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1
Machine Learning and Crowdsourcing for Digital Behavioral Phenotyping.
Machine Learning and Crowdsourcing for Digital Behavioral Phenotyping.
Washington, Peter Yigitcan. | Stanford University. | 2022
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2
Theoretical and Practical Advances in Computational Social Choice and Crowdsourcing.
Theoretical and Practical Advances in Computational Social Choice and Crowdsourcing.
Yoo, Yeawon.Industrial Engineering. | Arizona State University. | 2021
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3
Stakeholder Network Structure and Requirements Crowdsourcing for Open-Source Software Projects.
Stakeholder Network Structure and Requirements Crowdsourcing for Open-Source Software Projects.
Robinson, Matthew W.Systems Engineering. | The George Washington University. | 2021
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4
Accelerating Ai-Driven Scientific Discovery With End-To-End Learning and Random Projection.
Accelerating Ai-Driven Scientific Discovery With End-To-End Learning and Random Projection.
Nasim, Md. | Purdue University. | 2024
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5
Social Reference Processing With Collaborative Human-AI Systems- [electronic resource]
Social Reference Processing With Collaborative Human-AI Systems- [electronic resource]
Huffaker, Jordan S.Computer Science & Engineering. | University of Michigan. | 2023
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6
Mitigating Social Challenges Among Vulnerable Communities With Machine Learning- [electronic resource]
Mitigating Social Challenges Among Vulnerable Communities With Machine Learning- [electronic resource]
Tabar, Maryam. | The Pennsylvania State University. | 2023
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7
Building Blocks for Data-Driven Theories of Language Understanding- [electronic resource]
Building Blocks for Data-Driven Theories of Language Understanding- [electronic resource]
Michael, Julian.Computer Science and Engineering. | University of Washington. | 2023
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8
Enhancing Ad-Blocking Systems for Better Web Browsing Security and Privacy.
Enhancing Ad-Blocking Systems for Better Web Browsing Security and Privacy.
Alrizah, Mshabab. | The Pennsylvania State University. | 2020
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9
Designing Interactive Data-Driven Tools for Understanding Urban Accessibility at Scale.
Designing Interactive Data-Driven Tools for Understanding Urban Accessibility at Scale.
Saha, Manaswi.Computer Science and Engineering. | University of Washington. | 2022
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10
Mapping Post-Disaster Need: Flexible Approaches to Rapidly Estimate Building Damage and Non-Recovery for Vulnerable Populations.
Mapping Post-Disaster Need: Flexible Approaches to Rapidly Estimate Building Damage and Non-Recovery for Vulnerable Populations.
Loos, Sabine. | Stanford University. | 2021
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