Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108451
Abstract: Deep Neural Networks (DNNs) are extensively deployed in today’s safety-critical autonomous systems thanks to their excellent performance. However, they are known to make mistakes unpredictably, e.g., a DNN may misclassify an object if it is… read more here.
Keywords: detection; deep neural; neural networks; isolation forest ... See more keywords
Isolation Forest Based on Minimal Spanning Tree
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190505
Abstract: Detecting anomalies in data sets has been one of the most studied issues in modern data analysis. Therefore, there is a plethora of applications in a very wide range of fields of science and technology.… read more here.
Keywords: forest based; based minimal; minimal spanning; isolation forest ... See more keywords
Isolation Forest Based Anomaly Detection Framework on Non-IID Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2021.3057914
Abstract: Anomaly detection is a significant but challenging data mining task in a wide range of applications. Different domains usually use different ways to measure the characteristics of data and to define the anomaly types. As… read more here.
Keywords: forest based; isolation forest; anomaly detection; isolation ... See more keywords
A Docker Container Anomaly Monitoring System Based on Optimized Isolation Forest
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2019.2935724
Abstract: Container-based virtualization has gradually become a main solution in today‘s cloud computing environments. Detecting and analyzing anomaly in containers present a major challenge for cloud vendors and users. This paper proposes an online container anomaly… read more here.
Keywords: system; based optimized; isolation forest; container anomaly ... See more keywords
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2978491
Abstract: Hyperspectral anomaly detection (HAD) has drawn a significant attention of late due to its importance in many military and civilian applications. In this article, a fast hyperspectral anomaly detector that combines multiple features and isolation… read more here.
Keywords: multiple features; anomaly detector; isolation forest; features isolation ... See more keywords
ITrust: An Anomaly-Resilient Trust Model Based on Isolation Forest for Underwater Acoustic Sensor Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2020.3028369
Abstract: Underwater acoustic sensor networks (UASNs) have been widely promoted for developing various categories of marine applications, where the sensor nodes cooperate to complete specific tasks. Given the fact that the sensor nodes are unattended while… read more here.
Keywords: trust model; isolation forest; trust; model ... See more keywords
Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3163503
Abstract: The electroencephalogram (EEG), for measuring the electrophysiological activity of the brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG-based seizure detection algorithms have already yielded high sensitivity, but training those algorithms… read more here.
Keywords: forest based; seizure; based anomaly; isolation forest ... See more keywords
A parallel algorithm for network traffic anomaly detection based on Isolation Forest
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/1550147718814471
Abstract: With the rapid development of large-scale complex networks and proliferation of various social network applications, the amount of network traffic data generated is increasing tremendously, and efficient anomaly detection on those massive network traffic data… read more here.
Keywords: detection; network; anomaly detection; isolation forest ... See more keywords
Tracing outliers in the dataset of Drosophila suzukii records with the Isolation Forest method
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Big Data"
DOI: 10.1186/s40537-020-00288-8
Abstract: The analysis of big data is a fundamental challenge for the current and future stream of data coming from many different sources. Geospatial data is one of the sources currently less investigated. A typical example… read more here.
Keywords: invasion; forest method; dataset drosophila; method ... See more keywords
Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.36227/techrxiv.14428880.v3
Abstract: Anomaly detection in hyperspectral image is affected by redundant bands and the limited utilization capacity of spectral-spatial information. In this article, we propose a novel Improved Isolation Forest (IIF) algorithm based on the assumption that… read more here.
Keywords: spatial anomaly; spectral spatial; anomaly detection; isolation forest ... See more keywords
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.48550/arxiv.2210.02558
Abstract: A new modification of the isolation forest called the attention-based isolation forest (ABIForest) is proposed for solving the anomaly detection problem. It incorporates an attention mechanism in the form of Nadaraya–Watson regression into the isolation… read more here.
Keywords: attention; isolation forest; attention based; anomaly detection ... See more keywords