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Social Sciences 论文解读
Social Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns
Xi Ouyang, Chaoyun Zhang, +3
arXiv (Cornell University)
|
2016
|
41 citations
Eliciting and Enforcing Subjective Individual Fairness.
Christopher Jung, Michael Kearns, +4
arXiv (Cornell University)
|
2019
|
41 citations
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou, Xavier Bouthillier, +16
arXiv (Cornell University)
|
2015
|
41 citations
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
arXiv (Cornell University)
|
2019
|
41 citations
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
Peilin Zhao, Jialei Wang, +3
arXiv (Cornell University)
|
2012
|
41 citations
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai, Kian Hsiang Low, +1
arXiv (Cornell University)
|
2020
|
41 citations
From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices.
Jessica Morley, Luciano Floridi, +2
arXiv (Cornell University)
|
2019
|
41 citations
Individual-level randomness in a nonatomic population
Edward J. Green
arXiv (Cornell University)
|
2019
|
41 citations
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
arXiv (Cornell University)
|
2023
|
41 citations
Machine Generation and Detection of Arabic Manipulated and Fake News
El Moatez Billah Nagoudi, AbdelRahim Elmadany, +3
arXiv (Cornell University)
|
2020
|
41 citations
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