Dokumentdetails
ID

oai:arXiv.org:2403.13545

Thema
Computer Science - Computer Vision... Computer Science - Machine Learnin...
Autor
Alexis, Konstantinos Girtsou, Stella Apostolakis, Alexis Giannopoulos, Giorgos Kontoes, Charalampos
Kategorie

Computer Science

Jahr

2024

Auflistungsdatum

27.03.2024

Schlüsselwörter
day task learning computer prediction fire
Metrisch

Zusammenfassung

In this paper we present a deep learning pipeline for next day fire prediction.

The next day fire prediction task consists in learning models that receive as input the available information for an area up until a certain day, in order to predict the occurrence of fire for the next day.

Starting from our previous problem formulation as a binary classification task on instances (daily snapshots of each area) represented by tabular feature vectors, we reformulate the problem as a semantic segmentation task on images; there, each pixel corresponds to a daily snapshot of an area, while its channels represent the formerly tabular training features.

We demonstrate that this problem formulation, built within a thorough pipeline achieves state of the art results.

;Comment: Accepted in MACLEAN@ECML/PKDD 2023

Alexis, Konstantinos,Girtsou, Stella,Apostolakis, Alexis,Giannopoulos, Giorgos,Kontoes, Charalampos, 2024, Next day fire prediction via semantic segmentation

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