Wojciech Samek - Concepedia

Author

Wojciech Samek

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute ORCID

Also Known As

D Becking, NIPS 2017 Long Beach, Calif., Nguyen, An, Opper, Manfred, Samek Wojciech, Samek, Wojciech, W Samek, W. Samek, Weckbecker, Moritz, Wiegand, Thomas

357

Publications

24.5K

Citations

H-Index

178

Concepts

All Affiliations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute Technische Universität Berlin Korea University Berlin Institute for the Foundations of Learning and Data Fraunhofer Institute for Production Systems and Design Technology

About

Wojciech Samek is an author at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	60	9.5K
2	Health Sciences	4	4	233
3	Education	2	2	130
4	Language Studies	2	2	329
5	Arts	1	1	32

Wojciech Samek

117

Publications

17.6K

Citations

H-Index

Page 1

	Year	Citations
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation Sebastian Bach, Alexander Binder, Grégoire Montavon, PLoS ONE Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningClassification Decision	2015	4.4K
Methods for interpreting and understanding deep neural networks Grégoire Montavon, Wojciech Samek, Klaus‐Robert Müller Digital Signal Processing	2017	2.6K
Explaining nonlinear classification decisions with deep Taylor decomposition Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Pattern Recognition	2016	1.4K
Evaluating the Visualization of What a Deep Neural Network Has Learned Wojciech Samek, Alexander Binder, Grégoire Montavon, IEEE Transactions on Neural Networks and Learning Systems	2016	1.1K
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek, Thomas Wiegand, Klaus‐Robert Müller arXiv (Cornell University) Artificial IntelligenceDeep Neural NetworksEngineeringMachine LearningData Science	2017	1K
PTB-XL, a large publicly available electrocardiography dataset Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Scientific Data EngineeringMachine LearningMachine Learning ToolDiagnosisDisease Classification	2020	1K
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions Luca Longo, Mario Brčić, Federico Cabitza, Information Fusion	2024	372
"What is relevant in a text document?": An interpretable machine learning approach Leila Arras, Franziska Horn, Grégoire Montavon, PLoS ONE EngineeringMachine LearningCorpus LinguisticsText MiningWord Embeddings	2017	265
Pruning by explaining: A novel criterion for deep neural network pruning Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Pattern Recognition	2021	239
A deep neural network for image quality assessment Sebastian Bosse, Dominique Maniry, Thomas Wiegand, Convolutional Neural NetworkEngineeringMachine LearningImage ForensicsLinear Pearson Correlation	2016	224

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