We are dedicated to advancing the fields of machine learning and data science, with a particular focus on deep representation learning for sequentially ordered data such as biomedical time series and natural text. We research and develop cutting-edge methods to advance medical diagnostics and natural language technologies, while educating and mentoring the future generation of machine learning experts. We are located at the Aachen University of Applied Sciences, Germany.
🏆 Our team won 2nd place in the international competition GermEval 2024 (Subtask 2) on detecting sexism in online news media! Congratulations to all team members! 👏 Helping moderators identify harmful user comments is becoming increasingly important due to the growing number of comments on many platforms. Find out more about our work here: 📄 paper, 👨🏫 presentation, 💡LinkedIn post.
🙌 At the ICLR conference in Vienna, our PhD student Niklas presented his research on overcoming data scarcity in sleep medical settings. Watch his presentation on Pretraining sleep staging models without patient data—a step forward for deep learning applications in limited data environments. ✨
🎉 Our team's research on tackling data scarcity in sleep medical settings has been selected for both an oral presentation and a poster at ICLR 2024. Niklas will present his findings on Pretraining sleep staging models without patient data—opening new doors for deep learning in settings where time series data is limited. 🚀