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Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning.

, , and . FLAIRS, AAAI Press, (2010)

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Feasibility study of utility-directed behaviour for computer game agents., , and . Advances in Computer Entertainment Technology, page 5. ACM, (2011)Scoped: Visualising the Scope Chain Within Source Code., , and . EuroVis (Short Papers), page 115-119. Eurographics Association, (2017)Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets., , and . CoRR, (2019)Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment., , and . TAROS, volume 8069 of Lecture Notes in Computer Science, page 363-374. Springer, (2013)Anomaly Detection in Raw Audio Using Deep Autoregressive Networks., and . ICASSP, page 3597-3601. IEEE, (2019)Stability of Topic Modeling via Matrix Factorization., , and . CoRR, (2017)Active learning for text classification with reusability., , and . Expert Syst. Appl., (2016)Real-time bidding campaigns optimization using user profile settings., , and . Electron. Commer. Res., 23 (2): 1297-1322 (June 2023)Deep learning at the shallow end: Malware classification for non-domain experts., , , and . Digit. Investig., (2018)The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection., , and . IEEE Access, (2022)