Publications

For details of the publication list, please visit: Google Scholar, and ResearchGate.

Journal Publications:

  1. Rafsanjani Muhammod, S. Ahmed, DM Farid, S. Shatabda, A. Sharma, and A. Dehzangi “PyFeat: A Python-based Effective Feature Generation Tool for DNA, RNA, and Protein Sequences” [ Accepted in Bioinformatics, IF: 5.48, DOI: 10.1093/bioinformatics/btz165, GitHub Repository ] [ Download PDF ]

  2. Md Rafsan Jani, MTK Mozlish, S Ahmed, DM Farid, and S Shatabda “iRecSpot-EF: Effective Sequence Based Features for Recombination Hotspot Prediction” [ Accepted in Computers in Biology and Medicine, IF: 2.29, DOI: doi.org/10.1016/j.compbiomed.2018.10.005, Webserver ] [ Download PDF ]

  3. MS Rahman, U Aktar, Md Rafsan Jani, and S Shatabda “iPromoter-FSEn: Identification of Bacterial sigma70 Promoter Sequences Using Feature Subspace Based Ensemble Classifier” [ Accepted in Genomics, IF: 3.16, DOI: doi.org/10.1016/j.ygeno.2018.07.011, Webserver ] [ Download PDF ]

  4. MS Rahman, U Aktar, Md Rafsan Jani, and S Shatabda “iPro70-FMWin: Identifying Sigma70 Promoters Using Multiple Windowing and Minimal Features” [ Accepted in Molecular Genetics and Genomics, IF: 2.88, DOI: doi.org/10.1007/s00438-018-1487-5, Webserver ] [ Download PDF ]


Book Chapters:

  1. 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 ]

Conference Publications:

  1. 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 ]

  2. 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 ]

  3. 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 ]

  4. 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 ]