Rule-Enhanced Active Learning for Semi-Automated Weak Supervision [PDF]
AI, 2022 A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learning, and fine-tuning of pretrained models reduce this ...
David Kartchner +4 more
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Acoustic Inspection of Concrete Structures Using Active Weak Supervision and Visual Information [PDF]
Sensors, 2020 Concrete structures are featured heavily in most modern societies. In recent years, the need to inspect those structures has been a growing concern and the automation of inspection methods is highly demanded.
Jun Younes Louhi Kasahara +2 more
doaj +4 more sources
Cognitive Refined Augmentation for Video Anomaly Detection in Weak Supervision [PDF]
Sensors, 2023 Weakly supervised video anomaly detection is a methodology that assesses anomaly levels in individual frames based on labeled video data. Anomaly scores are computed by evaluating the deviation of distances derived from frames in an unbiased state ...
Junyeop Lee +3 more
doaj +2 more sources
Improving fishing ground estimation with weak supervision and meta-learning. [PDF]
PLoS ONEEstimating fishing grounds is an important task in the fishing industry. This study modeled the fisher's decision-making process based on sea surface temperature patterns as a pattern recognition task.
Kazuki Takasan, Masaaki Iiyama
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Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT [PDF]
Nature Communications, 2021 Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome.
Sabri Eyuboglu +7 more
doaj +2 more sources
Remote Sensing, 2022 Crop field boundaries aid in mapping crop types, predicting yields, and delivering field-scale analytics to farmers. Recent years have seen the successful application of deep learning to delineating field boundaries in industrial agricultural systems ...
Sherrie Wang +2 more
doaj +3 more sources
A clinical text classification paradigm using weak supervision and deep representation [PDF]
BMC Medical Informatics and Decision Making, 2019 Background Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives.
Yanshan Wang +7 more
doaj +2 more sources
Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology exam [PDF]
International Journal of Medical Informatics, 2022 Justin K Huang, Sophia Wang
exaly +2 more sources
Human-pose estimation based on weak supervision
Virtual Reality & Intelligent Hardware, 2023 Background: In computer vision, simultaneously estimating human pose, shape, and clothing is a practical issue in real life, but remains a challenging task owing to the variety of clothing, complexity of deformation, shortage of large-scale datasets, and
Xiaoyan Hu +3 more
doaj +1 more source
An Improved Point-Level Supervision Method for Temporal Action Localization
IEEE Access, 2023 Recently, with the expansion of the video platform market, research has been actively conducted on temporal action localization (TAL) for detecting actions in atypical videos.
Sangjin Lee +3 more
doaj +1 more source