Similarity measure for Public Persons. - Andreas Stöckl (CoRR, 2018)

Detecting Satire in the News with Machine Learning. - Andreas Stöckl (CoRR, 2018)

Gazing at Pac-Man: Lessons learned from a Eye-Tracking Study Focusing on Game Difficulty. - Michael Lankes; Andreas Stöckl (ETRA Short Papers, 2020)

InstaVis: Visualizing Clusters of Instagram Message Feeds. - Andreas Stöckl; Jeremiah Diephuis; Andrea Aschauer (IV, 2020)

Watching a Language Model Learning Chess. - Andreas Stöckl (RANLP, 2021)

Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals. - Eva-Maria Spitzer; Oliver Krauss; Andreas Stöckl (DEXA (1), 2022)

Anomaly-Based Risk Detection Using Digital News Articles. - Andreas Pointner; Eva-Maria Spitzer; Oliver Krauss; Andreas Stöckl (IntelliSys (1), 2022)

Natural Language Interface for Data Visualization with Deep Learning Based Language Models. - Andreas Stöckl (IV, 2022)

Evaluating a Synthetic Image Dataset Generated with Stable Diffusion. - Andreas Stöckl (CoRR, 2022)

Game Reviews Reviewed: A Game Designer's Perspective on AI-generated Game Review Analyses. - Michael Lankes; Andreas Stöckl (CoG, 2023)

Nutzung von Studienverlaufsdaten im Kontext eines Studienplanungsassistenten. - Tobias Hirmer; Michaela Ochs; Andreas Stöckl; Adrian Völker (DELFI Workshops, 2023)

Analyzing the Innovative Potential of Texts Generated by Large Language Models: An Empirical Evaluation. - Oliver Krauss; Michaela Jungwirth; Marius Elflein; Simone Sandler; Christian Altenhofer; Andreas Stöckl (DEXA Workshops, 2023)

Application of Language Models for the Segmentation of Website Visitors. - Andreas Stöckl; Oliver Krauss (IntelliSys (3), 2023)

Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors. - Samuel Zühlke; Andreas Stöckl; David C. Schedl (CoRR, 2023)

Machine Learning Based Compensation for Inconsistencies in Knitted Force Sensors. - Roland Aigner; Andreas Stöckl (CoRR, 2023)

The Human-Centered AI-DATA Model for Onsite Customer Journeys in E-Commerce. - Heidrun Mühle; Simone Sandler; Oliver Krauss; Andreas Stöckl (EUROCAST (2), 2024)

Modeling Wildlife Accident Risk with Gaussian Mixture Models. - Christoph Praschl; David C. Schedl; Andreas Stöckl (EUROCAST (2), 2024)

Using LLMs and Websearch in Order to Perform Fact Checking on Texts Generated by LLMs. - Simone Sandler; Oliver Krauss; Andreas Stöckl (EUROCAST (2), 2024)

Are AI Agents interacting with Online Ads? - Andreas Stöckl; Joel Nitu (CoRR, 2025)

Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements. - Joel Nitu; Heidrun Mühle; Andreas Stöckl (CoRR, 2025)