| 2020 | CHIIR | Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. | Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut |
| 2020 | ETRA | Towards Real-time Webpage Relevance Prediction UsingConvex Hull Based Eye-tracking Features. | Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka |
| 2019 | GECCO | A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. | Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit, Monalisa Pal, Michal Wlasnowolski, Anasua Sarkar, Ujjwal Maulik, Dariusz Plewczynski |
| 2019 | ICAISC | Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. | Somnath Rakshit, Indrajit Saha, Michal Wlasnowolski, Ujjwal Maulik, Dariusz Plewczynski |
| 2019 | Tencon | Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes. | Indrajit Saha, Somnath Rakshit, Michal Wlasnowolski, Dariusz Plewczynski |
| 2018 | Tencon | Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data. | Somnath Rakshit, Indrajit Saha, Subha Shankar Chakraborty, Dariusz Plewczynski |
| 2018 | Tencon | Machine Learning for Object Labelling. | Indrajit Saha, Somnath Rakshit, Tanay Ghosh |