Alessa Angerschmid

According to our database, Alessa Angerschmid authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

col-LAUT - Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands.

Sarah Wagner, Alessa Angerschmid, Anna Saranti, Christoph Gollob, Tim Ritter, Ralf Krassnitzer, Andreas Tockner, Sarah Witzmann, Andreas Holzinger, Karl Stampfer, Arne Nothdurft

Dataset, February, 2024

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.

Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger

J. Artif. Intell. Res., 2024

2023

Toward human-level concept learning: Pattern benchmarking for AI algorithms.

Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Bettina Finzel, Ute Schmid, Heimo Müller

Patterns, August, 2023

2022

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning.

Anna Saranti, Miroslav Hudec, Erika Mináriková, Zdenko Takác, Udo Großschedl, Christoph Koch, Bastian Pfeifer, Alessa Angerschmid, Andreas Holzinger

Mach. Learn. Knowl. Extr., December, 2022

Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.

Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Andreas Gronauer, Vladimir Pejakovic, Francisco Medel-Jimenez, Theresa Krexner, Christoph Gollob, Karl Stampfer

Sensors, 2022

Fairness and Explanation in AI-Informed Decision Making.

Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen, Andreas Holzinger

Mach. Learn. Knowl. Extr., 2022

Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.

Bettina Finzel, Anna Saranti, Alessa Angerschmid, David E. Tafler, Bastian Pfeifer, Andreas Holzinger

Künstliche Intell., 2022

Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations.

Ferdinand Hönigsberger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Christoph Gollob, Sarah Witzmann, Arne Nothdurft, Peter Kieseberg, Andreas Holzinger, Karl Stampfer

Proceedings of the Machine Learning and Knowledge Extraction, 2022

Effects of Fairness and Explanation on Trust in Ethical AI.

Alessa Angerschmid, Kevin Theuermann, Andreas Holzinger, Fang Chen, Jianlong Zhou

Proceedings of the Machine Learning and Knowledge Extraction, 2022