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Machine Learning for Health (ML4H) 2023.

S. Hegselmann, A. Parziale, D. Shanmugam, S. Tang, K. Severson, M. Asiedu, S. Chang, B. Dossou, Q. Huang, F. Kamran, H. Zhang, S. Nagaraj, L. Oala, S. Xu, C. Okolo, H. Zhou, J. Dafflon, C. Ellington, S. Jabbour, H. Jeong, H. Nieva, Y. Yang, G. Zamzmi, V. Mhasawade, V. Truong, P. Chandak, M. Lee, P. Argaw, K. Heuton, H. Singh, and T. Hartvigsen. ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2023)

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Divya Parmar

Divya Prasad

Shanmugam Murugavel

Sivaprakash Shanmugam

Divya Sekar

Other publications of authors with the same name

Image segmentation of liver stage malaria infection with spatial uncertainty sampling.A. Soleimany, H. Suresh, J. Ortiz, D. Shanmugam, N. Gural, J. Guttag, and S. Bhatia. CoRR, (2019)Coarse race data conceals disparities in clinical risk score performance.R. Movva, D. Shanmugam, K. Hou, P. Pathak, J. Guttag, N. Garg, and E. Pierson. MLHC, volume 219 of Proceedings of Machine Learning Research, page 443-472. PMLR, (2023)When and Why Test-Time Augmentation Works.D. Shanmugam, D. Blalock, G. Balakrishnan, and J. Guttag. CoRR, (2020)At the Intersection of Deep Learning and Conceptual Art: The End of Signature.D. Shanmugam, K. Lewis, J. Ortiz, A. Kurant, and J. Guttag. CoRR, (2022)Kaleidoscope: Semantically-grounded, context-specific ML model evaluation.H. Suresh, D. Shanmugam, T. Chen, A. Bryan, A. D'Amour, J. Guttag, and A. Satyanarayan. CHI, page 775:1-775:13. ACM, (2023)Data Augmentation for Electrocardiograms.A. Raghu, D. Shanmugam, E. Pomerantsev, J. Guttag, and C. Stultz. CHIL, volume 174 of Proceedings of Machine Learning Research, page 282-310. PMLR, (2022)Multiple Instance Learning for ECG Risk Stratification.D. Shanmugam, D. Blalock, and J. Guttag. MLHC, volume 106 of Proceedings of Machine Learning Research, page 124-139. PMLR, (2019)Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization.D. Shanmugam, F. Diaz, S. Shabanian, M. Finck, and A. Biega. FAccT, page 839-849. ACM, (2022)Better Aggregation in Test-Time Augmentation.D. Shanmugam, D. Blalock, G. Balakrishnan, and J. Guttag. ICCV, page 1194-1203. IEEE, (2021)Machine Learning for Health (ML4H) 2023.S. Hegselmann, A. Parziale, D. Shanmugam, S. Tang, K. Severson, M. Asiedu, S. Chang, B. Dossou, Q. Huang, F. Kamran and 21 other author(s). ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2023)

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Disambiguation of "Shanmugam, Divya"

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Machine Learning for Health (ML4H) 2023.

Please choose a person to relate this publication to

Divya Parmar

Divya Prasad

Shanmugam Murugavel

Sivaprakash Shanmugam

Divya Sekar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shanmugam, Divya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning for Health (ML4H) 2023.

Please choose a person to relate this publication to

Divya Parmar

Divya Prasad

Shanmugam Murugavel

Sivaprakash Shanmugam

Divya Sekar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Machine Learning for Health (ML4H) 2023.