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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
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review
Tidor-Vlad Pricope
arXiv (Cornell University)
|
2021
|
26 회 인용
Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology
Adrian Groza
arXiv (Cornell University)
|
2020
|
26 회 인용
Dice in the Black Box: User Experiences with an Inscrutable Algorithm
Aaron Springer, Victoria Hollis 외 1명
arXiv (Cornell University)
|
2018
|
26 회 인용
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication
Yuanhao Wang, Jiachen Hu 외 2명
arXiv (Cornell University)
|
2019
|
26 회 인용
Does it Matter Which Citation Tool is Used to Compare the h-index of a Group of Highly Cited Researchers?
Nader Ale Ebrahim, Hadi Farhadi 외 5명
arXiv (Cornell University)
|
2013
|
26 회 인용
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
Xinyi Li, Yinchuan Li 외 3명
arXiv (Cornell University)
|
2019
|
26 회 인용
DSmT: A new paradigm shift for information fusion
Jean Dezert, Florentín Smarandache
ArXiv.org
|
2006
|
26 회 인용
Education 5.0: Requirements, Enabling Technologies, and Future Directions
Shabir Ahmad, Sabina Umirzakova 외 3명
arXiv (Cornell University)
|
2023
|
26 회 인용
Emotional Reactions and the Pulse of Public Opinion: Measuring the Impact of Political Events on the Sentiment of Online Discussions
Sandra González‐Bailón, Rafael E. Banchs 외 1명
arXiv (Cornell University)
|
2010
|
26 회 인용
Employee Attrition Prediction
Rahul Yedida, Rahul Reddy 외 4명
arXiv (Cornell University)
|
2018
|
26 회 인용
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