piwik-script

Deutsch Intern
    Institute of Computer Science

    Publications

    Publications by authors of the Institute of Computer Science

    You will only find publications by authors who manage their list of publications on www.bibsonomy.org

    . (and member of www.bibsonomy.org/group/csuniwue)

    [ 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 top ]

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

    2020 [ to top ]

    • 1.
      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).
       
    • 2.
      Supervisor: Loh, F.: Demand Study and Performance Evaluation of Future Smart City Networks, (2020).
       
    • 3.
      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).
       
    • 4.
      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).
       
    • 5.
      Wehner, N.: Inferring Web QoE with Machine Learning from Encrypted Network Traffic. , 2nd KuVS Workshop on Machine Learning for Networking, Würzburg, Germany (2020).
       
    • 6.
      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).
       
    • 7.
      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. pp. 33–40. Association for Computing Machinery, Seattle, WA, USA (2020).
       
    • 8.
      Vomhoff, V.: Reliability of Crowdsourced Measurements, (2020).
       
    • 9.
      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., and Ortega, F. (eds.) VRST. pp. 29:1–29:11. ACM (2020).
       
    • 10.
      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).
       
    • 11.
      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).
       
    • 12.
      Stulier, N.: Characterisation of the APM in videogames using DOTA 2, (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. p. 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. p. 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.
      Khelloqi, S.: Data Augmentation for Machine Learning on Network Traffic, (2020).
       
    • 18.
      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). p. 707–708. IEEE (2020).
       
    • 19.
      Supervisor: Dietz, K.: Aufsetzen eines Tcpreplay-Servers, (2020).
       
    • 20.
      Schüler, J.: Flow Statistics Calculation in a Programmable Data Plane with P4, (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.
      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).
       
    • 25.
      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).
       
    • 26.
      Supervisor: Loh, F.: Studying the Live Streaming Behavior of Mobile Twitch.tv and YouTube, (2020).
       
    • 27.
      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. (ed.) Digital Cultural Heritage. p. 63–84. Springer International Publishing, Cham (2020).
       
    • 28.
      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).
       
    • 29.
      Hofmann, J.: Deep Reinforcement Learning for Configuration of Time-Sensitive-Networking, (2020).
       
    • 30.
      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).
       
    • 31.
      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. pp. 409–411. ACM (2020).
       
    • 32.
      Fischer, E., Zoller, D., Dallmann, A., Hotho, A.: Integrating Keywords into BERT4Rec for Sequential Recommendation. KI 2020: Advances in Artificial Intelligence. pp. 275–282. Springer International Publishing, Cham (2020).
       
    • 33.
      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).
       
    • 34.
      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). p. 636–644. IEEE (2020).
       
    • 35.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. eds.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Springer (2020).
       
    • 36.
      Dworschak, N.-D.: Evaluating Temporal Impairments in Music Streaming, (2020).
       
    • 37.
      Supervisor: Metzger, F.: Designing a Realistic Virtual AQM Testbench, (2020).
       
    • 38.
      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).
       
    • 39.
      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).
       
    • 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.
      Wodarczyk, S., Mammen, textbfSebastian von: Emergent Multiplayer Games. IEEE CoG ’20: Proceedings of the 2nd International Conference on Games. pp. 33–40. IEEE, Osaka, Japan (2020).
       
    • 42.
      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).
       
    • 43.
      Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. (2020).
       
    • 44.
      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. pp. 357–362 (2020).
       
    • 45.
      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).
       
    • 46.
      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., and Ra’s, Z.W. (eds.) Foundations of Intelligent Systems. p. 422–430. Springer International Publishing, Cham (2020).
       
    • 47.
      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).
       
    • 48.
      Schl"or, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Br"ubach, 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). p. 28–33. European Language Resources Association (ELRA), Marseille, France (2020).
       
    • 49.
      Wienrich, C., D"ollinger, 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).
       
    • 50.
      Tönsing, L.: Prediction of YouTube’s Chunk Request from Monitored Encrypted Network Traffic, (2020).
       
    • 51.
      Seufert, M.: Statistical Methods and Models based on Quality of Experience Distributions. Quality and User Experience. 6, (2020).
       
    • 52.
      Borchert, K.: Estimating Quality of Experience of Enterprise Applications - A Crowdsourcing-based Approach, (2020).
       
    • 53.
      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).
       
    • 54.
      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., and Kagal, L. (eds.) The Semantic Web -- ISWC 2020. p. 456–473. Springer International Publishing, Cham (2020).
       
    • 55.
      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).
       
    • 56.
      Gray, N.: Evaluation of the Impact of Network Topologies and Applications on Synchronization Strategies of Distributed SDN Controllers, (2020).
       
    • 57.
      Büttner, J., Merz, C., von Mammen, S.: Horde Battle III or How to Dismantle a Swarm. 2020 IEEE Conference on Games (CoG). pp. 640–641. IEEE, Osaka, Japan (2020).
       
    • 58.
      Kindermann, P., Mchedlidze, T., Meulemans, W., Rutter, I.: Graph Drawing Contest Report. In: Auber, D. and Valtr, P. (eds.) 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. pp. 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. Presented at the (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.
      Janiak, L.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2020).
       
    • 64.
      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., and Ra’s, Z.W. (eds.) Foundations of Intelligent Systems. p. 431–439. Springer International Publishing, Cham (2020).
       
    • 65.
      Mertinat, N.: Impact of Content Selection on Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices, (2020).
       
    • 66.
      Aliev, E.: Evaluation of the Impact of Web Cross-Traffic on TCP and QUIC Video Streaming, (2020).
       
    • 67.
      Vetter, A., Götz, D., von Mammen, S.: The Art of Loci: Immerse to Memorize. 2020 IEEE Conference on Games (CoG). pp. 642–645. IEEE, Osaka, Japan (2020).
       
    • 68.
      Stauffert, J.-P., Niebling, F., Latoschik, M.E.: Latency and Cybersickness: Impact, Causes, and Measures. A Review. Frontiers in Virtual Reality. 1, 31 (2020).
       
    • 69.
      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. p. 1–9. ACM, Bugibba, Malta (2020).
       
    • 70.
      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).
       
    • 71.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. eds.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Springer (2020).
       
    • 72.
      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).
       
    • 73.
      Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).
       
    • 74.
      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).
       
    • 75.
      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).
       
    • 76.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. eds.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Springer (2020).
       
    • 77.
      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).
       
    • 78.
      Supervisor: Loh, F.: A Simulative Approach to Study the Coverage of LoRaWAN in Würzburg, (2020).
       
    • 79.
      Chaplick, S., Kindermann, P., L"offler, A., Thiele, F., Wolff, A., Zaft, A., Zink, J.: Stick Graphs with and without Length Constraints. Journal of Graph Algorithms & Applications. 25 pages (2020).
       
    • 80.
      Kargl, J.: Analysis of QoE Aspects of 3D Point Cloud Reduction, (2020).
       
    • 81.
      Hildebrand, K.: Impact of Rendering Times on the Perceived Loading Speed of Web Pages, (2020).
       
    • 82.
      Chaplick, S., F"orster, H., Kryven, M., Wolff, A.: Drawing Graphs with Circular Arcs and Right-Angle Crossings. In: Albers, S. (ed.) Proc. 17th Scand. Symp. and Workshops on Algorithm Theory (SWAT’20). p. 21:1–. Schloss Dagstuhl~-- Leibniz-Zentrum f"ur Informatik (2020).
       
    • 83.
      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).
       
    • 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. and Valtr, P. (eds.) 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.
      Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).
       
    • 89.
      Supervisor: Loh, F.: Analyzing the Streaming Behavior of the Amazon Echo Show, (2020).
       
    • 90.
      Gall, D., Latoschik, M.E.: Visual angle modulates affective responses to audiovisual stimuli. Computers in Human Behavior. 109, 106346 (2020).
       
    • 91.
      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). pp. 545–546. IEEE, Atlanta, GA, USA, USA (2020).
       
    • 92.
      Supervisor: Loh, F.: Studying the Scalability of LoRaWAN with Omnet++, (2020).
       
    • 93.
      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).
       
    • 94.
      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).
       
    • 95.
      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). pp. 142–149. SCITEPRESS – Science and Technology Publications, Lda (2020).
       
    • 96.
      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).
       
    • 97.
      Hessenauer, L.: Classification of IoT Signaling Incidents, (2020).
       
    • 98.
      Raffeck, S.: Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions, (2020).
       
    • 99.
      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).
       
    • 100.
      Plesker, F.: Simulation of a 5G Network Infrastructure, (2020).
       
    • 101.
      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).
       
    • 102.
      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).
       
    • 103.
      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).
       
    • 104.
      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).
       
    • 105.
      Spoerhase, J., Storandt, S., Zink, J.: Simplification of Polyline Bundles. Proc. 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT’20) (2020).
       
    • 106.
      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).
       
    • 107.
      Evans, W., Gethner, E., Spalding-Jamieson, J., Wolff, A.: Angle Covers: Algorithms and Complexity. In: Rahman, S., Sadakane, K., and Sung, W.-K. (eds.) Proc. 14th Int. Workshop Algorithms Comput. (WALCOM’20). p. 94–106. Springer-Verlag (2020).
       
    • 108.
      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).
       
    • 109.
      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).
       
    • 110.
      Supervisor: Loh, F.: Use Case Study of the Transmission Behavior of an Application Using LoRaWAN, (2020).
       
    • 111.
      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).
       
    • 112.
      Arslanian, A.: QoE Study for Compatible Video and Web Browsing QoE Models, (2020).
       
    • 113.
      Korger, A., Baumeister, J.: Construction of a Corpus for the Evaluation of Textual Case-based Reasoning Architectures. LWDA 2020 -- Lernen, Wissen, Daten, Analysen (2020).
       
    • 114.
      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).
       
    • 115.
      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).
       
    • 116.
      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).
       
    • 117.
      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).
       
    • 118.
      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., and Doulamis, A. (eds.) Visual Computing for Cultural Heritage. pp. 391–408. Springer, Cham (2020).
       
    • 119.
      Wehner, N., Mertinat, N., Seufert, M., Hoßfeld, T.: Studying the Impact of the Content Selection Method on the Video QoE on Mobile Devices, (2020).
       
    • 120.
      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. pp. 573–579 (2020).
       
    • 121.
      Supervisor: Metzger, F.: Design and Evaluation of a Cloud Gaming Crowdsourcing Study, (2020).
       
    • 122.
      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).
       
    • 123.
      Supervisor: Metzger, F.: Vehicular and Wireless Traffic Simulation and Optimization under Urban Mobility, (2020).
       
    • 124.
      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).
       
    • 125.
      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).
       
    • 126.
      Supervisor: Loh, F.: Solving the Collision Problem with Aggregation? A Measurement Driven LoRaWAN Study., (2020).
       
    • 127.
      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).
       
    • 128.
      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., and Preim, B. (eds.) Mensch und Computer 2020. Gesellschaft für Informatik e.V (2020).
       
    • 129.
      Arseneva, E., Kleist, L., Klemz, B., L"offler, M., Schulz, A., Vogtenhuber, B., Wolff, A.: Representing Graphs by Polygons with Edge Contacts in 3D. In: Chaplick, S., Kindermann, P., and Wolff, A. (eds.) Proc. 36th European Workshop on Computational Geometry (EuroCG’20). p. 53:1– (2020).
       
    • 130.
      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).
       
    • 131.
      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., and Sung, W.-K. (eds.) WALCOM: Algorithms and Computation. p. 170–182. Springer (2020).
       
    • 132.
      Firman, O., Felsner, S., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: The Complexity of Finding Tangles. In: Chaplick, S., Kindermann, P., and Wolff, A. (eds.) Proc. 36th European Workshop on Computational Geometry (EuroCG’20). p. 67:1– (2020).
       
    • 133.
      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).
       
    • 134.
      Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Asynchronous Traffic Shaping for Lower Latency, (2020).
       
    • 135.
      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. and Merz, O. (eds.) Schnittstellen und Interfaces - Digitaler Wandel in Bildungseinrichtungen. pp. 225–238. kopaed, Munich, Germany (2020).
       
    • 136.
      Byrka, J., Lewandowski, M., Spoerhase, J.: Approximating Node-Weighted k-MST on Planar Graphs. Theory of Computing Systems. (2020).
       
    • 137.
      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). pp. 483–492. IEEE, Atlanta, USA (2020).
       
    • 138.
      Carolin, W., Eisenmann, M., Latoschik, M.E., Grafe, S.: CoTeach – Connected Teacher Education. In: Schwaiger, M. (ed.) Boosting Virtual Reality in Learning. E.N.T.E.R (2020).
       
    • 139.
      Spangenberger, M.: Implementation and Evaluation of Content Encoding at Runtime for DASH Video Streaming, (2020).
       
    • 140.
      Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Timed Gates for Predictable Latency in Dynamic Networks, (2020).
       
    • 141.
      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).
       
    • 142.
      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).
       
    • 143.
      Roth, D., Latoschik, M.E.: Construction of the Virtual Embodiment Questionnaire (VEQ). IEEE Transactions on Visualization and Computer Graphics. 1–1 (2020).
       
    • 144.
      Lindner, S., Latoschik, M.-E., Rittner, H.: Virtual Reality als Baustein in der Behandlung akuter und chronischer Schmerzen. AINS-An"asthesiologietextperiodcentered Intensivmedizintextperiodcentered Notfallmedizintextperiodcentered Schmerztherapie. 55, 549–561 (2020).
       
    • 145.
      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).
       
    • 146.
      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).
       

    2019 [ to top ]

    • 1.
      Metzger, F., Hoßfeld, T., Bauer, A., Kounev, S., Heegaard, P.E.: Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud. Proceedings of the IEEE. 107, 679–694 (2019).
       
    • 2.
      Koopmann, T., Dallmann, A., Hettinger, L., Niebler, T., Hotho, A.: On the Right Track! Analysing and Predicting Navigation Success in Wikipedia. In: Atzenbeck, C., Rubart, J., and Millard, D.E. (eds.) Proceedings of the 30th ACM Conference on Hypertext and Social Media. p. 143–152. ACM, Hof, Germany (2019).
       
    • 3.
      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).
       
    • 4.
      Ewald, M.: Observing Changes in Machine Learning Behavior from Input Latency in Games, (2019).
       
    • 5.
      Rosenberger, A.: Using In-Band Network Telemetry for Automatic QoS Optimization in SDNs, (2019).
       
    • 6.
      Grigorjew, A., Metzger, F., Hoßfeld, T., Specht, J.: A Simulation of Asynchronous Traffic Shapers in Switched Ethernet Networks. Workshop for Advanced Communication Networks for Industrial Applications (2019).
       
    • 7.
      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).