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    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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    2020 [ nach oben ]

    • 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). (2020).
       
    • Spoerhase, J., Storandt, S., Zink, J.: Simplification of Polyline Bundles. Proc. 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT'20) (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).
       
    • 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).
       
    • 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).
       
    • Supervisor: Geissler, S.: Simulating IoT Interpolation Mechanisms to Improve Application Layer Information Quality, (2020).
       
    • Plesker, F.: Simulation of a 5G Network Infrastructure, (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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Dworschak, N.-D.: Evaluating Temporal Impairments in Music Streaming, (2020).
       
    • Supervisor: Wehner, N.: Deep Learning for QoE Estimation, (2020).
       
    • Supervisor: Wehner, N.: Implementation of a Low Latency QoE Fair HAS Logic, (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).
       
    • 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).
       
    • Raffeck, S.: Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions, (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: Schwind, A.: QoE Estimation of Music Streaming in the Network, (2020).
       
    • Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Asynchronous Traffic Shaping for Lower Latency, (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).
       
    • Hofmann, J.: Reinforcement Learning for Configuration of Time-Sensitive-Networking, (2020).
       
    • Supervisor: Metzger, F.: Designing a Realistic Virtual AQM Testbench, (2020).
       
    • Gray, N.: Evaluation of Offloading Firewall Rules with P4, (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: Seufert, M.: QoE Study for Session-based Web Browsing, (2020).
       
    • Supervisor: Seufert, M.: Estimating QoE of Web Browsing in the Network, (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).
       
    • 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).
       
    • Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2020).
       
    • Supervisor: Seufert, M.: Measurement Box for Bandwidth Traces under Mobility, (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).
       
    • 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).
       
    • Aliev, E.: Evaluation of the Impact of Cross-Traffic on TCP and QUIC Video Streaming and Web Browsing, (2020).
       
    • Supervisor: Borchert, K.: Analysis and Correlation of objective and subjective Performance Data of an Enterprise Application, (2020).
       
    • Supervisor: Seufert, M.: Transfer Learning Approaches for QoE Monitoring of Encrypted Video Streaming Traffic, (2020).
       
    • Gray, N.: Evaluation of the Impact of Network Topologies and Applications on Synchronization Strategies of Distributed SDN Controllers, (2020).
       
    • Supervisor: Seufert, M.: Characterization of Browsing Sessions, (2020).
       
    • Supervisor: Seufert, M.: Algorithms Towards Proactive QoE-aware Traffic Management, (2020).
       
    • Mertinat, N.: Impact of Content Selection on Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices, (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).
       
    • 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).
       
    • Supervisor: Grigorjew, A.: Configuring Stream Aggregates with Timed Gates for Predictable Latency in Dynamic Networks, (2020).
       
    • Supervisor: Wamser, F.: Performance evaluation of distributed ledger technologies in networking, (2020).
       
    • Supervisor: Loh, F.: Use Case Study of the Transmission Behavior of an Application Using LoRaWAN, (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).
       
    • Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).
       
    • Supervisor: Loh, F.: A Simulative Approach to Study the Coverage of LoRaWAN in Würzburg, (2020).
       
    • Supervisor: Loh, F.: Analyzing the Streaming Behavior of the Amazon Echo Show, (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).
       
    • Supervisor: Loh, F.: Studying the Scalability of LoRaWAN with Omnet++, (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).
       
    • 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).
       
    • 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).
       
    • Supervisor: Schwind, A.: Investigating the QoE of Mobile Instant Messaging, (2020).
       
    • Wehner, N., Seufert, M., Wassermann, S., Casas, P., Hoßfeld, T.: 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).
       
    • 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).
       
    • Loh, F.: Analysis of the Live Streaming Behavior of Twitch, (2020).
       
    • Loh, F.: Measurement Driven Investigation of the Twitch.tv Streaming Behavior, (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).
       
    • 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).
       
    • Halloway, M.: Evaluating the QoE of Music Streaming Applications, (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).
       
    • Supervisor: Metzger, F.: Profiling the E2E Delays of Streamed Video Games with the Camra Method, (2020).
       
    • Janiak, L.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2020).
       
    • Supervisor: Metzger, F.: Examining the Netcode of Old, Open-sourced Video Games, (2020).
       
    • Supervisor: Metzger, F.: Measuring the Effectiveness of Latency Mitigation Methods with a Prototype Video Game, (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).
       
    • Loh, F.: Studying the Live Streaming Behavior of Mobile Twitch.tv and YouTube, (2020).
       
    • Schüler, J.: QoE Montitoring of HTTP Adaptive Video Streaming on 100Gbps-P4-Switches, (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).
       
    • 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).
       
    • Supervisor: Geissler, S.: Classification of IoT Signaling Incidents, (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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Spangenberger, M.: HTTP Adaptive Video Streaming with Real-Time Encoding and Continuous Quality Levels, (2020).
       
    • Kargl, J.: Analysis of QoE Aspects of 3D Point Cloud Reduction, (2020).
       
    • Hildebrand, K.: Impact of Rendering Times on the Perceived Loading Speed of Web Pages, (2020).
       
    • Supervisor: Schwind, A.: Crowdsourced Network Measurements: Evaluation and Applicability for 5G, (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).
       
    • Supervisor: Seufert, M.: Data Augmentation for Machine Learning on Network Traffic, (2020).
       

    2019 [ nach oben ]

    • Eckstein, B., Niebling, F., Lugrin, B.: Reflected Reality: A Mixed Reality Knowledge Representation for Context-aware Systems. 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). S. 1-4. IEEE (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).
       
    • Wassermann, S., Seufert, M., Casas, P., Li, G., Kuang, L.: Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming, (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).
       
    • 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).
       
    • 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).
       
    • Borchert, K., Schwind, A., Hirth, M., Hoßfeld, T.: In Vivo or in Vitro? Influence of the Study Design on Crowdsourced Video QoE. 11th International Conference on Quality of Multimedia Experience (QoMEX) (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).
       
    • 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).
       
    • 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).
       
    • Feigl, T., Roth, D., Gradl, S., Wirth, M.G., Philippsen, M., Latoschik, M.E., Eskofier, B., Mutschler, C.: Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Transactions on Visualization and Computer Graphics (TVCG). 25, 3146-3157 (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., 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).
       
    • 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).
       
    • Simonovski, F.: Studying the Video Segmentation for different Streaming Platforms, (2019).
       
    • Leidinger, F.: Studing the Initial Delay of the YouTube Mobile App with TensorFlow, (2019).
       
    • Kindermann, P., Kobourov, S., Löffler, M., Nöllenburg, M., Schulz, A., Vogtenhuber, B.: Lombardi Drawings of Knots and Links. Journal of Computational Geometry. (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).
       
    • Moldovan, C.: Contributions to TF "Managing Web & Cloud QoE". , 13th Qualinet General Meeting, Berlin, Germany (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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Moldovan, C.: Energy-Efficient Adaptation Logic for HTTP Streaming in Mobile Networks. , 2019 International Conference on Networked Systems (NetSys), Garching, Germany (2019).
       
    • Rosenberger, A.: Using In-Band Network Telemetry for Automatic QoS Optimization in SDNs, (2019).
       
    • Tönsing, L.: Untersuchung des Einflusses der Anleitungs- und Bearbeitungssprache auf die Ergebnisqualität von Crowdsourcing-Aufgaben, (2019).
       
    • 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).
       
    • 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).
       
    • Ott, S.: Design and Performance Evaluation of NMS-aware SDN Controle Plane Mechanisms, (2019).
       
    • Hoßfeld, T., Atzori, L., Heegaard, P.E., Skorin-Kapov, L., Varela, M.: The Interplay between QoE, User Behavior and System Blocking in QoE Management. 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) (2019).
       
    • Göritz, A., Borchert, K., Hirth, M.: Using Attention Testing to Select Crowdsourced Workers and Research Participants. Social Science Computer Review. (2019).
       
    • 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).
       
    • Ewald, M.: Observing Changes in Machine Learning Behavior from Input Latency in Games, (2019).
       
    • Roth, D., von Mammen, S., Keil, J., Schildknecht, M., Latoschik, M.E.: Approaching Difficult Terrain with Sensitivity: A Virtual Reality Game on the Five Stages of Grief. Gehalten auf der (2019).
       
    • Wolz, M.: Hit Detection with Asymmetric Latency in UE4 Authoritative Multiplayer Games, (2019).
       
    • Morell, M.: Traffic Measurement Study for Real-Time Video Streaming with a Remote Controllable Drone, (2019).
       
    • Mizrachi, E., Schwartz, R., Spoerhase, J., Uniyal, S.: A Tight Approximation for Submodular Maximization with Mixed Packing and Covering Constraints. Proc. 46th International Colloquium on Automata, Languages and Programming (ICALP'19) (2019).
       
    • Aschenbrenner, D., Leutert, F., Cencen, A., Verlinden, J., Schilling, K., Latoschik, M.E., Lukosch, S.: Comparing Human Factors for Augmented Reality supported Single and Cooperative Repair Operations of Industrial Robots. Frontiers in Robotics and AI. 6, 37 (2019).
       
    • Steinhaeusser, S.C., Riedmann, A., Haller, M., Oberdörfer, S., Bucher, K., Latoschik, M.E.: Fancy Fruits - An Augmented Reality Application for Special Needs Education. Proceedings of the 11th International Conference on Virtual Worlds and Games for Serious Applications (VS Games 2019). S. 1-4. IEEE (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).
       
    • 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).
       
    • Moldovan, C.: User Behavior and Engagement of a Mobile Video Streaming User from Crowdsourced Measurements, (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).
       
    • 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).
       
    • Döllinger, N., Wienrich, C., Wolf, E., Botsch, M., Latoschik, M.E.: ViTraS - Virtual Reality Therapy by Stimulation of Modulated Body Image - Project Outline. Mensch und Computer 2019 - Workshopband. S. 606-611. Gesellschaft für Informatik e.V. (2019).
       
    • Linguaglossa, L., Lange, S., Pontarelli, S., Retvari, G., Rossi, D., Zinner, T., Bificulo, R., Jarschel, M., Bianchi, G.: Survey of Performance Acceleration Techniques for Network Function Virtualization. Proceedings of the IEEE. (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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • 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).
       
    • Kryven, M., Ravsky, A., Wolff, A.: Drawing Graphs on Few Circles and Few Spheres. Journal of Graph Algorithms & Applications. 23, 371--391 (2019).
       
    • Fabrikant, S.I., Miksch, S., Wolff, A. hrsg: Visual Analytics for Sets over Time and Space. Schloss Dagstuhl~-- Leibniz-Zentrum für Informatik (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. In: Löffler, M., Lubiw, A., Schleimer, S., und Chambers, E.M.W. (hrsg.) Computation in Low-Dimensional Geometry and Topology (Dagstuhl Seminar 19352). S. 87--89. Schloss Dagstuhl~-- Leibniz-Zentrum für Informatik (2019).
       
    • Firman, O., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: Computing Optimal Tangles Faster. In: Löffler, M. (hrsg.) Proc. 35th European Workshop on Computational Geometry (EuroCG'19). S. 61:1--7 (2019).
       
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    • 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.) Proc. 27th Int. Symp. Graph Drawing & Network Vis. (GD'19). S. 3--17. Springer-Verlag (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).
       
    • Münster, S., Messemer, H., Große, P., Kuroczyński, P., Niebling, F.: Das Wissen in der 3D-Rekonstruktion. In: Sahle, P. (hrsg.) DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts, Frankfurt am Main. S. 63-65 (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).
       
    • Janiak, T.: Investigating the Influence of Listener Attentiveness on the QoE of Music Streaming, (2019).
       
    • Prantl, T.: Machine Learning for Synthetically Generated, Adaptive Streaming Data, (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., Westermeier, F., Brübach, L., Feigl, T., Schell, C., Latoschik, M.E.: Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions. Mensch und Computer 2019 - Workshopband. Gesellschaft für Informatik e.V., Bonn (2019).
       
    • Maggi, L., Leguay, J., Seufert, M., Casas, P.: Online Detection of Stalling and Scrubbing in Adaptive Video Streaming. 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt). , Avignon, France (2019).
       
    • Striepe, H., Donnermann, M., Lein, M., Lugrin, B.: Modeling and Evaluating Emotion, Contextual Head Movement and Voices for a Social Robot Storyteller. International Journal of Social Robotics. (2019).
       
    • Eckstein, B., Krapp, E., Elsässer, A., Lugrin, B.: Smart substitutional reality: Integrating the smart home into virtual reality. Entertainment Computing. 31, 100306 (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).
       
    • Wolf, E., Klüber, S., Zimmerer, C., Lugrin, J.-L., Latoschik, M.E.: "Paint that object yellow": Multimodal Interaction to Enhance Creativity During Design Tasks in VR. Proceedings of the 21st ACM International Conference on Multimodal Interaction (ICMI '19). S. 195-204. ACM, New York, NY, USA (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).
       
    • 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).
       
    • Seufert, M., Schatz, R., Wehner, N., Gardlo, B., Casas, P.: 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).
       
    • 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).
       
    • Seufert, M., Casas, P., Wehner, N., Li, G., Kuang, L.: Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming. 2nd International Workshop on Network Intelligence (NI). , Paris, France (2019).
       
    • Popp, C.: Measurement and Analysis of QoE Influencing Factors for WebRTC, (2019).
       
    • Maiwald, F., Bruschke, J., Lehmann, C., Niebling, F.: A 4D information system for the exploration of multitemporal images and maps using photogrammetry, Web technologies and VR/AR. Virtual Archaeology Review. 10, 1-13 (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).
       
    • 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).
       
    • Seufert, M.: Research Activities Report for "Managing Web & Cloud QoE TF". , 13th Qualinet General Meeting, Berlin, Germany (2019).
       
    • Wamser, F., Tran-Gia, P., Geißler, S., Hoßfeld, T.: Modeling of Traffic Flows in Internet of Things Using Renewal Approximation. International Conference on Optimization and Decision Science (ODS2019) (2019).
       
    • Moldovan, C., Wamser, F., Hoßfeld, T.: Energy-Efficient Adaptation Logic for HTTP Streaming in Mobile Networks. 2019 International Conference on Networked Systems (NetSys) (2019).
       
    • 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).
       
    • Hettinger, L., Zehe, A., Dallmann, A., Hotho, A.: EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification. In: David, K., Geihs, K., Lange, M., und Stumme, G. (hrsg.) INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft. S. 191-204. Gesellschaft für Informatik e.V., Bonn (2019).
       
    • 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).
       
    • Smietanka, O.: Comparison of LPWAN IoT Device Communication Techniques LoRa and NB-IoT, (2019).
       
    • 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).
       
    • 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).
       
    • 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., und Millard, D.E. (hrsg.) Proceedings of the 30th ACM Conference on Hypertext and Social Media. S. 143--152. ACM, Hof, Germany (2019).
       
    • Loh, F.: Machine Learning Approach to Classify Video Stalls at Network Layer, (2019).
       
    • Lange, S., Linguaglossa, L., Geißler, S., Rossi, D., Zinner, T.: Discrete-Time Modeling of NFV Accelerators that Exploit Batched Processing. IEEE Conference on Computer Communications (Infocom) (2019).
       
    • Dewitz, L., Münster, S., Niebling, F.: Usability-Testing für Softwarewerkzeuge in den Digital Humanities am Beispiel von Bildrepositorien. DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts, Frankfurt am Main. 52-55 (2019).
       
    • Latoschik, M.E., Kern, F., Stauffert, J.-P., Bartl, A., Botsch, M., Lugrin, J.-L.: Not Alone Here?! Scalability and User Experience of Embodied Ambient Crowds in Distributed Social Virtual Reality. IEEE Transactions on Visualization and Computer Graphics (TVCG). 25, 2134-2144 (2019).
       
    • Schwind, A., Midoglu, C., Alay, Ö., Griwodz, C., Wamser, F.: Dissecting the performance of YouTube video streaming in mobile networks. International Journal of Network Management. (2019).
       
    • Wolf, E., Heinrich, R., Michalek, A., Schraudt, D., Hohm, A., Hein, R., Grundgeiger, T., Happel, O.: Rapid Preparation of Eye Tracking Data For Debriefing In Medical Training: A Feasibility Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63, 733--737 (2019).
       
    • Klueber, S., Wolf, E., Grundgeiger, T., Brecknell, B., Mohamed, I., Sanderson, P.M.: Head-Worn Displays and Spearcons: Supporting Multiple Patient Monitoring. Applied Ergonomics. 78, 86-96 (2019).
       
    • Sanderson, P.M., Brecknell, B., Leong, S.Y., Klueber, S., Wolf, E., Hickling, A., Tang, T.-L., Bell, E., Li, S.Y.W., Loeb, R.G.: Monitoring vital signs with time-compressed speech. Journal of Experimental Psychology: Applied. (2019).
       
    • Geißler, S., Lange, S., Wamser, F., Zinner, T., Hoßfeld, T.: KOMon - Kernel-based Online Monitoring of VNF Packet Processing Times. 2019 International Conference on Networked Systems (NetSys), Best Paper Award (2019).
       
    • Schwarzmann, S., Breitbach, P., Zinner, T.: Computing QoE-relevant Adaptive Video Streaming Metrics using Discrete-Time Analysis. Third International Workshop on Quality of Experience Management 2019 (2019).
       
    • Korger, A., Baumeister, J.: Textual Case-based Adaptation using Semantic Relatedness - A Case Study in the Domain of Security Documents. WM2019 - 10te Konferenz Professionelles Wissensmanagement (2019).
       
    • 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).
       
    • Wassermann, S., Wehner, N., Casas, P.: Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. ACM SIGMETRICS Performance Evaluation Review. 46, 155-158 (2019).
       
    • Enghardt, T., Zinner, T., Feldmann, A.: Web Performance Pitfalls. Passive and Active Measurement Conference (PAM) (2019).
       
    • Haberzettl, L.: QoS Assessments of Spotify’s Mobile Application for Audio Streaming, (2019).
       
    • 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).