Deriving the Employee-Perceived Application Quality in Enterprise IT Infrastructures using Information from Ticketing Systems. - Susanna Schwarzmann; Thomas Zinner; Matthias Hirth (LWA, 2014)

Text Categorization for Deriving the Application Quality in Enterprises Using Ticketing Systems. - Thomas Zinner; Florian Lemmerich; Susanna Schwarzmann; Matthias Hirth; Peter Karg; Andreas Hotho (DaWaK, 2015)

Towards a Framework for Comparing Application-Network Interaction Mechanisms. - Susanna Schwarzmann; Thomas Zinner; Ognjen Dobrijevic (QCMan@ITC, 2016)

Quantitative comparison of application-network interaction: a case study of adaptive video streaming. - Susanna Schwarzmann; Thomas Zinner; Ognjen Dobrijevic (Qual. User Exp., 2017)

Evaluation of the Benefits of Variable Segment Durations for Adaptive Streaming. - Susanna Schwarzmann; Thomas Zinner; Stefan Geissler; Christian Sieber (QoMEX, 2018)

QoE Management for Future Networks. - Raimund Schatz; Susanna Schwarzmann; Thomas Zinner; Ognjen Dobrijevic; Eirini Liotou; Peter Pocta; Sabina Barakovic; Jasmina Barakovic Husic; Lea Skorin-Kapov (Autonomous Control for a Reliable Internet of Services, 2018)

Computing QoE-Relevant Adaptive Video Streaming Metrics Using Discrete-Time Analysis. - Susanna Schwarzmann; Paula Breitbach; Thomas Zinner (ICIN, 2019)

Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning. - Susanna Schwarzmann; Clarissa Cassales Marquezan; Marcin Bosk; Huiran Liu; Riccardo Trivisonno; Thomas Zinner (Internet-QoE@MOBICOM, 2019)

Modeling Adaptive Video Streaming Using Discrete-Time Analysis. - Susanna Schwarzmann; Paula Breitbach; Thomas Zinner; Matthias Rost (ITC, 2019)

Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. - Susanna Schwarzmann; Clarissa Cassales Marquezan; Riccardo Trivisonno; Shinichi Nakajima; Thomas Zinner (ICC, 2020)

Comparing fixed and variable segment durations for adaptive video streaming: a holistic analysis. - Susanna Schwarzmann; Nick Hainke; Thomas Zinner; Christian Sieber; Werner Robitza; Alexander Raake (MMSys, 2020)

Linking QoE and Performance Models for DASH-based Video Streaming. - Susanna Schwarzmann; Thomas Zinner (NetSoft, 2020)

Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-Host Pacing. - Christian Sieber; Susanna Schwarzmann; Andreas Blenk; Thomas Zinner; Wolfgang Kellerer (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2020)

Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation. - Marcin Bosk; Marija Gajic; Susanna Schwarzmann; Stanislav Lange; Riccardo Trivisonno; Clarissa Cassales Marquezan; Thomas Zinner (CNSM, 2021)

HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework. - Marcin Bosk; Marija Gajic; Susanna Schwarzmann; Stanislav Lange; Thomas Zinner (CoRR, 2021)

Intelligent Admission Control in 6G Networks for Resource-efficient Reliable Connectivity. - Priyanka Pathak; Susanna Schwarzmann; Riccardo Trivisonno; Marius Pesavento (GLOBECOM, 2022)

Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++. - Marija Gajic; Marcin Bosk; Susanna Schwarzmann; Stanislav Lange; Thomas Zinner (INFOCOM Workshops, 2022)

ML-Based QoE Estimation in 5G Networks Using Different Regression Techniques. - Susanna Schwarzmann; Clarissa Cassales Marquezan; Riccardo Trivisonno; Shinichi Nakajima; Vincent Barriac; Thomas Zinner (IEEE Trans. Netw. Serv. Manag., 2022)

Modeling and design of novel QoE management strategies for adaptive video streaming. - Susanna Schwarzmann (2022)

QoE Management Strategien für adaptives Videostreaming. - Susanna Schwarzmann (Ausgezeichnete Informatikdissertationen, 2022)

Intelligent 6G Admission Control Leveraging LSTM-Based Request Forecasting. - Priyanka Pathak; Susanna Schwarzmann; Riccardo Trivisonno; Marius Pesavento (ICC, 2023)

An Intelligent User Plane to Support In-Network Computing in 6G Networks. - Susanna Schwarzmann; Riccardo Trivisonno; Stanislav Lange; Tugce Erkilic Civelek; Daniel Corujo; Riccardo Guerzoni; Thomas Zinner; Toktam Mahmoodi (ICC, 2023)

In-Network Computing and Split-AI in 6G: Enablers and Proof-of-Concept Studies. - Mattia Giovanni Spina; D. V. Soto Lebron; Susanna Schwarzmann; Riccardo Guerzoni; Riccardo Trivisonno; Antonio Iera; Floriano De Rango; George T. Karetsos; Thomas Zinner; Daniel Corujo (6GNet, 2024)

Collaborative Cooking in VR: Effects of Network Distortion in Multi-User Virtual Environments. - Javad Sameri; Sam Van Damme; Susanna Schwarzmann; Qing Wei 001; Riccardo Trivisonno; Filip De Turck; Maria Torres Vega (MMSys, 2024)

Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning. - Sayantini Majumdar; Susanna Schwarzmann; Riccardo Trivisonno; Georg Carle (NOMS, 2024)

Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning. - Sayantini Majumdar; Susanna Schwarzmann; Riccardo Trivisonno; Georg Carle (NOMS, 2024)

Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane. - Susanna Schwarzmann; Tugce Erkilic Civelek; Antonio Iera; Daniel Corujo; George T. Karetsos; Riccardo Guerzoni; Osama Abboud; Andres Meseguer Valenzuela; Riccardo Trivisonno; Mattia Giovanni Spina; Thomas Zinner; Toktam Mahmoodi (WCNC, 2024)

Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks. - Sayantini Majumdar; Susanna Schwarzmann; Riccardo Trivisonno; Georg Carle (IEEE Trans. Netw. Serv. Manag., 2024)