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GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search
Measurement
◽
10.1016/j.measurement.2021.110455
◽
2021
◽
pp. 110455
Author(s):
Ismael É. Koch
◽
Ivandro Klein
◽
Luiz Gonzaga
◽
Vinicius F. Rofatto
◽
Marcelo T. Matsuoka
◽
...
Keyword(s):
Isolation Forest
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User Abnormal Viewing Behavior Detection Method Based On Canopy-FCM and Improved Isolation Forest Algorithm
Journal of Physics Conference Series
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10.1088/1742-6596/1792/1/012057
◽
2021
◽
Vol 1792
(1)
◽
pp. 012057
Author(s):
Yu Wu
◽
Huiyong Liu
Keyword(s):
Detection Method
◽
Behavior Detection
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Isolation Forest
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Designing computer-assisted problem-based learning (CAPBL) environment for performance analysis of isolation forest algorithm
Journal of Physics Conference Series
◽
10.1088/1742-6596/1524/1/012103
◽
2020
◽
Vol 1524
◽
pp. 012103
Author(s):
R D Hastuti
◽
I Waspada
◽
P W Wirawan
◽
N Bahtiar
Keyword(s):
Performance Analysis
◽
Problem Based Learning
◽
Computer Assisted
◽
Isolation Forest
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Tracing outliers in the dataset of Drosophila suzukii records with the Isolation Forest method
Journal Of Big Data
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10.1186/s40537-020-00288-8
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2020
◽
Vol 7
(1)
◽
Cited By ~ 1
Author(s):
Ugo Santosuosso
◽
Alessandro Cini
◽
Alessio Papini
Keyword(s):
Drosophila Suzukii
◽
Isolation Forest
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Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward-Chaining Analysis
IEEE Access
◽
10.1109/access.2020.3041837
◽
2020
◽
Vol 8
◽
pp. 217977-217986
Author(s):
Muhamad Erza Aminanto
◽
Tao Ban
◽
Ryoichi Isawa
◽
Takeshi Takahashi
◽
Daisuke Inoue
Keyword(s):
Forward Chaining
◽
Isolation Forest
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Hardware Trojan Detection Combines with Machine Learning: an Isolation Forest-based Detection Method
2020 IEEE 14th International Conference on Big Data Science and Engineering (BigDataSE)
◽
10.1109/bigdatase50710.2020.00021
◽
2020
◽
Author(s):
Taifeng Hu
◽
Liji Wu
◽
Xiangmin Zhang
◽
Zhaopo Liao
Keyword(s):
Machine Learning
◽
Detection Method
◽
Hardware Trojan
◽
Hardware Trojan Detection
◽
Trojan Detection
◽
Isolation Forest
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Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor
IEEE Access
◽
10.1109/access.2021.3108451
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2021
◽
Vol 9
◽
pp. 132980-132989
Author(s):
Siyu Luan
◽
Zonghua Gu
◽
Leonid B. Freidovich
◽
Lili Jiang
◽
Qingling Zhao
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Local Outlier Factor
◽
Local Outlier
◽
Isolation Forest
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Anomaly Detection in Semiconductor Cleanroom Using Isolation Forest
10.1109/ictc52510.2021.9621047
◽
2021
◽
Author(s):
Israt Jahan
◽
Md. Morshed Alam
◽
Md. Faisal Ahmed
◽
Yeong Min Jang
Keyword(s):
Anomaly Detection
◽
Isolation Forest
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Fault Detection of Hydroelectric Generators using Isolation Forest
2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
◽
10.23919/sice48898.2020.9240331
◽
2020
◽
Author(s):
Yuki Hara
◽
Yoshikazu Fukuyama
◽
Kenya Murakami
◽
Tatsuya Iizaka
◽
Tetsuro Matsui
Keyword(s):
Fault Detection
◽
Isolation Forest
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n-ary Isolation Forest: An Experimental Comparative Analysis
Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science
◽
10.1007/978-3-030-61534-5_17
◽
2020
◽
pp. 188-198
Author(s):
Paweł Karczmarek
◽
Adam Kiersztyn
◽
Witold Pedrycz
Keyword(s):
Comparative Analysis
◽
Isolation Forest
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A Probabilistic Generalization of Isolation Forest
Information Sciences
◽
10.1016/j.ins.2021.10.075
◽
2021
◽
Author(s):
Mikhail Tokovarov
◽
Paweł Karczmarek
Keyword(s):
Probabilistic Generalization
◽
Isolation Forest
Download Full-text
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