X.Y. Han

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Vardan PapyanAssistant Professor, University of TorontoAdresă de e-mail confirmată pe utoronto.ca
Daniel A. Donoho, MDDivision of Pediatric Neurosurgery, Children's National Medical CenterAdresă de e-mail confirmată pe childrensnational.org
Dhiraj J. Pangal, MDNeurosurgery Resident, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Fang HanAssociate Professor of Statistics, University of WashingtonAdresă de e-mail confirmată pe uw.edu
Brian CaffoProfessor of Biostatistics, Johns Hopkins UniversityAdresă de e-mail confirmată pe jhu.edu
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityAdresă de e-mail confirmată pe northwestern.edu
Adrian LewisProfessor, School of Operations Research and Information Engineering, Cornell UnviersityAdresă de e-mail confirmată pe cornell.edu

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X.Y. Han

Operations Research and Information Engineering, Cornell University

Adresă de e-mail confirmată pe cornell.edu - Pagina de pornire

Optimization Machine Learning Deep Learning Data Science Artificial Intelligence


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Prevalence of neural collapse during the terminal phase of deep learning training V Papyan, XY Han, DL Donoho Proceedings of the National Academy of Sciences 117 (40), 24652-24663, 2020	374	2020
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path XY Han, V Papyan, DL Donoho International Conference on Learning Representations, 2022	109	2022
Sparse median graphs estimation in a high-dimensional semiparametric model F Han, X Han, H Liu, B Caffo	16	2016
Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video DJ Pangal, G Kugener, Y Zhu, A Sinha, V Unadkat, DJ Cote, B Strickland, ... Scientific reports 12 (1), 8137, 2022	11	2022
Utility of the simulated outcomes following carotid artery laceration video data set for machine learning applications G Kugener, DJ Pangal, T Cardinal, C Collet, E Lechtholz-Zey, S Lasky, ... JAMA network open 5 (3), e223177-e223177, 2022	9	2022
AI and the digitized photoarchive: Promoting access and discoverability E Prokop, X Han, V Papyan, DL Donoho, CR Johnson Jr Art Documentation: Journal of the Art Libraries Society of North America 40 …, 2021	7	2021
Artificial Intelligence and Discovering the Digitised Photoarchive XY Han, V Papyan, E Prokop, DL Donoho, CR Johnson Jr. Archives, Access and Artificial Intelligence, 29-60, 2022	5*	2022
Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization XY Han, AS Lewis SIAM Journal on Optimization 33 (1), 36-62, 2023	4	2023
Expert Surgeons and Deep Learning Models Can Predict the Outcome of Surgical Hemorrhage from One Minute of Video DJ Pangal, G Kugener, Y Zhu, A Sinha, V Unadkat, DJ Cote, B Strickland, ... medRxiv, 2022.01. 22.22269640, 2022	2	2022
Automatic Assessment of Surgical Performance Using Intraoperative Video and Deep Learning: A Comparison with Expert Surgeon Video Review DJ Pangal, G Kugener, Y Zhu, A Sinha, V Unadkat, DJ Cote, A Roshannai, ... Journal of Neurological Surgery Part B: Skull Base 83 (S 01), A049, 2022		2022
Disk matrices and the proximal mapping for the numerical radius XY Han, AS Lewis arXiv preprint arXiv:2004.14542, 2020		2020
Aus dem Buch: Archives, Access and Artificial Intelligence. Working with Born-Digital and Digitized Archival Collections L Jaillant, XY Han, V Papyan, E Prokop, DL Donoho, CR Johnson, M Bell, ...

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