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Towards the Visualization of Aggregated Class Activation Maps to Analyse
  the Global Contribution of Class Features

Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features

29 July 2023
Igor Cherepanov
D. Sessler
Alex Ulmer
Hendrik Lücke-Tieke
Jörn Kohlhammer
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features"

12 / 12 papers shown
Title
The State of the Art in Enhancing Trust in Machine Learning Models with
  the Use of Visualizations
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
88
162
0
22 Dec 2022
Visualization Of Class Activation Maps To Explain AI Classification Of
  Network Packet Captures
Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures
Igor Cherepanov
Alex Ulmer
Jonathan Geraldi Joewono
Jörn Kohlhammer
FAtt
51
5
0
05 Sep 2022
VisEvol: Visual Analytics to Support Hyperparameter Search through
  Evolutionary Optimization
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
Angelos Chatzimparmpas
Rafael M. Martins
Kostiantyn Kucher
Andreas Kerren
59
21
0
02 Dec 2020
A Survey on the Explainability of Supervised Machine Learning
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart
Marco F. Huber
FaMLXAI
63
778
0
16 Nov 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
169
604
0
16 Jun 2020
explAIner: A Visual Analytics Framework for Interactive and Explainable
  Machine Learning
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
Thilo Spinner
U. Schlegel
H. Schäfer
Mennatallah El-Assady
HAI
76
239
0
29 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
122
1,455
0
17 Jul 2019
On the Robustness of Interpretability Methods
On the Robustness of Interpretability Methods
David Alvarez-Melis
Tommi Jaakkola
100
528
0
21 Jun 2018
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using
  Deep Learning
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning
M. Lotfollahi
Ramin Shirali Hossein Zade
Mahdi Jafari Siavoshani
Mohammdsadegh Saberian
49
833
0
08 Sep 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,071
0
16 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,342
0
14 Dec 2015
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