A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder B van der Heyden, M Uray, GP Fonseca, P Huber, D Us, I Messner, A Law, ... Physics in Medicine & Biology 65 (14), 145002, 2020 | 17 | 2020 |
Topological Data Analysis in smart manufacturing processes--A survey on the state of the art M Uray, B Giunti, M Kerber, S Huber arXiv preprint arXiv:2310.09319, 2023 | 1 | 2023 |
A Mini Review on the utilization of Reinforcement Learning with OPC UA S Schindler, M Uray, S Huber 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-6, 2023 | 1 | 2023 |
Improvements for mlrose Applied to the Traveling Salesperson Problem S Wintersteller, M Uray, M Lehenauer, S Huber International Conference on Computer Aided Systems Theory, 611-618, 2022 | 1 | 2022 |
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure M Uray, E Hirsch, G Katzinger, M Gadermayr Data Science–Analytics and Applications, 75-81, 2022 | 1 | 2022 |
CSRX: A Novel Crossover Operator for a Genetic Algorithm Applied to the Traveling Salesperson Problem M Uray, S Wintersteller, S Huber International Data Science Conference, 21-27, 2023 | | 2023 |
Topological Data Analysis for Industrial Manufacturing–A Mini Review M Uray, B Giunti, S Huber, M Kerber | | 2022 |
Industrial Application of Artificial Intelligence to the Traveling Salesperson Problem M Lehenauer, S Wintersteller, M Uray, S Huber | | 2021 |
Character-wise Natural Language Processing using sparse encodings M Uray | | 2018 |