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Improving Text Classification Accuracy by Training Label Cleaning [PDF]
ACM Transactions on Information Systems, 2013 In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain. Semisupervised learning and active learning are two strategies whose aim is maximizing the effectiveness of the resulting classifiers for a given amount of training effort.
Esuli A, Sebastiani F
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Clean Ocean Advocate, January 2008
, 2008 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Clean energy Australia report 2014 [PDF]
, 2015 The review of the Renewable Energy Target (RET), which was announced in February 2014 and continued beyond the end of the year, essentially froze new investment in large-scale renewable energy in Australia last year.
Clean Energy Council
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Clean Ocean Advocate, April 2007
, 2007 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.
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Kallima: A Clean-Label Framework for Textual Backdoor Attacks
, 2022 Although Deep Neural Network (DNN) has led to unprecedented progress in various natural language processing (NLP) tasks, research shows that deep models are extremely vulnerable to backdoor attacks. The existing backdoor attacks mainly inject a small number of poisoned samples into the training dataset with the labels changed to the target one.
Xiaoyi Chen +5 more
openaire +4 more sources
Clean Ocean Advocate, November 2006
, 2006 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.
core +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source
A review on label cleaning techniques for learning with noisy labels
ICT ExpressClassification models categorize objects into given classes, guided by training samples with input features and labels. In practice, however, labels can be corrupted by human error or mistakes, known as label noise, which degrades classification accuracy. To address this issue, recently, various works propose the algorithms to clean datasets with label
Jongmin Shin +3 more
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Clean Ocean Advocate, October 2008
, 2008 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.
core +2 more sources