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On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy


Jun 25, 2021
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek


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Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity


Dec 09, 2020
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder


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Deja vu from the SVM Era: Example-based Explanations with Outlier Detection


Nov 11, 2020
Penny Chong, Yuval Elovici, Alexander Binder


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Lymphocyte counting -- Error Analysis of Regression versus Bounding Box Detection Approaches


Jul 21, 2020
Lin Geng Foo, Alexander Binder

* Submitted to ICPR 2020 

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Explanation-Guided Training for Cross-Domain Few-Shot Classification


Jul 17, 2020
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder


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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution


Apr 22, 2020
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder

* 8 pages, 3 figures 

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SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information


Mar 15, 2020
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder


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Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification


Jan 28, 2020
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder


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Understanding Image Captioning Models beyond Visualizing Attention


Jan 22, 2020
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder


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Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks


Jan 07, 2020
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder


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Towards best practice in explaining neural network decisions with LRP


Oct 22, 2019
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

* 5 pages, 3 figures, 1 table 

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Resolving challenges in deep learning-based analyses of histopathological images using explanation methods


Aug 15, 2019
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder


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Deep Semi-Supervised Anomaly Detection


Jun 06, 2019
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft

* 22 pages, Under review 

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Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics


May 28, 2019
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder

* Accepted in 2019 International Joint Conference on Neural Networks (IJCNN) 

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Unmasking Clever Hans Predictors and Assessing What Machines Really Learn


Feb 26, 2019
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller

* Accepted for publication in Nature Communications 

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Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles


May 28, 2018
Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen


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Understanding and Comparing Deep Neural Networks for Age and Gender Classification


Aug 25, 2017
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller, Wojciech Samek

* 8 pages, 5 figures, 5 tables. Presented at ICCV 2017 Workshop: 7th IEEE International Workshop on Analysis and Modeling of Faces and Gestures 

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Object Boundary Detection and Classification with Image-level Labels


Jun 25, 2017
Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder

* 12 pages, 2 figures, accepted for GCPR 2017 - 39th German Conference on Pattern Recognition 

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


Nov 24, 2016
Wojciech Samek, Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Localized Multiple Kernel Learning---A Convex Approach


Oct 13, 2016
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft

* to appear in ACML 2016 

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Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers


Apr 04, 2016
Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller, Wojciech Samek


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Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth


Apr 04, 2016
Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek

* 5 pages, 1 table, 1 figure with 40 embedded images 

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Explaining NonLinear Classification Decisions with Deep Taylor Decomposition


Dec 08, 2015
Grégoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, Klaus-Robert Müller

* 20 pages, 15 figures 

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Analyzing Classifiers: Fisher Vectors and Deep Neural Networks


Dec 01, 2015
Sebastian Bach, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

* 17 pages (10 main document + references , 7 appendix) 1 Table 7 Figures 1 Algorithm submitted to CVPR on 06/11/2025 

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Evaluating the visualization of what a Deep Neural Network has learned


Sep 21, 2015
Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller

* 13 pages, 8 Figures 

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Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms


Jun 14, 2015
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft


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