Holzinger, A., Kieseberg, P., Cabitza, F., Campagner, A., Tjoa, A. M., & Weippl, E. (Eds.). (2023). Machine Learning and Knowledge Extraction (Vol. 14065). Springer. https://doi.org/10.1007/978-3-031-40837-3
artificial intelligence; computer networks; computer science; computer systems; computer vision; cyber-insurance; risk management; risk modelling; Application of social network analysis techniques; Security and Privacy; interactive Machine Learning; Automatic User Interface Generation; Semantic Web; Internet of Everything; User Interface Ontologies; Commercial Exchange; Natural Language Generation; Sentiment Analysis; Text classification; Metric Spaces
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Abstract:
This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.
The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
