IEEE BigData (2025) conference
At last years IEEE BigData (2025) conference, the AML Lab had 9 papers accepted and presented. A few days ago, they were added to the IEEE Xplore repository.
© Maximilian Waidhas / b-it 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:
© stock.adobe.com Learn about the potential of text mining through our advanced NLP research focused on representation learning, finance & legal applications, and decision making processes.
© stock.adobe.com 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.
© stock.adobe.com Explore how psychology, data analytics and user experience are used to model human behavior to improve decision making and personalize services.
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At last years IEEE BigData (2025) conference, the AML Lab had 9 papers accepted and presented. A few days ago, they were added to the IEEE Xplore repository.
Unfortunately, there are currently no events scheduled.