Marco Huber

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Uwe D. HanebeckKarlsruhe Institute of Technology (KIT)Verified email at ieee.org
Marc ZöllerUSU Software AGVerified email at usu.com
Richard BormannFraunhofer IPAVerified email at ipa.fraunhofer.de
Florian ZeigerSiemens AGVerified email at siemens.com
Juergen BeyererProfessor für Informatik KIT Karlsruhe und Leiter des Fraunhofer-IOSBVerified email at iosb.fraunhofer.de
Vangelis GazisUniversity of AthensVerified email at di.uoa.gr
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Alessandro LeonardiDIIT, DIEEI, University of Catania, AGT Group (R&D) GmbH, Darmstadt, AGT InternationalVerified email at agtinternational.com
Alexander WiesmaierDarmstadt University of Applied SciencesVerified email at h-da.de
Manuel Görtzurban mobility innovationsVerified email at manuel-goertz.de
Achim KuwertzFraunhofer IOSBVerified email at iosb.fraunhofer.de
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Tim BaileyUniversity of SydneyVerified email at acfr.usyd.edu.au
Hugh Durrant-WhyteUniversity of SydneyVerified email at sydney.edu.au
Christian LandgrafFraunhofer IPAVerified email at ipa.fraunhofer.de
Dennis SchieferdeckerKarlsruhe Institute of Technology Verified email at kit.edu
Nikolaos FrangiadakisVerified email at cs.umd.edu
Christian DebesSpryfox GmbHVerified email at debes.de
Emmanouil VasilomanolakisAssociate Professor, Technical University of Denmark (DTU)Verified email at dtu.dk
Werner KrausFraunhofer Institute for Manufacturing Engineering and Automation IPAVerified email at ipa.fraunhofer.de

Marco Huber

University of Stuttgart

Verified email at ieee.org - Homepage

Bayesian Filtering Machine Learning Optimal Control Data Fusion Internet of Things


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A survey on the explainability of supervised machine learning N Burkart, MF Huber Journal of Artificial Intelligence Research 70, 245-317, 2021	344	2021
On entropy approximation for Gaussian mixture random vectors MF Huber, T Bailey, H Durrant-Whyte, UD Hanebeck 2008 IEEE International Conference on Multisensor Fusion and Integration for …, 2008	297	2008
Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber Journal of artificial intelligence research 70, 409-472, 2021	228	2021
Analytic moment-based Gaussian process filtering MP Deisenroth, MF Huber, UD Hanebeck Proceedings of the 26th annual international conference on machine learning …, 2009	172	2009
Recursive Gaussian process: On-line regression and learning MF Huber Pattern Recognition Letters 45, 85-91, 2014	136	2014
Robust filtering and smoothing with Gaussian processes MP Deisenroth, RD Turner, MF Huber, UD Hanebeck, CE Rasmussen IEEE Transactions on Automatic Control 57 (7), 1865-1871, 2011	135	2011
A survey of technologies for the internet of things V Gazis, M Görtz, M Huber, A Leonardi, K Mathioudakis, A Wiesmaier, ... 2015 international wireless communications and mobile computing conference …, 2015	134	2015
A survey on learning-based robotic grasping K Kleeberger, R Bormann, W Kraus, MF Huber Current Robotics Reports 1, 239-249, 2020	129	2020
Short paper: IoT: Challenges, projects, architectures V Gazis, M Goertz, M Huber, A Leonardi, K Mathioudakis, A Wiesmaier, ... 2015 18th international conference on intelligence in next generation …, 2015	111	2015
MEMS IMU for ahrs applications W Geiger, J Bartholomeyczik, U Breng, W Gutmann, M Hafen, E Handrich, ... 2008 IEEE/ION Position, Location and Navigation Symposium, 225-231, 2008	110	2008
Survey on automated machine learning MA Zöller, MF Huber arXiv preprint arXiv:1904.12054 9, 2019	106	2019
Low resolution person detection with a moving thermal infrared camera by hot spot classification M Teutsch, T Muller, M Huber, J Beyerer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	99	2014
Gaussian mixture reduction via clustering D Schieferdecker, MF Huber 2009 12th international conference on information fusion, 1536-1543, 2009	90	2009
Gaussian filter based on deterministic sampling for high quality nonlinear estimation MF Huber, UD Hanebeck IFAC Proceedings Volumes 41 (2), 13527-13532, 2008	86	2008
Progressive Gaussian mixture reduction MF Huber, UD Hanebeck 2008 11th International Conference on Information Fusion, 1-8, 2008	82	2008
Dirac mixture approximation of multivariate gaussian densities UD Hanebeck, MF Huber, V Klumpp Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009	63	2009
Large-scale 6d object pose estimation dataset for industrial bin-picking K Kleeberger, C Landgraf, MF Huber 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019	51	2019
Recursive Gaussian process regression MF Huber 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	40	2013
Probabilistic framework for sensor management M Huber KIT Scientific Publishing, 2009	40	2009
Optimal Pruning for Multi-Step Sensor Scheduling MF Huber IEEE Transactions on Automatic Control 57 (5), 1338-1343, 2012	39	2012

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