Abstracting process mining event logs from process-state data to monitor control-flow of industrial manufacturing processes M Mayr, S Luftensteiner, GC Chasparis Procedia Computer Science 200, 1442-1450, 2022 | 20 | 2022 |
Opening the black-box of Neighbor Embeddings with Hotelling’s T2 statistic and Q-residuals RJ Rainer, M Mayr, J Himmelbauer, R Nikzad-Langerodi Chemometrics and Intelligent Laboratory Systems 238, 104840, 2023 | 8 | 2023 |
Filter-based feature selection methods for industrial sensor data: a review S Luftensteiner, M Mayr, G Chasparis International Conference on Big Data Analytics and Knowledge Discovery, 242-249, 2021 | 7 | 2021 |
Avubdi: A versatile usable big data infrastructure and its monitoring approaches for process industry S Luftensteiner, M Mayr, GC Chasparis, M Pichler Frontiers in Chemical Engineering 3, 665545, 2021 | 4 | 2021 |
Generalized input-output hidden-markov-models for supervising industrial processes GC Chasparis, S Luftensteiner, M Mayr Procedia Computer Science 200, 1402-1411, 2022 | 3 | 2022 |
Database and Expert Systems Applications-DEXA 2024 Workshops B Moser, L Fischer, A Mashkoor, J Sametinger, AC Glock, M Mayr, ... | 3 | 2021 |
Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic M Mayr, J Himmelbauer International Conference on Big Data Analytics and Knowledge Discovery, 348-363, 2020 | 2 | 2020 |
Gathering Expert Knowledge in Process Industry S Luftensteiner, GC Chasparis, M Mayr Procedia Computer Science 217, 960-968, 2023 | 1 | 2023 |
Automated Knowledge Graph Learning in Industrial Processes L Ammann, J Martinez-Gil, M Mayr, GC Chasparis arXiv preprint arXiv:2407.02106, 2024 | | 2024 |
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry M Mayr, GC Chasparis, J Küng International Conference on Big Data Analytics and Knowledge Discovery, 34-47, 2024 | | 2024 |
From Data to Decisions-Developing Data Analytics Use-Cases in Process Industry J Himmelbauer, M Mayr, S Luftensteiner International Conference on Database and Expert Systems Applications, 79-89, 2022 | | 2022 |
Check for updates Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review S Luftensteiner, M Mayr, G Chasparis Big Data Analytics and Knowledge Discovery: 23rd International Conference …, 2021 | | 2021 |