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Sören Becker 0001
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- affiliation: Technical University Berlin, Germany
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- Sören Becker — disambiguation page
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2020 – today
- 2024
- [j2]Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller
, Sebastian Lapuschkin
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. J. Frankl. Inst. 361(1): 418-428 (2024) - [c26]Tamás Kiss, Amjad Ullah, Gábor Terstyánszky, Odej Kao, Sören Becker, Yiannis Verginadis, Antonis Michalas, Vlado Stankovski, Attila Kertész, Elisa Ricci, Jörn Altmann, Bernhard Egger, Francesco Tusa, József Kovács, Róbert Lovas:
Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. AINA (5) 2024: 89-100 - 2023
- [c25]Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen:
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. IEEE Big Data 2023: 2339-2345 - [i18]Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen:
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. CoRR abs/2311.14600 (2023) - 2022
- [c24]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. IEEE Big Data 2022: 209-216 - [c23]Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann
Towards Advanced Monitoring for Scientific Workflows. IEEE Big Data 2022: 2709-2715 - [c22]Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. IEEE Big Data 2022: 3714-3719 - [c21]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. IEEE Big Data 2022: 4583-4588 - [c20]Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao:
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. IEEE Big Data 2022: 5424-5433 - [c19]Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: improving data locality for function-as-a-service in meshed edge networks. EdgeSys@EuroSys 2022: 55-60 - [c18]Soeren Becker, Tobias Pfandzelter, Nils Japke
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. IC2E 2022: 1-7 - [c17]Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. ICDM (Workshops) 2022: 1095-1101 - [c16]Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. ICFEC 2022: 88-93 - [i17]Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR abs/2203.05362 (2022) - [i16]Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. CoRR abs/2203.14801 (2022) - [i15]Soeren Becker, Tobias Pfandzelter, Nils Japke, David Bermbach, Odej Kao:
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. CoRR abs/2208.05862 (2022) - [i14]Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. CoRR abs/2210.08897 (2022) - [i13]Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao:
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. CoRR abs/2211.07619 (2022) - [i12]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR abs/2211.08227 (2022) - [i11]Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. CoRR abs/2211.12076 (2022) - [i10]Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. CoRR abs/2211.12744 (2022) - [i9]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR abs/2211.13729 (2022) - 2021
- [c15]Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. ACSOS 2021: 41-50 - [c14]Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CCGRID 2021: 634-641 - [c13]Fabian Lehmann, David Frantz, Sören Becker, Ulf Leser, Patrick Hostert:
FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters. CIKM Workshops 2021 - [c12]Sören Becker, Thomas Wiegand, Sebastian Bosse:
Curiously Effective Features For Image Quality Prediction. ICIP 2021: 1399-1403 - [c11]Soeren Becker, Florian Schmidt, Odej Kao:
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. IPCCC 2021: 1-8 - [i8]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao:
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR abs/2101.06054 (2021) - [i7]Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. CoRR abs/2102.09001 (2021) - [i6]Ana Juan Ferrer, Soeren Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CoRR abs/2103.06026 (2021) - [i5]Sören Becker, Thomas Wiegand, Sebastian Bosse:
Curiously Effective Features for Image Quality Prediction. CoRR abs/2106.05946 (2021) - [i4]Soeren Becker, Florian Schmidt, Odej Kao:
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. CoRR abs/2109.12983 (2021) - [i3]Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. CoRR abs/2109.13009 (2021) - 2020
- [c10]Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao:
Bitflow: An In Situ Stream Processing Framework. ACSOS Companion 2020: 182-187 - [c9]Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. IEEE BigData 2020: 3470-3475 - [c8]Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Soeren Becker, Jorge Cardoso
Multi-source Distributed System Data for AI-Powered Analytics. ESOCC 2020: 161-176 - [c7]Christian R. Helmrich, Mischa Siekmann, Sören Becker, Sebastian Bosse, Detlev Marpe, Thomas Wiegand:
Xpsnr: A Low-Complexity Extension of The Perceptually Weighted Peak Signal-To-Noise Ratio For High-Resolution Video Quality Assessment. ICASSP 2020: 2727-2731 - [c6]Luk Burchard, Daniel Thilo Schroeder, Sören Becker, Johannes Langguth:
Resource Efficient Algorithms for Message Sampling in Online Social Networks. SNAMS 2020: 1-8 - [c5]Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkuková
A Scalable System for Bundling Online Social Network Mining Research. SNAMS 2020: 1-6 - [i2]Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Soeren Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger:
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR abs/2006.08368 (2020)
2010 – 2019
- 2019
- [j1]Sebastian Bosse
Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network. Digit. Signal Process. 91: 54-65 (2019) - [c4]Sebastian Bosse, Michael Dietzel, Sören Becker, Christian R. Helmrich, Mischa Siekmann, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Neural Network Guided Perceptually Optimized Bit-Allocation for Block-Based Image and Video Compression. ICIP 2019: 126-130 - [c3]Sören Becker, Klaus-Robert Müller
A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation. MLSP 2019: 1-6 - 2018
- [c2]Sebastian Bosse, Sören Becker, Zacharias V. Fisches, Wojciech Samek, Thomas Wiegand:
Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction. ICIP 2018: 629-633 - [i1]Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek:
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. CoRR abs/1807.03418 (2018) - 2016
- [c1]Marc Körner, Alexander Stanik, Odej Kao, Marcel Wallschläger, Sören Becker:
The ASCETiC Testbed - An Energy Efficient Cloud Computing Environment. TRIDENTCOM 2016: 93-102
Coauthor Index
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