Simon Staudinger, MSc
![Simon Staudinger](rest/dke_web_res/staff/staudinger_simon/staudinger_simon.jpg)
Wissenschaftlicher Mitarbeiter
- Science Park 3 - S3 105
- +43 732 2468 4287
- simon.staudinger(at)jku.at
- Sprechstunden:nach Vereinbarung
S. Staudinger, C. Schütz, M. Schrefl: A Reference Process for Assessing the Reliability of Predictive Analytics Results In: Journal Springer Nature Computer Science (SNCS), Editors: Slimane Hammoudi and Christoph Quix, Volume 5, Article No. 563, Springer Verlag, 27 pages, ISSN (electr.): 2661-8907, DOI: https://doi.org/10.1007/s42979-024-02892-4, 2024. |
G. Van Bree, S. Staudinger, F. Burgstaller, F. Schiff, C. Schütz: Using Machine Learning to Identify Incorrect Value-Added Tax Reports In: Proceedings of the 30th Americas Conference on Information Systems (AMCIS 2024), Salt Lake City, Utah, August 15-17, 2024, Association for Information Systems (AIS), 2024. |
E. Ganic, C. Schütz, S. Staudinger: Current ANSP Practices Towards Reducing the Environmental Impact of Air Traffic Operations In: Proceedings of the 13th International Conference on Innovation in Aviation and Space for opening New Horizons (EASN 2023), Salerno, Italy, September 5-8, 2023, Abstract, 1 page, 2023. |
S. Staudinger, C. Schütz, M. Schrefl: Using Multilevel Business Artifacts for Knowledge Management in Analytics Projects In: Proceedings of the 10th International Workshop on Multi-Level Modeling (MULTI 2023) in conjunction with the 26th International Conference on Model Driven Engineering Languages and Systems (MODELS 2023), October 1-6, 2023, Västeras, Sweden, Website MULTI: https://jku-win-dke.github.io/MULTI2023/, IEEE Press, pp. 689-698 (10 pages), DOI:10.1109/MODELS-C59198.2023.00110, 2023. |
E. Ganic, S. Staudinger, C. Schütz, C. Vinueza: Using Service-Level Mobile Internet Traffic Data to Estimate Noise Impact of Flight Trajectories on the Population In: NetMob 2023 Data Challenge, October 4-6, 2023, Universidad Carlos III de Madrid, Spain, NetMob 2023 Book of Abstracts, 2 pages, 2023. |
M. Luketina, T. Mathy, S. Staudinger, C. Schütz, M. Stadlbauer, I. Kuci: Predictive Analytics in der öffentlichen Verwaltung: Rechtliche und technische Aspekte, aktuelle Anwendungsfälle, Problembereiche und Möglichkeiten In: Zeitschrift für Energie- und Technikrecht (ZTR), Heft 4/2021, Pedell Wissenschaftsverlag, ISSN 2224-6819, Hrsg.: Andreas Hauer, pp. 150-160, 2021. |
S. Staudinger, C. Schütz, M. Schrefl: A Reference Process for Judging Reliability of Classification Results in Predictive Analytics In: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), July 6-8, 2021, SciTePress/Springer, ISBN 978-989-758-521-0, ISSN 2184-285X, presented at DATA 2021, Online, pp. 124-134, 2021. |
S. Staudinger: Eine grafische Benutzungsschnittstelle für Online Analytical Processing auf Basis von Analysesituationen und inkrementellen Manipulationsoperationen (Masterarbeit, 2019) |
2022 - 2024 | Research Collaboration Towards Greener Aviation (OeAD, WTZ Serbia) Fördergeber:OEAD - Austria's Agency for Education and Internationalisation |
D. Zangerle: Erhebung der aktuellen und geplanten Maßnahmen zur Reduzierung der Umwelteinflüsse des Flugverkehrs durch Flugsicherungsorganisationen (Masterarbeit, 2024) |
M. Azuero: Topic Modeling and Sentiment Analysis for Predicting the Direction of Movement of the S&P 500 Index Based on Financial News (Masterarbeit, 2024) |
A. Wirth: Performance and Scalability of Learned Index Structures in the Wild (Masterarbeit, 2024) |
T. Luu: A recommender system for research papers in medicine at Bloom Diagnostics (Masterarbeit, 2023) |
P. Badzura: Design and Implementation of a web-based User Interface for the guided Assessment of Reliability of Classification Results using the Perturbation Approach (Masterarbeit, 2023) |
F. Görner: Design and Implementation of a Module for the Alpha Algorithm in the Learning Platform eTutor++ (Masterarbeit, 2023) |
Folgende Lehrveranstaltungen werden von Simon Staudinger regelmäßig abgehalten:
UE | Data Mining | Sommersemester |
UE | Datenmodellierung | Wintersemester |
PR | Data & Knowledge Engineering | Jedes Semester |