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• W2937657835 abstract "Novelty detection is a process for distinguishing the observations that differ in some respect from the observations that the model is trained on. Novelty detection is one of the fundamental requirements of a good classification or identification system since sometimes the test data contains observations that were not known at the training time. In other words, the novelty class is often is not presented during the training phase or not well defined. In light of the above, one-class classifiers and generative methods can efficiently model such problems. However, due to the unavailability of data from the novelty class, training an end-to-end model is a challenging task itself. Therefore, detecting the Novel classes in unsupervised and semi-supervised settings is a crucial step in such tasks. In this thesis, we propose several methods to model the novelty detection problem in unsupervised and semi-supervised fashion. The proposed frameworks applied to different related applications of anomaly and outlier detection tasks. The results show the superior of our proposed methods in compare to the baselines and state-of-the-art methods." @default.
• W2937657835 created "2019-04-25" @default.
• W2937657835 creator A5088068842 @default.
• W2937657835 date "2019-02-25" @default.
• W2937657835 modified "2023-09-27" @default.
• W2937657835 title "Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series." @default.
• W2937657835 cites W1457482454 @default.
• W2937657835 cites W1538585633 @default.
• W2937657835 cites W1559334516 @default.
• W2937657835 cites W1867429401 @default.
• W2937657835 cites W1880262756 @default.
• W2937657835 cites W1901129140 @default.
• W2937657835 cites W1903029394 @default.
• W2937657835 cites W1908985308 @default.
• W2937657835 cites W1944244492 @default.
• W2937657835 cites W1945475446 @default.
• W2937657835 cites W1951226114 @default.
• W2937657835 cites W1952703253 @default.
• W2937657835 cites W1964806982 @default.
• W2937657835 cites W1967456674 @default.
• W2937657835 cites W1967687583 @default.
• W2937657835 cites W1969622215 @default.
• W2937657835 cites W1969914528 @default.
• W2937657835 cites W1974647172 @default.
• W2937657835 cites W1975234625 @default.
• W2937657835 cites W1987463078 @default.
• W2937657835 cites W1999499433 @default.
• W2937657835 cites W2007885794 @default.
• W2937657835 cites W2011128100 @default.
• W2937657835 cites W2012036715 @default.
• W2937657835 cites W2012931101 @default.
• W2937657835 cites W2015543695 @default.
• W2937657835 cites W2017249118 @default.
• W2937657835 cites W2017942098 @default.
• W2937657835 cites W2026418062 @default.
• W2937657835 cites W2039916081 @default.
• W2937657835 cites W2039940426 @default.
• W2937657835 cites W2040395913 @default.
• W2937657835 cites W2041390734 @default.
• W2937657835 cites W2042012041 @default.
• W2937657835 cites W2047499569 @default.
• W2937657835 cites W2058429997 @default.
• W2937657835 cites W2062118960 @default.
• W2937657835 cites W2097363716 @default.
• W2937657835 cites W2099471712 @default.
• W2937657835 cites W2108404684 @default.
• W2937657835 cites W2108598243 @default.
• W2937657835 cites W2109761267 @default.
• W2937657835 cites W2110934250 @default.
• W2937657835 cites W2112657736 @default.
• W2937657835 cites W2112680570 @default.
• W2937657835 cites W2114925581 @default.
• W2937657835 cites W2117539524 @default.
• W2937657835 cites W2118877769 @default.
• W2937657835 cites W2122849304 @default.
• W2937657835 cites W2125095437 @default.
• W2937657835 cites W2126574503 @default.
• W2937657835 cites W2128862897 @default.
• W2937657835 cites W2130103520 @default.
• W2937657835 cites W2133235827 @default.
• W2937657835 cites W2134670479 @default.
• W2937657835 cites W2135347708 @default.
• W2937657835 cites W2136696289 @default.
• W2937657835 cites W2137345842 @default.
• W2937657835 cites W2138092272 @default.
• W2937657835 cites W2140137670 @default.
• W2937657835 cites W2142194269 @default.
• W2937657835 cites W2145641445 @default.
• W2937657835 cites W2148464528 @default.
• W2937657835 cites W2149021215 @default.
• W2937657835 cites W2151103935 @default.
• W2937657835 cites W2153635508 @default.
• W2937657835 cites W2154946129 @default.
• W2937657835 cites W2155541015 @default.
• W2937657835 cites W2156303437 @default.
• W2937657835 cites W2161969291 @default.
• W2937657835 cites W2163605009 @default.
• W2937657835 cites W2163612318 @default.
• W2937657835 cites W2164047143 @default.
• W2937657835 cites W2164223054 @default.
• W2937657835 cites W2164261375 @default.
• W2937657835 cites W2164489414 @default.
• W2937657835 cites W2166007582 @default.
• W2937657835 cites W2167052694 @default.
• W2937657835 cites W2173520492 @default.
• W2937657835 cites W2214409633 @default.
• W2937657835 cites W2256811964 @default.
• W2937657835 cites W2260293203 @default.
• W2937657835 cites W2286655808 @default.
• W2937657835 cites W2293003696 @default.
• W2937657835 cites W2294349021 @default.
• W2937657835 cites W2296653287 @default.
• W2937657835 cites W2296663812 @default.
• W2937657835 cites W2299778380 @default.
• W2937657835 cites W2300242332 @default.
• W2937657835 cites W2326211297 @default.
• W2937657835 cites W2337453828 @default.
• W2937657835 cites W2339754110 @default.
• W2937657835 cites W2340092166 @default.
• W2937657835 cites W2341058432 @default.

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