Listar por tema "Machine learning"
Mostrando ítems 1-12 de 12
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A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach
(2021)Tolerance to stress conditions is vital for organismal survival, including bacteria under specific environmental conditions, antibiotics, and other perturbations. Some studies have described common modulation and shared genes ... -
A genetic algorithm based framework for software effort prediction
(2017)Background: Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ... -
Alterations in common marmoset gut microbiome associated with duodenal strictures
(2022-03-28)Chronic gastrointestinal (GI) diseases are the most common diseases in captive common marmosets (Callithrix jacchus). Despite standardized housing, diet and husbandry, a recently described gastrointestinal syndrome ... -
Analysis of gut microbiome profiles in common marmosets (Callithrix jacchus) in health and intestinal disease
(2022-03-15)Chronic gastrointestinal (GI) diseases are the most common diseases in captive common marmosets. To understand the role of the microbiome in GI diseases, we characterized the gut microbiome of 91 healthy marmosets (303 ... -
Critical Assessment of pH-Dependent Lipophilicity Profiles of Small Molecules: Which One Should We Use and In Which Cases?
(2023-10-03)Lipophilicity is a physicochemical property with wide relevance in drug design, computational biology, food, environmental and medicinal chemistry. Lipophilicity is commonly expressed as the partition coefficient for neutral ... -
Implementación de modelos estadísticos para la estimación de la demanda de combustibles en Costa Rica
(2022-09-27)La pandemia del Covid-19, ha constituido un reto enorme para la humanidad, generando importantes desafíos en las diversas áreas del conocimiento, y la Estadística no es la excepción, pues muchos modelos, requieren el ... -
Improving post-filtering of artificial speech using pre-trained LSTM neural networks
(2019)Several researchers have contemplated deep learning-based post-filters to increase the quality of statistical parametric speech synthesis, which perform a mapping of the synthetic speech to the natural speech, considering ... -
Learning the prediction error for improving an analytical-based prediction (object-model) system for manipulation tasks
(2018)One of the main tasks in robotics today, is to bring robots closer to humans in everyday situations. This requires the robot to understand how its environment (objects, people, conditions) behaves. One method that tries ... -
Mathematical and Statistical models as tools for the control ofmosquito-borne diseases: The experience of Costa Rica
(2021-06-25)The modeling of infectious diseases provides valuable input in the development of mitigating strategies and implementation of public health interventions. We highlight results and current research conducted in Costa Rica ... -
Object Recognition Using Hierarchical Temporal Memory
(2018-02-17)At this time, great effort is being directed toward developing problem-solving technology that mimics human cognitive processes. Research has been done to develop object recognition using Computer Vision for daily tasks ... -
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ... -
Predicción del caudal promedio horario de la estación hidrológica Palmar, utilizando modelos de Machine Learning basados en Árboles de decisión
(2020)Se realizó una comparación de la capacidad predictiva de los modelos de Árboles de decisión, Bosques aleatorios y XGBoosting al modelar el caudal promedio horario en la estación hidrológica Palmar, ubicada sobre el río ...