Privacy Awareness in Mobile Business: How Mobile OS and Apps Support Transparency in the Use of Personal Data. - Mattis Hartwig; Olaf Reinhold; Rainer Alt (Bled eConference, 2016)

Approximate Query Answering in Complex Gaussian Mixture Models. - Mattis Hartwig; Marcel Gehrke; Ralf Möller 001 (ICBK, 2019)

How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes? - Mattis Hartwig; Ralf Möller 001 (Australasian Conference on Artificial Intelligence, 2020)

Constructing Gaussian Processes for Probabilistic Graphical Models. - Mattis Hartwig; Marisa Mohr; Ralf Möller 001 (FLAIRS, 2020)

New Approaches in Ordinal Pattern Representations for Multivariate Time Series. - Marisa Mohr; Florian Wilhelm; Mattis Hartwig; Ralf Möller 001; Karsten Keller (FLAIRS, 2020)

Lifted Query Answering in Gaussian Bayesian Networks. - Mattis Hartwig; Ralf Möller 001 (PGM, 2020)

Handling Overlaps When Lifting Gaussian Bayesian Networks. - Mattis Hartwig; Tanya Braun; Ralf Möller 001 (IJCAI, 2021)

Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model. - Mareike Stender; Mattis Hartwig; Tanya Braun; Ralf Möller 001 (FLAIRS, 2022)

Improved Techniques for Training Tabular GANs Using Cramer's V Statistics. - Melle Mendikowski; Benjamin Schindler; Thomas Schmid 003; Ralf Möller 001; Mattis Hartwig (Canadian AI, 2023)

Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance. - Nils Frohwitter; Alessa Hering; Ralf Möller 001; Mattis Hartwig (HEALTHINF, 2023)

Predicting Hospital Length of Stay of Patients Leaving the Emergency Department. - Alexander Winter; Mattis Hartwig; Toralf Kirsten (HEALTHINF, 2023)

How to Think About Benchmarking Neurosymbolic AI? - Johanna Ott; Arthur Ledaguenel; Céline Hudelot; Mattis Hartwig (NeSy, 2023)

New methods for efficient query answering in Gaussian probabilistic graphical models. - Mattis Hartwig (2023)

Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals. - Mattis Hartwig; Simon Schiff; Sebastian Wolfrum; Ralf Möller 001 (BIOSTEC (2), 2024)

Lifted Causal Inference in Relational Domains. - Malte Luttermann; Mattis Hartwig; Tanya Braun; Ralf Möller 001; Marcel Gehrke (CLeaR, 2024)

Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses. - Simon Schiff; Sebastian Wolfrum; Ralf Möller 001; Mattis Hartwig (FLAIRS, 2024)

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. - Malte Luttermann; Ralf Möller 001; Mattis Hartwig (KI, 2024)

An extended view on lifting Gaussian Bayesian networks. - Mattis Hartwig; Ralf Möller 001; Tanya Braun (Artif. Intell., 2024)

Approximate Lifted Model Construction. - Malte Luttermann; Jan Speller; Marcel Gehrke; Tanya Braun; Ralf Möller 001; Mattis Hartwig (CoRR, 2025)