Alexander Binder

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Citations	12127	11160
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i10-index	62	46

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Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
Sebastian LapuschkinHead of Explainable AI, Fraunhofer Heinrich Hertz InstituteVerified email at hhi.fraunhofer.de
Grégoire MontavonFreie Universität BerlinVerified email at fu-berlin.de
Marius KloftTU KaiserslauternVerified email at cs.uni-kl.de
Frederick KlauschenInstitute of Pathology, University of Munich (LMU)Verified email at lmu.de
Nico GoernitzCTO @ MorphAIs | former PostDoc @ TU-BerlinVerified email at tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Lukas RuffAignosticsVerified email at aignostics.com
Yuval EloviciHead of Cyber@BGU, Director of Telekom Innovation Laboratories at BGU, Ben Gurion UniversityVerified email at bgu.ac.il
Sun JiameiSingapore University of Technology and DesignVerified email at mymail.sutd.edu.sg
Penny ChongIBM Research, SingaporeVerified email at ibm.com
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Robert A. VandermeulenTechnische Universität Berlin & BIFOLDVerified email at tu-berlin.de
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinVerified email at tu-berlin.de
Yi Xiang Marcus TanSingapore University of Technology and DesignVerified email at mymail.sutd.edu.sg
Shoaib Ahmed SiddiquiUniversity of CambridgeVerified email at cam.ac.uk
Lucas DeeckeUniversity of EdinburghVerified email at ed.ac.uk
Michael BockmayrVerified email at uke.de
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de

Alexander Binder

Associate Professor, Singapore Institute of Technology (SIT) and University of Oslo (UiO)

Verified email at singaporetech.edu.sg

Explainable Deep Learning XAI Aspects of Machine Learning


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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	3536	2015
Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ... International Conference on Machine Learning, 4393-4402, 2018	1462	2018
Explaining nonlinear classification decisions with deep taylor decomposition G Montavon, S Lapuschkin, A Binder, W Samek, KR Müller Pattern Recognition 65, 211-222, 2017	1254	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	1050	2017
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	842	2019
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	525	2019
Deep Semi-Supervised Anomaly Detection L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ... arXiv preprint arXiv:1906.02694, 2019	395	2019
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	371	2010
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	339	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	205	2016
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	165	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	154	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	140	2017
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	128	2021
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	124	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	112	2020
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	104	2020
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	74	2021
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	74	2018
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study P Chong, Y Elovici, A Binder IEEE Transactions on Information Forensics and Security 15, 1086-1101, 2019	58	2019

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