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Science That Will Change The World 🌍
Curious about the research at the Faculty of Science? Discover groundbreaking research that could change the world during Science That Will Change The World.
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Rethinking Anomaly Detection: From Theory to Practice
This PhD thesis aims to investigate anomaly detection by evaluating algorithm performance, assessing the reliability of autoencoders, and introducing a novel application in power grid load estimation.
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Perspectives on Adversarial Machine Learning in Intelligent Information Systems
The PhD defence of Z. Liu is on 17 April 2025 at 12:30 pm.
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Isogenies & Isometries
The PhD defence of K.C.J.M. Reijnders is on 12 May 2025 at 10:30 am.
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Towards rapid and reliable parameter estimation for gravitational waves
The PhD defence of A. Kolmus is on 20 May 2025 at 02:30 pm.
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Machine Learning for Time Series
This course introduces tools and techniques for analyzing, forecasting, and detecting anomalies in time series data.