Ptr4BERT: Automatic Semisupervised Chinese Government Message Text Classification Method Based on Transformer-Based Pointer Generator Network by Mingxin Li, Kaiqian Yin, Minghao Wang

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Automated Global Classification of Surface Layer Stratification Using High‐Resolution Sea Surface Roughness Measurements by Satellite Synthetic Aperture Radar by Justin E. Stopa, Chen Wang, Doug Vandemark, Ralph Foster, Alexis Mouche, Bertrand Chapron

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EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models by Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen, Xiaoqing Gu

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Characteristics That Predict Psoriatic Arthritis by the Classification Criteria for Psoriatic Arthritis in Patients With Juvenile Idiopathic Arthritis 18 Years After Disease Onset by Agnes Szentpetery, Mia Glerup, Kristiina Aalto, Ellen D. Arnstad, Anders Fasth, Troels Herlin, Charlotte Myrup, Ellen Nordal, Suvi Peltoniemi, Marite Rygg, Veronika Gjertsen Rypdal, Lillemor Berntson

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Risk assessment and hierarchical classification of foodborne disease epidemics during major events in Beijing: an empirical study based on surveillance data analysis by Jinru JIANG, Yangbo WU, Tongyu WANG, Chao WANG, Yanlin NIU, Di WANG, Liping LI, Qian CHEN, Yao ZHAO, Xiaochen MA

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Does Classification of Persons with Fibromyalgia into Multidimensional Pain Inventory Subgroups Detect Differences in Outcome after a Standard Chronic Pain Management Program? by Martin L Verra, Felix Angst, Roberto Brioschi, Susanne Lehmann, Francis J Keefe, J Bart Staal, Rob A de Bie, André Aeschlimann

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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

“…Our model demonstrates improvements in diagnostic classification and attention heatmap quality over the previously described clustering-constrained-attention multiple-instance learning method on several lesion classes in rat livers (38% improvement in AUC). …”
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Semi-Automated Classification of Side-Scan Sonar Data for Mapping <i>Sabellaria spinulosa</i> Reefs in the Brown Bank, Dutch Continental Shelf by Timo Constantin Gaida, Bas Binnerts, Oscar Bos

“…A semi-automated classification workflow, based on a support vector machine (machine learning), was developed to map <i>Sabellaria</i> reefs using SSS and video data. …”
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

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La fabrication de l’élève en difficulté by Christophe Roiné

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Unsuccessful pedagogical situations by Victoria V. Dobrova

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Tokenizers for African Languages by Goodwill Erasmo Ndomba, Medard Edmund Mswahili, Young-Seob Jeong

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Visual Gradation of Biological Soil Crust Development: A Simple and Effective Recording Method by Xinyu Zhang, Ping He, Jie Xu

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G&G Attack: General and Geometry-Aware Adversarial Attack on the Point Cloud by Geng Chen, Zhiwen Zhang, Yuanxi Peng, Chunchao Li, Teng Li

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A Classifier for Automatic Categorisation of Chronic Venous Insufficiency Images by Talha Karadeniz, Gul Tokdemir, H. Hakan Maras

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Food consumption associated with depression, anxiety and stress in students entering a public university by Maria Eduarda Ribeiro José, Ivy Evangelista Costa Ramos, Taciana Maia de Sousa, Daniela Silva Canella

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Cesarean section in Suriname using robson classification: a two-year nationwide cross-sectional study on rates, risk factors and perinatal outcomes of cesarean section by Zita D. Prüst, Josephine A. I. Dupont, Safir Liesdek, Kitty W. M. Bloemenkamp, Thomas van den Akker, Kim J. C. Verschueren, Lachmi R. Kodan

“…We described cesarean births according to the Robson-10 classification and used descriptive statistics to analyze CS frequencies and perinatal outcomes. …”
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A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis by Muhammad Zaman, Muhammad Khubaib, Tanzila Kahkashan, Anam Zahoor, Narges Shahbaz, Shahzad Shoukat, Fahma Nisar

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Morphological and clinical study of lateral malleolus fractures based on fracture mapping: a retrospective study by Ruizhi Cai, Shuo Feng, Chuhan Chen, Hao Lu, Hailin Xu

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