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
Bayesian Reinforcement Learning: A Survey
Mohammad Ghavamzadeh, Shie Mannor 외 2명
CERN Document Server (European Organization for Nuclear Research)
|
2016
|
10 회 인용
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
Bálint Mucsányi, Michael Kirchhof 외 1명
arXiv (Cornell University)
|
2024
|
10 회 인용
Bertinho: Galician BERT Representations
David Vilares, Marcos García 외 1명
arXiv (Cornell University)
|
2021
|
10 회 인용
Best Practices for Managing Data Annotation Projects
Tina Tseng, Amanda Stent 외 1명
arXiv (Cornell University)
|
2020
|
10 회 인용
Bias and population structure in the actuation of sound change
James Kirby, Morgan Sonderegger
arXiv (Cornell University)
|
2015
|
10 회 인용
Bias correction for estimators of the extremal index
Holger Drees
arXiv (Cornell University)
|
2011
|
10 회 인용
Bias of the Hubble constant value caused by errors in galactic distance indicators
S. L. Parnovsky
arXiv (Cornell University)
|
2021
|
10 회 인용
Big Data Analytics and AI in Mental Healthcare
Ariel Rosenfeld, David Benrimoh 외 15명
arXiv (Cornell University)
|
2019
|
10 회 인용
Big Data and Social/Medical Sciences: State of the Art and Future Trends
Adil Rajput, Samara M. Ahmed
arXiv (Cornell University)
|
2019
|
10 회 인용
Big data challenges for the social sciences: from society and opinion to replications
Dominique Boullier
arXiv (Cornell University)
|
2016
|
10 회 인용
506
507
508
509
510
