Andreas Stöckl

Orcid: 0000-0003-1646-0514

According to our database1, Andreas Stöckl authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Machine Learning Based Compensation for Inconsistencies in Knitted Force Sensors.
CoRR, 2023

Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors.
CoRR, 2023

Analyzing the Innovative Potential of Texts Generated by Large Language Models: An Empirical Evaluation.
Proceedings of the Database and Expert Systems Applications - DEXA 2023 Workshops, 2023

Nutzung von Studienverlaufsdaten im Kontext eines Studienplanungsassistenten.
Proceedings of DELFI Workshops 2023, 11.-13. September 2023, Aachen, 2023

Game Reviews Reviewed: A Game Designer's Perspective on AI-generated Game Review Analyses.
Proceedings of the IEEE Conference on Games, 2023

2022
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion.
CoRR, 2022

Natural Language Interface for Data Visualization with Deep Learning Based Language Models.
Proceedings of the 26th International Conference Information Visualisation, 2022

Anomaly-Based Risk Detection Using Digital News Articles.
Proceedings of the Intelligent Systems and Applications, 2022

Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals.
Proceedings of the Database and Expert Systems Applications, 2022

2021
Watching a Language Model Learning Chess.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020
InstaVis: Visualizing Clusters of Instagram Message Feeds.
Proceedings of the 24th International Conference on Information Visualisation, 2020

Gazing at Pac-Man: Lessons learned from a Eye-Tracking Study Focusing on Game Difficulty.
Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020

2018
Detecting Satire in the News with Machine Learning.
CoRR, 2018

Similarity measure for Public Persons.
CoRR, 2018


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