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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
TOGLL: Correct and Strong Test Oracle Generation with LLMs
Soneya Binta Hossain, Matthew B. Dwyer
arXiv (Cornell University)
|
2024
|
7 회 인용
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
Xiaoying Zhang, Hong Xie 외 2명
arXiv (Cornell University)
|
2019
|
7 회 인용
Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations
Jan Bode, Niklas Kühl 외 3명
arXiv (Cornell University)
|
2023
|
7 회 인용
Towards Observability for Machine Learning Pipelines
Shreya Shankar, Aditya Parameswaran
arXiv (Cornell University)
|
2021
|
7 회 인용
Tracing scientific influence
Andrea Scharnhorst, Eugene Garfield
arXiv (Cornell University)
|
2010
|
7 회 인용
Transformation of Communication Processes: Data Journalism
Nicolas Kayser-Bril, Anastasia Valeeva 외 1명
arXiv (Cornell University)
|
2016
|
7 회 인용
TREPS: A Monte-Carlo Event Generator for Two-photon Processes at $e^+e^-$ Colliders using an Equivalent Photon Approximation
S. Uehara
arXiv (Cornell University)
|
2013
|
7 회 인용
Truthful Facility Location with Additive Errors
Iddan Golomb, Christos Tzamos
arXiv (Cornell University)
|
2017
|
7 회 인용
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
Manon Flageat, Antoine Cully
arXiv (Cornell University)
|
2023
|
7 회 인용
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Lakshay Chauhan, John Alberg 외 1명
arXiv (Cornell University)
|
2020
|
7 회 인용
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