Dylus, S. ., Christiansen, J. ., & Teegen, F. . (2018). Probabilistic Functional Logic Programming. In Practical Aspects of Declarative Languages (S. 3–19). Springer International Publishing.
Abstract
This paper presents PFLP, a library for probabilistic programming in the functional logic programming language Curry. It demonstrates how the concepts of a functional logic programming language support the implementation of a library for probabilistic programming. In fact, the paradigms of functional logic and probabilistic programming are closely connected. That is, we can apply techniques from one area to the other and vice versa. We will see that an implementation based on the concepts of functional logic programming can have benefits with respect to performance compared to a standard list-based implementation.
Nicolaisen, V. ., Dohse, F. ., Eickelmann, T. ., Goldgräbe, Y. ., Reinhold, S. ., & Teistler, M. . (2018). Open Privacy: Anonymisiertes Live-Feedback für Vortragssituationen. In Mensch und Computer 2018 - Tagungsband. Bonn: Gesellschaft für Informatik e.V. http://doi.org/10.18420/muc2018-mci-0420
Uzunkol, O. ., Rangasamy, J. ., & Kuppusamy, L. . (2018). Hide the Modulus: A Secure Non-Interactive Fully Verifiable Delegation Scheme for Modular Exponentiations via CRT. In Developments in Language Theory (S. 250–267). Springer International Publishing. http://doi.org/10.1007/978-3-319-99136-8_14
Wallbaum, T. ., Schulze, M. ., Braun, N. ., Philipsen, A. ., & Boll, S. C. (2018). Contextual Assesments and Biomarker in Agitation Prediction for ADHD Patients. In Proceedings of the 3rd International Workshop on Multimedia for Personal Health and Health Care (S. 25–28).
Nurdiani, I. ., Börstler, J. ., Fricker, S. ., & Petersen, K. . (2018). A preliminary checklist for capturing baseline situations in studying the impacts of Agile practices introduction. In 2018 IEEE/ACM 6th International Workshop on Conducting Empirical Studies in Industry (CESI) (S. 25–28).
Byl, B. ., Süncksen, M. ., & Teistler, M. . (2018). A serious virtual reality game to train spatial cognition for medical ultrasound imaging. In 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH) (S. 1–4). http://doi.org/10.1109/SeGAH.2018.8401365
von Jan, V. ., Bertel, S. ., & Hornecker, E. . (2018). Information Push and Pull in Tactile Pedestrian Navigation Support. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (S. 55–62). New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3236112.3236120
Abstract
For pedestrian navigation support, we report on how the feeling of being in control about receiving updates impacts navigation efficiency and user experience. In an exploratory field study, 24 participants navigated to previously unknown targets using a wristband which conveyed tactile information about targets bearing. Information was either pulled by the user at times of her choosing via a simple arm gesture, or was pushed by the armband at a regular, preset interval. While the push mode resulted in higher efficiency, more users preferred actively pulling information, possibly as this afforded feeling more in control. Interestingly, mode preference was independent of individual navigation ability. Results suggest that properties of the specific navigation context should be used to determine whether an interface offers push or pull modes for navigation support.
eri, J. S. M., Bin Ali, N. ., Petersen, K. ., Minhas, N. M., & Chatzipetrou, P. . (2018). Teaching students critical appraisal of scientific literature using checklists. In Proceedings of the 3rd European Conference of Software Engineering Education (S. 8–17).
Süncksen, M. ., Bendig, H. ., Teistler, M. ., Wagner, M. ., Bott, O. ., & Dresing, K. . (2018). Gamification and virtual reality for teaching mobile x-ray imaging. In 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH) (S. 1–7). http://doi.org/10.1109/SeGAH.2018.8401364
Luna, J. ., Gros, S. ., Geisler, J. ., Falkenberg, O. ., Noga, R. ., & Schild, A. . (2018). Super-short Term Wind Speed Prediction based on Artificial Neural Networks for Wind Turbine Control Applications. In IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (S. 1952–1957). http://doi.org/10.1109/IECON.2018.8591623