592 results for machine learning

Machine learning:

Fouad Assali; Hicham Mharzi Alaoui; Hicham Hajji et al.

Biodiversidade Brasileira, Vol. 9 No. 1 · 2019 · Portuguese · DOAJ

…type of fuel, (pine and cork oak trees, Matorral, …). The 3 types of machine learning models (binary logistic regression, random forest and XG Boost) have shown very interesting results in terms of forest fire predictability by correctly classifying an average of 85% of the sample reserved for…

Machine learning:

Fouad Assali; Hicham Mharzi Alaoui; Hicham Hajji et al.

Biodiversidade Brasileira, Vol. 9 No. 1 · 2019 · Portuguese · DOAJ

…type of fuel, (pine and cork oak trees, Matorral, …). The 3 types of machine learning models (binary logistic regression, random forest and XG Boost) have shown very interesting results in terms of forest fire predictability by correctly classifying an average of 85% of the sample reserved for…

Machine Learning na Medicina: Revisão e Aplicabilidade

Paixão, Gabriela Miana de Mattos; Santos, Bruno Campos; de Araujo, Rodrigo Martins et al.

Arq Bras Cardiol · 2022 · Portuguese · PubMed Central

Also available at: DOAJ

Machine learning e o direito

Harry Surden; Saul Tourinho Leal; Wilson Seraine da Silva Neto

Suprema, Vol. 3 No. 1 · 2023 · Portuguese · DOAJ

Machine learning: uma análise bibliométrica

Emerson Martins; Napoleao Verardi Galegale

International Journal of Innovation, Vol. 11 No. 3 · 2023 · Portuguese · DOAJ Scopus

Objetivo: Apresentar uma visão dos artigos científicos publicados nos últimos dez anos sobre o tema aprendizado de máquina, do inglês machine learning (ML), com ênfase nos algoritmos preditivos. Método/abordagem: Análise bibliométrica, com apoio do protocolo PRISMA, para avaliar autores…

Integrating Machine Learning and Educational Robotics

Charles Soares Pimentel; Fábio Ferrentini Sampaio

Sisyphus, Vol. 13 No. 2 · 2025 · Portuguese · DOAJ

…training and classification phases, enhancing students' understanding of machine learning (ML). The results showed that students grasped both the functioning of the WiSARD algorithm and the mathematical principles behind it. Additionally, the activities fostered reflection on ethical concerns…

MACHINE LEARNING FOR SOYBEAN SEEDS LOTS CLASSIFICATION

Gizele I. Gadotti; Carla A. Ascoli; Ruan Bernardy et al.

Engenharia Agrícola, Vol. 42 No. spe · 2022 · Portuguese · DOAJ Scopus

…the physiological quality of soybean seeds in different cultivars using machine learning techniques to rank the lots based on their quality. Three cultivars were used, and the analysis was germination, accelerated aging, tetrazolium treatment, seedling emergence, and 1000 seed weight from 65 lots…

Machine learning in image analysis in ophthalmology

Thiago Gonçalves dos Santos Martins; Paulo Schor

Einstein (São Paulo), Vol. 19 · 2022 · Portuguese · DOAJ Scopus

Inteligência artificial: machine learning na Administração Pública

Carla Regina Bortolaz de Figueiredo; Flávio Garcia Cabral

International Journal of Digital Law, Vol. 1 No. 1 · 2020 · Portuguese · DOAJ Scopus

…– com destaque para uma técnica de indução inteligente de hipótese, o Machine Learning – e a possível aplicação destes mecanismos na Administração Pública, ressaltando os pontos positivos e negativos destes novos modelos tecnológicos e visualizando os possíveis cenários de impacto causados pela…

Introdução Prática a Machine Learning com Classificação

Leite, João Pedro Barbosa

2026 · Portuguese · Zenodo

Livro digital interativo, em notebooks Jupyter, que ensina classificação em Machine Learning do zero com Python e o dataset Adult Income: análise exploratória, regressão logística, pré-processamento de colunas categóricas, métricas e limiar de decisão, KNN, Naive Bayes, SVM e gradient boosting…

Introdução Prática a Machine Learning com Regressão

Leite, João Pedro Barbosa

2026 · Portuguese · Zenodo

Livro digital interativo, em notebooks Jupyter, que ensina Machine Learning do zero com Python e o dataset California Housing: análise exploratória, regressão linear, pré-processamento, árvores e ensembles, validação cruzada, ajuste de hiperparâmetros, interpretação, gradient boosting e…

Perusall: uma simbiose entre machine learning e pedagogia

Manuela Francisco; Cristina Amado

Indagatio Didactica, Vol. 14 No. 1 · 2022 · Portuguese · DOAJ

Neste trabalho apresentamos um estudo exploratório que visa contribuir para uma melhor compreensão das potencialidades da inteligência artificial e em particular do machine learning nas práticas pedagógicas, quer ao nível do envolvimento dos estudantes, quer ao nível do trabalho do professor no…

Covid-19 vaccination priorities defined on machine learning

Renato Camargos Couto; Tania Moreira Grillo Pedrosa; Luciana Moreira Seara et al.

Revista de Saúde Pública, Vol. 56 · 2022 · Portuguese · DOAJ Scopus

…based on in-hospital risk of death, by using Extreme Gradient Boosting Machine Learning (ML) algorithm. We performed a retrospective cohort study comprising 49,197 patients (18 years or older), with RT-PCR-confirmed for covid-19, who were hospitalized in any of the 336 Brazilian hospitals…

Digital mapping of soil attributes using machine learning

Patrícia Morais da Matta Campbell; Márcio Rocha Francelino; Elpídio Inácio Fernandes Filho et al.

Revista Ciência Agronômica, Vol. 50 No. 4 · 2019 · Portuguese · DOAJ Scopus

ABSTRACT Mapping the chemical attributes of the soil on a large scale can result in gains when planning the use and occupation of the land. There are different techniques available for this purpose, whose performance should be tested for different types of landscapes. The aim of this study was to…

Machine learning for automated otoscopic tympanic membrane assessment

Rafael Pires; Rodrigo Pires; Sammy Gasana et al.

Revista Portuguesa Otorrinolaringologia e Cirurgia de Cabeça e Pescoço, Vol. 64 No. 1 · 2026 · Portuguese · DOAJ

Objectives: To develop and evaluate a deep learning model for automated classification of tympanic membrane and middle ear conditions using otoscopic images. Study Design: Retrospective. Materials and Methods: This study trained an EfficientNet-based convolutional neural network (CNN) on 618…

The diabacare cloud: predicting diabetes using machine learning

Mehtab Alam; Ihtiram Raza Khan; Mohammad Afshar Alam et al.

Acta Scientiarum: Technology, Vol. 46 No. 1 · 2023 · Portuguese · DOAJ Scopus

Machine learning (ML) is the buzz all around the technology industry and is illuminating each and every sector of human lives, be it, healthcare, finance, bioinformatics, data science, mechanical engineering, agriculture or even smart cities nowadays. ML consists of supervised and unsupervised…

Fault Diagnosis of Rotary Machines Using Machine Learning

Iago M. Brandao; Cesar da Costa

Eletrônica de Potência, Vol. 27 No. 3 · 2022 · Portuguese · DOAJ

Classification of faults in rotary machines using machine learning is gaining attention in the field of science and engineering. In rotating machinery, misalignment is a common fault. This type of fault has been extensively studied in the literature using the vibration signals produced by rotary…

Users’ trust in black-box machine learning algorithms

Heitor Hoffman Nakashima; Daielly Mantovani; Celso Machado Junior

REGE Revista de Gestão, Vol. 31 No. 2 · 2024 · Portuguese · DOAJ Scopus

Purpose – This paper aims to investigate whether professional data analysts’ trust of black-box systems is increased by explainability artifacts. Design/methodology/approach – The study was developed in two phases. First a black-box prediction model was estimated using artificial neural networks…

Fundamentos de Estatística e Probabilidade para Machine Learning

Leite, João Pedro Barbosa

2026 · Portuguese · Zenodo

Livro digital interativo, em notebooks Jupyter, que faz o nivelamento de estatística e probabilidade para Machine Learning com Python: estatística descritiva, visualização de distribuições, correlação, probabilidade condicional e Teorema de Bayes, variáveis aleatórias discretas e contínuas…