Mehak Gupta

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Densely Connected

Electronic Health Records

Processing Pipeline

Top Venues

Publications

Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. CHASE (2024)
Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. CoRR (2024)
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
An Extensive Data Processing Pipeline for MIMIC-IV. CoRR (2022)
Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Flexible-Window Predictions on Electronic Health Records. AAAI (2022)
Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements. ACM Trans. Comput. Heal. 3 (3) (2022)
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
An Extensive Data Processing Pipeline for MIMIC-IV. ML4H@NeurIPS (2022)
Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. MLHC (2022)
Anirban Sen, Debanjan Ghatak, Gurjeet Khanuja, Kumari Rekha, Mehak Gupta, Sanket Dhakate, Kartikeya Sharma, Aaditeshwar Seth
Analysis of Media Bias in Policy Discourse in India. COMPASS (2022)
Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. BIBM (2021)
Mehak Gupta, Shayan Saifi, Konark Verma, Kumari Rekha, Aaditeshwar Seth
Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India. CoRR (2021)
Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction. BCB (2021)
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. CoRR (2020)
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR (2020)
Juraj Kabzan, Miguel de la Iglesia Valls, Victor J. F. Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart
AMZ Driverless: The full autonomous racing system. J. Field Robotics 37 (7) (2020)
Mehak Gupta, Rahmatollah Beheshti
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks. CoRR (2020)
Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart
AMZ Driverless: The Full Autonomous Racing System. CoRR (2019)
Mehak Gupta, Thao-Ly T. Phan, George Datto, H. Timothy Bunnell, Rahmatollah Beheshti
Obesity Prediction with EHR Data: A deep learning approach with interpretability. CoRR (2019)
Anirban Sen, Debanjan Ghatak, Kapil Kumar, Gurjeet Khanuja, Deepak Bansal, Mehak Gupta, Kumari Rekha, Saloni Bhogale, Priyamvada Trivedi, Aaditeshwar Seth
Studying the discourse on economic policies in India using mass media, social media, and the parliamentary question hour data. COMPASS (2019)
Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart
Redundant Perception and State Estimation for Reliable Autonomous Racing. ICRA (2019)
Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart
Redundant Perception and State Estimation for Reliable Autonomous Racing. CoRR (2018)