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).

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    in press 2020 [ nach oben ]

    • Truman, S., Mammen, textbfS. 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. IEEE, Bugibba, Malta (in press 2020).
       
    • Wodarczyk, S., Mammen, textbfS. von: Emergent Multiplayer Games. IEEE CoG '20: Proceedings of the 2nd International Conference on Games. IEEE, Osaka, Japan (in press 2020).
       
    • Ziegler, P., Mammen, textbfS. von: Generating Real-Time Strategy Heightmaps using Cellular Automata. FDG '20: Proceedings of the 15th International Conference on the Foundations of Digital Games. IEEE, Bugibba, Malta (in press 2020).
       

    2020 [ nach oben ]

    • 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).
       
    • 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).
       
    • 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).
       
    • Supervisor: Seufert, M.: Data Augmentation for Machine Learning on Network Traffic, (2020).
       
    • 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).
       
    • Gray, N.: Evaluation of the Impact of Network Topologies and Applications on Synchronization Strategies of Distributed SDN Controllers, (2020).
       
    • Gray, N.: Evaluation of Offloading Firewall Rules with P4, (2020).
       
    • Wieser, V.: Measurement Box for Bandwidth Traces under Mobility, (2020).
       
    • Supervisor: Seufert, M.: QoE Study for Session-based Web Browsing, (2020).
       
    • 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/s00784-020-03417-y (2020).
       
    • 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).
       
    • 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).
       
    • Supervisor: Loh, F.: Demand Study and Performance Evaluation of Future Smart City Networks, (2020).
       
    • Supervisor: Loh, F.: Solving the Collision Problem with Aggregation? A Measurement Driven LoRaWAN Study., (2020).
       
    • 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).
       
    • Supervisor: Metzger, F.: Vehicular and Wireless Traffic Simulation and Optimization under Urban Mobility, (2020).
       
    • 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).
       
    • 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).
       
    • Supervisor: Metzger, F.: Design and Evaluation of a Cloud Gaming Crowdsourcing Study, (2020).
       
    • Wehner, N., Mertinat, N., Seufert, M., Hoßfeld, T.: Studying the Impact of the Content Selection Method on the Video QoE on Mobile Devices, (2020).
       
    • Supervisor: Wehner, N.: QoE Study for Compatible Video and Web Browsing QoE Models, (2020).
       
    • 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).
       
    • Supervisor: Wamser, F.: Blockchain in communication networks, (2020).
       
    • 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).
       
    • Supervisor: Wamser, F.: Bewertung und Analyse von 5G-Mobilfunk: Large-scale Monitoring-Lösungen und -Konzepte zur Bestimmung der Leistung von 5G, (2020).
       
    • Wamser, F.: Bewertung und Analyse von 5G-Mobilfunk: Grundlagen zu Crowdsourcing-basierten 5G-Mobilfunkmessungen, (2020).
       
    • Supervisor: Wamser, F.: Aufbau eines Blockchain-Testbeds, (2020).
       
    • 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).
       
    • Hofmann, J.: Deep Reinforcement Learning for Configuration of Time-Sensitive-Networking, (2020).
       
    • 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).
       
    • 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).
       
    • Spangenberger, M.: HTTP Adaptive Video Streaming with Real-Time Encoding and Continuous Quality Levels, (2020).
       
    • Supervisor: Metzger, F.: Profiling the E2E Delays of Streamed Video Games with the Camera Method, (2020).
       
    • Supervisor: Seufert, M.: Estimating QoE of Web Browsing in the Network, (2020).
       
    • Supervisor: Wehner, N.: Real-Time Machine Learning Pipeline for Web QoE Monitoring, (2020).
       
    • Supervisor: Seufert, M.: Characterization of Browsing Sessions, (2020).
       
    • 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).
       
    • Korger, A., Baumeister, J.: Construction of a Corpus for the Evaluation of Textual Case-based Reasoning Architectures. LWDA 2020 -- Lernen, Wissen, Daten, Analysen (2020).
       
    • 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).
       
    • 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).
       
    • Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2020).
       
    • 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).
       
    • 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).
       
    • Casas, P., Ben Houidi, Z., Wassermann, S., 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).
       
    • Supervisor: Seufert, M.: Algorithms Towards Proactive QoE-aware Traffic Management, (2020).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Mertinat, N.: Impact of Content Selection on Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices, (2020).
       
    • Supervisor: Seufert, M.: Transfer Learning Approaches for QoE Monitoring of Encrypted Video Streaming Traffic, (2020).
       
    • 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).
       
    • Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).
       
    • Fischer, E., Zoller, D., Dallmann, A., Hotho, A.: Integrating Keywords into BERT4Rec for Sequential Recommendation. KI 2020: Advances in Artificial Intelligence (2020).
       
    • Supervisor: Seufert, A.: Evaluating the Influence of the Measurement Design on Mobile Video Streaming Behavior, (2020).
       
    • 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).
       
    • 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).
       
    • Supervisor: Borchert, K.: Analysis and Correlation of objective and subjective Performance Data of an Enterprise Application, (2020).
       
    • Wehner, N.: Inferring Web QoE with Machine Learning from Encrypted Network Traffic. , 2nd KuVS Workshop on Machine Learning for Networking, Würzburg, Germany (2020).
       
    • 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).
       
    • Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. WAIN - Workshop on AI in Networks and Distributed Systems. , Milan, Italy (2020).
       
    • Schüler, J.: QoE Montitoring of HTTP Adaptive Video Streaming on 100Gbps-P4-Switches, (2020).
       
    • Roth, D., Latoschik, M.E.: Construction of the Virtual Embodiment Questionnaire (VEQ). IEEE Transactions on Visualization and Computer Graphics. 1-1 (2020).
       
    • Aliev, E.: Evaluation of the Impact of Cross-Traffic on TCP and QUIC Video Streaming and Web Browsing, (2020).
       
    • Supervisor: Wamser, F.: Analyse von Video Streaming-Konzepten, (2020).
       
    • 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).
       
    • 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).
       
    • Raffeck, S.: Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions, (2020).
       
    • 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).
       
    • Janiak, L.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2020).
       
    • Dworschak, N.-D.: Evaluating Temporal Impairments in Music Streaming, (2020).
       
    • Supervisor: Metzger, F.: Measuring the Effectiveness of Latency Mitigation Methods with a Prototype Video Game, (2020).
       
    • Supervisor: Metzger, F.: Examining the Netcode of Old, Open-sourced Video Games, (2020).
       
    • Supervisor: Wamser, F.: Blockchain in cloud and communication networks, (2020).
       
    • Supervisor: Metzger, F.: Designing a Realistic Virtual AQM Testbench, (2020).
       
    • Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Timed Gates for Predictable Latency in Dynamic Networks, (2020).
       
    • 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).
       
    • Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Asynchronous Traffic Shaping for Lower Latency, (2020).
       
    • Supervisor: Seufert, A.: QoE Estimation of Music Streaming in the Network, (2020).
       
    • 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).
       
    • Supervisor: Geissler, S.: Classification of IoT Signaling Incidents, (2020).
       
    • 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).
       
    • Supervisor: Loh, F.: Studying the Live Streaming Behavior of Mobile Twitch.tv and YouTube, (2020).
       
    • Supervisor: Wehner, N.: Deep Learning for QoE Estimation, (2020).
       
    • Supervisor: Wehner, N.: Implementation of a Low Latency QoE Fair HAS Logic, (2020).
       
    • 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).
       
    • Spoerhase, J., Storandt, S., Zink, J.: Simplification of Polyline Bundles. Proc. 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT'20) (2020).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Plesker, F.: Simulation of a 5G Network Infrastructure, (2020).
       
    • Supervisor: Geissler, S.: Simulating IoT Interpolation Mechanisms to Improve Application Layer Information Quality, (2020).
       
    • 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).
       
    • Firman, O., Felsner, S., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: The Complexity of Finding Tangles. In: Chaplick, S., Kindermann, P., und Wolff, A. (hrsg.) Proc. 36th European Workshop on Computational Geometry (EuroCG'20). S. 67:1--8 (2020).
       
    • Wamser, F., Alay, Ö., 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).
       
    • 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).
       
    • 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).
       
    • Byrka, J., Lewandowski, M., Spoerhase, J.: Approximating Node-Weighted k-MST on Planar Graphs. Theory of Computing Systems. (2020).
       
    • Hildebrand, K.: Impact of Rendering Times on the Perceived Loading Speed of Web Pages, (2020).
       
    • 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).
       
    • Supervisor: Seufert, A.: Crowdsourced Network Measurements: Evaluation and Applicability for 5G, (2020).
       
    • 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).
       
    • Supervisor: Loh, F.: Analysis of the Live Streaming Behavior of Twitch, (2020).
       
    • Supervisor: Loh, F.: Measurement Driven Investigation of the Twitch.tv Streaming Behavior, (2020).
       
    • 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).
       
    • 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).
       
    • Kargl, J.: Analysis of QoE Aspects of 3D Point Cloud Reduction, (2020).
       
    • Gall, D., Latoschik, M.E.: Visual angle modulates affective responses to audiovisual stimuli. Computers in Human Behavior. 109, 106346 (2020).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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--8 (2020).
       
    • 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).
       
    • 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--21:14. Schloss Dagstuhl~-- Leibniz-Zentrum für Informatik (2020).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Supervisor: Loh, F.: Use Case Study of the Transmission Behavior of an Application Using LoRaWAN, (2020).
       
    • Supervisor: Loh, F.: Studying the Scalability of LoRaWAN with Omnet++, (2020).
       
    • Supervisor: Loh, F.: Analyzing the Streaming Behavior of the Amazon Echo Show, (2020).
       
    • Supervisor: Loh, F.: A Simulative Approach to Study the Coverage of LoRaWAN in Würzburg, (2020).
       
    • Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).
       
    • Fehler, H.: Comparison of Web QoE Algorithms on Different Devices, (2020).
       
    • 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).
       
    • Halloway, M.: Evaluating the QoE of Music Streaming Applications, (2020).
       
    • Supervisor: Seufert, A.: Investigating the QoE of Mobile Instant Messaging, (2020).
       
    • 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).
       

    2019 [ nach oben ]

    • Niebling, F., Haas, M., Blessing, A.´: Integration of Services for Software Development in DH: A Case Study of Image Classification using Convolutional Neural Networks. In: Draude, C., Lange, M., und Sick, B. (hrsg.) INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge). S. 163-168. Gesellschaft für Informatik e.V., Bonn (2019).
       
    • Lammers, S., Bente, G., Tepest, R., Jording, M., Roth, D., Vogeley, K.: Introducing ACASS: An Annotated Character Animation Stimulus Set for Controlled (e)Motion Perception Studies. Frontiers in Robotics and AI. 6, 94 (2019).
       
    • Angelini, P., Bekos, M., Didimo, W., Grilli, L., Kindermann, P., Mchedlidze, T., Prutkin, R., Symvonis, A., Tappini, A.: Greedy Rectilinear Drawings. Theoretical Computer Science. (2019).
       
    • Biedl, T., Biniaz, A., Irvine, V., Jain, K., Kindermann, P., Lubiw, A.: Maximum Matchings and Minimum Blocking Sets in \($\Theta_6$\)-Graphs. In: Sau, I. und Thilikos, D.M. (hrsg.) Proceedings of the 45th International Workshop on Graph-Theoretic Concepts in Computer Science (WG'19). S. 258--270. Springer-Verlag (2019).
       
    • Chimani, M., Kindermann, P., Montecchiani, F., Valtr, P.: Crossing Numbers of Beyond-Planar Graphs. In: Archambault, D. und Tóth, C.D. (hrsg.) Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD'19). Springer-Verlag (2019).
       
    • Biedl, T., Kindermann, P.: Finding Tutte Paths in Linear Time. In: Baier, C., Chatzigiannakis, I., Flocchini, P., und Leonardi, S. (hrsg.) Proceedings of the 46th International Colloquium on Automata, Languages, and Programming (ICALP'19). S. 23:1--23:14. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik (2019).
       
    • Firman, O., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: Computing Optimal Tangles Faster. In: Löffler, M. (hrsg.) Proceedings of the 35th European Workshop on Computational Geometry (EuroCG'19). Utrecht (2019).
       
    • Biedl, T., Biniaz, A., Irvine, V., Jain, K., Kindermann, P., Lubiw, A.: Maximum Matchings and Minimum Blocking Sets in \($\Theta_6$\)-Graphs. In: Löffler, M. (hrsg.) Proceedings of the 35th European Workshop on Computational Geometry (EuroCG'19). Utrecht (2019).
       
    • Kindermann, P., Mchedlidze, T., Rutter, I.: Graph Drawing Contest Report. In: Archambault, D. und Tóth, C.D. (hrsg.) Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD'19). Springer-Verlag (2019).
       
    • Roth, D., Bente, G., Kullmann, P., Mal, D., Purps, C.F., Vogeley, K., Latoschik, M.E.: Technologies for Social Augmentations in User-Embodied Virtual Reality. 25th ACM Symposium on Virtual Reality Software and Technology (VRST). S. 1-12 (2019).
       
    • Firman, O., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: Computing Optimal Tangles Faster. In: Cheng, S.-W. (hrsg.) Proceedings of the 12th Annual Meeting of the Asian Association for Algorithms and Computation (AAAC'19). Seoul (2019).
       
    • Winter, C., Kern, F., Käthner, I., Gall, D., Latoschik, M.E., Pauli, P.: Virtuelle Realität als Ergänzung des Laufbandtrainings zur Rehabilitation von Gangstörungen bei Patienten mit Schlaganfall und Multipler Sklerose. (2019).
       
    • Lugrin, J.-L., Kern, F., Kleinbeck, C., Roth, D., Daxery, C., Feiglz, T., Mutschlery, C., Latoschik, M.E.: A Framework for Location-Based VR Applications. Proceedings of the GI VR/AR - Workshop (2019).
       
    • Wassermann, S., Casas, P., Seufert, M., Wamser, F.: On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements. 12th IFIP Wireless and Mobile Networking Conference (WMNC). , Paris, France (2019).
       
    • Reynolds, R.M., Novotny, E., Lee, J., Roth, D., Bente, G.: Ambiguous Bodies: The Role of Displayed Arousal in Emotion [Mis]Perception. Journal of Nonverbal Behavior. (2019).
       
    • Seufert, M.: Research Activities Report for "Managing Web & Cloud QoE TF". , 13th Qualinet General Meeting, Berlin, Germany (2019).
       
    • Seufert, M.: Fundamental Advantages of Considering Quality of Experience Distributions over Mean Opinion Scores. , 11th International Conference on Quality of Multimedia Experience (QoMEX), Berlin, Germany (2019).
       
    • Seufert, M.: Is QUIC becoming the New TCP? On the Potential Impact of a New Protocol on Networked Multimedia QoE. , 11th International Conference on Quality of Multimedia Experience (QoMEX), Berlin, Germany (2019).
       
    • Firman, O., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: Computing Height-Optimal Tangles Faster. In: Archambault, D. und Tóth, C.D. (hrsg.) Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD'19). Springer-Verlag (2019).
       
    • Kindermann, P., Mchedlidze, T., Schneck, T., Symvonis, A.: Drawing Planar Graphs with Few Segments on a Polynomial Grid. In: Archambault, D. und Tóth, C.D. (hrsg.) Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD'19). Springer-Verlag (2019).
       
    • Geißler, S., Prantl, T., Lange, S., Wamser, F., Hoßfeld, T.: Discrete-Time Analysis of the Blockchain Distributed Ledger Technology. 31st International Teletraffic Congress (ITC). , Budapest, Hungary (2019).
       
    • Geiger, A., Bente, G., Lammers, S., Tepest, R., Roth, D., Bzdok, D., Vogeley, K.: Distinct functional roles of the mirror neuron system and the mentalizing system. NeuroImage. 202, 116102 (2019).
       
    • 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).
       
    • Simonovski, F.: Studying the Video Segmentation for different Streaming Platforms, (2019).
       
    • Gray, N., Grigorjew, A., Hoßfeld, T., Shukla, A., Zinner, T.: Gray, Nicholas, et al. "Highlighting the Gap Between Expected and Actual Behavior in P4-enabled Networks. IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (2019).
       
    • Orsolic, I., Skorin-Kapov, L., Hoßfeld, T.: To Share or Not to Share? How Exploitation of Context Data Can Improve In-Network QoE Monitoring of Encrypted YouTube Streams. 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX) (QoMEX 2019) (2019).
       
    • Hirth, M., Borchert, K., Allendorf, F., Metzger, F., Hoßfeld, T.: Crowd-based Study of Gameplay Impairments and Player Performance in DOTA 2. 4th Internet-QoE Workshop: QoE-based Analysis and Management of Data Communication Networks (Internet-QoE'19). , Los Cabos, Mexico (2019).
       
    • Oberdörfer, S., Latoschik, M.E.: Predicting Learning Effects of Computer Games Using the Gamified Knowledge Encoding Model. Entertainment Computing. 32, 100315 (2019).
       
    • Roth, D., Brübach, L., Westermeier, F., Schell, C., Feigl, T., Latoschik, M.E.: A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data. Symposium on Spatial User Interaction (SUI '19), October 19--20, 2019, New Orleans, LA, USA (2019).
       
    • Korger, A., Baumeister, J.: Case-Based Retrieval and Adaptation of Regulatory Documents and their Context. Proceedings of LWDA - Lernen. Wissen. Daten. Analysen 2019. S. 292-303. , Humboldt-Universität zu Berlin (2019).
       
    • Kindermann, P., Kobourov, S., Löffler, M., Nöllenburg, M., Schulz, A., Vogtenhuber, B.: Lombardi Drawings of Knots and Links. Journal of Computational Geometry. (2019).
       
    • Baumeister, J., Sehne, V., Wienrich, C.: A Systematic View on Speech Assistants for Service Technicians. Proceedings of LWDA - Lernen. Wissen. Daten. Analysen 2019. S. 195-206. , Humboldt-Universität zu Berlin (2019).
       
    • Kalmbach, P., Hock, D., Lipp, F., Kellerer, W., Blenk, A.: NOracle: Who is communicating with whom in my network? SIGCOMM Posters and Demos. S. 48-50. ACM (2019).
       
    • Chaplick, S., Lipp, F., Wolff, A., Zink, J.: Compact drawings of 1-planar graphs with right-angle crossings and few bends. Comput. Geom. 84, 50-68 (2019).
       
    • von Mammen, S., Müller, A., Latoschik, M.E., Botsch, M., Brukamp, K., Schröder, C., Wacker, M.: VIA VR: A Technology Platform for Virtual Adventures for Healthcare and Well-Being. VS-Games. S. 1-2 (2019).
       
    • Loh, F., Wamser, F., Moldovan, C., Zeidler, B., Hoßfeld, T., Tsilimantos, D., Valentin, S.: From click to playback: a dataset to study the response time of mobile YouTube. Proceedings of the 10th ACM Multimedia Systems Conference. S. 267-272 (2019).
       
    • Loh, F., Vomhoff, V., Wamser, F., Metzger, F., Hoßfeld, T.: Traffic Measurement Study on Video Streaming with the Amazon Echo Show. 4th Internet-QoE Workshop: QoE-based Analysis and Management of Data Communication Networks (2019).
       
    • Leidinger, F.: Studing the Initial Delay of the YouTube Mobile App with TensorFlow, (2019).
       
    • Schmitt, J., Lugrin, J.-L., Carolin, and W., Latoschik, M.E.: Investigating Gesture-based Commands for First-Person Shooter Games in Virtual Reality. Proceedings of User-embodied Interaction in Virtual Reality, Mensch und Computer 2019 (2019).
       
    • Ring, M., Schlör, D., Landes, D., Hotho, A.: Flow-based network traffic generation using Generative Adversarial Networks. Computers & Security. 82, 156 - 172 (2019).
       
    • Biskup, F.: IoT-Datenanalyse im Smart City-Kontext, (2019).
       
    • Borchert, K., Hirth, M., Stellzig-Eisenhauer, A., Kunz, F.: Crowd-based Assessment of Deformational Cranial Asymmetries. International Workshop on Crowd-Powered e-Services (CROPS). , Trondheim, Norway (2019).
       
    • Biedl, T., Felsner, S., Meijer, H., Wolff, A.: Line and Plane Cover Numbers Revisited. In: Archambault, D. und Tóth, C.D. (hrsg.) Proc. 27th Int. Symp. Graph Drawing & Network Vis. (GD'19). S. 409--415. Springer-Verlag (2019).
       
    • Nogatz, F., Körner, P., Krings, S.: Prolog Coding Guidelines: Status and Tool Support. Technical Communications of the 35th International Conference on Logic Programming (ICLP) (2019).
       
    • Chaplick, S., Kindermann, P., Löffler, A., Thiele, F., Wolff, A., Zaft, A., Zink, J.: Stick Graphs with Length Constraints. In: Archambault, D. und Tóth, C.D. (hrsg.) Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD'19). Springer-Verlag (2019).
       
    • Haberzettl, L.: QoS Assessments of Spotify’s Mobile Application for Audio Streaming, (2019).
       
    • Löffler, D., Tscharn, R., Schaper, P., Hollenbach, M., Mocke, V.: Tight Times: Semantics and Distractibility of Pneumatic Compression Feedback for Wearable Devices. Proceedings of Mensch und Computer 2019. ACM (2019).
       
    • Evans, W., Rzka.zewski, P., Saeedi, N., Shin, C.-S., Wolff, A.: Representing Graphs and Hypergraphs by Touching Polygons in 3D. In: Archambault, D. und Tóth, C.D. (hrsg.) Proc. 27th Int. Symp. Graph Drawing & Network Vis. (GD'19). S. 18--32. Springer-Verlag (2019).
       
    • Chaplick, S., Förster, H., Kryven, M., Wolff, A.: On Arrangements of Orthogonal Circles. In: Archambault, D. und Tóth, C.D. (hrsg.) Proc. 27th Int. Symp. Graph Drawing & Network Vis. (GD'19). S. 216--229. Springer-Verlag (2019).
       
    • Wolff, A., Arseneva, E., de Mesmay, A., Kleist, L., Klemz, B., Löffler, M., Schulz, A., Vogtenhuber, B.: Representing Graphs by Polygons with Edge Contacts in 3D, https://drops.dagstuhl.de/opus/volltexte/2019/11773, (2019).
       
    • Schulz, A., Wolff, A.: Survey on Graph and Hypergraph Drawing, (2019).
       
    • Wolf, E., Heinrich, R., Michalek, A., Schraudt, D., Hohm, A., Hein, R., Grundgeiger, T., Happel, O.: Rapid Preparation of Eye Tracking Data for Debriefung in Medical Training: A Feasibility Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. S. 733-737 (2019).
       
    • Chaplick, S., van Dijk, T.C., Kryven, M., Park, J.-W., Ravsky, A., Wolff, A.: Bundled Crossings Revisited. In: Archambault, D. und Tóth, C.D. (hrsg.) Proc. 27th Int. Symp. Graph Drawing & Network Vis. (GD'19). S. 63--77. Springer-Verlag (2019).
       
    • Haunert, J.-H., Akitaya, H., Cornelsen, S., Kindermann, P., Mchedlidze, T., Nöllenburg, M., Okamoto, Y., Wolff, A.: Clustering Colored Points in the Plane, http://drops.dagstuhl.de/opus/volltexte/2019/11380/, (2019).
       
    • Chaplick, S., Lipp, F., Wolff, A., Zink, J.: Compact Drawings of 1-Planar Graphs with Right-Angle Crossings and Few Bends. Computational Geometry: Theory and Applications. 84, 50--68 (2019).
       
    • Okamoto, Y., Ravsky, A., Wolff, A.: Variants of the Segment Number of a Graph. In: Archambault, D. und Tóth, C.D. (hrsg.) Proc. 27th Int. Symp. Graph Drawing & Network Vis. (GD'19). S. 430--443. Springer-Verlag (2019).
       
    • Fabrikant, S.I., Miksch, S., Wolff, A. hrsg: Visual Analytics for Sets over Time and Space. Schloss Dagstuhl~-- Leibniz-Zentrum für Informatik (2019).
       
    • Kryven, M., Ravsky, A., Wolff, A.: Drawing Graphs on Few Circles and Few Spheres. Journal of Graph Algorithms & Applications. 23, 371--391 (2019).