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Lovekesh Vig

Showing results (1-10 of 6) with videos related to

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Applied Network Science|December 12, 2018
Improved prediction of missing protein interactome links via anomaly detectionKushal Veer Singh, Lovekesh Vig
Computers in Biology and Medicine|April 29, 2019
ECG anomaly class identification using LSTM and error profile modelingSucheta Chauhan, Lovekesh Vig, Shandar Ahmad
Journal of Healthcare Informatics Research|April 13, 2022
Transfer Learning for Clinical Time Series Analysis Using Deep Neural NetworksPriyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, et al.
Frontiers in Neuroinformatics|August 17, 2019
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion ImagesSucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, et al.
Nucleic Acids Research|July 18, 2014
Inferring population structure and relationship using minimal independent evolutionary markers in Y-chromosome: a hybrid approach of recursive feature selection for hierarchical clusteringAmit Kumar Srivastava, Rupali Chopra, Shafat Ali, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Domain-Specific Pre-training Improves Confidence in Whole Slide Image ClassificationSoham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Applied Network Science|December 12, 2018
Improved prediction of missing protein interactome links via anomaly detectionKushal Veer Singh, Lovekesh Vig
Computers in Biology and Medicine|April 29, 2019
ECG anomaly class identification using LSTM and error profile modelingSucheta Chauhan, Lovekesh Vig, Shandar Ahmad
Journal of Healthcare Informatics Research|April 13, 2022
Transfer Learning for Clinical Time Series Analysis Using Deep Neural NetworksPriyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, et al.
Frontiers in Neuroinformatics|August 17, 2019
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion ImagesSucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, et al.
Nucleic Acids Research|July 18, 2014
Inferring population structure and relationship using minimal independent evolutionary markers in Y-chromosome: a hybrid approach of recursive feature selection for hierarchical clusteringAmit Kumar Srivastava, Rupali Chopra, Shafat Ali, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Domain-Specific Pre-training Improves Confidence in Whole Slide Image ClassificationSoham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, et al.
Pageof 1