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Somnath Rakshit
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2020 – today
- 2020
- [c9]Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut:
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. CHIIR 2020: 223-233 - [c8]Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka:
Towards Real-time Webpage Relevance Prediction UsingConvex Hull Based Eye-tracking Features. ETRA Adjunct 2020: 28:1-28:10 - [i3]Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut:
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. CoRR abs/2001.05152 (2020) - [i2]Akash S. Doshi, Alexander Issa, Puneet Sachdeva, Sina Rafati, Somnath Rakshit:
Deep Stock Predictions. CoRR abs/2006.04992 (2020)
2010 – 2019
- 2019
- [j1]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) - [c7]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: 1846-1854 - [c6]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: 271-282 - [c5]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: 139-146 - [c4]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: 417-422 - 2018
- [c3]Indrajit Saha, Somnath Rakshit, Tanay Ghosh:
Machine Learning for Object Labelling. TENCON 2018: 1420-1425 - [c2]Somnath Rakshit, Indrajit Saha, Subha Shankar Chakraborty, Dariusz Plewczynski:
Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data. TENCON 2018: 1917-1922 - [i1]Somnath Rakshit, Soumyadeep Debnath, Dhiman Mondal:
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning. CoRR abs/1809.00340 (2018) - 2017
- [c1]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: 65-71
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