output
20162026
most citedSistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales

19 citations

9 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…

astro-ph.EP2023★ 6 cited

ExoplANNET: A deep learning algorithm to detect and identify planetary signals in radial velocity data

L. A. Nieto, R. F. Díaz

The detection of exoplanets with the radial velocity method consists in detecting variations of the stellar velocity caused by an unseen sub-stellar companion. Instrumental errors,…

cs.LG2019★ 19 cited

Sistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales

Jose de Jesus Rubio, Jose Alberto Hernandez-Aguilar, Francisco Jacob Avila-Camacho +2

In the tasks of environmental monitoring is of great importance to have compact and portable systems able to identify environmental contaminants that facilitate tasks related to wa…

math.CO2016★ 2 cited

A note on the tolerated Tverberg theorem

Natalia García-Colín, Miguel Raggi, Edgardo Roldán-Pensado

In this paper we give an asymptotically tight bound for the tolerated Tverberg Theorem when the dimension and the size of the partition are fixed. To achieve this we study certain…