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Social Sciences 논문 리뷰
Social Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows
Michael Salim, Thomas Uram 외 4명
arXiv (Cornell University)
|
2019
|
22 회 인용
Bias In, Bias Out? Evaluating the Folk Wisdom
Ashesh Rambachan, Jonathan Roth
arXiv (Cornell University)
|
2019
|
22 회 인용
BigVAR: Tools for Modeling Sparse High-Dimensional Multivariate Time Series
William B. Nicholson, David S. Matteson 외 1명
arXiv (Cornell University)
|
2017
|
22 회 인용
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji, Padhraic Smyth 외 1명
arXiv (Cornell University)
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2020
|
22 회 인용
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis
C. Gary Mena, Arno De Caigny 외 3명
arXiv (Cornell University)
|
2019
|
22 회 인용
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter M. Koolen, Peter Grünwald 외 1명
arXiv (Cornell University)
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2016
|
22 회 인용
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task
Thomas Felber
arXiv (Cornell University)
|
2021
|
22 회 인용
Controlled Query Evaluation for Datalog and OWL 2 Profile Ontologies
Bernardo Cuenca Grau, Evgeny Kharlamov 외 2명
arXiv (Cornell University)
|
2015
|
22 회 인용
Convergence of stochastic 2D inviscid Boussinesq equations with transport noise to a deterministic viscous system
Dejun Luo
arXiv (Cornell University)
|
2020
|
22 회 인용
CoronaVis: A Real-time COVID-19 Tweets Data Analyzer and Data Repository
Kabir My, Sanjay Madria
arXiv (Cornell University)
|
2020
|
22 회 인용
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