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
On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
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
Capturing helpful reviews from social media for product quality improvement: a multi-class classification approach
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Production Research"
DOI: 10.1080/00207543.2017.1304664
Abstract: Reviews posted to social media are an effective source of information for helping quality managers to improve product quality. However, because helpful quality-related reviews may involve various aspects of product quality, previous studies confusing these… read more here.
Keywords: multi class; quality; product quality; class classification ... See more keywords
O-PCF algorithm for one-class classification
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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
A Multi-Class Classification Weighted Least Squares Twin Support Vector Hypersphere Using Local Density Information
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DOI: 10.1109/access.2018.2815707
Abstract: To overcome the disadvantages of the least squares twin support vector hypersphere (LS-TSVH), some improvements are proposed in this paper. First, LS-TSVH ignores the local sample information; it treats each sample equally when constructing the… read more here.
Keywords: multi class; classification; information; class classification ... See more keywords
One-Class Classification in Images and Videos Using a Convolutional Autoencoder With Compact Embedding
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2992804
Abstract: In One-Class Classification (OCC) problems, the classifier is trained with samples of a class considered normal, such that exceptional patterns can be identified as anomalies. Indeed, for real-world problems, the representation of the normal class… read more here.
Keywords: class classification; one class; class; convolutional autoencoder ... See more keywords
A One-Class Classification Method for Human Gait Authentication Using Micro-Doppler Signatures
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DOI: 10.1109/lsp.2021.3122344
Abstract: In this letter, a radar-based gait authentication method is proposed. We focus on the overfitting problem on the target category caused by limited training data in authentication models and propose a one-class classification model to… read more here.
Keywords: class classification; one class; authentication; method ... See more keywords
Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2021.3122958
Abstract: One-class classification achieves anomaly/outlier detection by exploiting the characteristics of target data. As a local similarity measure defined in kernel space, correntropy is generally more robust than the mean square error (MSE) based criterion in… read more here.
Keywords: classification; criterion; maximum mixture; one class ... See more keywords
Learning Deep Features for One-Class Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2917862
Abstract: We present a novel deep-learning-based approach for one-class transfer learning in which labeled data from an unrelated task is used for feature learning in one-class classification. The proposed method operates on top of a convolutional… read more here.
Keywords: learning deep; class classification; one class; class ... See more keywords
Acrophobia Quantified by EEG Based on CNN Incorporating Granger Causality
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DOI: 10.1142/s0129065720500690
Abstract: The aim of this study is to quantify acrophobia and provide safety advices for high-altitude workers. Considering that acrophobia is a fuzzy quantity that cannot be accurately evaluated by conventional detection methods, we propose a… read more here.
Keywords: classification task; granger causality; method; causality ... See more keywords
Deep Learning-Based Multi-Class Classification of Breast Digital Pathology Images
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DOI: 10.2147/cmar.s312608
Abstract: Introduction Breast cancer, one of the most common health threats to females worldwide, has always been a crucial topic in the medical field. With the rapid development of digital pathology, many scholars have used AI-based… read more here.
Keywords: pathology; class classification; multi class; classification ... See more keywords