Results 1 to 10 of about 1,554,303 (192)

Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance

Frontiers in Artificial Intelligence
Detecting credit card fraud is a complex tabular learning problem due to the underrepresentation of fraudulent events, extreme class imbalance, and scattered minority areas.
Fray L. Becerra-Suarez, Paolo P. Arones-Perez, Frederik F. Zamora-Del-Aguila, Manuel G. Forero   +3 more
doaj   +1 more source

ClassNoise: An R package for modeling, generating, and validating data with class noise

SoftwareX
ClassNoise is an R package for modeling, generating, and validating data affected by class noise. It provides an environment where the type of noise, its magnitude, and the resulting noisy samples are precisely known.
David Martínez-Galicia, Alejandro Guerra-Hernández, Francisco Grimaldo, Nicandro Cruz-Ramírez, Xavier Limón   +4 more
doaj   +1 more source

Integrating Bayesian and neural networks models for eye movement prediction in hybrid search

Scientific Reports
Visual search is crucial in daily human interaction with the environment. Hybrid search extends this by requiring observers to find any item from a given set.
Gonzalo Ruarte, Gaston Bujia, Damián Care, Matias Julian Ison, Juan Esteban Kamienkowski   +4 more
doaj   +1 more source

Streaming Processing for ADL Monitoring in Smart Home Environments

IEEE Access
Monitoring and detection of Activities of Daily Living (ADL) is a frequent practice to determine the independence of elderly/disabled people in their homes instrumented with a set of sensors, which conform smart home environments.
Yudith Cardinale, Jose Manuel Negrete Ramirez, Irache Garamendi Bragado, Ismael de Fez   +3 more
doaj   +1 more source

Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

Sensors, 2015
Intelligent Transportation Systems (ITSs) integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of
Alberto Fernández-Isabel, Rubén Fuentes-Fernández   +1 more
doaj   +1 more source

Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks

Universe
Deep learning has emerged as a transformative methodology in modern cosmology, providing powerful tools to extract meaningful physical information from complex astronomical data.
Juan Alejandro Pinto Castro, Héctor J. Hortúa, Jorge Enrique García-Farieta, Roger Anderson Hurtado   +3 more
doaj   +1 more source

g-vamp: Improving sequence labelling frameworks for multiword expressions identification

Array
Annotated corpora such as the parseme collection frequently contain Multiword Expressions (mwes) that share tokens within a sentence, meaning that a single token may belong to two or more mwes.
Santiago Fernández Lanza, Víctor Manuel Darriba Bilbao, Daniel Fernández-González   +2 more
doaj   +1 more source

Inteligencia Artificial

, 2011
Relato de César Mira para la revista Sci-FdI. Finalista del premio BYTE.
openaire   +1 more source

La inteligencia artificial

La Revista Icono 14, 2020
La datificación creciente de la vida contemporánea en combinación con la inteligencia artificial supone en la práctica la construcción de una nueva realidad que se viene calificando como digital. El presente trabajo explora, a partir del reconocimiento y definición del nuevo paradigma, las siguientes cuestiones: en primer lugar, la necesidad de ...
Víctor Lope Salvador, Dr. Ph.D, Xhevrie Mamaqi, PHD, Dra., Javier Vidal Bordes, Dr. Ph.D   +2 more
openaire   +1 more source

Percepción de la inteligencia artificial en la comunidad radiológica argentina

Revista Argentina de Radiología
Introducción: La aplicación de la inteligencia artificial (IA) en radiología se encuentra en fases iniciales y estaría influenciada por la percepción de sus usuarios.
Alejandra Vigliano, Martín Gómez-Lastra, Ariel Miquelini, Hernán Chaves   +3 more
doaj   +1 more source