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2007.11117
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Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance
21 July 2020
Mattia Carletti
M. Terzi
Gian Antonio Susto
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Papers citing
"Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance"
11 / 11 papers shown
Title
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
Matteo Ceschin
Leonardo Arrighi
Luca Longo
Sylvio Barbon Junior
19
0
0
06 May 2025
DTOR: Decision Tree Outlier Regressor to explain anomalies
Riccardo Crupi
D. Regoli
Alessandro Sabatino
Immacolata Marano
Massimiliano Brinis
Luca Albertazzi
Andrea Cirillo
A. Cosentini
21
1
0
16 Mar 2024
AcME-AD: Accelerated Model Explanations for Anomaly Detection
Valentina Zaccaria
David Dandolo
Chiara Masiero
Gian Antonio Susto
35
2
0
02 Mar 2024
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins
Alexander Sommers
Somayeh Bakhtiari Ramezani
Sudip Mittal
Joseph E. Jabour
Maria Seale
Shahram Rahimi
32
21
0
15 Jan 2024
Anomaly component analysis
Romain Valla
Pavlo Mozharovskyi
Florence dÁlché-Buc
19
0
0
26 Dec 2023
Transparent Anomaly Detection via Concept-based Explanations
Laya Rafiee Sevyeri
Ivaxi Sheth
Farhood Farahnak
Samira Ebrahimi Kahou
S. Enger
19
4
0
16 Oct 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity
Gaith Rjoub
Jamal Bentahar
Omar Abdel Wahab
R. Mizouni
Alyssa Song
Robin Cohen
Hadi Otrok
Azzam Mourad
13
27
0
07 Mar 2023
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box
David Dandolo
Chiara Masiero
Mattia Carletti
Davide Dalle Pezze
Gian Antonio Susto
FAtt
LRM
24
22
0
23 Dec 2021
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection
Nirmal Sobha Kartha
Clément Gautrais
Vincent Vercruyssen
11
6
0
13 Dec 2021
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
L. Brito
Gian Antonio Susto
J. N. Brito
M. Duarte
26
180
0
23 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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