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Vladimir Braverman

Showing results (1-10 of 15) with videos related to

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Sensors (Basel, Switzerland)|December 23, 2022
Streaming Quantiles Algorithms with Small Space and Update TimeNikita Ivkin, Edo Liberty, Kevin Lang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 24, 2021
Data-Independent Structured Pruning of Neural Networks via CoresetsBen Mussay, Dan Feldman, Samson Zhou, et al.
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|November 15, 2021
Fast and memory-efficient scRNA-seq <i>k</i>-means clustering with various distancesDaniel N Baker, Nathan Dyjack, Vladimir Braverman, et al.
Biostatistics (Oxford, England)|September 5, 2022
A scalable and unbiased discordance metric with HNathan Dyjack, Daniel N Baker, Vladimir Braverman, et al.
Diagnostics (Basel, Switzerland)|March 27, 2024
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine LearningJason Uwaeze, Ponnada A Narayana, Arash Kamali, et al.
Proceedings ... Annual Symposium on Foundations of Computer Science. Symposium on Foundations of Computer Science|August 23, 2021
Near Optimal Linear Algebra in the Online and Sliding Window ModelsVladimir Braverman, Petros Drineas, Cameron Musco, et al.
Scientific Reports|January 6, 2026
Patch-Based convolutional neural networks for multiple microstructural features detection in FIB-SEM micrographs of irradiated nuclear fuelJason Uwaeze, Yalei Tang, Tanner Jason Mauseth, et al.
Journal of Imaging Informatics in Medicine|March 14, 2026
Adaptive, Privacy-Preserving Small Language Models for Multi-Task Clinical AssistanceGuangyao Zheng, Peter Kamel, Jay J Pillai, et al.
Computer Methods and Programs in Biomedicine|June 24, 2025
Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG studySunghan Lee, Guangyao Zheng, Jeonghwan Koh, et al.
Digital Health|October 17, 2024
Hierarchical deep learning for autonomous multi-label arrhythmia detection and classification on real-world wearable electrocardiogram dataGuangyao Zheng, Sunghan Lee, Jeonghwan Koh, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|December 23, 2022
Streaming Quantiles Algorithms with Small Space and Update TimeNikita Ivkin, Edo Liberty, Kevin Lang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 24, 2021
Data-Independent Structured Pruning of Neural Networks via CoresetsBen Mussay, Dan Feldman, Samson Zhou, et al.
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|November 15, 2021
Fast and memory-efficient scRNA-seq <i>k</i>-means clustering with various distancesDaniel N Baker, Nathan Dyjack, Vladimir Braverman, et al.
Biostatistics (Oxford, England)|September 5, 2022
A scalable and unbiased discordance metric with HNathan Dyjack, Daniel N Baker, Vladimir Braverman, et al.
Diagnostics (Basel, Switzerland)|March 27, 2024
Automatic Active Lesion Tracking in Multiple Sclerosis Using Unsupervised Machine LearningJason Uwaeze, Ponnada A Narayana, Arash Kamali, et al.
Proceedings ... Annual Symposium on Foundations of Computer Science. Symposium on Foundations of Computer Science|August 23, 2021
Near Optimal Linear Algebra in the Online and Sliding Window ModelsVladimir Braverman, Petros Drineas, Cameron Musco, et al.
Scientific Reports|January 6, 2026
Patch-Based convolutional neural networks for multiple microstructural features detection in FIB-SEM micrographs of irradiated nuclear fuelJason Uwaeze, Yalei Tang, Tanner Jason Mauseth, et al.
Journal of Imaging Informatics in Medicine|March 14, 2026
Adaptive, Privacy-Preserving Small Language Models for Multi-Task Clinical AssistanceGuangyao Zheng, Peter Kamel, Jay J Pillai, et al.
Computer Methods and Programs in Biomedicine|June 24, 2025
Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG studySunghan Lee, Guangyao Zheng, Jeonghwan Koh, et al.
Digital Health|October 17, 2024
Hierarchical deep learning for autonomous multi-label arrhythmia detection and classification on real-world wearable electrocardiogram dataGuangyao Zheng, Sunghan Lee, Jeonghwan Koh, et al.
Pageof 2