Welcome at the Applied Machine Learning Lab
Led by Prof. Dr. Rafet Sifa, the Applied Machine Learning (AML) Lab focuses on addressing the challenges of implementing machine learning models in real-world settings while developing novel methods for pattern analysis and representation learning. The lab's primary area of investigation is based on constructing hybrid, interpretable, and resource-aware learning systems with practical applications in text mining, behavioral analytics, and medical informatics.
At AML Lab, we have made it our mission to bridge the gap between cutting-edge technology and everyday challenges.
If you want to reach out to us, please write us:
amllab[at]bit.uni-bonn.de
Please also have a look on:
Our Research focuses on
Text Mining
Learn about the potential of text mining through our advanced NLP research focused on representation learning, finance & legal applications, and decision making processes.
Medical Informatics
Discover how we are improving diagnostics and addressing the challenges of modern medicine by focusing on efficiency and accuracy to empower healthcare professionals to make informed decisions.
Behavioral Analytics
Explore how psychology, data analytics and user experience are used to model human behavior to improve decision making and personalize services.