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05/10/2023
Differential Privacy for Protecting Private Patterns in Data Streams
Complex event processing (CEP) is a powerful and increasingly more impor...
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10/28/2022
Towards Privacy Engineering for Real-Time Analytics in the Human-Centered Internet of Things
Big data applications offer smart solutions to many urgent societal chal...
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03/07/2022
To Migrate or not to Migrate: An Analysis of Operator Migration in Distributed Stream Processing
One of the most important issues in data stream processing systems is to...
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01/07/2021
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
Sleep apnea is a serious and severely under-diagnosed sleep-related resp...
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09/23/2020
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
Improper or erroneous labelling can pose a hindrance to reliable general...
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09/22/2020
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
In this work, we present an approach for unsupervised domain adaptation ...
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09/21/2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
Good training data is a prerequisite to develop useful ML applications. ...
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05/22/2019
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
Supervised machine learning applications in the health domain often face...
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03/06/2019