6 Result(s)
within
Michael Alexander Riegler
English
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Chapter and Conference Paper
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes
Uncontrolled over-fishing has been exemplified by the UN as a serious ecological challenge and a major threat to sustainable food supplies. Emerging trends within governing bodies point towards digital solutio...
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Article
Open AccessEnhancing investigative interview training using a child avatar system: a comparative study of interactive environments
The impact of investigative interviews by police and Child Protective Services (CPS) on abused children can be profound, making effective training vital. Quality in these interviews often falls short and curre...
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Article
Open AccessAn automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology
Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a ch...
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Chapter and Conference Paper
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms
The problem of missing data is common in practice. Many imputation methods have been developed to fill in the missing entries. However, not all of them can scale to high-dimensional data, especially the multip...
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Chapter and Conference Paper
Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach
The collective effects of sleep loss and sleep disorders are correlated with many adverse health consequences, including increased risk of high blood pressure, obesity, diabetes, depressive state, and cardiova...
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Article
Open AccessA Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data
In this work, we propose the use of a genetic-algorithm-based attack against machine learning classifiers with the aim of ‘stealing’ users’ biometric actigraphy profiles from health related sensor data. The ta...
