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Florian Sobieczky
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2020 – today
- 2024
- [j5]Anna-Christina Glock, Florian Sobieczky, Johannes Fürnkranz, Peter Filzmoser, Martin Jech:
Predictive change point detection for heterogeneous data. Neural Comput. Appl. 36(26): 16071-16096 (2024) - [j4]Ondrej Budik
, Milan Novák, Florian Sobieczky, Ivo Bukovsky
AISLEX: Approximate individual sample learning entropy with JAX. SoftwareX 28: 101915 (2024) - 2023
- [i3]Anna-Christina Glock, Florian Sobieczky, Johannes Fürnkranz, Peter Filzmoser, Martin Jech:
Predictive change point detection for heterogeneous data. CoRR abs/2305.06630 (2023) - 2022
- [j3]Maqbool Khan
A Systematic Mapping Study of Predictive Maintenance in SMEs. IEEE Access 10: 88738-88749 (2022) - [c10]Eva-Maria Infanger
Applying Time-Inhomogeneous Markov Chains to Math Performance Rating. DEXA Workshops 2022: 11-21 - [c9]Muhammad Qasim
A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME. DEXA Workshops 2022: 22-31 - [c8]Michael Affenzeller, Michael Bögl, Lukas Fischer
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. SYNASC 2022: 1-8 - [e2]Gabriele Kotsis, A Min Tjoa
Database and Expert Systems Applications - DEXA 2022 Workshops - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Communications in Computer and Information Science 1633, Springer 2022, ISBN 978-3-031-14342-7 [contents] - 2021
- [j2]Lukas Fischer
AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. 3(1): 56-83 (2021) - [c7]Michal Bechny
Missing Data Patterns: From Theory to an Application in the Steel Industry. SSDBM 2021: 214-219 - [e1]Gabriele Kotsis, A Min Tjoa
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings. Communications in Computer and Information Science 1479, Springer 2021, ISBN 978-3-030-87100-0 [contents] - [i2]Florian Sobieczky, Salma Mahmoud, Simon Neugebauer, Lukas Rippitsch, Manuela Geiß
Explainable AI by BAPC - Before and After correction Parameter Comparison. CoRR abs/2103.07155 (2021) - 2020
- [c6]Lukas Fischer
Applying AI in Practice: Key Challenges and Lessons Learned. CD-MAKE 2020: 451-471 - [c5]Salma Mahmoud, Florian Sobieczky, Jorge Martínez Gil, Patrick Praher, Bernhard Freudenthaler:
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. ISM 2020: 466-475 - [c4]Simon Neugebauer, Lukas Rippitsch, Florian Sobieczky, Manuela Geiß
Explainability of AI-predictions based on psychological profiling. ISM 2020: 1003-1012 - [i1]Ramin Nikzad-Langerodi, Florian Sobieczky:
Graph-based calibration transfer. CoRR abs/2006.00089 (2020)
2010 – 2019
- 2019
- [c3]Florian Sobieczky:
Unimodularity of Network Representations of Time-Series for Unbiased Parameter Estimation. EUROCAST (1) 2019: 167-175 - [c2]Patrick Praher, Bernhard Freudenthaler, Werner Schröder, Florian Sobieczky:
Enhancing Industrial Maintenance Through Intelligent Data Analysis. EUROCAST (2) 2019: 469-476 - 2010
- [j1]Florian Sobieczky, Gerhard Rappitsch, Ernst Stadlober:
Tandem queues for inventory management under random perturbations. Qual. Reliab. Eng. Int. 26(8): 899-907 (2010)
1990 – 1999
- 1996
- [c1]Florian Sobieczky:
Visualization of Roughness in Musical Consonance. IEEE Visualization 1996: 355-357
Coauthor Index
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