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The "code" of Ethics: A Holistic Audit of AI Code Generators.

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Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation., , , , , и . Neurocomputing, (2022)Concept Drift Detection Delay Index., , , , и . IEEE Trans. Knowl. Data Eng., 35 (5): 4585-4597 (мая 2023)The "code" of Ethics: A Holistic Audit of AI Code Generators., , , , и . CoRR, (2023)A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system., , , и . Appl. Soft Comput., (2016)Learn-to-adapt: Concept drift adaptation for hybrid multiple streams., , , и . Neurocomputing, (2022)Learning Data Streams With Changing Distributions and Temporal Dependency., , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (8): 3952-3965 (августа 2023)Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams., , , и . IEEE Trans. Fuzzy Syst., 28 (3): 544-557 (2020)Concept Drift Adaptation for Real-time Prediction. University of Technology Sydney, Australia, (2021)A Segment-Based Drift Adaptation Method for Data Streams., , , , и . IEEE Trans. Neural Networks Learn. Syst., 33 (9): 4876-4889 (2022)A fuzzy kernel c-means clustering model for handling concept drift in regression., , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)