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GeaBase: a high-performance distributed graph database for industry-scale applications., , , , , , , , и . IJHPCN, 15 (1/2): 12-21 (2019)Case Adaptation with Neural Networks: Capabilities and Limitations., , и . ICCBR, том 13405 из Lecture Notes in Computer Science, стр. 143-158. Springer, (2022)On Combining Case Adaptation Rules., и . ICCBR, том 11680 из Lecture Notes in Computer Science, стр. 204-218. Springer, (2019)Enhancing Case-Based Reasoning with Neural Networks., , , and . Compendium of Neurosymbolic Artificial Intelligence, volume 369 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)Learning Adaptations for Case-Based Classification: A Neural Network Approach., , , and . ICCBR, volume 12877 of Lecture Notes in Computer Science, page 279-293. Springer, (2021)Harmonizing Case Retrieval and Adaptation with Alternating Optimization., and . ICCBR, volume 12877 of Lecture Notes in Computer Science, page 125-139. Springer, (2021)Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation., , and . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, volume 2846 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases., , , and . ICCBR, volume 12311 of Lecture Notes in Computer Science, page 245-260. Springer, (2020)Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach., , , and . ICCC, page 314-323. Association for Computational Creativity (ACC), (2022)Generating Counterfactual Images: Towards a C2C-VAE Approach., , , and . ICCBR Workshops, volume 3389 of CEUR Workshop Proceedings, page 189-194. CEUR-WS.org, (2022)