Alessa Angerschmid - Concepedia

Author

Alessa Angerschmid

BOKU University ORCID

Also Known As

Alessa Angerschmid

Publications

675

Citations

H-Index

Concepts

All Affiliations

BOKU University Medical University of Graz University of Alberta Graz University of Technology

About

Alessa Angerschmid is an author at BOKU University specializing in artificial intelligence, engineering, and intelligent systems.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	416
2	Cognitive Science	2	2	236
3	Arts	1	1	138
4	Education	1	1	98
5	Behavioral Sciences	1	1	138

Alessa Angerschmid

Publications

613

Citations

H-Index

Page 1

	Year	Citations
Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Sensors Artificial IntelligenceEngineeringMachine LearningAi FoundationIntelligent Systems	2022	157
Fairness and Explanation in AI-Informed Decision Making Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Machine Learning and Knowledge Extraction Artificial IntelligenceEngineeringAi-assisted Decision-makingCommunicationAi Explanations	2022	138
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, Cognitive Systems Research	2024	123
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Journal of Artificial Intelligence Research Artificial IntelligenceEngineeringEducationReinforcement Learning (Educational Psychology)Intelligent Systems	2024	98
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks Jacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid, Journal of Biomedical Informatics	2024	44
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, Machine Learning and Knowledge Extraction Artificial IntelligenceEngineeringMachine LearningAggregation FunctionsAi Foundation	2022	23
Assessing trustworthy AI: Technical and legal perspectives of fairness in AI Markus Kattnig, Alessa Angerschmid, Thomas Reichel, Computer law & security review	2024	17
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, KI - Künstliche Intelligenz	2022	13

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