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Toward human-level concept learning: Pattern benchmarking for AI algorithms.
Patterns (N Y). 2023 Jul 5;4(8):100788. doi: 10.1016/j.patter.2023.100788. eCollection 2023 Aug 11.
Patterns (N Y). 2023.
PMID: 37602217
Free PMC article.
Review.
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.
Finzel B, Saranti A, Angerschmid A, Tafler D, Pfeifer B, Holzinger A.
Finzel B, et al. Among authors: angerschmid a.
Kunstliche Intell (Oldenbourg). 2022;36(3-4):271-285. doi: 10.1007/s13218-022-00781-7. Epub 2022 Nov 7.
Kunstliche Intell (Oldenbourg). 2022.
PMID: 36590103
Free PMC article.
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CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks.
Metsch JM, Saranti A, Angerschmid A, Pfeifer B, Klemt V, Holzinger A, Hauschild AC.
Metsch JM, et al. Among authors: angerschmid a.
J Biomed Inform. 2024 Feb;150:104600. doi: 10.1016/j.jbi.2024.104600. Epub 2024 Jan 30.
J Biomed Inform. 2024.
PMID: 38301750
Free article.
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Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.
Holzinger A, Saranti A, Angerschmid A, Retzlaff CO, Gronauer A, Pejakovic V, Medel-Jimenez F, Krexner T, Gollob C, Stampfer K.
Holzinger A, et al. Among authors: angerschmid a.
Sensors (Basel). 2022 Apr 15;22(8):3043. doi: 10.3390/s22083043.
Sensors (Basel). 2022.
PMID: 35459028
Free PMC article.
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