Michael Hanselmann 个人学术档案

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引用	1003	555
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Fred A. HamprechtProfessor, Heidelberg University在 iwr.uni-heidelberg.de 的电子邮件经过验证
Bernhard RenardHasso Plattner Institute在 hpi.de 的电子邮件经过验证
Ron M.A. HeerenMaastricht University, FOM-AMOLF在 maastrichtuniversity.nl 的电子邮件经过验证
Marc KirchnerApple, Inc.在 apple.com 的电子邮件经过验证
Ullrich KötheAdjunct Professor of Computer Science, University of Heidelberg在 iwr.uni-heidelberg.de 的电子邮件经过验证
Heiner MarkertETAS GmbH在 de.bosch.com 的电子邮件经过验证
Kristine GlundeThe Johns Hopkins University School of Medicine在 mri.jhu.edu 的电子邮件经过验证
Robert DuerichenArcturis Data, UK在 arcturisdata.com 的电子邮件经过验证
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, Germany在 kit.edu 的电子邮件经过验证
Attila ReissBosch Center for Artificial Intelligence在 de.bosch.com 的电子邮件经过验证
Christoph SommerIST Austria在 ist.ac.at 的电子邮件经过验证
Katharina Anna Zweig, Katharina Ann...Computer Science, TU Kaiserslautern在 cs.uni-kl.de 的电子邮件经过验证
Emőke-Ágnes HorvátAssociate Professor, Northwestern University在 northwestern.edu 的电子邮件经过验证
Apratim BhattacharyyaQualcomm AI Research在 qti.qualcomm.com 的电子邮件经过验证
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland University在 cispa.de 的电子邮件经过验证
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics Campus在 mpi-inf.mpg.de 的电子邮件经过验证
Christoph-Nikolas StraehleResearch Scientist, Bosch Center for Artificial Intelligence在 de.bosch.com 的电子邮件经过验证
Andre GuntoroResearch Scientist在 de.bosch.com 的电子邮件经过验证
Marc ToussaintProfessor of Computer Science, TU Berlin, Germany在 tu-berlin.de 的电子邮件经过验证
Duy Nguyen-TuongBosch Center for AI, Germany在 robot-learning.de 的电子邮件经过验证

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Michael Hanselmann

Technology Owner & Senior Manager (AI, Automated Driving), Robert Bosch GmbH

在 de.bosch.com 的电子邮件经过验证 - 首页

Machine Learning Artificial Intelligence Automated Driving


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
CNN-based sensor fusion techniques for multimodal human activity recognition S Münzner, P Schmidt, A Reiss, M Hanselmann, R Stiefelhagen, ... ISWC '17 Proceedings of the 2017 ACM International Symposium on Wearable …, 2017	239	2017
Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy M Pfannmoller, H Flugge, G Benner, I Wacker, C Sommer, M Hanselmann, ... Nano letters 11 (8), 3099-3107, 2011	214	2011
Concise representation of mass spectrometry images by probabilistic latent semantic analysis M Hanselmann, M Kirchner, BY Renard, ER Amstalden, K Glunde, ... Analytical chemistry 80 (24), 9649-9658, 2008	137	2008
Toward digital staining using imaging mass spectrometry and random forests M Hanselmann, U Kothe, M Kirchner, BY Renard, ER Amstalden, ... Journal of proteome research 8 (7), 3558-3567, 2009	109	2009
Conditional flow variational autoencoders for structured sequence prediction A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle NeurIPS Workshop on Machine Learning for Autonomous Driving, arXiv preprint …, 2019	90	2019
One plus one makes three (for social networks) EÁ Horvát, M Hanselmann, FA Hamprecht, KA Zweig PloS one 7 (4), e34740, 2012	60	2012
SIMA: simultaneous multiple alignment of LC/MS peak lists M Hanselmann, B Voss, BY Renard, MS Lindner, U Köthe, M Kirchner, ... Bioinformatics 27 (7), 987-993, 2011	49*	2011
Mass spectrometry imaging for the investigation of intratumor heterogeneity B Balluff, M Hanselmann, RMA Heeren Advances in cancer research 134, 201-230, 2017	32	2017
Method and apparatus for supplying interpolation point data for a data-based function model calculation unit H Markert, J Schreiter, M Hanselmann US Patent 9,805,313, 2017	21	2017
Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images M Hanselmann, J Röder, U Köthe, BY Renard, RMA Heeren, ... Analytical Chemistry 85 (1), 147-155, 2013	10	2013
A Tableaux-based Mobile DL Reasoner-An Experience Report. F Müller, M Hanselmann, T Liebig, O Noppens Description Logics, 2006	7	2006
Data-based Models on the ECU R Diener, M Hanselmann, T Lang, H Markert, H Ulmer Design of experiments (DoE) in powertrain development, 2015	5	2015
Fast greedy insertion and deletion in sparse Gaussian process regression. J Schreiter, D Nguyen-Tuong, H Markert, M Hanselmann, M Toussaint ESANN, 2015	5	2015
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. arXiv 2020 A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle arXiv preprint arXiv:1908.09008 3, 1908	5	1908
Method for operating a control unit and a control unit having a model calculation unit H Markert, W Fischer, N Bannow, A Guntoro, M Hanselmann US Patent 9,785,410, 2017	4	2017
Multivariate watershed segmentation of compositional data M Hanselmann, U Köthe, BY Renard, M Kirchner, RMA Heeren, ... Discrete Geometry for Computer Imagery: 15th IAPR International Conference …, 2009	4	2009
Model calculation unit, control unit and method for calibrating a data-based function model T Lang, H Markert, A Aue, W Fischer, U Schulmeister, N Bannow, ... US Patent 10,146,248, 2018	3	2018
You are who knows you: Predicting links between non-members of Facebook EÁ Horvát, M Hanselmann, FA Hamprecht, KA Zweig, M Kolleg European Conference on Complex Systems, 2012	3	2012
Method and device for creating a nonparametric, data-based function model H Markert, M Hanselmann US Patent App. 14/247,520, 2014	2	2014
Large Scale Transient Data-based Models for the Simulation of Vehicle Power Demand J Schreiter, H Markert, M Hanselmann, D Nguyen-Tuong, C Bohne Design of experiments (DoE) in powertrain development, 2013	2	2013

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