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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
Byzantine Fault Tolerant Distributed Quickest Change Detection
Erhan Bayraktar, Lifeng Lai
arXiv (Cornell University)
|
2013
|
4 회 인용
Calculating power by bootstrap, with an application to cluster-randomized trials
Ken Kleinman, Susan S. Huang
arXiv (Cornell University)
|
2014
|
4 회 인용
CaloScore v2: Single-shot Calorimeter Shower Simulation with Diffusion Models
V. M. Mikuni, Benjamin Nachman
ArXiv.org
|
2023
|
4 회 인용
Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?
Kian Tehranian
arXiv (Cornell University)
|
2023
|
4 회 인용
Can Scientific Journals be Classified in terms of Aggregated Journal-Journal Citation Relations using the Journal Citation Reports?
Loet Leydesdorff
ArXiv.org
|
2009
|
4 회 인용
Can scientists and their institutions become their own open access publishers?
Karen Shashok
arXiv (Cornell University)
|
2017
|
4 회 인용
Capturing the “Whole Tale” of Computational Research: Reproducibility in Computing Environments
Bertram Ludäscher, Kyle Chard 외 5명
arXiv (Cornell University)
|
2017
|
4 회 인용
Cascading Citation Expansion
Chaomei Chen
arXiv (Cornell University)
|
2018
|
4 회 인용
Case Studies of Causal Discovery from IT Monitoring Time Series
Ali Aït-Bachir, Karim ASSAAD 외 6명
arXiv (Cornell University)
|
2023
|
4 회 인용
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
Yuzhe Zhang, Yipeng Zhang 외 3명
arXiv (Cornell University)
|
2024
|
4 회 인용
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