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Multi-view Deep Markov Models for Time Series Anomaly Detection., , and . IEEE Big Data, page 799-808. IEEE, (2023)Neural Topic Models for Hierarchical Topic Detection and Visualization., and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 35-51. Springer, (2021)Word Clouds with Latent Variable Analysis for Visual Comparison of Documents., and . IJCAI, page 2536-2543. IJCAI/AAAI Press, (2016)SemVis: Semantic Visualization for Interactive Topical Analysis., and . CIKM, page 2487-2490. ACM, (2017)Ontology-based proximity search., , , and . iiWAS, page 288-291. ACM, (2011)Probabilistic Latent Document Network Embedding., and . ICDM, page 270-279. IEEE Computer Society, (2014)Combining Named Entities with WordNet and Using Query-Oriented Spreading Activation for Semantic Text Search., , and . RIVF, page 1-6. IEEE, (2010)SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection., and . PAKDD (1), volume 14645 of Lecture Notes in Computer Science, page 78-90. Springer, (2024)Focused Stochastic Neighbor Embedding for Better Preserving Points of Interest., , , and . BDCAT, page 259-264. IEEE, (2022)Auto-Encoding Variational Bayes for Inferring Topics and Visualization., and . COLING, page 5223-5234. International Committee on Computational Linguistics, (2020)