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Simon Staudinger, MSc

Simon Staudinger

Scientific Employee

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
(Master Thesis, 2019)
2022 - 2024Research Collaboration Towards Greener Aviation (OeAD, WTZ Serbia)
Funding:OEAD - Austria's Agency for Education and Internationalisation
B. Aigner:
Geschäftsprozessmanagementsystem für mehrstufige Geschäftsprozesse auf Basis von Multilevel Business Artifacts
(Master Thesis, 2024)
Masterarbeit zur Erlangung des akademischen Grades Master of Science im Masterstudium Wirtschaftsinformatik
G. Van Bree:
Using Machine Learning to Identify Incorrect Value-Added Tax Reports
(Master Thesis, 2024)
Master Thesis to obtain the academic degree of Master of Science in the Master's Program Economic and Business Analytics (EBA).
D. Zangerle:
Erhebung der aktuellen und geplanten Maßnahmen zur Reduzierung der Umwelteinflüsse des Flugverkehrs durch Flugsicherungsorganisationen
(Master Thesis, 2024)
M. Azuero:
Topic Modeling and Sentiment Analysis for Predicting the Direction of Movement of the S&P 500 Index Based on Financial News
(Master Thesis, 2024)
Master Thesis to obtain the academic degree of Master of Science in the Master's Program Economic and Business Analytics (EBA).
A. Wirth:
Performance and Scalability of Learned Index Structures in the Wild
(Master Thesis, 2024)
T. Luu:
A recommender system for research papers in medicine at Bloom Diagnostics
(Master Thesis, 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
(Master Thesis, 2023)
F. Görner:
Design and Implementation of a Module for the Alpha Algorithm in the Learning Platform eTutor++
(Master Thesis, 2023)

Simon Staudinger teaches the following courses on a regular basis:

UEData MiningSummer term
UEData ModelingWinter term
PRData & Knowledge EngineeringEvery term