@inproceedings{LemkeHoelterAckermannetal.2023, author = {Lemke, Mathias and H{\"o}lter, Arne and Ackermann, David and Weinzierl, Stefan}, title = {Physikalisch informierte Interpolation von Richtcharakteristiken [Manuskript]}, series = {Fortschritte der Akustik - DAGA 2023 - 49. Jahrestagung f{\"u}r Akustik 06. - 09. M{\"a}rz 2023, Hamburg}, booktitle = {Fortschritte der Akustik - DAGA 2023 - 49. Jahrestagung f{\"u}r Akustik 06. - 09. M{\"a}rz 2023, Hamburg}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, address = {Berlin}, isbn = {978-3-939296-21-8}, pages = {1656 -- 1659}, year = {2023}, language = {de} } @inproceedings{EbertAckermannWeinzierl2025, author = {Ebert, Julian and Ackermann, David and Weinzierl, Stefan}, title = {Messung der Richtcharakteristik von Mikrofonen mit hoher Aufl{\"o}sung [Manuscript]}, series = {Fortschritte der Akustik - DAS\DAGA 2025}, booktitle = {Fortschritte der Akustik - DAS\DAGA 2025}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik eV (DEGA)}, address = {Berlin}, isbn = {978-3-939296-23-2}, doi = {10.71568/dasdaga2025.178}, pages = {487 -- 490}, year = {2025}, language = {en} } @inproceedings{RosenkranzBurgmayerAckermannetal.2017, author = {Rosenkranz, Andreas and Burgmayer, Ralf and Ackermann, David and H{\"a}drich, Markus and Weinzierl, Stefan}, title = {A Mobile App for Room Acoustical Measurements}, series = {Fortschritte der Akustik - DAGA 2017: 43. Jahrestagung f{\"u}r Akustik}, booktitle = {Fortschritte der Akustik - DAGA 2017: 43. Jahrestagung f{\"u}r Akustik}, editor = {Schmidt, Gerhard and Nolte, Bodo and Heute, Ulrich}, publisher = {Kiel}, address = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, isbn = {978-3-939296-12-6}, pages = {235 -- 237}, year = {2017}, language = {en} } @inproceedings{StuhlsatzMeierKatzetal.2003, author = {Stuhlsatz, Andr{\´e} and Meier, Hans-G{\"u}nter and Katz, M. and Kr{\"u}ger, S. E. and Wendemuth, Andreas}, title = {Classification of Speech Recognition Hypotheses with Support Vector Machines}, series = {Proceedings of the Speech Processing Workshop: Magdeburg, Germany, September 09, 2003 ; in connection with the symposium of the German Association for Pattern Recognition (DAGM) 2003}, booktitle = {Proceedings of the Speech Processing Workshop: Magdeburg, Germany, September 09, 2003 ; in connection with the symposium of the German Association for Pattern Recognition (DAGM) 2003}, editor = {Wendemuth, Andreas}, publisher = {Otto-von-Guericke-Universit{\"a}t Magdeburg}, address = {Magdeburg}, isbn = {9783929757590}, year = {2003}, language = {en} } @inproceedings{Stuhlsatz2007, author = {Stuhlsatz, Andr{\´e}}, title = {Recognition of ultrasonic multi-echo sequences for autonomous symbolic indoor tracking}, series = {Sixth International Conference on Machine Learning and Applications (ICMLA 2007), 13-15 December 2007, Cincinnati}, booktitle = {Sixth International Conference on Machine Learning and Applications (ICMLA 2007), 13-15 December 2007, Cincinnati}, publisher = {IEEE}, isbn = {978-0-7695-3069-7}, doi = {10.1109/ICMLA.2007.30}, pages = {178 -- 185}, year = {2007}, language = {en} } @inproceedings{StuhlsatzMeierWendemuth2008, author = {Stuhlsatz, Andr{\´e} and Meier, Hans-G{\"u}nter and Wendemuth, Andreas}, title = {Making the Lipschitz Classifier Practical via Semi-infinite Programming}, series = {2008 Seventh International Conference on Machine Learning and Applications, 11-13 December 2008, San Diego}, booktitle = {2008 Seventh International Conference on Machine Learning and Applications, 11-13 December 2008, San Diego}, publisher = {IEEE}, isbn = {978-0-7695-3495-4}, doi = {10.1109/ICMLA.2008.26}, pages = {40 -- 47}, year = {2008}, language = {en} } @inproceedings{MayaKrieterWolfetal.2022, author = {Maya, Fatima and Krieter, Philipp and Wolf, Karsten D. and Breiter, Andreas}, title = {Extracting Production Style Features of Educational Videos with Deep Learning}, series = {Proceedings of DELFI Workshops 2022 Karlsruhe, 12. September 2022}, booktitle = {Proceedings of DELFI Workshops 2022 Karlsruhe, 12. September 2022}, editor = {Mandausch, Martin and Henning, Peter A.}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {10.18420/delfi2022-ws-23}, pages = {123 -- 132}, year = {2022}, abstract = {Enforced by the pandemic, the production of videos in educational settings and their availability on learning platforms allow new forms of video-based learning. This has a strong benefit of covering multiple topics with different design styles and facilitating the learning experience. Consequently, research interest in video-based learning has increased remarkably, with many studies focusing on examining the diverse visual properties of videos and their impact on learner engagement and knowledge gain. However, manually analysing educational videos to collect metadata and to classify videos for quality assessment is a time-consuming activity. In this paper, we address the problem of automatic video feature extraction related to video production design. To this end, we introduce a novel use case for object detection models to recognize the human embodiment and the type of teaching media used in the video. The results obtained on a small-scale custom dataset show the potential of deep learning models for visual video analysis. This will allow for future use in developing an automatic video assessment system to reduce the workload for teachers and researchers.}, language = {en} } @inproceedings{KrieterViertelBreiter2021, author = {Krieter, Philipp and Viertel, Michael and Breiter, Andreas}, title = {Supporting Students' Privacy: How Does Learner Control over Their Data Affect the Dataset for Learning Analytics?}, series = {DELFI 2021 19. Fachtagung Bildungstechnologien der GI ; Proceedings of DELFI Workshops 2021, 13.09.2021 Dortmund,}, booktitle = {DELFI 2021 19. Fachtagung Bildungstechnologien der GI ; Proceedings of DELFI Workshops 2021, 13.09.2021 Dortmund,}, editor = {Lingnau, Andreas}, publisher = {Hochschule Ruhr Wes}, address = {Bottrop}, isbn = {978-3-946757-03-0}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:1393-opus4-7338}, pages = {146 -- 157}, year = {2021}, abstract = {An increasing amount of data for learning analytics is available due to the spread of digital learning environments. Collecting data on student behavior and action in these environments raises the question of how personal privacy can be addressed, as students are the most important stakeholder in the process. In our study we propose a simple but powerful approach to enhance student privacy: a switch to turn the data collection on and off. We let the students decide for themselves when they want to stop and go on with the collection of their data. In this paper, we take a closer look at how our students make use of this option and when and how this influences the collected data by exemplarily investigating the data of two of our participants in detail. In our analysis we combine system log files, screen recordings and qualitative interviews.}, language = {en} } @inproceedings{Krieter2024, author = {Krieter, Philipp}, title = {Recall for Good: Flexible Retrospective Mobile In-App Topic Tracking in a Privacy-Friendly Local-First Approach}, series = {MUM '24: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, Stockholm Sweden December 1 - 4, 2024}, booktitle = {MUM '24: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, Stockholm Sweden December 1 - 4, 2024}, editor = {Matviienko, Andrii and Niess, Jasmin and Kosch, Thomas}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-1283-8}, doi = {10.1145/3701571.3703382}, pages = {451 -- 453}, year = {2024}, language = {en} } @inproceedings{KrieterZerrerPuschmannetal.2024, author = {Krieter, Philipp and Zerrer, Patrick and Puschmann, Cornelius and Geise, Stephanie}, title = {Following Topics Across All Apps and Media Formats: Mobile Keyword Tracking as a Privacy-Friendly Data Source in Mobile Media Research}, series = {UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari Italy, July 1 - 4, 2024}, booktitle = {UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari Italy, July 1 - 4, 2024}, editor = {Boratto, Ludovico and Gena, Cristina and Marras, Mirko and Germanakos, Panagiotis and Popescus, Elvira}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0466-6}, doi = {10.1145/3631700.3664879}, pages = {126 -- 131}, year = {2024}, language = {en} }