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Characterizing Relationships through Co-clustering - A Probabilistic Approach.

, , , and . KDIR, page 64-73. SciTePress, (2011)

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Machine learning methods for generating high dimensional discrete datasets., , , , and . WIREs Data Mining Knowl. Discov., (2022)Clustering of XML Documents by Structure based on Tree Matching and Merging., , , and . SEBD, page 314-325. (2004)Sequential Variational Autoencoders for Collaborative Filtering., , , and . CoRR, (2018)ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper)., , , , , and . SEBD, volume 3478 of CEUR Workshop Proceedings, page 514-524. CEUR-WS.org, (2023)Temporal Recurrent Activation Networks., , and . SEBD, volume 2161 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Deep Autoencoder Ensembles for Anomaly Detection on Blockchain., , , , and . ISMIS, volume 12117 of Lecture Notes in Computer Science, page 448-456. Springer, (2020)Revealing MageCart-like Threats in Favicons via Artificial Intelligence., , , , and . ARES, page 45:1-45:7. ACM, (2022)Learning Ideological Embeddings from Information Cascades., , , and . CIKM, page 1325-1334. ACM, (2021)Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations., , and . CoRR, (2024)Balanced Quality Score: Measuring Popularity Debiasing in Recommendation., , , , , and . ACM Trans. Intell. Syst. Technol., 15 (4): 74:1-74:27 (August 2024)