Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure

12 July 2020

Papers citing "Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure"

12 / 12 papers shown

Title
Deep One-Class Classification Using Intra-Class Splitting Patrick Schlachter Yiwen Liao Bin Yang 34 25 0 04 Feb 2019
Extended Isolation Forest Li Tang Konstantinos Konstantinidis R. Brunner 100 286 0 06 Nov 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 62 1,377 0 17 May 2018
Anomaly Detection using One-Class Neural Networks Raghavendra Chalapathy A. Menon Sanjay Chawla UQCV 48 395 0 18 Feb 2018
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations Boris Hanin 53 354 0 09 Aug 2017
Temporal anomaly detection: calibrating the surprise Eyal Gutflaish A. Kontorovich Sivan Sabato Ofer Biller Oded Sofer OOD 29 15 0 29 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 136 3,848 0 10 Apr 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 66 2,219 0 17 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 142 5,920 0 04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 354 3,742 0 28 Feb 2017
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller Wojciech Samek FAtt 59 456 0 04 Apr 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 212 7,252 0 20 Dec 2013