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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
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification
Georgios Karagiannis, M. A. Saeed 외 2명
arXiv (Cornell University)
|
2020
|
8 회 인용
Search Strategy Formulation for Systematic Reviews: issues, challenges and opportunities
Andrew MacFarlane, Tony Russell‐Rose 외 1명
arXiv (Cornell University)
|
2021
|
8 회 인용
Secure Equilibria in Weighted Games
Véronique Bruyère, Noémie Meunier 외 1명
arXiv (Cornell University)
|
2014
|
8 회 인용
SEED: Domain-Specific Data Curation With Large Language Models
Zui Chen, Lei Cao 외 8명
arXiv (Cornell University)
|
2023
|
8 회 인용
"Seed+Expand": A validated methodology for creating high quality publication oeuvres of individual researchers
Linda Reijnhoudt, Rodrigo Costas 외 3명
arXiv (Cornell University)
|
2013
|
8 회 인용
Semantic Labeling Using a Deep Contextualized Language Model
Mohamed Trabelsi, Jin Cao 외 1명
arXiv (Cornell University)
|
2020
|
8 회 인용
Sequential Probability Assignment with Binary Alphabets and Large Classes of Experts
Alexander Rakhlin, Karthik Sridharan
arXiv (Cornell University)
|
2015
|
8 회 인용
Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
Phiala E. Shanahan, K. Terao 외 1명
arXiv (Cornell University)
|
2022
|
8 회 인용
Solving imperfect-information games via exponential counterfactual regret minimization
Huale Li, Xuan Wang 외 5명
arXiv (Cornell University)
|
2020
|
8 회 인용
SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
Anirudh Koul, Siddha Ganju 외 2명
arXiv (Cornell University)
|
2020
|
8 회 인용
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