Machine Learning
Machine Learning

Machine Learning

Machine Learning Research at the University of Twente focusses on the application of Machine Learning in Social Signal Processing, Biometric Pattern Recognition, and Text mining…

Machine Learning @ UT

Welcome to ML@UT, Machine Learning at the University of Twente. We are a multi-disciplinary team of researchers studying and using machine learning in the following three themes:

Human Social Behavior Detection and Recognition

In this theme we apply and develop Machine Learning techniques for the detection and recognition of social signals and behaviors of humans in order develop and design social intelligent systems.

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Text classification and ranking

In this theme we explore machine learning techniques for information retrieval and information extraction, for the structuring and ranking of natural language texts.

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Biometric Pattern Recognition

In this theme we explore machine learning techniques for person recognition based on biometric traits, like face recognition, finger print recognition etc., mostly on image data.

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Contact

For more information, please contact:
Mannes Poel, Djoerd Hiemstra, or Raymond Veldhuis


Everything you ever wanted to know about Machine Learning, and more!
The course addresses advanced methods for image segmentation, object tracking and motion analysis in images, 3D computer vision and 3D reconstruction from e.g. stereo images and statistical pattern recognition for image analysis, e.g. face recognition.
Data Science is the emerging interdisciplinary field that lies at the intersection of computer science, statistics, visualization and the social sciences. Scientific and economic progress is increasingly powered by our capabilities to explore big data sets.
Master Courses
Machine Learning
Advanced Computer Vision and Pattern Recognition
Data Science
BeneLearn 2017
#UTwenteML

9-10 June 2017, Eindhoven

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TensorFlow Tutorial
TensorFlow Tutorial
#UTwenteML

17 March 2017, Zilverling

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Data Science Day
Data Science Day
#UTwenteML

12 October 2016, DesingLab

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