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Social Sciences 논문 리뷰
Social Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns
Xi Ouyang, Chaoyun Zhang 외 3명
arXiv (Cornell University)
|
2016
|
41 회 인용
Eliciting and Enforcing Subjective Individual Fairness.
Christopher Jung, Michael Kearns 외 4명
arXiv (Cornell University)
|
2019
|
41 회 인용
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou, Xavier Bouthillier 외 16명
arXiv (Cornell University)
|
2015
|
41 회 인용
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
arXiv (Cornell University)
|
2019
|
41 회 인용
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
Peilin Zhao, Jialei Wang 외 3명
arXiv (Cornell University)
|
2012
|
41 회 인용
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai, Kian Hsiang Low 외 1명
arXiv (Cornell University)
|
2020
|
41 회 인용
From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices.
Jessica Morley, Luciano Floridi 외 2명
arXiv (Cornell University)
|
2019
|
41 회 인용
Individual-level randomness in a nonatomic population
Edward J. Green
arXiv (Cornell University)
|
2019
|
41 회 인용
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
arXiv (Cornell University)
|
2023
|
41 회 인용
Machine Generation and Detection of Arabic Manipulated and Fake News
El Moatez Billah Nagoudi, AbdelRahim Elmadany 외 3명
arXiv (Cornell University)
|
2020
|
41 회 인용
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