Jasjeet S. Sekhon

According to our database, Jasjeet S. Sekhon authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations.

Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System.

Niroop Channa Rajashekar, Yeo Eun Shin, Yuan Pu, Sunny Chung, Kisung You, Mauro Giuffrè, Colleen E. Chan, Theo Saarinen, Allen Hsiao, Jasjeet S. Sekhon, Ambrose H. Wong, Leigh V. Evans, René F. Kizilcec, Loren Laine, Terika McCall, Dennis L. Shung

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.

Colleen E. Chan, Kisung You, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, René F. Kizilcec, Jasjeet S. Sekhon, Dennis L. Shung

CoRR, 2023

Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator.

Dennis Shen, Dogyoon Song, Peng Ding, Jasjeet S. Sekhon

CoRR, 2023

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast.

Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Linear Aggregation in Tree-Based Estimators.

Sören R. Künzel, Theo Saarinen, Edward W. Liu, Jasjeet S. Sekhon

J. Comput. Graph. Stat., July, 2022

2019

Hybridized Threshold Clustering for Massive Data.

Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy, Jasjeet S. Sekhon, William Henry Hsu, Michael Higgins

CoRR, 2019

Shrinkage Estimators in Online Experiments.

Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Transfer Learning for Estimating Causal Effects using Neural Networks.

Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel

CoRR, 2018