M. Saifur Rahman

According to our database, M. Saifur Rahman authored at least 18 papers between 2011 and 2026.

Collaborative distances:

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

2026

The Art of Saying "Maybe": A Conformal Lens for Uncertainty Benchmarking in VLMs.

Asif Azad, Mohammad Sadat Hossain, MD Sadik Hossain Shanto, M. Saifur Rahman, Md. Rizwan Parvez

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Align Where the Words Look: Cross-Attention-Guided Patch Alignment with Contrastive and Transport Regularization for Bengali Captioning.

Riad Ahmed Anonto, Sardar Md. Saffat Zabin, M. Saifur Rahman

CoRR, September, 2025

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data.

Joydeb Kumar Sana, Mohammad M. Masud, M. Sohel Rahman, M. Saifur Rahman

CoRR, June, 2025

DeepRNA-Twist: language-model-guided RNA torsion angle prediction with attention-inception network.

Abrar Rahman Abir, Md Toki Tahmid, Rafiqul Islam Rayan, M. Saifur Rahman

Briefings Bioinform., May, 2025

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection.

MD Sadik Hossain Shanto, Mahir Labib Dihan, Souvik Ghosh, Riad Ahmed Anonto, Hafijul Hoque Chowdhury, Abir Muhtasim, Rakib Ahsan, Md Tanvir Hassan, Md Roqunuzzaman Sojib, Sheikh Azizul Hakim, M. Saifur Rahman

CoRR, January, 2025

Privacy-preserving customer churn prediction model in the context of telecommunication industry.

Joydeb Kumar Sana, M. Sohel Rahman, M. Saifur Rahman

Eng. Appl. Artif. Intell., 2025

LOCAS: multilabel mRNA localization with supervised contrastive learning.

Abrar Rahman Abir, Md Toki Tahmid, M. Saifur Rahman

Briefings Bioinform., 2025

Inceptive Transformers: Enhancing Contextual Representations through Multi-Scale Feature Learning Across Domains and Languages.

Asif Shahriar, Rifat Shahriyar, M. Saifur Rahman

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Beyond Accuracy: Enhancing Parkinson's Diagnosis with Uncertainty Quantification of Machine Learning Models.

Asif Azad, Md. Saiful Islam, Mohammed E. Hoque, M. Saifur Rahman

Proceedings of the Artificial Intelligence in Healthcare - Second International Conference, 2025

2024

StackDPP: a stacking ensemble based DNA-binding protein prediction model.

Sheikh Hasib Ahmed, Dibyendu Brinto Bose, Rafi Khandoker, M. Saifur Rahman

BMC Bioinform., December, 2024

Gradient-guided discrete walk-jump sampling for biological sequence generation.

Zarif Ikram, Dianbo Liu, M. Saifur Rahman

Trans. Mach. Learn. Res., 2024

2023

Succinylated lysine residue prediction revisited.

Shehab Sarar Ahmed, Zaara Tasnim Rifat, M. Saifur Rahman, M. Sohel Rahman

Briefings Bioinform., January, 2023

PULSAR: Graph based Positive Unlabeled Learning with Multi Stream Adaptive Convolutions for Parkinson's Disease Recognition.

Md. Zarif Ul Alam, Md. Saiful Islam, Ehsan Hoque, M. Saifur Rahman

CoRR, 2023

2021

Internet of Things (IoT) for MC-CDMA-Based Cognitive Radio Network (CRN) in 5G: Performance Results.

M. R. H. Khan, M. A. Hoque, M. Saifur Rahman

J. Inf. Knowl. Manag., 2021

System Imperfections on the Overall Performance of MC-CDMA-Based Cognitive Radio Network (CRN) System.

M. R. H. Khan, M. A. Hoque, Md. Taslim Reza, M. Saifur Rahman

J. Circuits Syst. Comput., 2021

Linking Tweets Towards Geo-Localized Policies: COVID-19 Perspective.

Sheikh Saifur Rahman Jony, Rifat Shahriyar, M. Saifur Rahman, M. Sohel Rahman, Tanvir Alam

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2012

An analytical technique for solving a class of strongly nonlinear conservative systems.

Md. Alal Hosen, M. Saifur Rahman, M. Shamsul Alam, M. Ruhul Amin

Appl. Math. Comput., 2012

2011

An analytical technique to find approximate solutions of nonlinear damped oscillatory systems.

M. Shamsul Alam, Kamalesh Chandra Roy, M. Saifur Rahman, Md. Mossaraf Hossain

J. Frankl. Inst., 2011