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Machine learning: science and technology

Showing results (21-30 of 28) with videos related to

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Machine Learning: Science and Technology|August 15, 2022
Improving Proton Dose Calculation Accuracy by Using Deep LearningChao Wu, Dan Nguyen, Yixun Xing, et al.
Machine Learning: Science and Technology|January 19, 2026
Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2Guoping Xu, Christopher Kabat, You Zhang
Machine Learning: Science and Technology|April 18, 2025
Prior guided deep difference meta-learner for fast adaptation to stylized segmentationDan Nguyen, Anjali Balagopal, Ti Bai, et al.
Machine Learning: Science and Technology|March 11, 2024
WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasoundDonya Khaledyan, Thomas J Marini, Avice O'Connell, et al.
Machine Learning: Science and Technology|March 23, 2026
CAP: Commutative algebra prediction of protein-nucleic acid binding affinitiesMushal Zia, Faisal Suwayyid, Yuta Hozumi, et al.
Machine Learning: Science and Technology|September 8, 2023
Recipes for when physics fails: recovering robust learning of physics informed neural networksChandrajit Bajaj, Luke McLennan, Timothy Andeen, et al.
Machine Learning: Science and Technology|June 25, 2026
An Attention-based Spatio-Temporal Neural Operator for Evolving PhysicsVispi Karkaria, Doksoo Lee, Yi-Ping Chen, et al.
Machine Learning: Science and Technology|June 26, 2026
Correlated clustering and projection for dimensionality reductionYuta Hozumi, Rui Wang, Guo-Wei Wei
Pageof 3

Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Machine Learning: Science and Technology|August 15, 2022
Improving Proton Dose Calculation Accuracy by Using Deep LearningChao Wu, Dan Nguyen, Yixun Xing, et al.
Machine Learning: Science and Technology|January 19, 2026
Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2Guoping Xu, Christopher Kabat, You Zhang
Machine Learning: Science and Technology|April 18, 2025
Prior guided deep difference meta-learner for fast adaptation to stylized segmentationDan Nguyen, Anjali Balagopal, Ti Bai, et al.
Machine Learning: Science and Technology|March 11, 2024
WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasoundDonya Khaledyan, Thomas J Marini, Avice O'Connell, et al.
Machine Learning: Science and Technology|March 23, 2026
CAP: Commutative algebra prediction of protein-nucleic acid binding affinitiesMushal Zia, Faisal Suwayyid, Yuta Hozumi, et al.
Machine Learning: Science and Technology|September 8, 2023
Recipes for when physics fails: recovering robust learning of physics informed neural networksChandrajit Bajaj, Luke McLennan, Timothy Andeen, et al.
Machine Learning: Science and Technology|June 25, 2026
An Attention-based Spatio-Temporal Neural Operator for Evolving PhysicsVispi Karkaria, Doksoo Lee, Yi-Ping Chen, et al.
Machine Learning: Science and Technology|June 26, 2026
Correlated clustering and projection for dimensionality reductionYuta Hozumi, Rui Wang, Guo-Wei Wei
Pageof 3