Results 41 to 50 of about 8,510,788 (298)
Remote Sensing, 2023 Forest cover mapping is of paramount importance for environmental monitoring, biodiversity assessment, and forest resource management. In the realm of forest cover mapping, significant advancements have been made by leveraging fully supervised semantic ...
Beiqi Chen +5 more
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Modelling of therapeutic action during mirror therapy
Current Directions in Biomedical Engineering, 2017 In patients with pathology of one limb, mirror therapy (MT) uses the mirror reflection of the unaffected side to improve function of the affected limb [1]. There is some evidence that Virtual Reality (VR) can substitute the real mirror [2].
Morkisch Nadine +3 more
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Text Classification Model Enhanced by Unlabeled Data for LaTeX Formula
Applied Sciences, 2021 Generic language models pretrained on large unspecific domains are currently the foundation of NLP. Labeled data are limited in most model training due to the cost of manual annotation, especially in domains including massive Proper Nouns such as ...
Hua Cheng +4 more
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When is self-training effective for parsing? [PDF]
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008 Self-training has been shown capable of improving on state-of-the-art parser performance (McClosky et al., 2006) despite the conventional wisdom on the matter and several studies to the contrary (Charniak, 1997; Steedman et al., 2003). However, it has remained unclear when and why self-training is helpful. In this paper, we test four hypotheses (namely,
David McClosky +2 more
openaire +2 more sources
, 2017 Context: Low back pain (LBP) and lower limb injuries are common among Australian Football League (AFL) players. Smaller size of 1 key trunk muscle, the lumbar multifidus (MF), has been associated with LBP and injuries in footballers.
Hides, Julie A +7 more
core +1 more source
Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of remote sensing. However, due to the time-consuming and labor-intensive data collection, there are few labeled datasets ...
Yangyang Li +6 more
doaj +1 more source
Agronomy, 2023 To address the cost issue associated with pixel-level image annotation in fully supervised semantic segmentation, a method based on semi-supervised semantic segmentation is proposed for extracting winter wheat planting areas.
Mingmei Zhang +3 more
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A Collaborative Learning Model for Skin Lesion Segmentation and Classification
Diagnostics, 2023 The automatic segmentation and classification of skin lesions are two essential tasks in computer-aided skin cancer diagnosis. Segmentation aims to detect the location and boundary of the skin lesion area, while classification is used to evaluate the ...
Ying Wang, Jie Su, Qiuyu Xu, Yixin Zhong
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Informatics, 2023 To pursue a healthy lifestyle, people are increasingly concerned about their food ingredients. Recently, it has become a common practice to use an online recipe to select the ingredients that match an individual’s meal plan and healthy diet preference ...
Kokoy Siti Komariah +5 more
doaj +1 more source