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   Articles with "conditional random" as a keyword



RETRACTED ARTICLE: Classification of severe autism in fMRI using functional connectivity and conditional random forests

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recommendations! 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)… read more here.

Keywords: conditional random; autism; connectivity; set male ... See more keywords

Fine-Grained Opinion Mining on Chinese Car Reviews with Conditional Random Field

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recommendations! 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… read more here.

Keywords: conditional random; reviews conditional; fine; grained opinion ... See more keywords

Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds.

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recommendations! 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… read more here.

Keywords: conditional random; random field; field; segmentation ... See more keywords

De-identification of clinical notes via recurrent neural network and conditional random field.

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recommendations! 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… read more here.

Keywords: conditional random; challenge; random field; recurrent neural ... See more keywords

Recognizing activities from partially observed streams using posterior regularized conditional random fields

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recommendations! 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… read more here.

Keywords: conditional random; random fields; posterior regularized; recognizing activities ... See more keywords

Sketch simplification based on conditional random field and least squares generative adversarial networks

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recommendations! 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… read more here.

Keywords: sketch simplification; simplification; random field; conditional random ... See more keywords
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RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields

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recommendations! 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… read more here.

Keywords: conditional random; segmentation; random; dense conditional ... See more keywords

Linear Chain Conditional Random Field for Operating Mode Identification and Multimode Process Monitoring

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recommendations! 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… read more here.

Keywords: linear chain; random field; mode identification; conditional random ... See more keywords

Automatic Segmentation of Cervical Nuclei Based on Deep Learning and a Conditional Random Field

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recommendations! 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… read more here.

Keywords: conditional random; information; random field; nuclei ... See more keywords
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Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling

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recommendations! 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… read more here.

Keywords: random field; structure; point; conditional random ... See more keywords

Adversarial Network With Higher Order Potential Conditional Random Field for PolSAR Image Classification

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3322344

Abstract: Effective and efficient pixel-level classification of polarimetric synthetic aperture radar (PolSAR) images represents an important step toward their interpretation and knowledge discovery. After the extraction and representation of discriminative features, the related important issues are… read more here.

Keywords: classification; polsar image; network; conditional random ... See more keywords