Shalmali Joshi

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Soavtorji

Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITPreverjeni e-poštni naslov na mit.edu
Melissa McCraddenAustralian Institute for Machine learningPreverjeni e-poštni naslov na adelaide.edu.au
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoPreverjeni e-poštni naslov na berkeley.edu
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoPreverjeni e-poštni naslov na utoronto.ca
Sana TonekaboniBroad Institute of MIT and HarvardPreverjeni e-poštni naslov na broadinstitute.org
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsPreverjeni e-poštni naslov na utexas.edu
Sanmi KoyejoAssistant Professor, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Emma PiersonUniversity of California, BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Kadija FerrymanBerman Institute of Bioethics and Department of Health Policy and Management, Bloomberg School ofPreverjeni e-poštni naslov na jhu.edu
Sohini UpadhyayHarvard UniversityPreverjeni e-poštni naslov na g.harvard.edu
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Been KimGoogle DeepMindPreverjeni e-poštni naslov na csail.mit.edu
Warut VijitbenjaronkUniversity of Illinois Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Finale Doshi-VelezProfessor, HarvardPreverjeni e-poštni naslov na seas.harvard.edu
David DuvenaudAssociate Professor, University of TorontoPreverjeni e-poštni naslov na cs.toronto.edu
Rajesh RanganathAssistant Professor, NYUPreverjeni e-poštni naslov na cs.princeton.edu
Randi Zlotnik ShaulDirector Bioethics Department, The Hospital for Sick ChildrenPreverjeni e-poštni naslov na sickkids.ca
Kieran R CampbellTorontoPreverjeni e-poštni naslov na lunenfeld.ca
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterPreverjeni e-poštni naslov na mskcc.org
Vinith M. SuriyakumarMassachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu

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Shalmali Joshi

Columbia University

Preverjeni e-poštni naslov na cumc.columbia.edu - Domača stran

Machine Learning Healthcare


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	545	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 (1), 123-144, 2021	514	2021
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	213	2020
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	205	2019
Treating health disparities with artificial intelligence IY Chen, S Joshi, M Ghassemi Nature medicine 26 (1), 16-17, 2020	131	2020
Towards robust and reliable algorithmic recourse S Upadhyay, S Joshi, H Lakkaraju Advances in Neural Information Processing Systems 34, 16926-16937, 2021	118	2021
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	99	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	87	2020
Probabilistic machine learning for healthcare IY Chen, S Joshi, M Ghassemi, R Ranganath Annual review of biomedical data science 4 (1), 393-415, 2021	77	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	76*	2022
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	72	2021
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	61	2021
xGEMs: Generating Examplars to Explain Black-Box Models S Joshi, O Koyejo, B Kim, J Ghosh https://arxiv.org/abs/1806.08867, 2018	46	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	31	2016
Making machine learning matter to clinicians: model actionability in medical decision-making DE Ehrmann, S Joshi, SD Goodfellow, ML Mazwi, D Eytan NPJ Digital Medicine 6 (1), 7, 2023	29	2023
" why did the model fail?": Attributing model performance changes to distribution shifts H Zhang, H Singh, M Ghassemi, S Joshi	22	2023
What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB M Mccradden, O Odusi, S Joshi, I Akrout, K Ndlovu, B Glocker, G Maicas, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	21	2023
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	20	2021
Sequential explanations with mental model-based policies A Yeung, S Joshi, JJ Williams, F Rudzicz arXiv preprint arXiv:2007.09028, 2020	16	2020
Counterfactually guided policy transfer in clinical settings TW Killian, M Ghassemi, S Joshi Conference on Health, Inference, and Learning, 5-31, 2022	12	2022

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