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SoftId: An autoencoder-based one-class classification model for software authorship identification., , , и . KES, том 207 из Procedia Computer Science, стр. 716-725. Elsevier, (2022)Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes., , , и . KES, том 159 из Procedia Computer Science, стр. 48-57. Elsevier, (2019)A new incremental relational association rules mining approach., , и . KES, том 126 из Procedia Computer Science, стр. 126-135. Elsevier, (2018)DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling., , , , , , и . KES, том 159 из Procedia Computer Science, стр. 97-106. Elsevier, (2019)AutoAt: A deep autoencoder-based classification model for supervised authorship attribution., , и . KES, том 192 из Procedia Computer Science, стр. 397-406. Elsevier, (2021)Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors., , , и . ICSOFT, стр. 249-257. SCITEPRESS, (2023)Analyzing the Impact of Protein Representation on Mining Structural Patterns from Protein Data., , и . SACI, стр. 533-538. IEEE, (2018)Machine Learning Based Approaches for Sex Identification in Bioarchaeology., , , и . SYNASC, стр. 311-314. IEEE, (2016)Instance based learning approaches for predicting the height of human skeletons., , , и . ICCP, стр. 309-316. IEEE, (2015)A Q-learning approach for aligning protein sequences., , и . ICCP, стр. 51-58. IEEE, (2015)