Следене
Alexander Binder
Alexander Binder
Associate Professor, Singapore Institute of Technology (SIT) and University of Oslo (UiO)
Потвърден имейл адрес: singaporetech.edu.sg
Заглавие
Позовавания
Позовавания
Година
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
32322015
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International Conference on Machine Learning, 4393-4402, 2018
12392018
Explaining nonlinear classification decisions with deep taylor decomposition
G Montavon, S Lapuschkin, A Binder, W Samek, KR Müller
Pattern Recognition 65, 211-222, 2017
11512017
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
9402017
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
7432019
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
4492019
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
3662010
Deep Semi-Supervised Anomaly Detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
arXiv preprint arXiv:1906.02694, 2019
3342019
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
3072016
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
1872016
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
1522016
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
1482016
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
1262017
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
1142018
Pruning by explaining: A novel criterion for deep neural network pruning
SK Yeom, P Seegerer, S Lapuschkin, A Binder, S Wiedemann, KR Müller, ...
Pattern Recognition, 107899, 2021
1052021
Towards best practice in explaining neural network decisions with LRP
M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
962020
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
M Hägele, P Seegerer, S Lapuschkin, M Bockmayr, W Samek, ...
Scientific Reports 10 (1), 1-12, 2020
902020
DeepClue: Visual Interpretation of Text-based Deep Stock Prediction
L Shi, Z Teng, L Wang, Y Zhang, A Binder
IEEE Transactions on Knowledge and Data Engineering, 2018
652018
Morphological and molecular breast cancer profiling through explainable machine learning
A Binder, M Bockmayr, M Hägele, S Wienert, D Heim, K Hellweg, M Ishii, ...
Nature Machine Intelligence 3 (4), 355-366, 2021
632021
On taxonomies for multi-class image categorization
A Binder, KR Müller, M Kawanabe
International Journal of Computer Vision 99 (3), 281-301, 2011
582011
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