Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification. - Florian Heinrichs; Mavin Heim; Corinna Weber (ICML, 2023)

Monitoring Machine Learning Models: Online Detection of Relevant Deviations. - Florian Heinrichs (CoRR, 2023)

Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines. - Matteo Varotto; Florian Heinrichs; Timo Schuerg; Stefano Tomasin; Stefan Valentin (WIFS, 2024)

GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis. - Florian Heinrichs (CoRR, 2024)

OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data. - Sebastian Wette; Florian Heinrichs (CoRR, 2024)

Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks. - Mavin Heim; Florian Heinrichs; Michael Hueppe; Fran Nunez; Alexander Szameitat; Muriel Reuter; Stefan M. Goetz; Corinna Weber (IEEE Access, 2025)

Consumer-grade EEG-based Eye Tracking. - Tiago Vasconcelos Afonso; Florian Heinrichs (CoRR, 2025)

EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines. - Tiago Vasconcelos Afonso; Florian Heinrichs (CoRR, 2025)