Shalmali Joshi

Cited by

	All	Since 2018
Citations	979	972
h-index	14	14
i10-index	14	14

520

260

130

390

20172018201920202021202220234 11 19 97 282 509 51

Public access

View all

8 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Melissa McCraddenThe Hospital for Sick ChildrenVerified email at sickkids.ca
Irene Y. ChenAssistant Professor, UC Berkeley and UCSFVerified email at berkeley.edu
Sana TonekaboniUniversity of Toronto, Vector InstituteVerified email at cs.toronto.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Sanmi KoyejoAssistant Professor, Stanford UniversityVerified email at stanford.edu
Sherri RoseProfessor, Stanford UniversityVerified email at stanford.edu
Kadija FerrymanBerman Institute of Bioethics and Department of Health Policy and Management, Bloomberg School ofVerified email at jhu.edu
Been KimGoogle BrainVerified email at csail.mit.edu
Warut VijitbenjaronkUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Sohini UpadhyayHarvard UniversityVerified email at g.harvard.edu
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Emma PiersonCornell TechVerified email at cornell.edu
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
David DuvenaudAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Randi Zlotnik ShaulDirector Bioethics Department, The Hospital for Sick ChildrenVerified email at sickkids.ca
Kieran R CampbellTorontoVerified email at lunenfeld.ca
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu

Shalmali Joshi

Harvard University

Verified email at seas.harvard.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
What clinicians want: contextualizing explainable machine learning for clinical end use S Tonekaboni, S Joshi, MD McCradden, A Goldenberg Machine learning for healthcare conference, 359-380, 2019	262	2019
Ethical machine learning in healthcare IY Chen, E Pierson, S Rose, S Joshi, K Ferryman, M Ghassemi Annual review of biomedical data science 4, 123-144, 2021	151*	2021
Towards realistic individual recourse and actionable explanations in black-box decision making systems S Joshi, O Koyejo, W Vijitbenjaronk, B Kim, J Ghosh arXiv preprint arXiv:1907.09615, 2019	104	2019
Ethical limitations of algorithmic fairness solutions in health care machine learning MD McCradden, S Joshi, M Mazwi, JA Anderson The Lancet Digital Health 2 (5), e221-e223, 2020	84	2020
Treating health disparities with artificial intelligence IY Chen, S Joshi, M Ghassemi Nature medicine 26 (1), 16-17, 2020	61	2020
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning MD McCradden, S Joshi, JA Anderson, M Mazwi, A Goldenberg, ... Journal of the American Medical Informatics Association 27 (12), 2024-2027, 2020	43	2020
What went wrong and when? Instance-wise feature importance for time-series black-box models S Tonekaboni, S Joshi, K Campbell, DK Duvenaud, A Goldenberg Advances in Neural Information Processing Systems 33, 799-809, 2020	34	2020
An empirical framework for domain generalization in clinical settings H Zhang, N Dullerud, L Seyyed-Kalantari, Q Morris, S Joshi, M Ghassemi Proceedings of the conference on health, inference, and learning, 279-290, 2021	33	2021
Probabilistic machine learning for healthcare IY Chen, S Joshi, M Ghassemi, R Ranganath Annual Review of Biomedical Data Science 4, 393-415, 2021	30	2021
xGEMs: Generating Examplars to Explain Black-Box Models S Joshi, O Koyejo, B Kim, J Ghosh https://arxiv.org/abs/1806.08867, 2018	29	2018
Identifiable phenotyping using constrained non-negative matrix factorization S Joshi, S Gunasekar, D Sontag, G Joydeep Machine Learning for Healthcare Conference, 17-41, 2016	26	2016
Can you fake it until you make it? impacts of differentially private synthetic data on downstream classification fairness V Cheng, VM Suriyakumar, N Dullerud, S Joshi, M Ghassemi Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021	25	2021
Exploring counterfactual explanations through the lens of adversarial examples: A theoretical and empirical analysis M Pawelczyk, C Agarwal, S Joshi, S Upadhyay, H Lakkaraju International Conference on Artificial Intelligence and Statistics, 4574-4594, 2022	23*	2022
Towards robust and reliable algorithmic recourse S Upadhyay, S Joshi, H Lakkaraju Advances in Neural Information Processing Systems 34, 16926-16937, 2021	22	2021
Sequential explanations with mental model-based policies A Yeung, S Joshi, JJ Williams, F Rudzicz arXiv preprint arXiv:2007.09028, 2020	8	2020
Counterfactually guided policy transfer in clinical settings TW Killian, M Ghassemi, S Joshi Conference on Health, Inference, and Learning, 5-31, 2022	7	2022
Explaining time series by counterfactuals S Tonekaboni, S Joshi, D Duvenaud, A Goldenberg	7	2020
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use.’ArXiv 2019 S Tonekaboni, S Joshi, MD McCradden, A Goldenberg arXiv preprint arXiv:1905.05134, 1905	5	1905
Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty S Joshi, S Parbhoo, F Doshi-Velez arXiv preprint arXiv:2109.06312, 2021	4	2021
Learning under adversarial and interventional shifts H Singh, S Joshi, F Doshi-Velez, H Lakkaraju arXiv preprint arXiv:2103.15933, 2021	4	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors