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Publications of the Research Group

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Statistics-based ID Management for Load Balancing in Structured P2P Networks

Daniel Warneke and Christian Dannewitz

Proceedings of the 34rd IEEE Conference on Local Computer Networks (LCN 2009). IEEE Computer Society, 273–276. 2009

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Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud

Daniel Warneke and Odej Kao

Parallel and Distributed Systems, IEEE Transactions on. IEEE Press, 985-997. 2011

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Nephele: Efficient Parallel Data Processing in the Cloud

Daniel Warneke and Odej Kao

MTAGS '09: Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers. ACM, 1–10. 2009

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Exchangeable, Application-Independent Load Balancing for P2P Simulation Frameworks

Daniel Warneke and Ulf Rerrer-Brusch

OMNeT++ 2009: Proceedings of the 2nd International Workshop on OMNeT++ (hosted by SIMUTools 2009). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). 2009

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Search for Similar Scenes in Newsfeeds based on Image Warping Techniques

C. Werner and Odej Kao and Ingo la Tendresse and M. Zibull

Proceedings of the International Conference on Imaging Science, Systems, and Technology, 542-548. 2003

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Unsupervised Anomaly Alerting for IoT-Gateway Monitoring using Adaptive Thresholds and Half-Space Trees

Wetzig, René and Gulenko, Anton and Schmidt, Florian

2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS). IEEE, 161–168. 2019

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Z

Fa* ir: A fair top-k ranking algorithm

Zehlike, Meike and Bonchi, Francesco and Castillo, Carlos and Hajian, Sara and Megahed, Mohamed and Baeza-Yates, Ricardo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 1569–1578. 2017

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Learning more expressive joint distributions in multimodal variational methods

S. Nedelkoski and M. Bogojevski and O. Kao

2020 International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, To appear. 2020

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Self-Supervised Log parsing

S. Nedelkoski and J. Bogatinovski and A. Acker and J. Cardoso and O. Kao

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, To appear. 2020

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Anomaly Detection and Classification using Distributed Tracing and Deep Learning

S. Nedelkoski and J. Cardoso and O. Kao

2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE/ACM, 241-250. 2019

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Anomaly Detection from System Tracing Data Using Multimodal Deep Learning

S. Nedelkoski and J. Cardoso and O. Kao

2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 179-186. 2019

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