Sören Becker

Affiliations:
  • Technical University Berlin, Germany


According to our database1, Sören Becker authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark.
J. Frankl. Inst., 2024

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams.
Proceedings of the 6th IEEE International Conference on Fog and Edge Computing, 2022

Macaw: The Machine Learning Magnetometer Calibration Workflow.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

SyncMesh: improving data locality for function-as-a-service in meshed edge networks.
Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.
Proceedings of the IEEE International Conference on Big Data, 2022

Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments.
Proceedings of the IEEE International Conference on Big Data, 2022

Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things.
Proceedings of the IEEE International Conference on Big Data, 2022

Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows.
Proceedings of the IEEE International Conference on Big Data, 2022

Towards Advanced Monitoring for Scientific Workflows.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper.
CoRR, 2021

EdgePier: P2P-based Container Image Distribution in Edge Computing Environments.
Proceedings of the IEEE International Performance, 2021

FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper.
CoRR, 2020

A Scalable System for Bundling Online Social Network Mining Research.
Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Resource Efficient Algorithms for Message Sampling in Online Social Networks.
Proceedings of the Seventh International Conference on Social Networks Analysis, 2020

Multi-source Distributed System Data for AI-Powered Analytics.
Proceedings of the Service-Oriented and Cloud Computing, 2020

Towards AIOps in Edge Computing Environments.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Bitflow: An In Situ Stream Processing Framework.
Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019
Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network.
Digit. Signal Process., 2019

2018
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals.
CoRR, 2018

Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016
The ASCETiC Testbed - An Energy Efficient Cloud Computing Environment.
Proceedings of the Testbeds and Research Infrastructures for the Development of Networks and Communities, 2016


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