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Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals

AuthID
P-00Z-5B2

Author(s)

Mamede, R

Paiva, N

Gama, J

Editor(s)

Bifet,A;Lorena,AC;Ribeiro,RP;Gama,J;Abreu,PH

Document Type

Proceedings Paper

Year published

2023

Published

in Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 14276, Pages: 661-672 (11)

Conference

26Th International Conference on Discovery Science, Ds 2023, Date: 9 October 2023 through 11 October 2023, Location: Porto

Indexing

Scopus^®

Dblp^®/en/publications/view/1021282

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Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-45275-8_44

DBLP: conf/dis/MamedePG23

SCOPUS: 2-s2.0-85174303896

Source Identifiers

ISSN: 0302-9743

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Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals

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Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals

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