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Interpreting the Predictions of Complex ML Models by Layer-wise
  Relevance Propagation

Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation

24 November 2016
Wojciech Samek
G. Montavon
Alexander Binder
Sebastian Lapuschkin
K. Müller
    FAttAI4CE
ArXiv (abs)PDFHTML

Papers citing "Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation"

19 / 19 papers shown
Learning phases with Quantum Monte Carlo simulation cell
Learning phases with Quantum Monte Carlo simulation cell
Amrita Ghosh
Mugdha Sarkar
Ying-Jer Kao
Pochung Chen
99
1
0
29 Mar 2025
FedSub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning
FedSub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning
M. Campana
Franca Delmastro
246
0
0
13 Nov 2024
Investigating the fidelity of explainable artificial intelligence
  methods for applications of convolutional neural networks in geoscience
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscienceArtificial Intelligence for the Earth Systems (AI4ES), 2022
Antonios Mamalakis
E. Barnes
I. Ebert‐Uphoff
243
90
0
07 Feb 2022
Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research DirectionsIEEE Access (IEEE Access), 2021
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
648
207
0
21 Dec 2021
Interpretable Feature Learning Framework for Smoking Behavior Detection
Interpretable Feature Learning Framework for Smoking Behavior Detection
Nakayiza Hellen
Ggaliwango Marvin
106
1
0
12 Dec 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use
  case applications
A Practical guide on Explainable AI Techniques applied on Biomedical use case applicationsSocial Science Research Network (SSRN), 2021
Adrien Bennetot
Ivan Donadello
Ayoub El Qadi
M. Dragoni
Thomas Frossard
...
M. Trocan
Raja Chatila
Andreas Holzinger
Artur Garcez
Natalia Díaz Rodríguez
XAI
189
12
0
13 Nov 2021
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's
  Activation via Adjoint Operators
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators
Qing Wan
Siu Wun Cheung
Yoonsuck Choe
202
0
0
04 Oct 2021
Knowledge-intensive Language Understanding for Explainable AI
Knowledge-intensive Language Understanding for Explainable AI
A. Sheth
Manas Gaur
Kaushik Roy
Keyur Faldu
148
51
0
02 Aug 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel
  Synthetic Benchmark Dataset
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark DatasetEnvironmental Data Science (EDS), 2021
Antonios Mamalakis
I. Ebert‐Uphoff
E. Barnes
OOD
378
87
0
18 Mar 2021
Explanations in Autonomous Driving: A Survey
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
491
286
0
09 Mar 2021
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
Vulnerabilities of Connectionist AI Applications: Evaluation and DefenceFrontiers in Big Data (Front. Big Data), 2020
Christian Berghoff
Matthias Neu
Arndt von Twickel
AAML
241
26
0
18 Mar 2020
Relevant-features based Auxiliary Cells for Energy Efficient Detection
  of Natural Errors
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
Sai Aparna Aketi
Priyadarshini Panda
Kaushik Roy
121
1
0
25 Feb 2020
Gradual Channel Pruning while Training using Feature Relevance Scores
  for Convolutional Neural Networks
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural NetworksIEEE Access (IEEE Access), 2020
Sai Aparna Aketi
Sourjya Roy
A. Raghunathan
Kaushik Roy
201
28
0
23 Feb 2020
Enhancing the Extraction of Interpretable Information for Ischemic
  Stroke Imaging from Deep Neural Networks
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
Erico Tjoa
Heng Guo
Yuhao Lu
Cuntai Guan
FAtt
143
5
0
19 Nov 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Erico Tjoa
Cuntai Guan
XAI
661
1,793
0
17 Jul 2019
Learning and Interpreting Multi-Multi-Instance Learning Networks
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo
M. Jaeger
P. Frasconi
AI4CE
367
24
0
26 Oct 2018
Contrastive Explanations for Reinforcement Learning in terms of Expected
  Consequences
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
J. V. D. Waa
J. Diggelen
K. Bosch
Mark Antonius Neerincx
OffRL
164
114
0
23 Jul 2018
Towards computational fluorescence microscopy: Machine learning-based
  integrated prediction of morphological and molecular tumor profiles
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles
Alexander Binder
M. Bockmayr
Miriam Hagele
S. Wienert
Daniel Heim
...
M. Dietel
A. Hocke
C. Denkert
K. Müller
Frederick Klauschen
AI4CE
147
28
0
28 May 2018
Fibres of Failure: Classifying errors in predictive processes
Fibres of Failure: Classifying errors in predictive processes
L. Carlsson
Gunnar Carlsson
Mikael Vejdemo-Johansson
AI4CE
238
4
0
09 Feb 2018
1
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