The ASCETiC Testbed - An Energy Efficient Cloud Computing Environment. - Marc Körner; Alexander Stanik; Odej Kao; Marcel Wallschläger; Sören Becker 001 (TRIDENTCOM, 2016)

Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction. - Sebastian Bosse; Sören Becker 001; Zacharias V. Fisches; Wojciech Samek; Thomas Wiegand 001 (ICIP, 2018)

Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. - Sören Becker 001; Marcel Ackermann 001; Sebastian Lapuschkin; Klaus-Robert Müller; Wojciech Samek (CoRR, 2018)

Neural Network Guided Perceptually Optimized Bit-Allocation for Block-Based Image and Video Compression. - Sebastian Bosse; Michael Dietzel; Sören Becker 001; Christian R. Helmrich; Mischa Siekmann; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2019)

A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation. - Sören Becker 001; Klaus-Robert Müller; Thomas Wiegand 001; Sebastian Bosse (MLSP, 2019)

Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network. - Sebastian Bosse; Sören Becker 001; Klaus-Robert Müller; Wojciech Samek; Thomas Wiegand 001 (Digit. Signal Process., 2019)

Bitflow: An In Situ Stream Processing Framework. - Anton Gulenko; Alexander Acker; Florian Schmidt 006; Sören Becker 001; Odej Kao (ACSOS Companion, 2020)

Towards AIOps in Edge Computing Environments. - Soeren Becker 001; Florian Schmidt 006; Anton Gulenko; Alexander Acker; Odej Kao (IEEE BigData, 2020)

Multi-source Distributed System Data for AI-Powered Analytics. - Sasho Nedelkoski; Jasmin Bogatinovski; Ajay Kumar Mandapati; Soeren Becker 001; Jorge Cardoso 001; Odej Kao (ESOCC, 2020)

Xpsnr: A Low-Complexity Extension of The Perceptually Weighted Peak Signal-To-Noise Ratio For High-Resolution Video Quality Assessment. - Christian R. Helmrich; Mischa Siekmann; Sören Becker 001; Sebastian Bosse; Detlev Marpe; Thomas Wiegand 001 (ICASSP, 2020)

Resource Efficient Algorithms for Message Sampling in Online Social Networks. - Luk Burchard; Daniel Thilo Schroeder; Sören Becker 001; Johannes Langguth (SNAMS, 2020)

A Scalable System for Bundling Online Social Network Mining Research. - Luk Burchard; Daniel Thilo Schroeder; Konstantin Pogorelov; Sören Becker 001; Emily Dietrich; Petra Filkuková; Johannes Langguth (SNAMS, 2020)

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. - Anko Börner; Heinz-Wilhelm Hübers; Odej Kao; Florian Schmidt 006; Soeren Becker 001; Joachim Denzler; Daniel Matolin; David Haber; Sergio Lucia; Wojciech Samek; Rudolph Triebel; Sascha Eichstädt; et al. (CoRR, 2020)

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. - Soeren Becker 001; Florian Schmidt 006; Lauritz Thamsen; Ana Juan Ferrer; Odej Kao (ACSOS, 2021)

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. - Ana Juan Ferrer; Sören Becker 001; Florian Schmidt 006; Lauritz Thamsen; Odej Kao (CCGRID, 2021)

FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters. - Fabian Lehmann; David Frantz; Sören Becker 001; Ulf Leser; Patrick Hostert (CIKM Workshops, 2021)

Curiously Effective Features For Image Quality Prediction. - Sören Becker 001; Thomas Wiegand 001; Sebastian Bosse (ICIP, 2021)

EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. - Soeren Becker 001; Florian Schmidt 006; Odej Kao (IPCCC, 2021)

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. - Jasmin Bogatinovski; Sasho Nedelkoski; Alexander Acker; Florian Schmidt 006; Thorsten Wittkopp; Soeren Becker 001; Jorge Cardoso 001; Odej Kao (CoRR, 2021)

Towards Advanced Monitoring for Scientific Workflows. - Jonathan Bader; Joel Witzke; Soeren Becker 001; Ansgar Lößer; Fabian Lehmann; Leon Doehler; Anh Duc Vu 001; Odej Kao (IEEE Big Data, 2022)

Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. - Jonathan Bader; Nicolas Zunker; Soeren Becker 001; Odej Kao (IEEE Big Data, 2022)

Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. - Soeren Becker 001; Kevin Styp-Rekowski; Oliver Vincent Leon Stoll; Odej Kao (IEEE Big Data, 2022)

Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. - Dominik Scheinert; Babak Sistani Zadeh Aghdam; Soeren Becker 001; Odej Kao; Lauritz Thamsen (IEEE Big Data, 2022)

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. - Dominik Scheinert; Soeren Becker 001; Jonathan Bader; Lauritz Thamsen; Jonathan Will; Odej Kao (IEEE Big Data, 2022)

SyncMesh: improving data locality for function-as-a-service in meshed edge networks. - Daniel Habenicht; Kevin Kreutz; Soeren Becker 001; Jonathan Bader; Lauritz Thamsen; Odej Kao (EdgeSys@EuroSys, 2022)

Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. - Soeren Becker 001; Tobias Pfandzelter; Nils Japke; David Bermbach; Odej Kao (IC2E, 2022)

Macaw: The Machine Learning Magnetometer Calibration Workflow. - Jonathan Bader; Kevin Styp-Rekowski; Leon Doehler; Soeren Becker 001; Odej Kao (ICDM (Workshops), 2022)

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. - Soeren Becker 001; Dominik Scheinert; Florian Schmidt 006; Odej Kao (ICFEC, 2022)

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. - Dominik Scheinert; Sören Becker 001; Jonathan Will; Luis Englaender; Lauritz Thamsen (IEEE Big Data, 2023)

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. - Tamás Kiss; Amjad Ullah; Gábor Terstyánszky; Odej Kao; Sören Becker 001; Yiannis Verginadis; Antonis Michalas; Vlado Stankovski; Attila Kertész; Elisa Ricci 001; Jörn Altmann; Bernhard Egger 002; et al. (AINA (5), 2024)

Measuring Application Interference With System-Level Instrumentation. - Soeren Becker 001; Robin Goegge; Odej Kao (IEEE Big Data, 2024)

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. - Sören Becker 001; Johanna Vielhaben; Marcel Ackermann 001; Klaus-Robert Müller; Sebastian Lapuschkin; Wojciech Samek (J. Frankl. Inst., 2024)

A layered architecture for decentralized computing in the edge-cloud continuum. - Soeren Becker 001 (2025)

WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Ninon De Mecquenem; Ansgar Lößer; Sören Becker 001; Katarzyna Ewa Lewinska; Lauritz Thamsen; Ulf Leser (CoRR, 2025)

Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art. - Jonathan Bader; Kathleen West; Sören Becker 001; Svetlana Kulagina; Fabian Lehmann; Lauritz Thamsen; Henning Meyerhenke; Odej Kao (CoRR, 2025)