing deep image classifiers using novel depth adaptive blurring and activation function.
Neurocomputing, June, 2023
2020
Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL).
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data.
Bioinform., 2020
2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
J. Bioinform. Comput. Biol., 2017
2016
CAMIL: Clustering and Assembly with Multiple Instance Learning for phenotype prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016