Karan Bhanot

According to our database, Karan Bhanot authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities.

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Investigating synthetic medical time-series resemblance.

Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett

Neurocomputing, 2022

Editorial: AI and Healthcare Financial Management (HFM) towards sustainable development.

Ananth Rao, M. V. Manoj Kumar, Nanda Kumar Bidare Sastry, Immanuel Azaad Moonesar, Arkalgud Ramaprasad, Alicia Núñez Mondaca, B. Annappa, Karan Bhanot, Wathiq Mansoor

Frontiers Artif. Intell., 2022

Downstream Fairness Caveats with Synthetic Healthcare Data.

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

CoRR, 2022

Evaluating Fairness of Synthetic Healthcare Data Models.

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

Proceedings of the AMIA 2022, 2022

An Ontology for Fairness Metrics.

Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

The Problem of Fairness in Synthetic Healthcare Data.

Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett

Entropy, 2021

Quantifying Resemblance of Synthetic Medical Time-Series.

Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Dengue Spread Information System (DSIS).

Karan Bhanot, Dominic Schroeder, Isaac Llewellyn, Nicholas Luczak, Thilanka Munasinghe

Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020

Synthesizing Quality Open Data Assets from Private Health Research Studies.

Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John S. Erickson, Kristin P. Bennett

Proceedings of the Business Information Systems Workshops, 2020

MortalityMinder: A Web Tool for Visualizing and Investigating Social Determinants of Premature Mortality in the United States.

Kristin P. Bennett, Lilian M. Ngweta, Karan Bhanot, John S. Erickson

Proceedings of the AMIA 2020, 2020

2019

Identifying the Relationship between Precipitation and Zika Outbreaks in Argentina.

Lilian Ngweta, Karan Bhanot, Ariane Maharaj, Ian Bogle, Thilanka Munasinghe

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019