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Employing Explainable Ai Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting

AuthID
P-017-E4T

Author(s)

Oliveira, P

Franco, F

Bessa, A

Duraes, D

Novais, P

Editor(es)

Julian,V;Camacho,D;Yin,H;Alberola,JM;Nogueira,VB;Novais,P;Tallon Ballesteros,A

Tipo de Documento

Proceedings Paper

Year published

2025

Publicado

in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2024, PT I in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 15346, Páginas: 325-336 (12)

Conference

25Th International Conference on Intelligent Data Engineering and Automated Learning, Date: NOV 20-22, 2024, Location: Valencia, SPAIN

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Scopus^®

Dblp^®/pt/publications/view/1292442

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Metadata
Fontes

Publication Identifiers

DOI: 10.1007/978-3-031-77731-8_30

DBLP: conf/ideal/OliveiraFBDN24

SCOPUS: 2-s2.0-85210519725

Wos: WOS:001422227800030

Source Identifiers

ISSN: 0302-9743

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Employing Explainable Ai Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting

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Employing Explainable Ai Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting

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