MEBoost: Mixing estimators with boosting for imbalanced data classification. - Farshid Rayhan; Sajid Ahmed; Asif Mahbub; Md. Rafsan Jani; Swakkhar Shatabda; Dewan Md. Farid 001; Chowdhury Mofizur Rahman (SKIMA, 2017)

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting. - Farshid Rayhan; Sajid Ahmed; Swakkhar Shatabda; Dewan Md. Farid; Zaynab Mousavian; Abdollah Dehzangi; M. Sohel Rahman (CoRR, 2017)

LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification. - Sajid Ahmed; Farshid Rayhan; Asif Mahbub; Md. Rafsan Jani; Swakkhar Shatabda; Dewan Md. Farid; Chowdhury Mofizur Rahman (CoRR, 2017)

CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification. - Farshid Rayhan; Sajid Ahmed; Asif Mahbub; Md. Rafsan Jani; Swakkhar Shatabda; Dewan Md. Farid (CoRR, 2017)

MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification. - Farshid Rayhan; Sajid Ahmed; Asif Mahbub; Md. Rafsan Jani; Swakkhar Shatabda; Dewan Md. Farid; Chowdhury Mofizur Rahman (CoRR, 2017)

FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction. - Farshid Rayhan; Sajid Ahmed; Zaynab Mousavian; Dewan Md. Farid; Swakkhar Shatabda (CoRR, 2018)

Not all points are created equal - an anisotropic cost function for facial landmark location. - Farshid Rayhan; Aphrodite Galata; Timothy F. Cootes (BMVC, 2020)

ChoiceNet: CNN learning through choice of multiple feature map representations. - Farshid Rayhan; Aphrodite Galata; Tim F. Cootes (Pattern Anal. Appl., 2021)