Alexander Binder
Alexander Binder
Bestätigte E-Mail-Adresse bei sutd.edu.sg
Titel
Zitiert von
Zitiert von
Jahr
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
S Bach, A Binder, G Montavon, F Klauschen, KR Müller, W Samek
PLoS ONE doi: 10.1371/journal.pone.0130140, 2015
12952015
Explaining nonlinear classification decisions with deep taylor decomposition
G Montavon, S Lapuschkin, A Binder, W Samek, KR Müller
Pattern Recognition 65, 211-222, 2017
5232017
Evaluating the visualization of what a deep neural network has learned
W Samek, A Binder, G Montavon, S Lapuschkin, KR Müller
IEEE transactions on neural networks and learning systems, 2017
4352017
The SHOGUN machine learning toolbox
S Sonnenburg, G Rätsch, S Henschel, C Widmer, J Behr, A Zien, F Bona, ...
The Journal of Machine Learning Research 11, 1799-1802, 2010
3442010
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International Conference on Machine Learning, 4393-4402, 2018
2622018
Unmasking Clever Hans predictors and assessing what machines really learn
S Lapuschkin, S Wäldchen, A Binder, G Montavon, W Samek, KR Müller
Nature Communications 10 (1), 1096, 2019
2012019
Analyzing classifiers: fisher vectors and deep neural networks
S Lapuschkin, A Binder, G Montavon, KR Muller, W Samek
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1222016
Layer-wise relevance propagation for neural networks with local renormalization layers
A Binder, G Montavon, S Lapuschkin, KR Müller, W Samek
International Conference on Artificial Neural Networks, 63-71, 2016
1132016
The LRP toolbox for artificial neural networks
S Lapuschkin, A Binder, G Montavon, KR Müller, W Samek
The Journal of Machine Learning Research 17 (1), 3938-3942, 2016
822016
Layer-wise Relevance Propagation for Deep Neural Network Architectures
A Binder, S Bach, G Montavon, KR Müller, W Samek
Information Science and Applications (ICISA) 2016, 2016
632016
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
S Lapuschkin, A Binder, KR Müller, W Samek
of the IEEE Conference on Computer Vision and Pattern Recognition, 1629-1638, 2017
592017
Layer-wise relevance propagation: an overview
G Montavon, A Binder, S Lapuschkin, W Samek, KR Müller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 193-209, 2019
572019
On taxonomies for multi-class image categorization
A Binder, KR Müller, M Kawanabe
International Journal of Computer Vision 99 (3), 281-301, 2011
572011
Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
F Klauschen, KR Müller, A Binder, M Bockmayr, M Hägele, P Seegerer, ...
Seminars in cancer biology 52, 151-157, 2018
472018
Deep Semi-Supervised Anomaly Detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
arXiv preprint arXiv:1906.02694, 2019
412019
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Y Lei, U Dogan, A Binder, M Kloft
Advances in Neural Information Processing Systems 28, 2035-2043, 2015
412015
Multi-class svms: From tighter data-dependent generalization bounds to novel algorithms
Y Lei, U Dogan, A Binder, M Kloft
Advances in Neural Information Processing Systems, 2035-2043, 2015
412015
The joint submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task
A Binder, W Samek, M Kawanabe
Working Notes of CLEF, 2011
322011
Multiple kernel learning for object classification
S Nakajima, A Binder, C Müller, W Wojcikiewicz, M Kloft, U Brefeld, ...
Proceedings of the 12th Workshop on Information-based Induction Sciences, 2009
252009
Enhanced Representation and Multi-Task Learning for Image Annotation
A Binder, W Samek, KR Müller, M Kawanabe
Computer Vision and Image Understanding, 2013
232013
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