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2020 – today
- 2023
[j5]Manisha Saini, Seba Susan
:
Tackling class imbalance in computer vision: a contemporary review. Artif. Intell. Rev. 56(S1): 1279-1335 (2023)- [j4]Manisha Saini, Seba Susan:
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 752-762 (2023) - [c5]Kien Nguyen, Clinton Fookes, Sridha Sridharan, Feng Liu, Xiaoming Liu, Arun Ross, Dana Michalski, Huy Nguyen, Debayan Deb, Mahak Kothari, Manisha Saini, Dawei Du, Scott McCloskey, Gabriel Bertocco, Fernanda A. Andaló, Terrance E. Boult, Anderson Rocha, Haidong Zhu, Zhaoheng Zheng, Ram Nevatia, Zaigham A. Randhawa, Sinan Sabri, Gianfranco Doretto:
AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results. IJCB 2023: 1-10 - [c4]Manisha Saini, Preeti Gupta, Harvinder Kaur:
Hash based image indexing framework using deep earning. ICCCNT 2023: 1-6 - 2022
- [j3]Manisha Saini, Seba Susan:
Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets. Comput. Biol. Medicine 149: 105989 (2022) - [c3]Manisha Saini, Seba Susan:
Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning. CISP-BMEI 2022: 1-6 - 2021
- [j2]Manisha Saini, Seba Susan:
Bag-of-Visual-Words codebook generation using deep features for effective classification of imbalanced multi-class image datasets. Multim. Tools Appl. 80(14): 20821-20847 (2021) - 2020
- [j1]Manisha Saini, Seba Susan:
Deep transfer with minority data augmentation for imbalanced breast cancer dataset. Appl. Soft Comput. 97(Part): 106759 (2020)
2010 – 2019
- 2019
- [c2]Manisha Saini, Seba Susan:
Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3. IbPRIA (1) 2019: 409-420 - 2018
- [c1]Manisha Saini, Seba Susan:
Comparison of Deep Learning, Data Augmentation and Bag of-Visual-Words for Classification of Imbalanced Image Datasets. RTIP2R (1) 2018: 561-571
Coauthor Index
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