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1
아무것도 하지 않는 법
아무것도 하지 않는 법
Odell, Jenny | Pillow | 2021
303.4833-O23hㄱ
Naver
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2
Spin-Photon Interface Using Charge Tunable Quantum Dots
Spin-Photon Interface Using Charge Tunable Quantum Dots
Luo, Zhouchen. | University of Maryland, College Park | 2021
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3
Topics in Information and Estimation Theory: Parameter Estimation, Lossless Compression, Constrained Channels, and Error Exponents
Topics in Information and Estimation Theory: Parameter Estimation, Lossless Compression, Constrained Channels, and Error Exponents
Yagli, Semih. | Princeton University | 2021
Naver
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4
In-Database Machine Learning on Reconfigurable Dataflow Accelerators
In-Database Machine Learning on Reconfigurable Dataflow Accelerators
Vilim, Matthew. | Stanford University | 2021
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5
Sharing Joy through Technology: The Effect of Synchronicity, Nonverbal Cues, and Persistence on Affective Well-Being
Sharing Joy through Technology: The Effect of Synchronicity, Nonverbal Cues, and Persistence on Affective Well-Being
Li, Lin. | Michigan State University | 2021
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6
Theorizing Eloquence as a Means-Driven Process of Recursive Invention
Theorizing Eloquence as a Means-Driven Process of Recursive Invention
Ottman, Rebecca D. | Indiana University | 2021
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7
Developing Culturally-Adapted Mobile Mental Health Interventions: A Multi-Study, Mixed Methods Approach
Developing Culturally-Adapted Mobile Mental Health Interventions: A Multi-Study, Mixed Methods Approach
Willis, Henry Artez. | The University of North Carolina at Chapel Hill | 2021
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8
Different Pathways to Cognition: An ERP Investigation of Enhanced Perceptual Functioning and Autistic Traits in School-Aged Children
Different Pathways to Cognition: An ERP Investigation of Enhanced Perceptual Functioning and Autistic Traits in School-Aged Children
Kaplan-Kahn, Elizabeth A. | Syracuse University | 2021
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9
On Designing Resource-Constrained CNNs Efficiently
On Designing Resource-Constrained CNNs Efficiently
Chin, Ting-Wu. | Carnegie Mellon University | 2021
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10
Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning
Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning
Xu, Kaidi. | Northeastern University | 2021
Naver
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