Fairness and explanation in AI-informed decision making A Angerschmid, J Zhou, K Theuermann, F Chen, A Holzinger Machine Learning and Knowledge Extraction 4 (2), 556-579, 2022 | 89 | 2022 |
Digital transformation in smart farm and forest operations needs human-centered AI: challenges and future directions A Holzinger, A Saranti, A Angerschmid, CO Retzlaff, A Gronauer, ... Sensors 22 (8), 3043, 2022 | 69 | 2022 |
Actionable explainable AI (AxAI): a practical example with aggregation functions for adaptive classification and textual explanations for interpretable machine learning A Saranti, M Hudec, E Mináriková, Z Takáč, U Großschedl, C Koch, ... Machine Learning and Knowledge Extraction 4 (4), 924-953, 2022 | 22 | 2022 |
Generating explanations for conceptual validation of graph neural networks: An investigation of symbolic predicates learned on relevance-ranked sub-graphs B Finzel, A Saranti, A Angerschmid, D Tafler, B Pfeifer, A Holzinger KI-Künstliche Intelligenz 36 (3), 271-285, 2022 | 17 | 2022 |
Toward human-level concept learning: Pattern benchmarking for AI algorithms A Holzinger, A Saranti, A Angerschmid, B Finzel, U Schmid, H Mueller Patterns, 2023 | 11 | 2023 |
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities CO Retzlaff, S Das, C Wayllace, P Mousavi, M Afshari, T Yang, A Saranti, ... Journal of Artificial Intelligence Research 79, 359-415, 2024 | 10 | 2024 |
Machine learning and knowledge extraction to support work safety for smart forest operations F Hoenigsberger, A Saranti, A Angerschmid, CO Retzlaff, C Gollob, ... International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 8 | 2022 |
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification B Pfeifer, H Chereda, R Martin, A Saranti, S Clemens, AC Hauschild, ... Bioinformatics 39 (11), btad703, 2023 | 6 | 2023 |
Effects of Fairness and Explanation on Trust in Ethical AI A Angerschmid, K Theuermann, A Holzinger, F Chen, J Zhou International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 6 | 2022 |
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks JM Metsch, A Saranti, A Angerschmid, B Pfeifer, V Klemt, A Holzinger, ... Journal of Biomedical Informatics 150, 104600, 2024 | 3 | 2024 |
CLARUS: an interactive explainable AI platform for manual counterfactuals in graph neural networks J Beinecke, A Saranti, A Angerschmid, B Pfeifer, V Klemt, A Holzinger, ... bioRxiv, 2022.11. 21.517358, 2022 | 3 | 2022 |
Interactive explainable AI platform for graph neural networks J Beinecke, A Saranti, A Angerschmid, B Pfeifer, V Klemt, A Holzinger, ... | 1 | 2022 |
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists CO Retzlaff, A Angerschmid, A Saranti, D Schneeberger, R Roettger, ... Cognitive Systems Research, 101243, 2024 | | 2024 |
Correction: Generating Explanations for Conceptual Validation of Graph Neural Networks B Finzel Deutsche Nationalbibliothek, 2022 | | 2022 |
Digitalisierung in der Forsttechnik State‐of‐the‐art A Holzinger, A Saranti, A Angerschmid, CO Retzlaff, L Matiz, S Witzmann, ... | | 2022 |
Assessing Trustworthy Ai: Technical and Legal Perspectives of Fairness in Ai M Kattnig, A Angerschmid, T Reichel, R Kern Available at SSRN 4705900, 0 | | |
Digital Transformation in Smart Farm and Forest Operations needs Human‐Centered AI A Holzinger, A Saranti, A Angerschmid, CO Retzlaff, C Gollob, A Nothdurft, ... | | |