Attila Reiss

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Didier StrickerProfessor for Computer Science, University KaiserslauternVerified email at dfki.uni-kl.de
Robert DuerichenArcturis Data, UKVerified email at arcturisdata.com
Kristof Van LaerhovenUniversity of SiegenVerified email at eti.uni-siegen.de
Gustaf HendebyAssoc. Prof & Docent, Linköping UniversityVerified email at liu.se
Oliver AmftProfessor of Intelligent Embedded Systems & Executive Board Hahn-SchickardVerified email at cs.uni-freiburg.de
Jingyuan ChengUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Paul LukowiczProfessor of Computer Science, DFKI and University of KaiserslauternVerified email at dfki.de
Bo ZhouGerman Research Center for Artificial IntelligenceVerified email at dfki.de
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyVerified email at kit.edu
Michael HanselmannSenior Manager (AI, Automated Driving), Robert Bosch GmbHVerified email at de.bosch.com
Thomas PloetzGeorgia Institute of TechnologyVerified email at gatech.edu
Marco HirschResearcher at German Research Center for Artificial Intelligence (DFKI)Verified email at dfki.de
Sarvenaz SalehiDaimlerVerified email at Daimler.com
Shabnam GhaffarzadeganSenior Research Scientist, Bosch Research and Technology CenterVerified email at us.bosch.com
Zhe FengBosch Research & Technology Center, North AmericaVerified email at us.bosch.com
Ilias LamprinosICT Solutions Architect & Bid Manager - EU Institutions and International Organizations OTE S.A.Verified email at ote.gr
Julia VinogradskaBosch Center for Artificial Intelligence, RenningenVerified email at de.bosch.com
Felix BerkenkampBosch Center for AIVerified email at de.bosch.com
Petru TighineanuBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Paul BaireutherBosch Center for Artificial IntelligenceVerified email at de.bosch.com

Attila Reiss

Bosch Center for Artificial Intelligence

Verified email at de.bosch.com - Homepage

Wearable computing Bayesian Optimisation Machine learning Activity recognition Affective computing


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Introducing a new benchmarked dataset for activity monitoring A Reiss, D Stricker 2012 16th international symposium on wearable computers, 108-109, 2012	957	2012
Introducing wesad, a multimodal dataset for wearable stress and affect detection P Schmidt, A Reiss, R Duerichen, C Marberger, K Van Laerhoven Proceedings of the 20th ACM international conference on multimodal …, 2018	515	2018
Creating and benchmarking a new dataset for physical activity monitoring A Reiss, D Stricker Proceedings of the 5th International Conference on PErvasive Technologies …, 2012	285	2012
CNN-based sensor fusion techniques for multimodal human activity recognition S Münzner, P Schmidt, A Reiss, M Hanselmann, R Stiefelhagen, ... Proceedings of the 2017 ACM international symposium on wearable computers …, 2017	194	2017
Deep PPG: large-scale heart rate estimation with convolutional neural networks A Reiss, I Indlekofer, P Schmidt, K Van Laerhoven Sensors 19 (14), 3079, 2019	182	2019
Wearable-based affect recognition—A review P Schmidt, A Reiss, R Dürichen, K Van Laerhoven Sensors 19 (19), 4079, 2019	119	2019
Smart table surface: A novel approach to pervasive dining monitoring B Zhou, J Cheng, M Sundholm, A Reiss, W Huang, O Amft, P Lukowicz 2015 IEEE International Conference on Pervasive Computing and Communications …, 2015	80	2015
A competitive approach for human activity recognition on smartphones A Reiss, G Hendeby, D Stricker European Symposium on Artificial Neural Networks, Computational Intelligence …, 2013	77	2013
Exploring and extending the boundaries of physical activity recognition A Reiss, M Weber, D Stricker 2011 IEEE International Conference on Systems, Man, and Cybernetics, 46-50, 2011	63	2011
Personalized mobile physical activity recognition A Reiss, D Stricker Proceedings of the 2013 international symposium on wearable computers, 25-28, 2013	55	2013
Wearable affect and stress recognition: A review P Schmidt, A Reiss, R Duerichen, K Van Laerhoven arXiv preprint arXiv:1811.08854, 2018	49	2018
Introducing a modular activity monitoring system A Reiss, D Stricker 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011	43	2011
Towards robust activity recognition for everyday life: Methods and evaluation A Reiss, G Hendeby, D Stricker Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013 7th …, 2013	42	2013
Aerobic activity monitoring: towards a long-term approach A Reiss, D Stricker Universal Access in the Information Society 13, 101-114, 2014	41	2014
Towards global aerobic activity monitoring A Reiss, D Stricker Proceedings of the 4th International Conference on PErvasive Technologies …, 2011	40	2011
Multi-target affect detection in the wild: an exploratory study P Schmidt, R Dürichen, A Reiss, K Van Laerhoven, T Plötz Proceedings of the 2019 ACM International Symposium on Wearable Computers …, 2019	38	2019
Personalized mobile physical activity monitoring for everyday life A Reiss Technische Universität Kaiserslautern, 2014	38	2014
Activity Recognition Using Biomechanical Model Based Pose Estimation. A Reiss, G Hendeby, G Bleser, D Stricker EuroSSC, 42-55, 2010	36	2010
A novel confidence-based multiclass boosting algorithm for mobile physical activity monitoring A Reiss, G Hendeby, D Stricker Personal and Ubiquitous Computing 19, 105-121, 2015	35	2015
Personalized physical activity monitoring using wearable sensors G Bleser, D Steffen, A Reiss, M Weber, G Hendeby, L Fradet Smart health: Open problems and future challenges, 99-124, 2015	32	2015

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