Deep Learning for Anomaly Detection: A Survey

10 January 2019

Papers citing "Deep Learning for Anomaly Detection: A Survey"

9 / 59 papers shown

Title
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 6 62 0 12 Mar 2020
Anomaly Detection in Beehives using Deep Recurrent Autoencoders Padraig Davidson M. Steininger Florian Lautenschlager Konstantin Kobs Anna Krause Andreas Hotho 6 20 0 10 Mar 2020
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks P. Maciag Marzena Kryszkiewicz R. Bembenik J. Lobo Javier Del Ser AI4TS 6 55 0 18 Dec 2019
Deep learning at the shallow end: Malware classification for non-domain experts Quan Le Oisín Boydell Brian Mac Namee Mark Scanlon 55 170 0 22 Jul 2018
Are generative deep models for novelty detection truly better? V. Škvára Tomás Pevný Václav Smídl 21 38 0 13 Jul 2018
RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning S. M. Sohi Jean-Pierre Seifert F. Ganji AAML 17 7 0 09 Jul 2018
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 150 226 0 27 Feb 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 275 10,544 0 19 Feb 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 238 13,283 0 25 Aug 2014