Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings. - Anirudh Kamath; Aditya Singh; Raj Ramnani; Ayush Vyas; Jay Shenoy (CoRR, 2017)

A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. - Jay Shenoy; Edward Kim 005; Xiangyu Yue 001; Taesung Park; Daniel J. Fremont; Alberto L. Sangiovanni-Vincentelli; Sanjit Seshia (CoRR, 2020)

R-SLAM: Optimizing Eye Tracking from Rolling Shutter Video of the Retina. - Jay Shenoy; James Fong; Jeffrey Tan; Austin Roorda; Ren Ng (ICCV, 2021)

A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation. - Francis Indaheng; Edward Kim 005; Kesav Viswanadha; Jay Shenoy; Jinkyu Kim; Daniel J. Fremont; Sanjit A. Seshia (CoRR, 2021)

Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. - Edward Kim 005; Jay Shenoy; Sebastian Junges; Daniel J. Fremont; Alberto L. Sangiovanni-Vincentelli; Sanjit A. Seshia (ICCPS, 2022)

Demo: Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. - Edward Kim 005; Jay Shenoy; Sebastian Junges; Daniel J. Fremont; Alberto L. Sangiovanni-Vincentelli; Sanjit A. Seshia (ICCPS, 2022)

Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning. - Jay Shenoy; Axel Levy; Frédéric Poitevin; Gordon Wetzstein (CoRR, 2023)