Explaining Meta-learner’s Predictions: Case of Corporate CO2 Emissions
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63110-8_8
Reference15 articles.
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3. Delanoë, P., Tchuente, D., Colin, G.: Method and evaluations of the effective gain of artificial intelligence models for reducing co2 emissions. J. Environ. Manage. 331, 117261 (2023)
4. Goldhammer, B., Busse, C., Busch, T.: Estimating corporate carbon footprints with externally available data. J. Ind. Ecol. 21(5), 1165–1179 (2017)
5. Griffin, P.A., Lont, D.H., Sun, E.Y.: The relevance to investors of greenhouse gas emission disclosures. Contemp. Account. Res. 34(2), 1265–1297 (2017)
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