notesum.ai

Published at November 15

Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection

physics.ao-ph

cs.AI

Released Date: November 15, 2024

Authors: J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam, Antonello Squintu, Cosmin M. Marina, Eugenio Lorente-Ramos, Niklas Luther, Veronica Torralba, Enrico Scoccimarro, Leone Cavicchia, Matteo Giuliani, Eduardo Zorita, Felicitas Hansen, David Barriopedro, Ricardo Garcia-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, S. Salcedo-Sanz

Arxiv: http://arxiv.org/abs/2411.10108v1

ML Methods	LGBM		SVC
	num leaves	20-200	C	0.1-1000
	n estimators	50-500	Gamma	0.001-1
			Kernel	rbf
	DT		RF
	max depth	1-50	n estimators	100-600
	min samples leaf	1-50	bootstraps	True/False
	GNB		KNN
	var smoothing	-9-0	n neighbors	3-30
	AB		ELM
	n estimators	50-200	n neurons	10-500
	learning rate	0.001-10
	GB		MLP
	n estimators	50-300	n layers	1-4
	learning rate	0.01-0.2	n neurons	32-512
	max depth	1-9	activation	relu
			solver	adam
			alpha	0.0001-0.01
			batch size	16-64
			learning rate	0.0001-0.01
			max iters	200-600