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2501.06099
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Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data
10 January 2025
Mohammad Noorchenarboo
Katarina Grolinger
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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
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
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
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
U. Schlegel
Daniel A. Keim
AAML
AI4TS
108
9
0
11 Jul 2023
Algorithms to estimate Shapley value feature attributions
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDI
FAtt
106
240
0
15 Jul 2022
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
N. Spyrison
Dianne Cook
Przemyslaw Biecek
FAtt
49
1
0
11 May 2022
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
D. Fryer
Inga Strümke
Hien Nguyen
FAtt
TDI
114
206
0
22 Feb 2021
Towards a Rigorous Evaluation of XAI Methods on Time Series
U. Schlegel
Hiba Arnout
Mennatallah El-Assady
Daniela Oelke
Daniel A. Keim
XAI
AI4TS
133
174
0
16 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
683
5,985
0
25 Jul 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K. Aas
Martin Jullum
Anders Løland
FAtt
TDI
97
635
0
25 Mar 2019
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"
B. Goodman
Seth Flaxman
FaML
AILaw
109
1,908
0
28 Jun 2016
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