Alexander Binder - Concepedia

Author

Alexander Binder

Singapore University of Technology and Design ORCID

Also Known As

A. Binder, Alexander Binder, Alexander Binder (142251), Benno Kohlmaier, Binder, Alexander, Kyle Billing, Martin Antonio, Sun, Jiamei, Weckbecker, Moritz

135

Publications

11.4K

Citations

H-Index

Concepts

All Affiliations

Singapore University of Technology and Design Technische Universität Berlin Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute Korea University Fraunhofer Institute for Production Systems and Design Technology

About

Alexander Binder is an author at Singapore University of Technology and Design specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	26	6.5K
2	Medicine	3	3	208
3	Social Sciences	2	2	50
4	Business	1	1	16
5	Health Sciences	1	1	19

Alexander Binder

Publications

9.5K

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
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
Deep One-Class Classification Lukas Ruff, Robert A. Vandermeulen, Nico Goernitz, International Conference on Machine Learning EngineeringMachine LearningData SciencePattern RecognitionDeep One-class Classification	2018	873
Pruning by explaining: A novel criterion for deep neural network pruning Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Pattern Recognition	2021	239
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Convolutional Neural NetworkEngineeringMachine LearningClassification MethodImage Classification	2016	207
Morphological and molecular breast cancer profiling through explainable machine learning Alexander Binder, Michael Bockmayr, Miriam Hägele, Nature Machine Intelligence Systems BiologyEngineeringMachine LearningBreast OncologyPattern Recognition	2021	147
Genomic investigations of unexplained acute hepatitis in children Sofia Morfopoulou, Sarah Buddle, Oscar Enrique Torres Montaguth, Nature	2023	124
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction Lei Shi, Zhiyang Teng, Le Wang, IEEE Transactions on Knowledge and Data Engineering Natural Language ProcessingStructured PredictionEngineeringMachine LearningData Science	2018	121
Understanding and Comparing Deep Neural Networks for Age and Gender Classification Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2017	98

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