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Somnath Rakshit
Somnath Rakshit
Masters Graduate from School of Information, The University of Texas at Austin
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
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
552017
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning
S Rakshit, S Debnath, D Mondal
arXiv preprint arXiv:1809.00340, 2018
172018
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
162017
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
142019
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
122020
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
122019
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
92019
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
82020
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
72018
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
52020
Deep Stock Predictions
A Doshi, A Issa, P Sachdeva, S Rafati, S Rakshit
arXiv preprint arXiv:2006.04992, 2020
32020
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, 297-304, 2019
22019
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
12019
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
12019
Machine Learning for Object Labelling
I Saha, S Rakshit, T Ghosh
TENCON 2018-2018 IEEE Region 10 Conference, 1420-1425, 2018
12018
A GPU-accelerated MRI sequence simulator for differentiable optimization and learning
S Rakshit
The University of Texas at Austin, 2021
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
2020
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
2019
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
2019
A GPU-accelerated Extended Phase Graph Algorithm for differentiable optimization and learning
S Rakshit, K Wang, JI Tamir
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