A neuro-SVM model for text classification using latent semantic indexing. - Vikramjit Mitra; Chia-Jiu Wang; Satarupa Banerjee (IJCNN, 2005)

Lidar Signal Processing for Under-Water Object Detection. - Vikramjit Mitra; Chia-Jiu Wang; Satarupa Banerjee (ISNN (2), 2005)

Web Host Access Tool: A Support Vector Machine Approach. - Satarupa Banerjee; Lillian N. Cassel (IJCNN, 2006)

Lidar detection of underwater objects using a neuro-SVM-based architecture. - Vikramjit Mitra; Chia-Jiu Wang; Satarupa Banerjee (IEEE Trans. Neural Networks, 2006)

Text classification: A least square support vector machine approach. - Vikramjit Mitra; Chia-Jiu Wang; Satarupa Banerjee (Appl. Soft Comput., 2007)

Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. - Debdoot Sheet; Satarupa Banerjee; Sri Phani Krishna Karri; Swarnendu Bag; Anji Anura; Amita Giri; Ranjan Rashmi Paul; Mousumi Pal; Badal C. Sarkar; Ranjan Ghosh; Amin Katouzian; Nassir Navab; et al. (ISBI, 2014)

A reductionist approach to extract robust molecular markers from microarray data series - Isolating markers to track osseointegration. - Anwesha Barik; Satarupa Banerjee; Santanu Dhara; Nishant Chakravorty (J. Biomed. Informatics, 2017)

Identification of mRNA and non-coding RNA hubs using network analysis in organ tropism regulated triple negative breast cancer metastasis. - Satarupa Banerjee; Surya Radhika Kalyani Yabalooru; Devarajan Karunagaran (Comput. Biol. Medicine, 2020)

An integrated approach to understand the regulatory role of miR-27 family in breast cancer metastasis. - Sohini Chakraborty; Utpalendu Paul; Subhadeep Banerjee; Debanjan Saha; Satarupa Banerjee (Biosyst., 2024)

Comparative machine learning analysis for predicting organ tropism in breast cancer and identifying key gene signatures. - Sohini Chakraborty; Nidhi Shakhapur; Sathya K; Satarupa Banerjee (Comput. Biol. Medicine, 2025)