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Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

AuthID
P-017-YF6

Author(s)

Roque, L

Cerqueira, V

Soares, C

Torgo, L

Editor(s)

Walsh,T;Shah,J;Kolter,Z

Document Type

Proceedings Paper

Year published

2025

Published

in AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA in AAAI, ISSN: 2159-5399

Volume: 39, Issue: 19, Pages: 20192-20199 (7)

Conference

39Th Annual Aaai Conference on Artificial Intelligence, Aaai 2025, Date: 25 February 2025 through 4 March 2025, Location: Philadelphia

Indexing

Scopus^®

Dblp^®/en/publications/view/1309158

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1609/aaai.v39i19.34224

Dblp: conf/aaai/RoqueCST25

Scopus: 2-s2.0-105004324326

Source Identifiers

ISSN: 2159-5399

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Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

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