Alexander Binder

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail verificata su tu-berlin.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowEmail verificata su tu-berlin.de
Sebastian LapuschkinHead of Explainable AI, Fraunhofer Heinrich Hertz InstituteEmail verificata su hhi.fraunhofer.de
Grégoire MontavonGuest professor, Freie Universität BerlinEmail verificata su fu-berlin.de
Marius KloftProfessor, RPTU Kaiserslautern-LandauEmail verificata su cs.uni-kl.de
Frederick KlauschenInstitute of Pathology, University of Munich (LMU)Email verificata su lmu.de
Nico GoernitzCTO @ MorphAIs | former PostDoc @ TU-BerlinEmail verificata su tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalEmail verificata su atr.jp
Lukas RuffAignosticsEmail verificata su aignostics.com
Yuval EloviciHead of Cyber@BGU, Director of Telekom Innovation Laboratories at BGU, Ben Gurion UniversityEmail verificata su bgu.ac.il
Sun JiameiSingapore University of Technology and DesignEmail verificata su mymail.sutd.edu.sg
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundEmail verificata su cs.tu-dortmund.de
Robert A. VandermeulenIndependent ResearcherEmail verificata su umich.edu
Penny ChongIBM Research, SingaporeEmail verificata su ibm.com
Shinichi NakajimaBIFOLD, Technische Universität BerlinEmail verificata su tu-berlin.de
Yi Xiang Marcus TanSingapore University of Technology and DesignEmail verificata su mymail.sutd.edu.sg
Shoaib Ahmed SiddiquiUniversity of CambridgeEmail verificata su cam.ac.uk
Lucas DeeckeUniversity of EdinburghEmail verificata su ed.ac.uk
Michael BockmayrEmail verificata su uke.de
Ngai-Man CheungAssociate Professor, Singapore University of Technology and DesignEmail verificata su sutd.edu.sg

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Alexander Binder

Chair Computer Vision, OvGU, Magdeburg, Germany

Email verificata su ovgu.de

Explainable Deep Learning XAI Aspects of Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	5178	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	2546	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	1692	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	1438	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	1240	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	930	2019
Deep Semi-Supervised Anomaly Detection L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ... arXiv preprint arXiv:1906.02694, 2019	731	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	566	2016
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	414	2010
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	254	2021
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	253	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	206	2016
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	187	2020
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	181	2017
The LRP toolbox for artificial neural networks S Lapuschkin, A Binder, G Montavon, KR Müller, W Samek Journal of Machine Learning Research 17 (114), 1-5, 2016	180	2016
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	171	2018
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	168	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	146	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	119	2018
Explanation-guided training for cross-domain few-shot classification J Sun, S Lapuschkin, W Samek, Y Zhao, NM Cheung, A Binder 2020 25th International Conference on Pattern Recognition (ICPR), 7609-7616, 2021	109	2021

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