Minimizing Dataset Size Requirements for Machine Learning

Published 2017

Incorporating Active Learning into Machine Learning Techniques for Sensory Evaluation of Food

by Nhat-Vinh Lu, Roengchai Tansuchat, Takaya Yuizono, Van-Nam Huynh
Published 2020-06-01

Assessing the information content of structural and protein–ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and act...

by Raquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
Published 2020-05-01

Lab indicators standardization method for the regional healthcare platform: a case study on heart failure

by Ming Liang, ZhiXing Zhang, JiaYing Zhang, Tong Ruan, Qi Ye, Ping He
Published 2020-12-01

Active Learning using a Sample Selector Network

by Tan, Run Yan
Published 2020

Bounded Expectation of Label Assignment: Dataset Annotation by Supervised Splitting with Bias-Reduction Techniques

by Herbst, Alyssa Kathryn
Published 2020

SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation

by Brian E. Howard, Jason Phillips, Arpit Tandon, Adyasha Maharana, Rebecca Elmore, Deepak Mav, Alex Sedykh, Kristina Thayer, B. Alex Merrick, Vickie Walker, Andrew Rooney, Ruchir R. Shah
Published 2020-05-01

Accelerating Structural Design and Optimization using Machine Learning

by Singh, Karanpreet
Published 2021

Seleção e controle do viés de aprendizado ativo

by Davi Pereira dos Santos
Published 2016