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Classifying gene data with regularized ensemble trees., , , и . ICMLC, стр. 134-139. IEEE, (2015)Scalable Random Forests for Massive Data., , , , и . PAKDD (1), том 7301 из Lecture Notes in Computer Science, стр. 135-146. Springer, (2012)EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding., , , и . WebSci, стр. 311-320. ACM, (2019)Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness., , , , , , и . ICANN (5), том 15020 из Lecture Notes in Computer Science, стр. 33-47. Springer, (2024)Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data., , , , и . PAKDD (1), том 7301 из Lecture Notes in Computer Science, стр. 147-158. Springer, (2012)CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning., , и . ICANN (1), том 12891 из Lecture Notes in Computer Science, стр. 105-116. Springer, (2021)Extensions to Quantile Regression Forests for Very High-Dimensional Data., , , , и . PAKDD (2), том 8444 из Lecture Notes in Computer Science, стр. 247-258. Springer, (2014)DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention., , , и . ICANN (1), том 13529 из Lecture Notes in Computer Science, стр. 121-132. Springer, (2022)Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference., , , и . ECML/PKDD (4), том 14172 из Lecture Notes in Computer Science, стр. 142-158. Springer, (2023)Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts., , и . ICONIP (3), том 13625 из Lecture Notes in Computer Science, стр. 521-532. Springer, (2022)