Alexander Binder

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Klaus-Robert MüllerTU Berlin & Korea University & MPII & Google BrainAdresse e-mail validée de tu-berlin.de
Wojciech SamekHead of AI Department and Explainable AI Group, Fraunhofer HHI, GermanyAdresse e-mail validée de hhi.fraunhofer.de
Sebastian Lapuschkin (né Bach)Head of Explainable AI Group, Fraunhofer Heinrich Hertz InstituteAdresse e-mail validée de hhi.fraunhofer.de
Grégoire MontavonTechnische Universität BerlinAdresse e-mail validée de tu-berlin.de
Marius KloftTU KaiserslauternAdresse e-mail validée de cs.uni-kl.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalAdresse e-mail validée de atr.jp
Frederick KlauschenInstitute of Pathology, Charité Universitätsmedizin BerlinAdresse e-mail validée de charite.de
Nico Goernitzformer PostDoc @ Berlin Institute of Technology | now: 123ai.deAdresse e-mail validée de tu-berlin.de
Lukas RuffTU BerlinAdresse e-mail validée de tu-berlin.de
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinAdresse e-mail validée de tu-berlin.de
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundAdresse e-mail validée de cs.tu-dortmund.de
Robert A VandermeulenTechnische Universität BerlinAdresse e-mail validée de tu-berlin.de
Yuval EloviciDirector of Telekom Innovation Laboratories at Ben Gurion UniversityAdresse e-mail validée de bgu.ac.il
Ulf BrefeldLeuphana Universität LüneburgAdresse e-mail validée de leuphana.de
Penny ChongSingapore University of Technology and DesignAdresse e-mail validée de mymail.sutd.edu.sg
Yi Xiang Marcus TanSingapore University of Technology and DesignAdresse e-mail validée de mymail.sutd.edu.sg
Sun JiameiSingapore University of Technology and DesignAdresse e-mail validée de mymail.sutd.edu.sg
Michael BockmayrAdresse e-mail validée de uke.de
Mikio L. BraunTU Berlin (allumni)Adresse e-mail validée de getyourguide.de
Claudia SannelliMedtronicAdresse e-mail validée de medtronic.com

Alexander Binder

Associate Professor, University of Oslo (UiO)

Adresse e-mail validée de ifi.uio.no

Explainable Deep Learning Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1626	2015
Explaining nonlinear classification decisions with deep taylor decomposition G Montavon, S Lapuschkin, A Binder, W Samek, KR Müller Pattern Recognition 65, 211-222, 2017	631	2017
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	519	2017
Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ... International Conference on Machine Learning, 4393-4402, 2018	364	2018
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	352	2010
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	287	2019
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	146	2016
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	128	2016
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	98	2016
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	97	2019
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	75	2016
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	73	2017
Deep Semi-Supervised Anomaly Detection L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ... arXiv preprint arXiv:1906.02694, 2019	70	2019
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	64	2018
On taxonomies for multi-class image categorization A Binder, KR Müller, M Kawanabe International Journal of Computer Vision 99 (3), 281-301, 2011	58	2011
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	48	2015
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	32	2011
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	31	2020
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	27	2018
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	25	2020

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