piwik-script

English Intern
    Institut für Informatik

    Veröffentlichungen

    Veröffentlichungen von Autoren des Instituts für Informatik

    Diese Liste ist noch sehr unvollständig. Es erscheinen nur Veröffentlichungen von Autoren, die ihre Publikationsliste über www.bibsonomy.org verwalten (und Mitglied der Gruppe https://www.bibsonomy.org/group/csuniwue sind).

    [ 2021, to appear ] [ 2021 ] [ 2020 ] [ 2019 ] [ 2018 ] [ 2017 ] [ 2016 ] [ 2015 ] [ 2014 ] [ 2013 ] [ 2012 ] [ 2011 ] [ 2010 ] [ 2009 ] [ 2008 ] [ 2007 ] [ 2006 ] [ 2005 ] [ 2004 ] [ 2003 ] [ 2002 ] [ 2001 ] [ 2000 ] [ 1999 ] [ 1998 ] [ 1997 ] [ 1996 ] [ 1995 ] [ 1988 ]

    2021, to appear [ nach oben ]

    • 1.
      Wolf, E., Merdan, N., Döllinger, N., Mal, D., Wienrich, C., Botsch, M., Latoschik, M.E.: The Embodiment of Photorealistic Avatars Influences Female Body Weight Perception in Virtual Reality. Proceedings of the 28th IEEE Virtual Reality Conference (VR ’21) (2021).
       

    2021 [ nach oben ]

    • 1.
      Vomhoff, V.: Modeling 2G/3G MVNO IoT Signaling Traffic, (2021).
       
    • 2.
      Supervisor: Wamser, F.: Aufbau eines Blockchain-Testbeds, (2021).
       
    • 3.
      Supervisor: Wamser, F.: Blockchain in cloud and communication networks, (2021).
       
    • 4.
      Supervisor: Wehner, N.: Simulation Framework for Web QoE Monitoring, (2021).
       
    • 5.
      Supervisor: Wehner, N.: Implementation of a Low Latency QoE Fair HAS Logic, (2021).
       
    • 6.
      Supervisor: Wehner, N.: Flow-based Web QoE Monitoring for Encrypted Network Traffic, (2021).
       
    • 7.
      Supervisor: Wehner, N.: QoE Monitoring using State-of-the-Art NLP Techniques, (2021).
       
    • 8.
      Supervisor: Wamser, F.: Blockchain in communication networks, (2021).
       
    • 9.
      Supervisor: Wamser, F.: Analyse von neuen Video Streaming-Konzepten, (2021).
       
    • 10.
      Sichermann, M.: Bewertung und Analyse von 5G-Mobilfunk: Large-scale Monitoring-Lösungen und -Konzepte zur Bestimmung der Leistung von 5G, (2021).
       
    • 11.
      Wamser, F.: Bewertung und Analyse von 5G-Mobilfunk: Grundlagen zu Crowdsourcing-basierten 5G-Mobilfunkmessungen, (2021).
       
    • 12.
      Supervisor: Seufert, A.: Investigating the QoE of Mobile Instant Messaging, (2021).
       
    • 13.
      Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2021).
       
    • 14.
      Geissler, S., Wamser, F., Bauer, W., Krolikowski, M., Gebert, S., Hoßfeld, T.: Signaling Traffic in Internet-of-Things Mobile Networks. IFIP/IEEE International Symposium on Integrated Network Management (IM 2021). , Bordeaux, France (Virtual Conference) (2021).
       
    • 15.
      Wieser, V.: Measurement Box for Bandwidth Traces under Mobility, (2021).
       
    • 16.
      Supervisor: Seufert, A.: Investigating the Influence of Transmission Delays on the QoE of Mobile Instant Messaging, (2021).
       
    • 17.
      Schweifler, R.: Evaluating the Impact of Browsing Delays on the QoE of Music Streaming, (2021).
       
    • 18.
      Supervisor: Seufert, A.: Evaluating the Influence of the Measurement Design on Mobile Video Streaming Behavior, (2021).
       
    • 19.
      Supervisor: Seufert, A.: Mobility Models for Traffic Simulation of Group-based Communications, (2021).
       
    • 20.
      Supervisor: Seufert, M.: Comparison of Web and Video QoE Perception, (2021).
       
    • 21.
      Supervisor: Seufert, M.: Data Augmentation of Network Traffic Traces, (2021).
       
    • 22.
      Supervisor: Seufert, M.: Performance Evaluation of Transfer Learning Approaches for QoE Estimation, (2021).
       
    • 23.
      Supervisor: Seufert, M.: Studying TCP/QUIC Performance for Competing Flow Access in a Testbed, (2021).
       
    • 24.
      Supervisor: Seufert, M.: Transfer Learning for QoE Monitoring of Encrypted Video Streaming Traffic, (2021).
       

    2020 [ nach oben ]

    • 1.
      Seufert, M., Kargl, J., Schauer, J., Nüchter, A., Hoßfeld, T.: Different Points of View: Impact of 3D Point Cloud Reduction on QoE of Rendered Images. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
       
    • 2.
      Wenninger, S., Achenbach, J., Bartl, A., Latoschik, M.E., Botsch, M.: Realistic Virtual Humans from Smartphone Videos. In: Teather, R.J., Joslin, C., Stuerzlinger, W., Figueroa, P., Hu, Y., Batmaz, A.U., Lee, W., und Ortega, F. (hrsg.) VRST. S. 29:1–29:11. ACM (2020).
       
    • 3.
      Wehner, N.: Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. , Proceedings of the 28th ACM International Conference on Multimedia (MM), Seattle, WA, USA (2020).
       
    • 4.
      Wehner, N.: Inferring Web QoE with Machine Learning from Encrypted Network Traffic. , 2nd KuVS Workshop on Machine Learning for Networking, Würzburg, Germany (2020).
       
    • 5.
      Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. ACM SIGMETRICS Performance Evaluation Review. (2020).
       
    • 6.
      Vomhoff, V.: Reliability of Crowdsourced Measurements, (2020).
       
    • 7.
      Supervisor: Loh, F.: Solving the Collision Problem with Aggregation? A Measurement Driven LoRaWAN Study., (2020).
       
    • 8.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. hrsg.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Springer (2020).
       
    • 9.
      Vetter, A., Götz, D., von Mammen, S.: The Art of Loci: Immerse to Memorize. 2020 IEEE Conference on Games (CoG). S. 642–645. IEEE, Osaka, Japan (2020).
       
    • 10.
      Kunz, F., Hirth, M., Schweitzer, T., Linz, C., Goetz, B., Stellzig-Eisenhauer, A., Borchert, K., Böhm, H.: Subjective perception of craniofacial growth asymmetries in patients with deformational plagiocephaly. Springer Clinical Oral Investigations. 24, https://doi.org/10.1007/s00784–020 (2020).
       
    • 11.
      Stulier, N.: Characterisation of the APM in videogames using DOTA 2, (2020).
       
    • 12.
      Stauffert, J.-P., Niebling, F., Latoschik, M.E.: Latency and Cybersickness: Impact, Causes, and Measures. A Review. Frontiers in Virtual Reality. 1, 31 (2020).
       
    • 13.
      Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A.: Where to Submit? Helping Researchers to Choose the Right Venue. Findings of the Association for Computational Linguistics: EMNLP 2020. S. 878–883. Association for Computational Linguistics, Online (2020).
       
    • 14.
      Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A.: Where to Submit? Helping Researchers to Choose the Right Venue. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. S. 878–883. Association for Computational Linguistics, Online (2020).
       
    • 15.
      Steinhaeusser, S.C., Lugrin, B.: Horror Laboratory and Forest Cabin - A Horror Game Series for Desktop Computer, Virtual Reality, and Smart Substitutional Reality. Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. ACM (2020).
       
    • 16.
      Wassermann, S., Seufert, M., Casas, P., Li, G., Kuang, L.: ViCrypt to the Rescue: Real-time, Machine-Learning-driven Video-QoE Monitoring for Encrypted Streaming Traffic. IEEE Transactions on Network and Service Management. 17, 2007–2023 (2020).
       
    • 17.
      Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. 2nd Workshop on AI in Networks and Distributed Systems (WAIN). , Milan, Italy (2020).
       
    • 18.
      Khelloqi, S.: Data Augmentation for Machine Learning on Network Traffic, (2020).
       
    • 19.
      Supervisor: Dietz, K.: Aufsetzen eines Tcpreplay-Servers, (2020).
       
    • 20.
      Münster, S., Niebling, F., Bruschke, J., Barthel, K., Friedrichs, K., Kröber, C., Maiwald, F.: Urban History Research and Discovery in the Age of Digital Repositories. A Report About Users and Requirements. In: Kremers, H. (hrsg.) Digital Cultural Heritage. S. 63–84. Springer International Publishing, Cham (2020).
       
    • 21.
      Supervisor: Metzger, F.: Profiling the E2E Delays of Streamed Video Games with the Camera Method, (2020).
       
    • 22.
      Supervisor: Metzger, F.: Examining the Netcode of Old, Open-sourced Video Games, (2020).
       
    • 23.
      Supervisor: Metzger, F.: Measuring the Effectiveness of Latency Mitigation Methods with a Prototype Video Game, (2020).
       
    • 24.
      Gall, D., Preßler, J., Hurtienne, J., Latoschik, M.E.: Self-organizing knowledge management might improve the quality of person-centered dementia care: A qualitative study. International Journal of Medical Informatics. 139, 104132 (2020).
       
    • 25.
      Supervisor: Loh, F.: Studying the Live Streaming Behavior of Mobile Twitch.tv and YouTube, (2020).
       
    • 26.
      Schüler, J.: Flow Statistics Calculation in a Programmable Data Plane with P4, (2020).
       
    • 27.
      Hofmann, J.: Deep Reinforcement Learning for Configuration of Time-Sensitive-Networking, (2020).
       
    • 28.
      Kobs, K., Zehe, A., Bernstetter, A., Chibane, J., Pfister, J., Tritscher, J., Hotho, A.: Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Transactions on Social Computing. 3, 1–34 (2020).
       
    • 29.
      Furdek, M., Natalino, C., Lipp, F., Hock, D., Di Giglio, A., Schiano, M.: Machine Learning for Optical Network Security Monitoring: A Practical Perspective. Journal of Lightwave Technology. 38, 2860–2871 (2020).
       
    • 30.
      von der Pütten, A.M.R., Lugrin, B., Steinhaeusser, S.C., Klass, L.: Context Matters! Identifying Social Context Factors and Assessing Their Relevance for a Socially Assistive Robot. Companion of the 2020 International Conference on Human-Robot Interaction. S. 409–411. ACM (2020).
       
    • 31.
      Münster, S., Maiwald, F., Lehmann, C., Lazariv, T., Hofmann, M., Niebling, F.: An Automated Pipeline for a Browser-Based, City-Scale Mobile 4D VR Application Based on Historical Images. Proceedings of the 2nd Workshop on Structuring and Understanding of Multimedia HeritAge Contents. S. 33–40. Association for Computing Machinery, Seattle, WA, USA (2020).
       
    • 32.
      Hoßfeld, T., Heegaard, P.E., Skorin-Kapov, L., Varela, M.: Deriving QoE in systems: from fundamental relationships to a QoE‑based Service‑level Quality Index. Springer Quality and User Experience. 5, https://rdcu.be/b483m (2020).
       
    • 33.
      Stauffert, J.-P., Niebling, F., Latoschik, M.E.: Simultaneous Run-Time Measurement of Motion-to-Photon Latency and Latency Jitter. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). S. 636–644. IEEE (2020).
       
    • 34.
      Stauffert, J.-P., Niebling, F., Lugrin, J.-L., Latoschik, M.E.: Guided Sine Fitting for Latency Estimation in Virtual Reality. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). S. 707–708. IEEE (2020).
       
    • 35.
      Janiak, L.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2020).
       
    • 36.
      Schwind, A., Wamser, F., Hoßfeld, T., Wunderer, S., Tarnvik, E., Hall, A.: Crowdsourced Network Measurements in Germany: Mobile Internet Experience from End User Perspective. Broadband Coverage in Germany; 14. ITG Symposium. , Berlin (2020).
       
    • 37.
      Beyer, S., Chimani, M., Spoerhase, J.: A Simple Primal-Dual Approximation Algorithm for 2-Edge-Connected Spanning Subgraphs. Proc. 26th International Computing and Combinatorics Conference (COCOON’20) (2020).
       
    • 38.
      Steininger, M., Kobs, K., Zehe, A., Lautenschlager, F., Becker, M., Hotho, A.: MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst. 6, (2020).
       
    • 39.
      Steininger, M., Abel, D., Ziegler, K., Krause, A., Paeth, H., Hotho, A.: Deep Learning for Climate Model Output Statistics. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020. (2020).
       
    • 40.
      Lautenschlager, F., Becker, M., Kobs, K., Steininger, M., Davidson, P., Krause, A., Hotho, A.: OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Atmospheric Environment. 233, 117535 (2020).
       
    • 41.
      Fischer, M., Kobs, K., Hotho, A.: NICER — Aesthetic Image Enhancement with Humans in the Loop. ACHI 2020: The Thirteenth International Conference on Advances in Computer-Human Interactions. S. 357–362 (2020).
       
    • 42.
      Kobs, K., Potthast, M., Wiegmann, M., Zehe, A., Stein, B., Hotho, A.: Towards Predicting the Subscription Status of Twitch.tv Users. Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch. (2020).
       
    • 43.
      Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. (2020).
       
    • 44.
      Zehe, A., Arns, J., Hettinger, L., Hotho, A.: HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis. 5th SwissText & 16th KONVENS Joint Conference (2020).
       
    • 45.
      Schlör, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Brübach, L., Roth, D., Latoschik, M.E., Hotho, A.: Improving Sentiment Analysis with Biofeedback Data. Proceedings of LREC2020 Workshop ``People in language, vision and the mind’’ (ONION2020). S. 28–33. European Language Resources Association (ELRA), Marseille, France (2020).
       
    • 46.
      Omeliyanenko, J., Zehe, A., Hettinger, L., Hotho, A.: LM4KG: Improving Common Sense Knowledge Graphs with Language Models. In: Pan, J.Z., Tamma, V., d’Amato, C., Janowicz, K., Fu, B., Polleres, A., Seneviratne, O., und Kagal, L. (hrsg.) The Semantic Web -- ISWC 2020. S. 456–473. Springer International Publishing, Cham (2020).
       
    • 47.
      Wienrich, C., Döllinger, N.I., Hein, R.: Mind the Gap: A Framework (BehaveFIT) Guiding The Use of Immersive Technologies in Behavior Change Processes. arXiv preprint arXiv:2012.10912. (2020).
       
    • 48.
      Tönsing, L.: Prediction of YouTube’s Chunk Request from Monitored Encrypted Network Traffic, (2020).
       
    • 49.
      Seufert, M.: Statistical Methods and Models based on Quality of Experience Distributions. Quality and User Experience. 6, (2020).
       
    • 50.
      Borchert, K., Seufert, A., Gamboa, E., Hirth, M., Hoßfeld, T.: In vitro vs in vivo: does the study’s interface design influence crowdsourced video QoE?. Quality and User Experience. (2020).
       
    • 51.
      Dulny, A., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A.: Evaluating the multi-task learning approach for land use regression modelling of air pollution. International Conference on Frontiers of Artificial Intelligence and Machine Learning. IASED (2020).
       
    • 52.
      Borchert, K.: Estimating Quality of Experience of Enterprise Applications - A Crowdsourcing-based Approach, (2020).
       
    • 53.
      Tritscher, J., Ring, M., Schlr, D., Hettinger, L., Hotho, A.: Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., und Ra’s, Z.W. (hrsg.) Foundations of Intelligent Systems. S. 422–430. Springer International Publishing, Cham (2020).
       
    • 54.
      Kobs, K., Steininger, M., Zehe, A., Lautenschlager, F., Hotho, A.: SimLoss: Class Similarities in Cross Entropy. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., und Ra’s, Z.W. (hrsg.) Foundations of Intelligent Systems. S. 431–439. Springer International Publishing, Cham (2020).
       
    • 55.
      Truman, S., Mammen, textbfSebastian von: An Integrated Design of World-in-Miniature Navigation in Virtual Reality. FDG ’20: Proceedings of the 15th International Conference on the Foundations of Digital Games. S. 1–9. ACM, Bugibba, Malta (2020).
       
    • 56.
      Gray, N.: Evaluation of the Impact of Network Topologies and Applications on Synchronization Strategies of Distributed SDN Controllers, (2020).
       
    • 57.
      Zimmerer, C., Heinrich, R., Fischbach, M., Lugrin, J.-L., Latoschik, M.E.: Computing Object Selection Difficulty in VR Using Run-Time Contextual Analysis. 26th ACM Symposium on Virtual Reality Software and Technology. Association for Computing Machinery, Virtual Event, Canada (2020).
       
    • 58.
      Kindermann, P., Mchedlidze, T., Meulemans, W., Rutter, I.: Graph Drawing Contest Report. In: Auber, D. und Valtr, P. (hrsg.) Proc. 28th International Symposium on Graph Drawing and Network Visualization (GD’20) (2020).
       
    • 59.
      Zimmerer, C., Wolf, E., Wolf, S., Fischbach, M., Lugrin, J.-L., Latoschik, M.E.: Finally on Par?! Multimodal and Unimodal Interaction for Open Creative Design Tasks in Virtual Reality. Proceedings of the 2020 International Conference on Multimodal Interaction. S. 222–231. Association for Computing Machinery, Virtual Event, Netherlands (2020).
       
    • 60.
      Obremski, D., Wienrich, C., Carolus, A.: What the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistants. Gehalten auf der (2020).
       
    • 61.
      Supervisor: Metzger, F.: Exploratory Comparison of Contemporary Cloud Gaming Services, (2020).
       
    • 62.
      Gray, N.: Evaluation of Offloading Firewall Rules with P4, (2020).
       
    • 63.
      Mertinat, N.: Impact of Content Selection on Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices, (2020).
       
    • 64.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. hrsg.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Springer (2020).
       
    • 65.
      Aliev, E.: Evaluation of the Impact of Web Cross-Traffic on TCP and QUIC Video Streaming, (2020).
       
    • 66.
      Büttner, J., Merz, C., von Mammen, S.: Horde Battle III or How to Dismantle a Swarm. 2020 IEEE Conference on Games (CoG). S. 640–641. IEEE, Osaka, Japan (2020).
       
    • 67.
      Chaplick, S., Fleszar, K., Lipp, F., Ravsky, A., Verbitsky, O., Wolff, A.: Drawing Graphs on Few Lines and Few Planes. Journal of Computational Geometry. 11, 433–475 (2020).
       
    • 68.
      Wodarczyk, S., Mammen, textbfSebastian von: Emergent Multiplayer Games. IEEE CoG ’20: Proceedings of the 2nd International Conference on Games. S. 33–40. IEEE, Osaka, Japan (2020).
       
    • 69.
      Bauer, A., Züfle, M., Herbst, N., Zehe, A., Hotho, A., Kounev, S.: Time Series Forecasting for Self-Aware Systems. Proceedings of the IEEE. 1–26 (2020).
       
    • 70.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. hrsg.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Springer (2020).
       
    • 71.
      Ziegler, P., Mammen, textbfSebastian von: Generating Real-Time Strategy Heightmaps using Cellular Automata. FDG ’20: Proceedings of the 15th International Conference on the Foundations of Digital Games. ACM, Bugibba, Malta (2020).
       
    • 72.
      Supervisor: Metzger, F.: Designing a Realistic Virtual AQM Testbench, (2020).
       
    • 73.
      Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Timed Gates for Predictable Latency in Dynamic Networks, (2020).
       
    • 74.
      Borchert, K., Seufert, M., Hildebrand, K., Hoßfeld, T.: QoE Assessment of Enterprise Applications based on Self-motivated Ratings. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
       
    • 75.
      Kargl, J.: Analysis of QoE Aspects of 3D Point Cloud Reduction, (2020).
       
    • 76.
      Moldovan, C., Loh, F., Seufert, M., Hoßfeld, T.: Optimizing HAS for 360-Degree Videos. 5th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet). , Budapest, Hungary (2020).
       
    • 77.
      Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).
       
    • 78.
      Chaplick, S., Kindermann, P., Löffler, A., Thiele, F., Wolff, A., Zaft, A., Zink, J.: Stick Graphs with and without Length Constraints. Journal of Graph Algorithms & Applications. 25 pages (2020).
       
    • 79.
      Chaplick, S., Förster, H., Kryven, M., Wolff, A.: Drawing Graphs with Circular Arcs and Right-Angle Crossings. In: Albers, S. (hrsg.) Proc. 17th Scand. Symp. and Workshops on Algorithm Theory (SWAT’20). S. 21:1–. Schloss Dagstuhl~-- Leibniz-Zentrum für Informatik (2020).
       
    • 80.
      Supervisor: Loh, F.: Demand Study and Performance Evaluation of Future Smart City Networks, (2020).
       
    • 81.
      Chaplick, S., van Dijk, T.C., Kryven, M., Park, J.-W., Ravsky, A., Wolff, A.: Bundled Crossings Revisited. Journal of Graph Algorithms & Applications. 35 pages (2020).
       
    • 82.
      Hildebrand, K.: Impact of Rendering Times on the Perceived Loading Speed of Web Pages, (2020).
       
    • 83.
      Loh, F., Wamser, F., Moldovan, C., Zeidler, B., Tsilimantos, D., Valentin, S., Hoßfeld, T.: Is the Uplink Enough? Estimating Video Stalls from Encrypted Network Traffic. 32th IEEE/IFIP Network Operations and Management Symposium. , Budapest, Hungary (2020).
       
    • 84.
      Korger, A., Baumeister, J.: Case-Based Generation of Regulatory Documents and their Semantic Relatedness. Proceedings of the Future of Information and Communications Conference (FICC) 2020. Springer, San Francisco (2020).
       
    • 85.
      Walter, J., Zink, J., Baumeister, J., Wolff, A.: Layered Drawing of Undirected Graphs with Generalized Port Constraints. In: Auber, D. und Valtr, P. (hrsg.) Proc. 28th Int. Symp. Graph Drawing & Network Vis. (GD’20). Springer-Verlag (2020).
       
    • 86.
      Halloway, M.: Investigating the Influence of App Browsing Delays on the QoE of Music Streaming, (2020).
       
    • 87.
      Fehler, H.: Comparison of Web QoE Algorithms on Different Devices, (2020).
       
    • 88.
      Supervisor: Loh, F.: A Simulative Approach to Study the Coverage of LoRaWAN in Würzburg, (2020).
       
    • 89.
      Wehner, N.: Machine Learning-based Real-time Estimation of Quality of Experience from Encrypted Video Streaming Traffic. , 1st KuVS Workshop on Machine Learning for Networking, Munich, Germany (2020).
       
    • 90.
      Peng, D., Wolff, A., Haunert, J.-H.: Finding Optimal Sequences for Area Aggregation---A\($^\star$\) vs. Integer Linear Programming. ACM Transactions on Spatial Algorithms and Systems. 7, (2020).
       
    • 91.
      Raffeck, S.: Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions, (2020).
       
    • 92.
      Supervisor: Loh, F.: Studying the Scalability of LoRaWAN with Omnet++, (2020).
       
    • 93.
      Wamser, F., Alay, Özgü, Metzger, F., Valentin, S.: IJNM Special Issue - Editorial - QoE-centric Analysis and Management of Communication Networks. International Journal of Network Management. Special Issue: QoE-centric Analysis and Management of Communication Networks, (2020).
       
    • 94.
      Hirth, M., Borchert, K., de Moor, K., Borst, V., Hoßfeld, T.: Personal Task Design Preferences of Crowdworkers. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
       
    • 95.
      Oyanagi, A., Narumi, T., Lugrin, J.-L., Ando, H., Ohmura, R.: Reducing the Fear of Height by Inducing Proteus Effect of a Dragon Avatar. Journal of the Virtual Reality Society of Japan (2020).
       
    • 96.
      Gall, D., Latoschik, M.E.: Visual angle modulates affective responses to audiovisual stimuli. Computers in Human Behavior. 109, 106346 (2020).
       
    • 97.
      Hoßfeld, T., Heegaard, P.E., Varela, M., Skorin-Kapov, L., Fiedler, M.: From QoS Distributions to QoE Distributions: a System’s Perspective. 4th International Workshop on Quality of Experience Management (QoE Management 2020), featured by IEEE Conference on Network Softwarization (IEEE NetSoft 2020). , Ghent, Belgium (2020).
       
    • 98.
      Wißmann, N., Mišiak, M., Fuhrmann, A., Latoschik, M.E.: Accelerated Stereo Rendering with Hybrid Reprojection-Based Rasterization and Adaptive Ray-Tracing. Proceedings of the 27th IEEE Virtual Reality conference (IEEE VR ’20) (2020).
       
    • 99.
      Hoßfeld, T., Wunderer, S., Beyer, A., Hall, A., Schwind, A., Gassner, C., Guillemin, F., Wamser, F., Wascinski, K., Hirth, M., Seufert, M., Casas, P., Tran-Gia, P., Robitza, W., Wascinski, W., Ben Houidi, Z.: White Paper on Crowdsourced Network and QoE Measurements – Definitions, Use Cases and Challenges. Würzburg (2020).
       
    • 100.
      Plesker, F.: Simulation of a 5G Network Infrastructure, (2020).
       
    • 101.
      Wehner, N., Mertinat, N., Seufert, M., Hoßfeld, T.: Studying the Impact of the Content Selection Method on the Video QoE on Mobile Devices. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
       
    • 102.
      Schlör, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Brübach, L., Roth, D., Latoschik, M.E., Hotho, A.: Improving Sentiment Analysis with Biofeedback Data. Proceedings of the Workshop on peOple in laNguage, vIsiOn and the miNd (ONION) (2020).
       
    • 103.
      Mal, D.: [DC] The Impact of Social Interactions on an Embodied Individual’s Self-perception in Virtual Environments. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). S. 545–546. IEEE, Atlanta, GA, USA, USA (2020).
       
    • 104.
      Ripka, G., Tiede, J., Grafe, S., Latoschik, M.E.: Teaching and Learning Processes in Immersive VR – Comparing Expectations of Preservice Teachers and Teacher Educators. Society for Information Technology & Teacher Education (SITE) International Conference (2020).
       
    • 105.
      Evans, W., Gethner, E., Spalding-Jamieson, J., Wolff, A.: Angle Covers: Algorithms and Complexity. In: Rahman, S., Sadakane, K., und Sung, W.-K. (hrsg.) Proc. 14th Int. Workshop Algorithms Comput. (WALCOM’20). S. 94–106. Springer-Verlag (2020).
       
    • 106.
      Spoerhase, J., Storandt, S., Zink, J.: Simplification of Polyline Bundles. Proc. 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT’20) (2020).
       
    • 107.
      Schwind, A., Moldovan, C., Janiak, T., Dworschak, N.-D., Hoßfeld, T.: Don’t Stop the Music: Crowdsourced QoE Assessment of Music Streaming with Stalling. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
       
    • 108.
      Supervisor: Loh, F.: Analyzing the Streaming Behavior of the Amazon Echo Show, (2020).
       
    • 109.
      Supervisor: Loh, F.: Use Case Study of the Transmission Behavior of an Application Using LoRaWAN, (2020).
       
    • 110.
      Fischer, E., Zoller, D., Dallmann, A., Hotho, A.: Integrating Keywords into BERT4Rec for Sequential Recommendation. KI 2020: Advances in Artificial Intelligence. S. 275–282. Springer International Publishing, Cham (2020).
       
    • 111.
      Arslanian, A.: QoE Study for Compatible Video and Web Browsing QoE Models, (2020).
       
    • 112.
      Korger, A., Baumeister, J.: Construction of a Corpus for the Evaluation of Textual Case-based Reasoning Architectures. LWDA 2020 -- Lernen, Wissen, Daten, Analysen (2020).
       
    • 113.
      Oberdörfer, S., Elsässer, A., Schraudt, D., Grafe, S., Latoschik, M.E.: Horst – The Teaching Frog: Learning the Anatomy of a Frog Using Tangible AR. Proceedings of the 2020 Mensch und Computer Conference (MuC ’20). 303–307 (2020).
       
    • 114.
      Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).
       
    • 115.
      Ziebell, P., Stümpfig, J., Eidel, M., Kleih, S.C., Kübler, A., Latoschik, M.E., Halder, S.: Stimulus modality influences session-to-session transfer of training effects in auditory and tactile streaming-based P300 brain–computer interfaces. Scientific Reports. 10, 11873-- (2020).
       
    • 116.
      Wehner, N., Seufert, M., Egger-Lampl, S., Gardlo, B., Casas, P., Schatz, R.: Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. Proceedings of the 28th ACM International Conference on Multimedia (MM). , Seattle, WA, USA (2020).
       
    • 117.
      Niebling, F., Bruschke, J., Messemer, H., Wacker, M., von Mammen, S.: Analyzing Spatial Distribution of Photographs in Cultural Heritage Applications. In: Liarokapis, F., Voulodimos, A., Doulamis, N., und Doulamis, A. (hrsg.) Visual Computing for Cultural Heritage. S. 391–408. Springer, Cham (2020).
       
    • 118.
      Wehner, N., Mertinat, N., Seufert, M., Hoßfeld, T.: Studying the Impact of the Content Selection Method on the Video QoE on Mobile Devices, (2020).
       
    • 119.
      Donnermann, M., Schaper, P., Lugrin, B.: Integrating a Social Robot in Higher Education – A Field Study. 29th IEEE International Symposium on Robot and Human Interactive Communication. S. 573–579 (2020).
       
    • 120.
      Supervisor: Metzger, F.: Design and Evaluation of a Cloud Gaming Crowdsourcing Study, (2020).
       
    • 121.
      Wolf, E., Döllinger, N., Mal, D., Wienrich, C., Botsch, M., Latoschik, M.E.: Body Weight Perception of Females using Photorealistic Avatars in Virtual and Augmented Reality. 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2020).
       
    • 122.
      Supervisor: Metzger, F.: Vehicular and Wireless Traffic Simulation and Optimization under Urban Mobility, (2020).
       
    • 123.
      Seufert, M.: Different Points of View: Impact of 3D Point Cloud Reduction on QoE of Rendered Images. , 12th International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland (virtual) (2020).
       
    • 124.
      Wassermann, S., Casas, P., Seufert, M., Wehner, N., Schüler, J., Hoßfeld, T.: How Good is your Mobile (Web) Surfing? SpeedIndex Inference from Encrypted Traffic, (2020).
       
    • 125.
      Davidson, P., Düking, P., Zinner, C., Sperlich, B., Hotho, A.: Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. Sensors. (2020).
       
    • 126.
      Landeck, M., Unruh, F., Lugrin, J.-L., Latoschik, M.E.: Metachron: A framework for time perception research in VR. Proceedings of the 26th ACM Conference on Virtual Reality Software and Technology (2020).
       
    • 127.
      Ganal, E., Bartl, A., Westermeier, F., Roth, D., Latoschik, M.E.: Developing a Study Design on the Effects of Different Motion Tracking Approaches on the User Embodiment in Virtual Reality. In: Hansen, C., Nürnberger, A., und Preim, B. (hrsg.) Mensch und Computer 2020. Gesellschaft für Informatik e.V (2020).
       
    • 128.
      Arseneva, E., Kleist, L., Klemz, B., Löffler, M., Schulz, A., Vogtenhuber, B., Wolff, A.: Representing Graphs by Polygons with Edge Contacts in 3D. In: Chaplick, S., Kindermann, P., und Wolff, A. (hrsg.) Proc. 36th European Workshop on Computational Geometry (EuroCG’20). S. 53:1– (2020).
       
    • 129.
      Hessenauer, L.: Classification of IoT Signaling Incidents, (2020).
       
    • 130.
      Kaufmann, M., Kratochvil, J., Lipp, F., Montecchiani, F., Raftopoulou, C., Valtr, P.: The Stub Resolution of 1-Planar Graphs. In: Rahman, M.S., Sadakane, K., und Sung, W.-K. (hrsg.) WALCOM: Algorithms and Computation. S. 170–182. Springer (2020).
       
    • 131.
      Davidson, P., Steininger, M., Lautenschlager, F., Kobs, K., Krause, A., Hotho, A.: Anomaly Detection in Beehives using Deep Recurrent Autoencoders. Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020). S. 142–149. SCITEPRESS – Science and Technology Publications, Lda (2020).
       
    • 132.
      Byrka, J., Lewandowski, M., Meesum, S.M., Spoerhase, J., Uniyal, S.: PTAS for Steiner Tree on Map Graphs. Proc. 14th Latin American Theoretical Informatics Symposium (LATIN’20) (2020).
       
    • 133.
      Oberdörfer, S., Heidrich, D., Latoschik, M.E.: Think Twice: The Influence of Immersion on Decision Making during Gambling in Virtual Reality. Proceedings of the 27th IEEE Virtual Reality conference (VR ’20). S. 483–492. IEEE, Atlanta, USA (2020).
       
    • 134.
      Bucher, K., Oberdörfer, S., Grafe, S., Latoschik, M.E.: Von Medienbeiträgen und Applikationen - ein interdisziplinäres Konzept zum Lehren und Lernen mit Augmented und Virtual Reality für die Hochschullehre. In: Knaus, T. und Merz, O. (hrsg.) Schnittstellen und Interfaces - Digitaler Wandel in Bildungseinrichtungen. S. 225–238. kopaed, Munich, Germany (2020).
       
    • 135.
      Byrka, J., Lewandowski, M., Spoerhase, J.: Approximating Node-Weighted k-MST on Planar Graphs. Theory of Computing Systems. (2020).
       
    • 136.
      Spangenberger, M.: Implementation and Evaluation of Content Encoding at Runtime for DASH Video Streaming, (2020).
       
    • 137.
      Carolin, W., Eisenmann, M., Latoschik, M.E., Grafe, S.: CoTeach – Connected Teacher Education. In: Schwaiger, M. (hrsg.) Boosting Virtual Reality in Learning. E.N.T.E.R (2020).
       
    • 138.
      Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Asynchronous Traffic Shaping for Lower Latency, (2020).
       
    • 139.
      Walter, J., Zink, J., Baumeister, J., Wolff, A.: Layered Drawing of Undirected Graphs with Generalized Port Constraints. 28th International Symposium on Graph Drawing and Network Visualization (GD 2020) (2020).
       
    • 140.
      Seufert, M., Wehner, N., Wieser, V., Casas, P., Capdehourat, G.: Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild. 16th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (2020).
       
    • 141.
      Glémarec, Y., Lugrin, J.-L., Bosser, A.-G., Cagniat, P., Buche, C., Latoschik, M.E.: Pushing Out the Classroom Walls: A Scalability Benchmark for a Virtual Audience Behaviour Model in Virtual Reality. (2020).
       
    • 142.
      Roth, D., Latoschik, M.E.: Construction of the Virtual Embodiment Questionnaire (VEQ). IEEE Transactions on Visualization and Computer Graphics. 1–1 (2020).
       
    • 143.
      Lindner, S., Latoschik, M.-E., Rittner, H.: Virtual Reality als Baustein in der Behandlung akuter und chronischer Schmerzen. AINS-Anästhesiologietextperiodcentered Intensivmedizintextperiodcentered Notfallmedizintextperiodcentered Schmerztherapie. 55, 549–561 (2020).
       
    • 144.
      Wassermann, S., Casas, P., Ben Houidi, Z., Huet, A., Seufert, M., Wehner, N., Schüler, J., Cai, S.-M., Shi, H., Xu, J., Hoßfeld, T., Rossi, D.: Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. 16th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (2020).
       
    • 145.
      Dworschak, N.-D.: Evaluating Temporal Impairments in Music Streaming, (2020).
       

    2019 [ nach oben ]

    • 1.
      Seufert, M.: QUICker or not? - an Empirical Analysis of QUIC vs TCP for Video Streaming QoE Provisioning. , 3rd International Workshop on Quality of Experience Management (QoE-Management), Paris, France (2019).
       
    • 2.
      Wassermann, S., Seufert, M., Casas, P., Li, G., Kuang, L.: I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic. 4th Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE). , Los Cabos, Mexico (2019).
       
    • 3.
      Zehe, A., Hettinger, L., Ernst, S., Hauptmann, C., Hotho, A.: Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. Proceedings of The 13th International Workshop on Semantic Evaluation. Association for Computational Linguistics (2019).
       
    • 4.
      Nogatz, F., Kübert, J., Seipel, D., Abreu, S.: Alexa, How Can I Reason with Prolog?. Proceedings of 8th Symposium on Languages, Applications, Technologies (SLATE). S. 17:1–17:9 (2019).
       
    • 5.
      Niebling, F.: Visualizing Orientations of Large Numbers of Photographs. Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents. S. 1–2. ACM, Nice, France (2019).
       
    • 6.
      Schwind, A., Haberzettl, L., Wamser, F., Hoßfeld, T.: QoE Analysis of Spotify Audio Streaming and App Browsing. 4th Internet-QoE Workshop: QoE-based Analysis and Management of Data Communication Networks (Internet-QoE’19) (2019).
       
    • 7.
      Maiwald, F., Henze, F., Bruschke, J., Niebling, F.: GEO-INFORMATION TECHNOLOGIES FOR A MULTIMODAL ACCESS ON HISTORICAL PHOTOGRAPHS AND MAPS FOR RESEARCH AND COMMUNICATION IN URBAN HISTORY. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-2/W11, 763–769 (2019).
       
    • 8.
      Lugrin, J.-L., Juchno, A., Schaper, P., Landeck, M., Latoschik, M.E.: Drone-Steering: A Novel VR Traveling Technique. In: of the 25th ACM Conference on Virtual Reality Software, P. und Technology (hrsg.) Proceedings of the 25th ACM Conference on Virtual Reality Software and Technology (2019).
       
    • 9.
      Obremski, D., Lugrin, J.-L., Schaper, P., Lugrin, B.: Non-Native Speaker Generation and Perception for Mixed-Cultural Settings. ACM International Conference on Intelligent Virtual Agents 2019. (2019).