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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04346-y
Abstract: Autism spectrum disorder (ASD) is a complex, pervasive, and heterogeneous neurodevelopmental condition with varying trajectories and significant male bias. In this study, we considered functional magnetic resonance images of four sets of participants: set (1)…
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Keywords:
conditional random;
autism;
connectivity;
set male ... See more keywords
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Published in 2020 at "Journal of Shanghai Jiaotong University (science)"
DOI: 10.1007/s12204-020-2184-1
Abstract: Nowadays, the Internet has penetrated into all aspects of people’s lives. A large number of online customer reviews have been accumulated in several product forums, which are valuable resources to be analyzed. However, these customer…
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Keywords:
conditional random;
reviews conditional;
fine;
grained opinion ... See more keywords
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Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.04.001
Abstract: Abstract In this study, we present a method for improving the quality of automatic single fallen tree stem segmentation in ALS data by applying a specialized constrained conditional random field (CRF). The entire processing pipeline…
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Keywords:
conditional random;
random field;
field;
segmentation ... See more keywords
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Published in 2017 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2017.05.023
Abstract: De-identification, identifying information from data, such as protected health information (PHI) present in clinical data, is a critical step to enable data to be shared or published. The 2016 Centers of Excellence in Genomic Science…
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Keywords:
conditional random;
challenge;
random field;
recurrent neural ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.004
Abstract: Abstract Recognizing activities from behavior data is important for comprehensively understanding human’s intents and interests. However, in most cases, the user behaviors are partially observed or recorded, which make it a big challenge to model…
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Keywords:
conditional random;
random fields;
posterior regularized;
recognizing activities ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.07.065
Abstract: Abstract Sketch simplification is a critical part of cartoon drawing work. Some existing approaches are already capable of simplifying simple sketches, but in some cases, they are still insufficient because of method diversity of sketch…
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Keywords:
sketch simplification;
simplification;
random field;
conditional random ... See more keywords
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Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116620
Abstract: Segmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease diagnosis, surgical planning, radiotherapy and chemotherapy. However, due to noise, motion, and partial volume effects, automated segmentation of lesions from…
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Keywords:
conditional random;
segmentation;
random;
dense conditional ... See more keywords
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Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c04005
Abstract: As a supervised machine learning algorithm, conditional random fields are mainly used for fault classification, which cannot detect new unknown faults. In addition, faulty variable location based on them has not been studied. In this…
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Keywords:
linear chain;
random field;
mode identification;
conditional random ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2871153
Abstract: Automatic and accurate cervical nucleus segmentation is important because nuclei carry substantial diagnostic information for automatic computer-assisted cervical cancer screening and diagnosis systems. In this paper, we propose a cervical nucleus segmentation method in which…
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Keywords:
conditional random;
information;
random field;
nuclei ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3061371
Abstract: The conditional random field is a suitable framework for contextual classification of two–dimensional (images) and three–dimensional (point clouds) data. This framework is based on probabilistic graphical models, an alternative representation of a conditional probability distribution…
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Keywords:
random field;
structure;
point;
conditional random ... See more keywords
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Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2797316
Abstract: Classification of remotely sensed images into land cover or land use is highly dependent on geographical information at least at two levels. First, land cover classes are observed in a spatially smooth domain separated by…
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Keywords:
conditional random;
random fields;
spatial supports;
decision fusion ... See more keywords