Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation

15 May 2023

Papers citing "Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation"

8 / 8 papers shown

Title
Data augmentation on-the-fly and active learning in data stream classification Kleanthis Malialis Dimitris Papatheodoulou S. Filippou C. Panayiotou Marios M. Polycarpou 29 8 0 13 Oct 2022
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification Kleanthis Malialis M. Roveri Cesare Alippi C. Panayiotou Marios M. Polycarpou AI4TS 37 9 0 10 Oct 2022
Nonstationary data stream classification with online active learning and siamese neural networks Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 38 31 0 03 Oct 2022
Data-efficient Online Classification with Siamese Networks and Active Learning Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 11 14 0 04 Oct 2020
Online Learning With Adaptive Rebalancing in Nonstationary Environments Kleanthis Malialis C. Panayiotou Marios M. Polycarpou 16 38 0 24 Sep 2020
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 110 1,486 0 10 Jan 2019
Queue-based Resampling for Online Class Imbalance Learning Kleanthis Malialis C. Panayiotou Marios M. Polycarpou OnRL 26 12 0 27 Sep 2018
A Systematic Study of Online Class Imbalance Learning with Concept Drift Shuo Wang Leandro L. Minku Xin Yao 19 257 0 20 Mar 2017