2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Approaching sales forecasting using recurrent neural networks and transformers
Iván Vallés-Pérez, Emilio Soria-Olivas, Marcelino Martínez-Sober +3
Accurate and fast demand forecast is one of the hot topics in supply chain for enabling the precise execution of the corresponding downstream processes (inbound and outbound planni…
physics.geo-ph2020
Learning Structures in Earth Observation Data with Gaussian Processes
Fernando Mateo, Jordi Munoz-Mari, Valero Laparra +2
Gaussian Processes (GPs) has experienced tremendous success in geoscience in general and for bio-geophysical parameter retrieval in the last years. GPs constitute a solid Bayesian…