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Rama Vasudevan

Showing results (1-10 of 23) with videos related to

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IEEE Journal of Biomedical and Health Informatics|September 29, 2020
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare ApplicationMatthew Baucum, Anahita Khojandi, Rama Vasudevan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement LearningJeremy Watts, Anahita Khojandi, Rama Vasudevan, et al.
ACS Nano|September 6, 2022
Bayesian Active Learning for Scanning Probe Microscopy: From Gaussian Processes to Hypothesis LearningMaxim Ziatdinov, Yongtao Liu, Kyle Kelley, et al.
Sensors (Basel, Switzerland)|June 2, 2021
Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor TechnologyJeremy Watts, Anahita Khojandi, Rama Vasudevan, et al.
ACS Applied Materials & Interfaces|December 28, 2022
Machine Intelligence-Centered System for Automated Characterization of Functional Materials and InterfacesEric S Muckley, Rama Vasudevan, Bobby G Sumpter, et al.
ACS Nanoscience Au|February 23, 2026
Beyond Optimization: Exploring Novelty Discovery in Autonomous ExperimentsRalph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, et al.
Scientific Data|February 12, 2021
Computational scanning tunneling microscope image databaseKamal Choudhary, Kevin F Garrity, Charles Camp, et al.
ACS Nano|December 9, 2025
Automated Construction of Artificial Lattice Structures with Designer Electronic StatesGanesh Narasimha, Mykola Telychko, Wooin Yang, et al.
Patterns (New York, N.Y.)|March 24, 2023
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materialsYongtao Liu, Anna N Morozovska, Eugene A Eliseev, et al.
Scientific Reports|December 28, 2020
Mesoscopic theory of defect ordering-disordering transitions in thin oxide filmsAnna N Morozovska, Eugene A Eliseev, Dmitry V Karpinsky, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
IEEE Journal of Biomedical and Health Informatics|September 29, 2020
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare ApplicationMatthew Baucum, Anahita Khojandi, Rama Vasudevan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement LearningJeremy Watts, Anahita Khojandi, Rama Vasudevan, et al.
ACS Nano|September 6, 2022
Bayesian Active Learning for Scanning Probe Microscopy: From Gaussian Processes to Hypothesis LearningMaxim Ziatdinov, Yongtao Liu, Kyle Kelley, et al.
Sensors (Basel, Switzerland)|June 2, 2021
Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor TechnologyJeremy Watts, Anahita Khojandi, Rama Vasudevan, et al.
ACS Applied Materials & Interfaces|December 28, 2022
Machine Intelligence-Centered System for Automated Characterization of Functional Materials and InterfacesEric S Muckley, Rama Vasudevan, Bobby G Sumpter, et al.
ACS Nanoscience Au|February 23, 2026
Beyond Optimization: Exploring Novelty Discovery in Autonomous ExperimentsRalph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, et al.
Scientific Data|February 12, 2021
Computational scanning tunneling microscope image databaseKamal Choudhary, Kevin F Garrity, Charles Camp, et al.
ACS Nano|December 9, 2025
Automated Construction of Artificial Lattice Structures with Designer Electronic StatesGanesh Narasimha, Mykola Telychko, Wooin Yang, et al.
Patterns (New York, N.Y.)|March 24, 2023
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materialsYongtao Liu, Anna N Morozovska, Eugene A Eliseev, et al.
Scientific Reports|December 28, 2020
Mesoscopic theory of defect ordering-disordering transitions in thin oxide filmsAnna N Morozovska, Eugene A Eliseev, Dmitry V Karpinsky, et al.
Pageof 3