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71
Teaching and Learning 1H Nuclear Magnetic Resonance Spectroscopy
Teaching and Learning 1H Nuclear Magnetic Resonance Spectroscopy
Connor, Megan C. | University of Michigan | 2021
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72
Personalized Data-Driven Learning and Optimization: Theory and Applications to Healthcare
Personalized Data-Driven Learning and Optimization: Theory and Applications to Healthcare
Keyvanshokooh, Esmaeil. | University of Michigan | 2021
Naver
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73
Simplicity and Optimality in Algorithmic Economics: Multi-Item Auctions and Social Learning
Simplicity and Optimality in Algorithmic Economics: Multi-Item Auctions and Social Learning
Mohan, Divyarthi. | Princeton University | 2021
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74
Haunting as Historical Thinking: Learning to Construct Whiteness in History Classrooms
Haunting as Historical Thinking: Learning to Construct Whiteness in History Classrooms
Berry, Allena G. | Northwestern University | 2021
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75
Integrity and Privacy in Adversarial Machine Learning
Integrity and Privacy in Adversarial Machine Learning
Jagielski, Matthew. | Northeastern University | 2021
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76
Risk Budgeting Portfolios Under a Modern Optimization and Machine Learning Lens
Risk Budgeting Portfolios Under a Modern Optimization and Machine Learning Lens
Uysal, Ayse Sinem. | Princeton University | 2021
Naver
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77
Dopamine and the Neurobiological Foundations of Learning and Performance
Dopamine and the Neurobiological Foundations of Learning and Performance
Mikhael, John George. | Harvard University | 2021
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78
Leveraging Implementation of Universal Design for Learning to Improve Instructional Practice
Leveraging Implementation of Universal Design for Learning to Improve Instructional Practice
Princilus, Nathalie. | University of Delaware | 2021
Naver
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79
Efficient Learning Framework for Training Deep Learning Models with Limited Supervision
Efficient Learning Framework for Training Deep Learning Models with Limited Supervision
Dizaji, Kamran Ghasedi . | University of Pittsburgh | 2021
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80
Machine Learning and Control Methodologies with Applications to Medical Computing
Machine Learning and Control Methodologies with Applications to Medical Computing
Miller, Daniel Roy. | Stanford University | 2019
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