Analyzing concept drift and shift from sample data

By Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals, Franccois Petitjean. 2018

105 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing

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In Artificial Intelligence

1. David Leslie

Citations in the corpus

• Understanding artificial intelligence ethics and safety (2019, background): “All research undertaken by the Turing's Public Policy Programme is supported entirely by public funds. https://www.turing.ac.uk/research/research-programmes/public-policy This work is licensed under the terms of the Creative Commons Attribution License 4.0 which permits unrestricted use, provided th”
• Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees (2022, unknown): “…used as benchmarks for supervised classification under concept drift (Pavlidis et al., 2011; Kumagai & Iwata, 2016; Lu et al., 2016; Nguyen et al., 2017; Webb et al., 2018): “Weather”, “Elec2”, “Airlines”, “German”, “Chess”, “Usenet1”, “Usenet2”, “Email Spam”, “Credit card”, “Smart grid sta-1 Time t”