Mathematical optimization in deep learning [PDF]
Mathematical Optimization plays a pillar role in Machine Learning (ML) and Neural Networks (NN) are amongst the most popular and effective ML architectures and are the subject of a very intense investigation. They have also been proven immensely powerful
Ramírez Ayerbe, Miren Jasone
core
A computational framework to characterize and compare the tonal repertoires of toothed whales
Abstract Toothed whales, despite being one of the most acoustically specialized lineages of vertebrates, lack detailed vocal repertoire characterizations comparable to those of songbirds and primates. Current descriptions often lack standardization, limiting interspecies and intraspecies comparisons critical for understanding the contribution of ...
Maia Austin +7 more
wiley +1 more source
SISTEMA DE DETECCIÓN Y RECONOCIMIENTO DE AMENAZAS DE CIBERSEGURIDAD EN LA NUBE
En la actualidad, la ciberseguridad se ha convertido en una obligación para todo proveedor de servicios. Mientras existen grupos de personas orientadas a explotar los servicios con fines malignos, otros desarrollan herramientas y mecanismos para ...
Ariel Baloira Reyes
doaj
Módulo de control automático de motores eléctricos para la enseñanza y el aprendizaje [PDF]
El presente proyecto describe un módulo de control de motores eléctricos a través de un PLC, donde se hace referencia a las variables que intervienen en el funcionamiento de los motores, variables como la potencia, factor de potencia, perdidas de energía
Urbina Obando, Donald Enrique +1 more
core
Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2 [PDF]
IWANN es un congreso internacional que se celebra bienalmente desde 1991. Su campo de estudio se centra en la fundamentación y aplicación de las distintas técnicas de Inteligencia Computacional : Redes Neuronales Artificiales, Algoritmos Genéticos ...
A Esteva +8 more
core +1 more source
Simulación en UE4 para realizar aprendizaje automático [PDF]
Si se le preguntara a cualquier entendido qué avances tecnológicos darán forma a nuestro futuro, la mayoría por no decir todos, mencionarían los coches autónomos. Pero para que esta tecnología se popularice se debe minimizar al máximo el margen de error.
Irigoyen Cañas, Jon +1 more
core
Expression‐based machine learning models for predicting plant tissue identity
Abstract Premise The selection of Arabidopsis as a model organism played a pivotal role in advancing genomic science. The competing frameworks to select an agricultural‐ or ecological‐based model species were rejected, in favor of building knowledge in a species that would facilitate genome‐enabled research.
Sourabh Palande +40 more
wiley +1 more source
A high‐resolution model of the grapevine leaf morphospace predicts synthetic leaves
Grapevine leaves are emblematic of the strong visual associations people make with plants. Leaf shape is immediately recognizable at a glance, and therefore, this is used to distinguish grape varieties. In an era of computationally enabled machine learning–derived representations of reality, we can revisit how we view and use the shapes and forms that ...
Daniel H. Chitwood +28 more
wiley +1 more source
Control predictivo basado en datos [PDF]
Este artículo presenta el diseño estabilizante de un controlador predictivo a partir únicamente de datos de entrada-salida de un sistema a controlar.
Alamo, Teodoro +4 more
core
Effects of trade and poaching pressure on extinction risk for cacti in the Atacama Desert
Abstract In this era of a global biodiversity crisis, vascular plants are facing unprecedented extinction rates. We conducted an assessment of the extinction risk of 32 species and 7 subspecies of Copiapoa, a genus endemic to Chile's fog‐dependent coastal Atacama Desert.
Angelica Villalobo‐Lopez +7 more
wiley +1 more source

