Publications
For details of the publication list, please visit:
Google Scholar and
ResearchGate.
Note: I use both
Md Rafsan Jani (Official) and
Rafsanjani Muhammod (Nickname) as my publication name.
Journal Publications:
[J7]. S. Ahmed*, Rafsanjani Muhammod*, et al. “ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides” [Published in Scientific Reports in 2021, IF: 5.133, DOI: doi.org/10.1038/s41598-021-02703-3] (* denotes the equal contribution) [Download PDF]
[J6]. O. Miah, Rafsanjani Muhammod, K.A. Mamuna, D.M. Farid, S. Kumar, A. Sharma, A. Dehzangi “CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data” [Published in Journal of Neuroscience Methods in 2021, IF: 2.785, DOI: doi.org/10.1016/j.jneumeth.2021.109373] [Download PDF]
[J5]. H.M. Haque*, Rafsanjani Muhammod*, F. Arifin*, S. Adilina, S. Shatabda “SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences” [Published in Computational Biology and Chemistry in 2021, IF: 2.877, DOI: 10.1016/j.compbiolchem.2021.107489] (* denotes the equal contribution) [Download PDF]
[J4]. Rafsanjani Muhammod*, S. Ahmed*, D.M. Farid, S. Shatabda, A. Sharma, and A. Dehzangi “PyFeat: A Python-based Effective Feature Generation
Tool for DNA, RNA, and Protein Sequences” [Published in Bioinformatics in 2020, IF: 6.937, DOI: 10.1093/bioinformatics/btz165, GitHub Repository] (* denotes the equal contribution) [Download PDF]
[J3]. Md Rafsan Jani, M.T.K. Mozlish, S. Ahmed, D.M. Farid, and S. Shatabda “iRecSpot-EF: Effective Sequence Based Features for Recombination Hotspot Prediction” [Published in Computers in Biology and Medicine in 2018, IF: 4.589, DOI: doi.org/10.1016/j.compbiomed.2018.10.005, Webserver] [Download PDF]
[J2]. M.S. Rahman, U. Aktar, Md Rafsan Jani, and S. Shatabda “iPro70-FMWin: Identifying Sigma70 Promoters Using Multiple Windowing and Minimal Features” [Published in Molecular Genetics and Genomics in 2018, IF: 3.291, DOI: doi.org/10.1007/s00438-018-1487-5, Webserver] [Download PDF]
[J1]. M.S. Rahman, U. Aktar, Md Rafsan Jani, and S. Shatabda “iPromoter-FSEn: Identification of Bacterial sigma70 Promoter Sequences Using Feature Subspace Based Ensemble Classifier” [Published in Genomics in 2018, IF: 5.736, DOI: doi.org/10.1016/j.ygeno.2018.07.011, Webserver] [Download PDF]
Conference Publications:
[C4]. F Rayhan, S Ahmed, A Mahbub, Md Rafsan Jani, S Shatabda, DM Farid and CM Rahman “MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification”, 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2017) [Download PDF]
[C3]. S Ahmed, F Rayhan, A Mahbub, Md Rafsan Jani, S Shatabda, DM Farid and CM Rahman “LIUBoost: Locality Informed Underboosting for Imbalanced Data Classification”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) [Download PDF]
[C2]. S Ahmed, A Mahbub, F Rayhan, Md Rafsan Jani, S Shatabda, and DM Farid “Hybrid Methods for Class Imbalance Learning Employing Bagging with Sampling Techniques”, 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS 2017) [Download PDF]
[C1]. F Rayhan, S Ahmed, A Mahbub, Md Rafsan Jani, S Shatabda, and DM Farid “CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification”, 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS 2017) [Download PDF]
Book Chapters:
[B1]. S Ahmed, F Rayhan, A Mahbub, Md Rafsan Jani, S Shatabda, DM Farid and CM Rahman “LIUBoost: Locality Informed Underboosting for Imbalanced Data Classification”, Emerging Technologies in Data Mining and Information Security by A. Abraham et al. (IEMIS 2018) [Download PDF]
Pre-print Publications:
[P2]. C. Rahman, M. Rahman, M. Rafsan, S. Zakir, M.E. Ali, Rafsanjani Muhammod “Revisiting CNN for Highly Inflected Bengali and Hindi Language Modeling”, arXiv (arXiv)
[P1]. C. Rahman, P. Arko, M. Ali, M. Khan, A. Wasif, Md Rafsan Jani and M. Kabir “Identification and Recognition of Rice Diseases and Pests Using Deep Convolutional Neural Networks” [arXiv, Download PDF]