Krishnan, Sanjay

Data Cleaning: Overview and Emerging Challenges

Chu, X., Ilyas, I. F., Krishnan, S., & Wang, J. (2016) · Proceedings of the 2016 International Conference on Management of Data

Data Quality and ManagementMachine Learning and Data Classification

Cited by 488

ActiveClean: interactive data cleaning for statistical modeling

Krishnan, S., Wang, J., Wu, E., Franklin, M. J., & Goldberg, K. (2016) · Proceedings of the VLDB Endowment

Machine Learning and Data ClassificationData Quality and Management

Cited by 264

Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning

Thananjeyan, B., Garg, A., Krishnan, S., Chen, C., Miller, L., & Goldberg, K. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Surgical Simulation and TrainingReinforcement Learning in Robotics

Cited by 144

PALM: Machine Learning Explanations For Iterative Debugging

Krishnan, S., & Wu, E. (2017) · Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 81

Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health

Tilmon, S., Nyenhuis, S., Solomonides, A., Barbarioli, B., Bhargava, A., Birz, S., Bouzein, K., Cardenas, C., Carlson, B., Cohen, E., et al. (2023) · Journal of Clinical and Translational Science

Research Data Management PracticesHealth, Environment, Cognitive Aging

Cited by 10