DSVD‐autoencoder: A scalable distributed privacy‐preserving method for one‐class classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22296
Abstract: One‐class classification has gained interest as a solution to certain kinds of problems typical in a wide variety of real environments like anomaly or novelty detection. Autoencoder is the type of neural network that has… read more here.
Keywords: dsvd autoencoder; autoencoder; privacy; one class ... See more keywords
Clustering via fuzzy one-class quadratic surface support vector machine
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DOI: 10.1007/s00500-016-2462-x
Abstract: This paper proposes a soft clustering algorithm based on a fuzzy one-class kernel-free quadratic surface support vector machine model. One main advantage of our new model is that it directly uses a quadratic function for… read more here.
Keywords: support vector; class; fuzzy one; quadratic surface ... See more keywords
Abnormal event detection for video surveillance using deep one-class learning
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5244-2
Abstract: Abnormal event detection and localization is a challenging research problem in intelligent video surveillance. It is designed to automatically identify abnormal events from monitoring videos. The main difficulty of this task lies in that there… read more here.
Keywords: video; detection; surveillance; class ... See more keywords
Drought sensitivity mapping using two one-class support vector machine algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2017.04.017
Abstract: This paper investigates the use of standardised precipitation index (SPI) and the enhanced vegetation index (EVI) as indicators of soil moisture. On the other hand, we attempted to produce a drought sensitivity map (DSM) for… read more here.
Keywords: two one; drought sensitivity; one class; using two ... See more keywords
Honey authentication in terms of its adulteration with sugar syrups using UV-Vis spectroscopy and one-class classifiers.
Sign Up to like & getrecommendations! Published in 2021 at "Food chemistry"
DOI: 10.1016/j.foodchem.2021.130467
Abstract: This work proposes the use of UV-Vis spectroscopy and one-class classifiers to authenticate honey in terms of their individual and simultaneous adulterations with corn syrup, agave syrup, and sugarcane molasses. Then, spectra of aqueous authentic… read more here.
Keywords: class classifiers; spectroscopy one; vis spectroscopy; spectroscopy ... See more keywords
1H NMR spectroscopy, one-class classification and outlier diagnosis: A powerful combination for adulteration detection in paprika powder
Sign Up to like & getrecommendations! Published in 2021 at "Food Control"
DOI: 10.1016/j.foodcont.2021.108205
Abstract: Abstract Paprika powder is a widely consumed high-priced product and therefore particularly prone to fraudulent practices. Nuclear magnetic resonance spectroscopy combined with one-class classification was applied for non-targeted detection of paprika adulteration and further chemometric… read more here.
Keywords: adulteration; spectroscopy; powder; one class ... See more keywords
Distribution independent threshold setting based on one-class support vector machine
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.532
Abstract: Abstract In this paper, threshold setting issues for data-driven fault detection are addressed. It is state of the art that multivariate analysis based threshold setting schemes are widely applied, which generally require detailed knowledge about… read more here.
Keywords: machine; one class; distribution; threshold setting ... See more keywords
From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.10.036
Abstract: The lack of faulty condition data reduces the feasibility of supervised learning for fault detection or fault severity discrimination in new manufacturing technologies. To deal with this issue, one-class learning arises for building binary discriminative… read more here.
Keywords: fault detection; fault; severity discrimination; one class ... See more keywords
On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox
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DOI: 10.1016/j.neucom.2016.04.070
Abstract: Abstract One-class classification (OCC) has been prime concern for researchers and effectively employed in various disciplines. But, traditional methods based one-class classifiers are very time consuming due to its iterative process and various parameters tuning.… read more here.
Keywords: class classifiers; class; extreme learning; learning machine ... See more keywords
Identifying potential drug targets in hepatocellular carcinoma based on network analysis and one-class support vector machine
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DOI: 10.1038/s41598-019-46540-x
Abstract: Hepatocellular carcinoma (HCC) is one major cause of cancer-related death worldwide. But now, the systematic therapy for the advanced stages of HCC is rather limited. Thus, the discovery of novel drug targets and thereafter targeted… read more here.
Keywords: drug; hepatocellular carcinoma; drug target; one class ... See more keywords
O-PCF algorithm for one-class classification
Sign Up to like & getrecommendations! Published in 2020 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2019.1581191
Abstract: One-class classification, or outlier detection, is of great importance when data can be properly obtained from only one target class. The problem has many applications in various areas when the outlier class, defined as the… read more here.
Keywords: class; pcf algorithm; one class; target class ... See more keywords