MultiResUNet: Rethinking the U-Net architecture for multimodal biomedical image segmentation N Ibtehaz, MS Rahman Neural Networks 121, 74-87, 2020 | 1711 | 2020 |
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages T Hasan, A Bhattacharjee, MS Islam, K Samin, YF Li, YB Kang, ... arXiv preprint arXiv:2106.13822, 2021 | 241 | 2021 |
Solving the multidimensional multiple-choice knapsack problem by constructing convex hulls MM Akbar, MS Rahman, M Kaykobad, EG Manning, GC Shoja Computers & operations research 33 (5), 1259-1273, 2006 | 212 | 2006 |
A Random Forest based predictor for medical data classification using feature ranking MZ Alam, MS Rahman, MS Rahman Informatics in Medicine Unlocked 15, 100180, 2019 | 209 | 2019 |
Transit network design by genetic algorithm with elitism MA Nayeem, MK Rahman, MS Rahman Transportation Research Part C: Emerging Technologies 46, 30-45, 2014 | 187 | 2014 |
DPP-PseAAC: A DNA-binding protein prediction model using Chou’s general PseAAC MS Rahman, S Shatabda, S Saha, M Kaykobad, MS Rahman Journal of theoretical biology 452, 22-34, 2018 | 147 | 2018 |
COVID-19 infection localization and severity grading from chest X-ray images AM Tahir, MEH Chowdhury, A Khandakar, T Rahman, Y Qiblawey, ... Computers in biology and medicine 139, 105002, 2021 | 144 | 2021 |
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations MS Shamil, F Farheen, N Ibtehaz, IM Khan, MS Rahman Cognitive Computation, 1-12, 2021 | 138 | 2021 |
Accurate phylogenetic tree reconstruction from quartets: A heuristic approach R Reaz, MS Bayzid, MS Rahman PloS one 9 (8), e104008, 2014 | 133 | 2014 |
Banglabert: Lagnuage model pretraining and benchmarks for low-resource language understanding evaluation in bangla A Bhattacharjee, T Hasan, WA Uddin, K Mubasshir, MS Islam, A Iqbal, ... Findings of the North American Chapter of the Association for Computational …, 2022 | 130 | 2022 |
iDTI-ESBoost: identification of drug target interaction using evolutionary and structural features with boosting F Rayhan, S Ahmed, S Shatabda, DM Farid, Z Mousavian, A Dehzangi, ... Scientific reports 7 (1), 17731, 2017 | 109 | 2017 |
An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning R Chowdhury, MA Rahman, MS Rahman, MRC Mahdy Physica A: Statistical Mechanics and its Applications 551, 124569, 2020 | 107 | 2020 |
On Hamiltonian cycles and Hamiltonian paths MS Rahman, M Kaykobad Information Processing Letters 94 (1), 37-41, 2005 | 99 | 2005 |
Solving the multi-objective Vehicle Routing Problem with Soft Time Windows with the help of bees S Iqbal, M Kaykobad, MS Rahman Swarm and evolutionary computation 24, 50-64, 2015 | 95 | 2015 |
CRISPRpred: a flexible and efficient tool for sgRNAs on-target activity prediction in CRISPR/Cas9 systems MK Rahman, MS Rahman PloS one 12 (8), e0181943, 2017 | 84 | 2017 |
Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants S Iqbal, E Pérez-Palma, JB Jespersen, P May, D Hoksza, HO Heyne, ... Proceedings of the National Academy of Sciences 117 (45), 28201-28211, 2020 | 74 | 2020 |
New efficient algorithms for the LCS and constrained LCS problems CS Iliopoulos, MS Rahman Information Processing Letters 106 (1), 13-18, 2008 | 73 | 2008 |
An ensemble learning based approach for impression fraud detection in mobile advertising CMR Haider, A Iqbal, AH Rahman, MS Rahman Journal of Network and Computer Applications 112, 126-141, 2018 | 72 | 2018 |
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks A Rahman, H Zunair, MS Rahman, JQ Yuki, S Biswas, MA Alam, NB Alam, ... arXiv preprint arXiv:1907.10418, 2019 | 61 | 2019 |
Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks N Ibtehaz, S Mahmud, MEH Chowdhury, A Khandakar, MA Ayari, A Tahir, ... arXiv preprint arXiv:2005.01669, 2020 | 60 | 2020 |