Alexander Binder

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	All	Since 2016
Citations	4842	4346
h-index	21	17
i10-index	43	33

1900

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20102011201220132014201520162017201820192020202121 47 83 92 92 79 176 287 543 1181 1879 256

Co-authors

Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Wojciech SamekHead of AI Department and Explainable AI Group, Fraunhofer HHI, GermanyVerified email at hhi.fraunhofer.de
Sebastian Lapuschkin (né Bach)Head of Explainable AI Group, Fraunhofer Heinrich Hertz InstituteVerified email at hhi.fraunhofer.de
Grégoire MontavonTechnische Universität BerlinVerified email at tu-berlin.de
Marius KloftTU KaiserslauternVerified email at cs.uni-kl.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Frederick KlauschenInstitute of Pathology, Charité Universitätsmedizin BerlinVerified email at charite.de
Nico Goernitzformer PostDoc @ Berlin Institute of Technology | now: 123ai.deVerified email at tu-berlin.de
Lukas RuffTU BerlinVerified email at tu-berlin.de
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinVerified email at tu-berlin.de
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Robert A VandermeulenTechnische Universität BerlinVerified email at tu-berlin.de
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
Penny ChongSingapore University of Technology and DesignVerified email at mymail.sutd.edu.sg
Yuval EloviciDirector of Telekom Innovation Laboratories at Ben Gurion UniversityVerified email at bgu.ac.il
Sun JiameiSingapore University of Technology and DesignVerified email at mymail.sutd.edu.sg
Yi Xiang Marcus TanSingapore University of Technology and DesignVerified email at mymail.sutd.edu.sg
Mikio L. BraunTU Berlin (allumni)Verified email at getyourguide.de
Claudia SannelliMedtronicVerified email at medtronic.com
Vojtech FrancCzech Technical UniversityVerified email at cmp.felk.cvut.cz

Alexander Binder

Associate Professor, University of Oslo (UiO)

Verified email at ifi.uio.no

Explainable Deep Learning Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1513	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	588	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	487	2017
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	347	2010
Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ... International Conference on Machine Learning, 4393-4402, 2018	324	2018
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	249	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	134	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	120	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	92	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	85	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	72	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	67	2017
Deep Semi-Supervised Anomaly Detection L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ... arXiv preprint arXiv:1906.02694, 2019	57	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	57	2018
On taxonomies for multi-class image categorization A Binder, KR Müller, M Kawanabe International Journal of Computer Vision 99 (3), 281-301, 2011	57	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	47	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
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	26	2018
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	25	2009
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	23	2020

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