Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. - Felix Ott 001; David Rügamer; Lucas Heublein; Bernd Bischl; Christopher Mutschler (ICPR Workshops (1), 2022)

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. - Felix Ott 001; David Rügamer; Lucas Heublein; Bernd Bischl; Christopher Mutschler (ACM Multimedia, 2022)

Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach. - Felix Ott 001; David Rügamer; Lucas Heublein; Bernd Bischl; Christopher Mutschler (WACV, 2022)

Cross-Modal Common Representation Learning with Triplet Loss Functions. - Felix Ott 001; David Rügamer; Lucas Heublein; Bernd Bischl; Christopher Mutschler (CoRR, 2022)

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens. - Felix Ott 001; David Rügamer; Lucas Heublein; Tim Hamann; Jens Barth; Bernd Bischl; Christopher Mutschler (Int. J. Document Anal. Recognit., 2022)

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition. - Felix Ott 001; David Rügamer; Lucas Heublein; Bernd Bischl; Christopher Mutschler (IEEE Access, 2023)

Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data. - Felix Ott 001; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Jonathan Hansen; Alexander Rügamer; Christopher Mutschler (ICL-GNSS, 2024)

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling. - Lucas Heublein; Tobias Feigl; Alexander Rügamer; Felix Ott 001 (CoRR, 2024)

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. - Saurabh Sampatrao Gaikwad; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (CoRR, 2024)

Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments. - Felix Ott 001; Lucas Heublein; David Rügamer; Bernd Bischl; Christopher Mutschler (J. Vis. Commun. Image Represent., 2024)

GNSS Interference Spectrum & Low-Cost Controlled Indoor Dataset. - Tobias Brieger; Tobias Feigl; Lucas Heublein; Alexander Rügamer; Felix Ott 001 (IEEE DataPort, 2024)

GNSS Interference Spectrum Controlled Low-Frequency. - Lucas Heublein; Tobias Feigl; Thorsten Nowak; Alexander Rügamer; Felix Ott 001 (IEEE DataPort, 2024)

GNSS Interference Spectrum Highway Dataset 2. - Felix Ott 001; Lucas Heublein; Alexander Rügamer (IEEE DataPort, 2024)

GNSS Interference Spectrum Highway Dataset 1. - Felix Ott 001; Lucas Heublein; Nisha Lakshmana Raichur; Alexander Rügamer (IEEE DataPort, 2024)

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. - Lucas Heublein; Tobias Feigl; Thorsten Nowak; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (ICL-GNSS, 2025)

Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification. - Lucas Heublein; Simon Kocher; Tobias Feigl; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (ICL-GNSS, 2025)

5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization. - Nisha Lakshmana Raichur; Lucas Heublein; Christopher Mutschler; Felix Ott 001 (ICL-GNSS, 2025)

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. - Nishant S. Gaikwad; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (NOMS, 2025)

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers. - Lukas Schelenz; Shobha Rajanna; Denis Gosalci; Lucas Heublein; Jonas Pirkl; Jonathan Ott; Felix Ott 001; Christopher Mutschler; Tobias Feigl (PLANS, 2025)

GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU. - Thorben Wegner; Lucas Heublein; Tobias Feigl; Felix Ott 001; Christopher Mutschler; Alexander Rügamer (PLANS, 2025)

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization. - Harshith Manjunath; Lucas Heublein; Tobias Feigl; Felix Ott 001 (WCNC, 2025)

Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. - Nisha Lakshmana Raichur; Lucas Heublein; Tobias Feigl; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (Trans. Mach. Learn. Res., 2025)

Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies. - Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Tobias Brieger; Fin Heuer; Lennart Asbach; Alexander Rügamer; Felix Ott 001 (CoRR, 2025)

Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization. - Lucas Heublein; Christian Wielenberg; Thorsten Nowak; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (CoRR, 2025)