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2020 – today
- 2024
[j1]Mattis Hartwig
, Ralf Möller, Tanya Braun:
An extended view on lifting Gaussian Bayesian networks. Artif. Intell. 330: 104082 (2024)- [c16]Mattis Hartwig, Simon Schiff, Sebastian Wolfrum, Ralf Möller:
Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals. BIOSTEC (2) 2024: 175-184 - [c15]Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke:
Lifted Causal Inference in Relational Domains. CLeaR 2024: 827-842 - [c14]Simon Schiff, Sebastian Wolfrum, Ralf Möller, Mattis Hartwig:
Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses. FLAIRS 2024 - [c13]Malte Luttermann, Ralf Möller, Mattis Hartwig:
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. KI 2024: 175-189 - [i2]Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke:
Lifted Causal Inference in Relational Domains. CoRR abs/2403.10184 (2024) - [i1]Malte Luttermann, Ralf Möller, Mattis Hartwig:
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. CoRR abs/2409.04194 (2024) - 2023
- [b1]Mattis Hartwig:
New methods for efficient query answering in Gaussian probabilistic graphical models. University of Lübeck, Germany, 2023 - [c12]Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, Mattis Hartwig:
Improved Techniques for Training Tabular GANs Using Cramer's V Statistics. Canadian AI 2023 - [c11]Alexander Winter, Mattis Hartwig, Toralf Kirsten:
Predicting Hospital Length of Stay of Patients Leaving the Emergency Department. HEALTHINF 2023: 124-131 - [c10]Nils Frohwitter, Alessa Hering, Ralf Möller, Mattis Hartwig:
Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance. HEALTHINF 2023: 322-329 - [c9]Johanna Ott, Arthur Ledaguenel, Céline Hudelot, Mattis Hartwig:
How to Think About Benchmarking Neurosymbolic AI? NeSy 2023: 248-254 - 2022
- [c8]Mareike Stender, Mattis Hartwig, Tanya Braun, Ralf Möller:
Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model. FLAIRS 2022 - 2021
- [c7]Mattis Hartwig, Tanya Braun, Ralf Möller:
Handling Overlaps When Lifting Gaussian Bayesian Networks. IJCAI 2021: 4228-4234 - 2020
- [c6]Mattis Hartwig, Ralf Möller:
How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes? Australasian Conference on Artificial Intelligence 2020: 371-382 - [c5]Mattis Hartwig, Marisa Mohr, Ralf Möller:
Constructing Gaussian Processes for Probabilistic Graphical Models. FLAIRS 2020: 57-62 - [c4]Marisa Mohr, Florian Wilhelm, Mattis Hartwig, Ralf Möller, Karsten Keller:
New Approaches in Ordinal Pattern Representations for Multivariate Time Series. FLAIRS 2020: 124-129 - [c3]Mattis Hartwig, Ralf Möller:
Lifted Query Answering in Gaussian Bayesian Networks. PGM 2020: 233-244
2010 – 2019
- 2019
- [c2]Mattis Hartwig, Marcel Gehrke, Ralf Möller:
Approximate Query Answering in Complex Gaussian Mixture Models. ICBK 2019: 81-86 - 2016
- [c1]Mattis Hartwig, Olaf Reinhold, Rainer Alt:
Privacy Awareness in Mobile Business: How Mobile OS and Apps Support Transparency in the Use of Personal Data. Bled eConference 2016: 46
Coauthor Index
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last updated on 2024-10-10 21:17 CEST by the dblp team
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