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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
Haohan Zhang, Fengrui Hua 외 4명
arXiv (Cornell University)
|
2023
|
8 회 인용
Using Deep Learning for price prediction by exploiting stationary limit order book features
Avraam Tsantekidis, Nikolaos Passalis 외 4명
arXiv (Cornell University)
|
2018
|
8 회 인용
Using graphs to find the best block designs
R. A. Bailey, Peter J. Cameron
arXiv (Cornell University)
|
2011
|
8 회 인용
Vidur: A Large-Scale Simulation Framework For LLM Inference
Amey Agrawal, Nitin Kedia 외 6명
arXiv (Cornell University)
|
2024
|
8 회 인용
Views from students and professors in a nonmajor introductory physics course: What is interdisciplinarity?
Ian Descamps, Thomas Moore 외 1명
arXiv (Cornell University)
|
2020
|
8 회 인용
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning
Ran Zhao, Yuntian Deng 외 4명
arXiv (Cornell University)
|
2018
|
8 회 인용
Vulnerabilities in the use of similarity tables in combination with pseudonymisation to preserve data privacy in the UK Office for National Statistics' Privacy-Preserving Record Linkage
Chris Culnane, Benjamin I. P. Rubinstein 외 1명
arXiv (Cornell University)
|
2017
|
8 회 인용
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
Alberto González-Sanz, Jean–Michel Loubes 외 1명
arXiv (Cornell University)
|
2022
|
8 회 인용
What is the theoretical time precision achievable using a dCFD algorithm ?
E. Delagnes
arXiv (Cornell University)
|
2016
|
8 회 인용
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
Sean McGrath, Parth S. Mehta 외 3명
arXiv (Cornell University)
|
2020
|
8 회 인용
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