Comparison of Deep Learning, Data Augmentation and Bag of-Visual-Words for Classification of Imbalanced Image Datasets. - Manisha Saini; Seba Susan (RTIP2R (1), 2018)

Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3. - Manisha Saini; Seba Susan (IbPRIA (1), 2019)

Deep transfer with minority data augmentation for imbalanced breast cancer dataset. - Manisha Saini; Seba Susan (Appl. Soft Comput., 2020)

Bag-of-Visual-Words codebook generation using deep features for effective classification of imbalanced multi-class image datasets. - Manisha Saini; Seba Susan (Multim. Tools Appl., 2021)

Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning. - Manisha Saini; Seba Susan (CISP-BMEI, 2022)

Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets. - Manisha Saini; Seba Susan (Comput. Biol. Medicine, 2022)

AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results. - Kien Nguyen 001; Clinton Fookes; Sridha Sridharan; Feng Liu 037; Xiaoming Liu 002; Arun Ross; Dana Michalski; Huy Nguyen; Debayan Deb; Mahak Kothari; Manisha Saini; Dawei Du; et al. (IJCB, 2023)

Hash based image indexing framework using deep earning. - Manisha Saini; Preeti Gupta; Harvinder Kaur (ICCCNT, 2023)

VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. - Manisha Saini; Seba Susan (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Tackling class imbalance in computer vision: a contemporary review. - Manisha Saini; Seba Susan (Artif. Intell. Rev., 2023)