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Flexible Construction of Executable Service Compositions from Reusable Semantic Knowledge.

, , and . TWEB, 10 (1): 5:1-5:27 (2016)

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Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach., and . CoRR, (2020)On the role of knowledge graphs in explainable AI.. Semantic Web, 11 (1): 41-51 (2020)Composition de Services Web: Une Approche basée Liens Sémantiques. (Web Service Composition : Semantic Links based Approach).. École nationale supérieure des mines de Saint-Étienne, France, (2008)Knowledge-Based Explanations for Transfer Learning., , , and . Knowledge Graphs for eXplainable Artificial Intelligence, volume 47 of Studies on the Semantic Web, IOS Press, (2020)Scalable Maintenance of Knowledge Discovery in an Ontology Stream.. IJCAI, page 1457-1463. AAAI Press, (2015)The Effect of Data Poisoning on Counterfactual Explanations., , , and . CoRR, (2024)Explainable prediction of Qcodes for NOTAMs using column generation., , , and . CoRR, (2022)Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education., , , , , , , , and . CoRR, (2024)REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values., , , , , and . CoRR, (2024)User Scored Evaluation of Non-Unique Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs., , and . K-CAP, page 57-64. ACM, (2021)