output
20192026
most citedSistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales

19 citations

8 papers

stat.ME2026★ 1 cited

From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis

José Camacho, Jokin Ezenarro, Daniel Schorn-García +1

ANOVA Simultaneous Component Analysis (ASCA) is the current state-of-theart chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Expe…

astro-ph.EP2026★ 3 cited

Demographics of Close-In TESS Exoplanets Orbiting FGK Main-sequence Stars

Kaiming Cui, David J. Armstrong, Andreas Hadjigeorghiou +5

Understanding the demographics of close-in planets is crucial for insights into exoplanet formation and evolution. We present a detailed analysis of occurrence rates for close-in (…

math.AP2025

Existence results for quasimonotone elliptic systems with growth up to critical exponents

Shalmali Bandyopadhyay, Briceyda B. Delgado, Nsoki Mavinga +1

We establish the existence of weak solutions of coupled systems of elliptic partial differential equations with quasimonotone nonlinearities in the differential equation and on the…

cs.AI2025

A Multimodal Conversational Assistant for the Characterization of Agricultural Plots from Geospatial Open Data

Juan Cañada, Raúl Alonso, Julio Molleda +1

The increasing availability of open Earth Observation (EO) and agricultural datasets holds great potential for supporting sustainable land management. However, their high technical…

stat.ME2024★ 1 cited

Semi-functional partial linear regression with measurement error: An approach based on NN estimation

Silvia Novo, Germán Aneiros, Philippe Vieu

This paper focuses on a semiparametric regression model in which the response variable is explained by the sum of two components. One of them is parametric (linear), the correspond…

stat.ME2024★ 7 cited

A NN procedure in semiparametric functional data analysis

Silvia Novo, Germán Aneiros, Philippe Vieu

A fast and flexible NN procedure is developed for dealing with a semiparametric functional regression model involving both partial-linear and single-index components. Rates of u…