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1
Phenotyping With Partially Labeled, Partially Observed Data- [electronic resource]
Phenotyping With Partially Labeled, Partially Observed Data- [electronic resource]
Rodriguez, Victor A.Biomedical Informatics. | Columbia University. | 2023
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2
Phenotyping With Partially Labeled, Partially Observed Data- [electronic resource]
Phenotyping With Partially Labeled, Partially Observed Data- [electronic resource]
Rodriguez, Victor A.Biomedical Informatics. | Columbia University. | 2023
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3
Phenotyping With Partially Labeled, Partially Observed Data- [electronic resource]
Phenotyping With Partially Labeled, Partially Observed Data- [electronic resource]
Rodriguez, Victor A.Biomedical Informatics. | Columbia University. | 2023
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4
Supply Chain and Service Operations with Demand-Side Flexibility
Supply Chain and Service Operations with Demand-Side Flexibility
Zhou, Yeqing. | Columbia University | 2021
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5
Enhanced Strength and Frictional Properties of Copper-Graphene-Copper Nanolaminates
Enhanced Strength and Frictional Properties of Copper-Graphene-Copper Nanolaminates
Rastogi, Shruti. | Columbia University | 2021
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6
Electronic and Plasmonic Band Structure Engineering of Graphene Using Superlattices
Electronic and Plasmonic Band Structure Engineering of Graphene Using Superlattices
Li, Yutao. | Columbia University | 2021
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7
Bridging the Gap Between People, Mobile Devices, and the Physical World
Bridging the Gap Between People, Mobile Devices, and the Physical World
Xiao, Chang. | Columbia University | 2021
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8
New Primitives for Tackling Graph Problems and Their Applications in Parallel Computing
New Primitives for Tackling Graph Problems and Their Applications in Parallel Computing
Zhong, Peilin. | Columbia University | 2021
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9
XR Development with the Relay and Responder Pattern
XR Development with the Relay and Responder Pattern
Elvezio, Carmine. | Columbia University | 2021
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10
Toward Growth-Accommodating Polymeric Heart Valves with Graphene-Network Reinforcement
Toward Growth-Accommodating Polymeric Heart Valves with Graphene-Network Reinforcement
Li, Richard L. | Columbia University | 2021
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