Articles with public access mandates - Michael BeiglLearn more
Not available anywhere: 17
Participatory sensing or participatory nonsense? Mitigating the effect of human error on data quality in citizen science
M Budde, A Schankin, J Hoffmann, M Danz, T Riedel, M Beigl
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
Mandates: Federal Ministry of Education and Research, Germany
VibrationCap: studying vibrotactile localization on the human head with an unobtrusive wearable tactile display
V Diener, M Beigl, M Budde, E Pescara
Proceedings of the 2017 ACM International Symposium on Wearable Computers, 82-89, 2017
Mandates: Federal Ministry of Education and Research, Germany
Feedback-based closed-loop carrier synchronization: A sharp asymptotic bound, an asymptotically optimal approach, simulations, and experiments
S Sigg, RM El Masri, M Beigl
IEEE transactions on mobile computing 10 (11), 1605-1617, 2011
Mandates: German Research Foundation
Psychometric properties of the user experience questionnaire (UEQ)
A Schankin, M Budde, T Riedel, M Beigl
Proceedings of the 2022 Chi conference on human factors in computing systems …, 2022
Mandates: Federal Ministry of Education and Research, Germany
Reverse engineering of printed electronics circuits: From imaging to netlist extraction
AT Erozan, M Hefenbrock, M Beigl, J Aghassi-Hagmann, MB Tahoori
IEEE Transactions on Information Forensics and Security 15, 475-486, 2019
Mandates: Helmholtz Association
Fast and efficient high-sigma yield analysis and optimization using kernel density estimation on a Bayesian optimized failure rate model
DD Weller, M Hefenbrock, M Beigl, MB Tahoori
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
Mandates: US National Science Foundation
Using prediction to conserve energy in recognition on mobile devices
D Gordon, S Sigg, Y Ding, M Beigl
2011 IEEE International Conference on Pervasive Computing and Communications …, 2011
Mandates: German Research Foundation
Point and contextual anomaly detection in building load profiles of a university campus
L Wang, M Turowski, M Zhang, T Riedel, M Beigl, R Mikut, V Hagenmeyer
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 11-15, 2020
Mandates: Helmholtz Association
Data analysis on building load profiles: A stepping stone to future campus
L Wang, Y Ding, T Riedel, A Miclaus, M Beigl
2017 International Smart Cities Conference (ISC2), 1-4, 2017
Mandates: Federal Ministry of Education and Research, Germany
Anomaly detection in evolving heterogeneous graphs
S Sudrich, J Borges, M Beigl
2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017
Mandates: Federal Ministry of Education and Research, Germany
Ensuring a robust multimodal conversational user interface during maintenance work
C Fleiner, T Riedel, M Beigl, M Ruoff
Proceedings of Mensch und Computer 2021, 79-91, 2021
Mandates: Federal Ministry of Education and Research, Germany
Graph-based anomaly detection for smart cities: A survey
S Sudrich, J Borges, M Beigl
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017
Mandates: Federal Ministry of Education and Research, Germany
Drive by maintenance towards adaptive work environments with improved industrial HCI
A Miclaus, E Pescara, A Mädche, M Beigl
Proceedings of the 12th ACM International Conference on PErvasive …, 2019
Mandates: Federal Ministry of Education and Research, Germany
Challenges and Lessons from Working with Data Collected by Crowdfunding in the Wild
A Exler, M Budde, E Pescara, A Schankin, T Riedel, M Beigl
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
Mandates: Federal Ministry of Education and Research, Germany
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits
H Zhao, P Pal, M Hefenbrock, M Beigl, MB Tahoori
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
Mandates: European Commission
State Graph Based Explanation Approach for Black-Box Time Series Model
Y Huang, C Li, H Lu, T Riedel, M Beigl
World Conference on Explainable Artificial Intelligence, 153-164, 2023
Mandates: Helmholtz Association
Neural Kernel Network Deep Kernel Learning for Predicting Particulate Matter from Heterogeneous Sensors with Uncertainty
C Li, T Riedel, M Beigl
International Conference on Information Integration and Web, 252-266, 2022
Mandates: Helmholtz Association
Available somewhere: 47
Actiserv: Activity recognition service for mobile phones
M Berchtold, M Budde, D Gordon, HR Schmidtke, M Beigl
International symposium on wearable computers (ISWC) 2010, 1-8, 2010
Mandates: German Research Foundation
Descriptive compound identifier names improve source code comprehension
A Schankin, A Berger, DV Holt, JC Hofmeister, T Riedel, M Beigl
Proceedings of the 26th Conference on Program Comprehension, 31-40, 2018
Mandates: German Research Foundation
Potential and limitations of the low-cost SDS011 particle sensor for monitoring urban air quality
M Budde, AD Schwarz, T Müller, B Laquai, N Streibl, G Schindler, ...
ProScience 5 (6), 12, 2018
Mandates: Federal Ministry of Education and Research, Germany
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