| Cusboost: Cluster-based under-sampling with boosting for imbalanced classification F Rayhan, S Ahmed, A Mahbub, R Jani, S Shatabda, DM Farid 2017 2nd international conference on computational systems and information …, 2017 | 120 | 2017 |
| 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 | 117 | 2017 |
| PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences R Muhammod, S Ahmed, D Md Farid, S Shatabda, A Sharma, A Dehzangi Bioinformatics 35 (19), 3831-3833, 2019 | 113 | 2019 |
| ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides S Ahmed, R Muhammod, ZH Khan, S Adilina, A Sharma, S Shatabda, ... Scientific reports 11 (1), 23676, 2021 | 72 | 2021 |
| Hybrid methods for class imbalance learning employing bagging with sampling techniques S Ahmed, A Mahbub, F Rayhan, R Jani, S Shatabda, DM Farid 2017 2nd International Conference on Computational Systems and Information …, 2017 | 59 | 2017 |
| iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters R Amin, CR Rahman, S Ahmed, MHR Sifat, MNK Liton, MM Rahman, ... Bioinformatics 36 (19), 4869-4875, 2020 | 53 | 2020 |
| MEBoost: mixing estimators with boosting for imbalanced data classification F Rayhan, S Ahmed, A Mahbub, MR Jani, S Shatabda, DM Farid, ... 2017 11th international conference on software, knowledge, information …, 2017 | 34 | 2017 |
| CFSBoost: cumulative feature subspace boosting for drug-target interaction prediction F Rayhan, S Ahmed, DM Farid, A Dehzangi, S Shatabda Journal of theoretical biology 464, 1-8, 2019 | 31 | 2019 |
| LIUBoost: locality informed under-boosting for imbalanced data classification S Ahmed, F Rayhan, A Mahbub, M Rafsan Jani, S Shatabda, DM Farid Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 29 | 2019 |
| iRecSpot-EF: effective sequence based features for recombination hotspot prediction MR Jani, MTK Mozlish, S Ahmed, NS Tahniat, DM Farid, S Shatabda Computers in biology and medicine 103, 17-23, 2018 | 23 | 2018 |
| Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors S Ahmed, Z Hossain, M Uddin, G Taherzadeh, A Sharma, S Shatabda, ... Computational and Structural Biotechnology Journal 18, 3528-3538, 2020 | 17 | 2020 |
Dewan Md. FaridProfessor of Computer Science, United International UniversityAdresse e-mail validée de cse.uiu.ac.bd