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논문 리뷰
Economics, Econometrics and Finance
Economics, Econometrics and Finance 논문 리뷰
Economics, Econometrics and Finance 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,392개의 결과
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Shuo Sun, Xue, Wanqi 외 5명
arXiv (Cornell University)
|
2021
|
6 회 인용
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes
Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke 외 4명
arXiv (Cornell University)
|
2021
|
6 회 인용
Detailed simulation results for some wealth distribution models in Econophysics
Kunal Bhattacharya, G. Mukherjee 외 1명
ArXiv.org
|
2005
|
6 회 인용
Detect & Describe: Deep learning of bank stress in the news
Samuel Rönnqvist, Peter Sarlin
arXiv (Cornell University)
|
2015
|
6 회 인용
Detection of periodicity in functional time series
Siegfried Hörmann, Kokoszka, Piotr 외 1명
arXiv (Cornell University)
|
2016
|
6 회 인용
Determinants of budget deficits: Focus on the effects from the COVID-19 crisis
Dragan Tevdovski, Petar Jolakoski 외 1명
arXiv (Cornell University)
|
2021
|
6 회 인용
Dichotomy for Voting Systems
Edith Hemaspaandra, Lane A. Hemaspaandra
ArXiv.org
|
2005
|
6 회 인용
Discrete scale invariance in turbulence?
D. Sornette
arXiv (Cornell University)
|
1998
|
6 회 인용
Dividing a Graphical Cake
Xiaohui Bei, Warut Suksompong
arXiv (Cornell University)
|
2019
|
6 회 인용
Dividing Bads is Harder than Dividing Goods: On the Complexity of Fair and Efficient Division of Chores
Bhaskar Ray Chaudhury, Jugal Garg 외 2명
arXiv (Cornell University)
|
2020
|
6 회 인용
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