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tcc2vec: RFM-informed representation learning on call graphs for churn prediction., , , и . Inf. Sci., (2021)Churn modeling with probabilistic meta paths-based representation learning., и . Inf. Process. Manag., 57 (2): 102052 (2020)AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection., , , и . PAKDD (1), том 12712 из Lecture Notes in Computer Science, стр. 701-713. Springer, (2021)SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces., , , и . SemEval@COLING, стр. 214-221. International Committee for Computational Linguistics, (2020)Neural Machine Translation for Conditional Generation of Novel Procedures., , , , , и . HICSS, стр. 1-10. ScholarSpace, (2021)Churn Prediction Using Dynamic RFM-Augmented Node2vec., , , и . PAP@PKDD/ECML, том 10708 из Lecture Notes in Computer Science, стр. 122-138. Springer, (2017)On Analyzing Annotation Consistency in Online Abusive Behavior Datasets., , , и . CoRR, (2020)Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge., , , , , , , и . ICDM (Workshops), стр. 1269-1278. IEEE, (2023)Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs., , , , , и . ASONAM, стр. 403-410. IEEE, (2022)Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction., , , , и . ASONAM, стр. 1234-1241. IEEE Computer Society, (2018)