Somnath Rakshit
Somnath Rakshit
Masters Graduate from School of Information, The University of Texas at Austin
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A statistical approach to predict flight delay using gradient boosted decision tree
S Manna, S Biswas, R Kundu, S Rakshit, P Gupta, S Barman
2017 International Conference on Computational Intelligence in Data Science …, 2017
Prediction of Diabetes Type-II Using a Two-Class Neural Network
S Rakshit, S Manna, S Biswas, R Kundu, P Gupta, S Maitra, S Barman
International Conference on Computational Intelligence, Communications, and …, 2017
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
N Bhattacharya, S Rakshit, J Gwizdka, P Kogut
Proceedings of the 2020 Conference on Human Information Interaction and …, 2020
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning
S Rakshit, S Debnath, D Mondal
arXiv preprint arXiv:1809.00340, 2018
Detection of Diseases in Potato Leaves Using Transfer Learning
SR Dasgupta, S Rakshit, D Mondal, DK Kole
Computational Intelligence in Pattern Recognition, 675-684, 2020
Identification of breast cancer subtype specific micrornas using survival analysis to find their role in transcriptomic regulation
M Denkiewicz, I Saha, S Rakshit, JP Sarkar, D Plewczynski
Frontiers in genetics, 1047, 2019
Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery
S Rakshit, I Saha, M Wlasnowolski, U Maulik, D Plewczynski
International Conference on Artificial Intelligence and Soft Computing, 271-282, 2019
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer
N Pant, S Rakshit, S Paul, I Saha
Journal of biomedical informatics 97, 103254, 2019
Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data
S Rakshit, I Saha, SS Chakraborty, D Plewczyski
TENCON 2018-2018 IEEE Region 10 Conference, 1917-1922, 2018
Towards Real-time Webpage Relevance Prediction UsingConvex Hull Based Eye-tracking Features
N Bhattacharya, S Rakshit, J Gwizdka
ACM Symposium on Eye Tracking Research and Applications, 1-10, 2020
Deep Stock Predictions
A Doshi, A Issa, P Sachdeva, S Rafati, S Rakshit
arXiv preprint arXiv:2006.04992, 2020
Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes
I Saha, S Rakshit, M Wlasnowolski, D Plewczynski
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 417-422, 2019
Piezoelectric Transducer and Arduino Based Wirelessly Controlled Energy-Saving Scheme for Street Lights
S Rakshit, S Kar, TK Banerjee, S Das
Advances in Computer, Communication and Control: Proceedings of ETES 2018 …, 2019
A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer
JP Sarkar, I Saha, S Rakshit, M Pal, M Wlasnowolski, A Sarkar, U Maulik, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
Machine Learning for Object Labelling
I Saha, S Rakshit, T Ghosh
TENCON 2018-2018 IEEE Region 10 Conference, 1420-1425, 2018
Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes
I Saha, S Rakshit, M Denkiewicz, JP Sarkar, D Maity, U Maulik, ...
International Conference on Pattern Recognition and Machine Intelligence …, 2019
A GPU-accelerated Extended Phase Graph Algorithm for differentiable optimization and learning
S Rakshit, K Wang, JI Tamir
A GPU-accelerated MRI sequence simulator for differentiable optimization and learning
S Rakshit
The University of Texas at Austin, 2021
Corrigendum: Identification of Breast Cancer Subtype Specific MicroRNAs Using Survival Analysis to Find Their Role in Transcriptomic Regulation
M Denkiewicz, I Saha, S Rakshit, JP Sarkar, D Plewczynski
Frontiers in Genetics, 1382, 2020
Identification of Four miRNAs by Analysing Multi-View miRNA-seq Data of Stomach Cancer
S Rakshit, N Pant, S Paul, I Saha
2019 IEEE Region 10 Symposium (TENSYMP), 451-456, 2019
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