Mattis Hartwig

According to our database1, Mattis Hartwig authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Lifted Causal Inference in Relational Domains.
CoRR, 2024

Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
New methods for efficient query answering in Gaussian probabilistic graphical models.
PhD thesis, 2023

How to Think About Benchmarking Neurosymbolic AI?
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Predicting Hospital Length of Stay of Patients Leaving the Emergency Department.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Improved Techniques for Training Tabular GANs Using Cramer's V Statistics.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022
Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
Handling Overlaps When Lifting Gaussian Bayesian Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Lifted Query Answering in Gaussian Bayesian Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

New Approaches in Ordinal Pattern Representations for Multivariate Time Series.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Constructing Gaussian Processes for Probabilistic Graphical Models.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
Approximate Query Answering in Complex Gaussian Mixture Models.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2016
Privacy Awareness in Mobile Business: How Mobile OS and Apps Support Transparency in the Use of Personal Data.
Proceedings of the 29th Bled eConference: Digital Economy, 2016


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