A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis. - Susmita Palmal; Nikhilanand Arya; Sriparna Saha 001; Somanath Tripathy (ICONIP (7), 2022)

HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers. - Susmita Palmal; Sriparna Saha 001; Somanath Tripathy (IJCNN, 2022)

Integrating Multi-view Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction. - Susmita Palmal; Sriparna Saha 001; Somanath Tripathy (ICONIP (10), 2023)

Multi-objective optimization with majority voting ensemble of classifiers for prediction of HIV-1 protease cleavage site. - Susmita Palmal; Sriparna Saha 001; Somanath Tripathy (Soft Comput., 2023)

Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest. - Susmita Palmal; Nikhilanand Arya; Sriparna Saha 001; Somanath Tripathy (Appl. Soft Comput., 2024)

CAGCL: Predicting Short- and Long-Term Breast Cancer Survival With Cross-Modal Attention and Graph Contrastive Learning. - Susmita Palmal; Sriparna Saha 001; Nikhilanad Arya; Somanath Tripathy (IEEE J. Biomed. Health Informatics, 2024)