Somnath Rakshit

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 13

Top Topics

Survival Analysis

Convolutional Neural Networks

Top Venues

GECCO (Companion)

Publications

Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka
Towards Real-time Webpage Relevance Prediction UsingConvex Hull Based Eye-tracking Features. ETRA Adjunct (2020)
Akash S. Doshi, Alexander Issa, Puneet Sachdeva, Sina Rafati, Somnath Rakshit
Deep Stock Predictions. CoRR (2020)
Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. CoRR (2020)
Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. CHIIR (2020)
Indrajit Saha, Somnath Rakshit, Michal Wlasnowolski, Dariusz Plewczynski
Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes. TENCON (2019)
Indrajit Saha, Somnath Rakshit, Michal Denkiewicz, Jnanendra Prasad Sarkar, Debasree Maity, Ujjwal Maulik, Dariusz Plewczynski
Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes. PReMI (2) (2019)
Namrata Pant, Somnath Rakshit, Sushmita Paul, Indrajit Saha
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. J. Biomed. Informatics 97 (2019)
Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit, Monalisa Pal, Michal Wlasnowolski, Anasua Sarkar, Ujjwal Maulik, Dariusz Plewczynski
A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. GECCO (Companion) (2019)
Somnath Rakshit, Indrajit Saha, Michal Wlasnowolski, Ujjwal Maulik, Dariusz Plewczynski
Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. ICAISC (2) (2019)
Somnath Rakshit, Indrajit Saha, Subha Shankar Chakraborty, Dariusz Plewczynski
Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data. TENCON (2018)
Indrajit Saha, Somnath Rakshit, Tanay Ghosh
Machine Learning for Object Labelling. TENCON (2018)
Somnath Rakshit, Soumyadeep Debnath, Dhiman Mondal
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning. CoRR (2018)
Somnath Rakshit, Suvojit Manna, Sanket Biswas, Riyanka Kundu, Priti Gupta, Sayantan Maitra, Subhas Barman
Prediction of Diabetes Type-II Using a Two-Class Neural Network. CICBA (2) (2017)