Results 21 to 30 of about 808,146 (120)

Pronósticos de inflación con métodos de aprendizaje automático [PDF]

, 2021
El objetivo de este trabajo es evaluar el desempeño de un conjunto de técnicas de aprendizaje automático supervisado a la hora de predecir la inflación interanual de Uruguay. En particular, se utilizan los métodos Regresión Ridge, Lasso, adaptive-Lasso y
Romero, Zelmar
core   +4 more sources

Aprendizaje automático [PDF]

, 2008
Clasificación de los métodos de aprendizaje automático. Métodos basado en corpus anotados. Aplicación al Procesamiento del Lenguaje Natural.
Suárez Cueto, Armando
core   +1 more source

Frequency Analysis and Transfer Learning Across Different Body Sensor Locations in Parkinson’s Disease Detection Using Inertial Signals

Engineering Proceedings
A detailed analysis of the inertial signals input is required when using deep learning models for Parkinson’s Disease detection. This work explores the possibility of reducing the input size of the models by studying the most appropriate frequency range ...
Alejandro Rey-Díaz, Iván Martín-Fernández, Rubén San-Segundo, Manuel Gil-Martín   +3 more
doaj   +1 more source

Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction

Sensors
The accurate modelling of video memorability, or the intrinsic properties that render a piece of audiovisual content more likely to be remembered, will facilitate the development of automatic systems that are more efficient in retrieving, classifying and
Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín   +3 more
doaj   +1 more source

Modelos computacionales en la posturografía

Tecnura, 2022
Objetivo: Realizar la clasificación y el mapeo de parámetros de balanceo corporal a partir de datos de posturografía estática para diferenciar individuos amputados transtibiales unilaterales de no amputados utilizando técnicas de aprendizaje automático y
Lely Adriana Luengas, Luis Felipe Wanumen Silva   +1 more
doaj   +1 more source

From Indicator to Prediction: Five Decades of Biochemical Oxygen Demand Research in Tropical Freshwaters

World Water Policy, Volume 12, Issue 4, November 2026.
ABSTRACT Biochemical oxygen demand (BOD) remains a core indicator of organic pollution in freshwater monitoring, but its role in water policy and practice is changing as water‐quality assessment moves toward predictive, integrative, and decision‐support approaches.
Isadora Favero Roque Cenci, Stephany Luz, Cássia Alves Lima‐Rezende, Jean Carlo Bacca, Karling Fernanda Schuster, Renan de Souza Rezende   +5 more
wiley   +1 more source

Aprendizaje automático

, 2021
En este libro se introducen los conceptos básicos en una de las ramas más estudiadas actualmente dentro de la inteligencia artificial: el aprendizaje automático.
Moreno, Antonio
core  

Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization

Mathematics
We present a method for 3D gravity inversion using ellipsoidal parametrization and Particle Swarm Optimization (PSO), aimed at estimating the geometry, density contrast, and orientation of subsurface bodies from gravity anomaly data.
Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez   +3 more
doaj   +1 more source

Impacto del aula invertida en el proceso de enseñanza-aprendizaje sobre los mapas de Karnaugh

Revista Electrónica Educare, 2021
Esta investigación cuantitativa analiza el impacto del aula invertida en el proceso de enseñanza-aprendizaje sobre los mapas de Karnaugh, para ello considera la ciencia de datos, las redes neuronales y el aprendizaje automático (regresión lineal).
Ricardo Adán Salas-Rueda
doaj   +1 more source

Machine learning for prediction of large‐for‐gestational‐age neonate with adverse outcome at routine ultrasound examination at 35–37 weeks

Ultrasound in Obstetrics &Gynecology, Volume 68, Issue 3, Page 361-371, September 2026.
ABSTRACT Objectives To evaluate the performance of a machine‐learning (ML) model compared with traditional logistic regression models for predicting a large‐for‐gestational‐age (LGA) neonate at term and associated adverse perinatal outcomes, using sonographic biometric and Doppler parameters routinely assessed at a late third‐trimester scan in ...
M. Lopian, C. O. Ulusoy, D. Mohammed, E. Segal, A. Khalil   +4 more
wiley   +1 more source