activity
20192026
most citedAugmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection

10 citations · 21 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CR2026

Pattern-level Differential Privacy for High-utility Complex Event Processing

He Gu, Thomas Plagemann, Vera Goebel +2

Current privacy-preserving mechanisms (PPMs) in Complex Event Processing (CEP) systems are unnecessarily restrictive, reducing the utility of data received by data consumers. This…

cs.CR2026

A Seed for Privacy -- semi-automatic privacy-revealing data detection in databases and data streams

He Gu, Thomas Plagemann, Vera Goebel

Sharing databases and data streams imposes the danger of revealing private information in the form of complex events which can comprise individual data elements and their combinati…

cs.DB2023

Differential Privacy for Protecting Private Patterns in Data Streams

He Gu, Thomas Plagemann, Maik Benndorf +2

Complex event processing (CEP) is a powerful and increasingly more important tool to analyse data streams for Internet of Things (IoT) applications. These data streams often contai…

cs.DC2022★ 1 cited

Towards Privacy Engineering for Real-Time Analytics in the Human-Centered Internet of Things

Thomas Plagemann, Vera Goebel, Matthias Hollick +1

Big data applications offer smart solutions to many urgent societal challenges, such as health care, traffic coordination, energy management, etc. The basic premise for these appli…

cs.DC2022

To Migrate or not to Migrate: An Analysis of Operator Migration in Distributed Stream Processing

Espen Volnes, Thomas Plagemann, Vera Goebel

One of the most important issues in data stream processing systems is to use operator migration to handle highly variable workloads in a cost-efficient manner and adapt to the need…

cs.LG2021★ 3 cited

A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea

Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann +11

Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characterized by repeated disrupted breathing events during sleep. It is diagnosed via poly…