Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Social Sciences
Social Sciences 논문 리뷰
Social Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
9999+개의 결과
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms
Jevan Hutson, Jessie G. Taft 외 2명
arXiv (Cornell University)
|
2018
|
10 회 인용
Deception Detection in Videos using the Facial Action Coding System
Hammad Ahmed, Usama Ijaz Bajwa 외 2명
arXiv (Cornell University)
|
2021
|
10 회 인용
Decoupling Exploration and Exploitation in Multi-Armed Bandits
Orly Avner, Shie Mannor 외 1명
arXiv (Cornell University)
|
2012
|
10 회 인용
Deep calibration of the quadratic rough Heston model
Mathieu Rosenbaum, Jianfei Zhang
arXiv (Cornell University)
|
2021
|
10 회 인용
Deep Contextual Multi-armed Bandits
Mark Collier, Héctor Llorens
arXiv (Cornell University)
|
2018
|
10 회 인용
Deep learning based numerical approximation algorithms for stochastic partial differential equations
Christian Beck, S. Becker 외 3명
arXiv (Cornell University)
|
2020
|
10 회 인용
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong, Thomas Bäck 외 2명
arXiv (Cornell University)
|
2021
|
10 회 인용
Deep Reinforcement Learning in a Monetary Model
Mingli Chen, Andreas Joseph 외 3명
arXiv (Cornell University)
|
2021
|
10 회 인용
Deep Style Match for Complementary Recommendation
Kui Zhao, Hu Xia 외 2명
arXiv (Cornell University)
|
2017
|
10 회 인용
Designing for Interpersonal Museum Experiences
Anders Sundnes Løvlie, Lina Eklund 외 3명
arXiv (Cornell University)
|
2020
|
10 회 인용
512
513
514
515
516
