Source Code Error Understanding Using BERT for Multi-Label Classification by Md Faizul Ibne Amin, Yutaka Watanobe, Md Mostafizer Rahman, Atsushi Shirafuji

Subjects: “…Multi-label classification…”
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Pesticide Safety Miniposter: Labels and Material Safety Data Sheets (MSDSs) by Rebecca W. Baldwin, Stephanie K. Larrick Hill, Philip Koehler, P. A. Mitola, J. C. Medley

“…You have heard the phrase, “the label is the law.” Pest control technicians need to learn the components of a pesticide label and the information they can find on the Material Safety Data Sheet (MSDS). …”
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A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method by Jooyoung Lee, Jihye Byun, Jaedeok Lim, Jaeyun Lee

“…The new labeling method directly labels the number of occupants instead of performing face or human labeling. …”
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Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification by Kyle Lucke, Aleksandar Vakanski, Min Xian

“…We find the soft-label approach can significantly increase the model’s sensitivity and specificity, while the training with adversarial samples can noticeably improve the balance between sensitivity and specificity. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

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Flow-splitting algorithm of MPLS single label based on programmable router by Lai-quan HAN, Jin-kuan WANG, Xing-wei WANG

“…To increase the QoS (quality of service) of data transmission, a novel flow-splitting algorithm, multipathMPLS, was proposed, which combined three technologies of MPLS (multi protocol label switching), concurrent multi-path and programmable router. …”
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Mining label-free consistency regularization for noisy facial expression recognition by Yumei Tan, Haiying Xia, Shuxiang Song

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Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars by Zhang Fuxiang, Zheng Yu, Huang Yongjian, Wang Chunmei, Huang Fengshan

Subjects: “…Labeling robot…”
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On-label alcohol beverage warnings in Ireland- setting a standard for Europe by Frank Murray

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Private Label: o potencial impacto no mercado de medicamentos no Brasil by Ronaldo Raemy Rangel, Luan Vinicius Bernardelli, Paulo Rogério Alves Brene

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Microfluidic-Based F-Labeling of Biomolecules for Immuno–Positron Emission Tomography by Kan Liu, Eric J. Lepin, Ming-Wei Wang, Feng Guo, Wei-Yu Lin, Yi-Chun Chen, Shannon J. Sirk, Sebastian Olma, Michael E. Phelps, Xing-Zhong Zhao, Hsian-Rong Tseng, R. Michael van Dam, Anna M. Wu, Clifton K.-F. Shen

“…The identified optimized conditions were then translated to bench-scale 18 F labeling of a cancer-specific engineered antibody fragments, enabling microPET imaging of tumors in xenografted mice at 0.5 to 4 hours postinjection.…”
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Open-world barely-supervised learning via augmented pseudo labels by Zhongnian Li, Yanyan Ding, Meng Wei, Xinzheng Xu

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Detecting Community Structures in Networks by Label Propagation with Prediction of Percolation Transition by Aiping Zhang, Guang Ren, Yejin Lin, Baozhu Jia, Hui Cao, Jundong Zhang, Shubin Zhang

“…We propose a label propagation algorithm with prediction of percolation transition (LPAp). …”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

“…Differences in assessment criteria among pathologists result in ambiguously labeled cells, which poses a significant challenge for deep learning networks. …”
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A Long Fluorescence Lifetime Probe for Labeling of Gram-Negative Bacteria by Assel Baibek, Zuzanna Konieczna, Muhammed Üçüncü, Zainab S. Alghamdi, Richa Sharma, Mathew H. Horrocks, Mark Bradley

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Pesticide Safety Miniposter: Labels and Material Safety Data Sheets (MSDSs) by Rebecca W. Baldwin, Stephanie K. Larrick Hill, Philip Koehler, P. A. Mitola, J. C. Medley

“…You have heard the phrase, “the label is the law.” Pest control technicians need to learn the components of a pesticide label and the information they can find on the Material Safety Data Sheet (MSDS). …”
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From superior contrast to super resolution label free optical microscopy by Nikhil Jayakumar, Balpreet Singh Ahluwalia

“…Abstract Label-free optical microscopy utilizes the information encoded in light scattered off unlabeled particles to generate the images. …”
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An integrated approach using proximity labelling and chemical crosslinking to probe in situ host-virus protein–protein interactions by Jiaqi Li, Zhewang Lin

“…In this perspective, we discuss the integration of two latest proteomic techniques, based on in situ proximity labelling and chemical crosslinking methods, to uncover host-virus protein–protein interactions in living cells.…”
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Evaluation of Prognostic Factors Following Flow-Cytometric DNA Analysis after Cytokeratin Labelling: I. Breast Cancer by Pauline Wimberger, Peter Hillemanns, Thomas Kapsner, Hermann Hepp, Rainer Kimmig

“…The presented study is a prospective study concerning prognostic significance of DNA ploidy and S‐phase fraction in breast cancer following enrichment of tumor cells by cytokeratin labelling. Epithelial cells were labeled by FITC‐conjugated cytokeratin antibody (CK 5, 6, 8, and CK 17) prior to flow cytometric cell cycle analysis in 327 fresh specimens of primary breast cancer. …”
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Concerns arise: wheat allergy risk in pre-packaged food products from China by Wenfeng Liu, Jian Wang, Zhongliang Wang, Fangfang Min, Yong Wu, Juanli Yuan, Jinyan Gao, Hongbing Chen

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