activity
20192022
most citedLearning from Higher-Layer Feature Visualizations

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC20221 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.LG20213 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…

cs.LG2020

My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann +8

In this work, we present an approach for unsupervised domain adaptation (DA) with the constraint, that the labeled source data are not directly available, and instead only access t…

cs.LG20197 cited

Learning from Higher-Layer Feature Visualizations

Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel +1

Driven by the goal to enable sleep apnea monitoring and machine learning-based detection at home with small mobile devices, we investigate whether interpretation-based indirect kno…