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Neue Publikationen
Privacy-Preserving Stress Detection Using Smartwatch Health Data
Privacy-Preserving Sentiment Analysis on Twitter
Using Differential Equation Inspired Machine Learning for Valve Faults Prediction
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
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M. Taeschner's Publikationen (3)
Rost, C
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Gomez, K
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Taeschner, M
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Fritzsche, P
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Schons, L
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Christ, L
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Adameit, T
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Junghanns, M
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Rahm, E
Distributed temporal graph analytics with GRADOOP
VLDB Journal 2021 Special Issue Paper
2021-05
Gomez, K.
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Taeschner, M.
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Rostami, M. Ali
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Rost, C.
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Rahm, E.
Graph Sampling with Distributed In-Memory Dataflow Systems
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2021
2021-03
Gomez, K.
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Taeschner, M.
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Rostami, M. Ali.
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Rost, C.
;
Rahm, E.
Distributed Graph Sampling with In-Memory Dataflow Systems
Techn. Report, Univ. of Leipzig, arXiv:1910.04493, Oct 2019
2019-10