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Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data

Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data

Mohammad Noorchenarboo
Katarina Grolinger
ArXiv (abs)PDFHTML

Papers citing "Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data"

14 / 14 papers shown
Title
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh
I. Shaer
Soodeh Nikan
F. Badrkhani Ajaei
Abdallah Shami
119
0
0
19 Mar 2025
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
Fatemeh Dehrouyeh
Li Yang
F. Badrkhani Ajaei
Abdallah Shami
104
9
0
25 Apr 2024
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
Gwladys Kelodjou
Laurence Rozé
Véronique Masson
Luis Galárraga
Romaric Gaudel
Maurice Tchuente
Alexandre Termier
FAtt
70
6
0
19 Dec 2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI
U. Schlegel
Daniel A. Keim
AAMLAI4TS
108
9
0
11 Jul 2023
Algorithms to estimate Shapley value feature attributions
Algorithms to estimate Shapley value feature attributions
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDIFAtt
106
240
0
15 Jul 2022
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
Wenjing Dai
Xiufeng Liu
A. Heller
P. S. Nielsen
69
6
0
08 Jun 2022
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
N. Spyrison
Dianne Cook
Przemyslaw Biecek
FAtt
40
1
0
11 May 2022
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Khushnaseeb Roshan
Aasim Zafar
AAML
65
54
0
14 Dec 2021
Shapley values for feature selection: The good, the bad, and the axioms
Shapley values for feature selection: The good, the bad, and the axioms
D. Fryer
Inga Strümke
Hien Nguyen
FAttTDI
114
206
0
22 Feb 2021
Towards a Rigorous Evaluation of XAI Methods on Time Series
Towards a Rigorous Evaluation of XAI Methods on Time Series
U. Schlegel
Hiba Arnout
Mennatallah El-Assady
Daniela Oelke
Daniel A. Keim
XAIAI4TS
133
174
0
16 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
681
5,985
0
25 Jul 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K. Aas
Martin Jullum
Anders Løland
FAttTDI
97
635
0
25 Mar 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.5K
22,400
0
22 May 2017
European Union regulations on algorithmic decision-making and a "right to explanation"
European Union regulations on algorithmic decision-making and a "right to explanation"
B. Goodman
Seth Flaxman
FaMLAILaw
104
1,908
0
28 Jun 2016

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