Ronnie Alves
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View article: ECOLOGIA, MEIO AMBIENTE E SUSTENTABILIDADE: OS IMPACTOS DAS AÇÕES ANTRÓPICAS NOS ECOSSISTEMAS
ECOLOGIA, MEIO AMBIENTE E SUSTENTABILIDADE: OS IMPACTOS DAS AÇÕES ANTRÓPICAS NOS ECOSSISTEMAS Open
Este artigo tem como objetivo analisar os impactos das ações antrópicas nos ecossistemas, com ênfase na ecologia, meio ambiente e sustentabilidade. A pesquisa foi conduzida com base em uma abordagem descritiva, utilizando como instrumento …
View article: Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler
Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler Open
Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have been previously successfully applied in …
View article: Biomarcadores fisiológicos de estresse em espécimes suínas: uma revisão sistemática comparativa sobre o cortisol salivar e o plasmático
Biomarcadores fisiológicos de estresse em espécimes suínas: uma revisão sistemática comparativa sobre o cortisol salivar e o plasmático Open
A suinocultura brasileira desempenha um papel socioeconômico relevante, e a crescente preocupação com o bem-estar animal é abordada pela estrutura dos cinco domínios. Fatores ambientais, como o estresse térmico e as condições dos sistemas …
View article: ENTRE SABERES E RESISTÊNCIAS: A TRAVESSIA DOCENTE NO CAMPO DAS METODOLOGIAS ATIVAS
ENTRE SABERES E RESISTÊNCIAS: A TRAVESSIA DOCENTE NO CAMPO DAS METODOLOGIAS ATIVAS Open
As metodologias ativas representam uma proposta de ensino que busca valorizar a participação do estudante e sua autonomia no processo de aprendizagem. No entanto, sua implementação encontra resistências e desafios significativos no cotidia…
View article: A statistical and machine learning approach for monthly precipitation forecasting in an Amazon city
A statistical and machine learning approach for monthly precipitation forecasting in an Amazon city Open
Introduction City-scale rainfall prediction is crucial for various essential services, such as transportation, supply chain logistics, and leisure activities, as well as for preventing risks associated with high volumes of rain. Belém is a…
View article: Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon
Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon Open
Background Accurate precipitation forecasting is crucial for various sectors, such as agriculture, hydrology, and disaster management. In recent years, machine learning (ML) techniques have proven invaluable in improving the accuracy of ra…
View article: ATUALIZAÇÕES E PERSPECTIVAS NA ABORDAGEM DA DOENÇA DE ALZHEIMER: REVISÃO DA LITERATURA
ATUALIZAÇÕES E PERSPECTIVAS NA ABORDAGEM DA DOENÇA DE ALZHEIMER: REVISÃO DA LITERATURA Open
View article: Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness Open
Benchmarking is a fundamental practice in machine learning (ML) for comparing the performance of classification algorithms. However, traditional evaluation methods often overlook a critical aspect: the joint consideration of dataset comple…
View article: Ambiência suína na amazônia: estratégias de enriquecimento e sustentabilidade
Ambiência suína na amazônia: estratégias de enriquecimento e sustentabilidade Open
O presente estudo, por meio de uma revisão sistemática da literatura, buscou identificar e analisar as estratégias de enriquecimento ambiental e práticas de produção sustentável aplicadas à suinocultura na Amazônia. A pesquisa foi conduzid…
View article: Evaluating Past Horizons for U-Net-Based Precipitation Nowcasting with Radar Data in Southeastern Pará, Brazil
Evaluating Past Horizons for U-Net-Based Precipitation Nowcasting with Radar Data in Southeastern Pará, Brazil Open
Severe weather events significantly impact daily life, especially during emergencies, affecting human lives and the economy. Decision-making in such events, like heavy rainfall, strong winds, and flash floods, is challenging due to the rap…
View article: Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible
Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible Open
Biodiversity data, particularly species occurrence and abundance, are indispensable for testing empirical hypothesis in natural sciences. However, datasets built for research programmes do not often meet FAIR (findable, accessible, interop…
View article: Standing on the shoulders of giants
Standing on the shoulders of giants Open
Although fundamental to the advancement of Machine Learning, the classic evaluation metrics extracted from the confusion matrix, such as precision and F1, are limited. Such metrics only offer a quantitative view of the models' performance,…
View article: How Reliable and Stable are Explanations of XAI Methods?
How Reliable and Stable are Explanations of XAI Methods? Open
Black box models are increasingly being used in the daily lives of human beings living in society. Along with this increase, there has been the emergence of Explainable Artificial Intelligence (XAI) methods aimed at generating additional e…
View article: Retrieving biodiversity data from multiple sources: making secondary data standardized and accessible
Retrieving biodiversity data from multiple sources: making secondary data standardized and accessible Open
Biodiversity data, particularly species occurrence and abundance, are indispensable for testing empirical hypothesis in natural sciences. However, datasets built for research programs do not often meet FAIR (findable, accessible, interoper…
View article: Table of Contents
Table of Contents Open
View article: A step toward a reinforcement learning de novo genome assembler
A step toward a reinforcement learning de novo genome assembler Open
De novo genome assembly is a relevant but computationally complex task in genomics. Although de novo assemblers have been used successfully in several genomics projects, there is still no ‘best assembler’, and the choice and setup of assem…
View article: Data and Classifiers: Two Sides of the Same Coin
Data and Classifiers: Two Sides of the Same Coin Open
View article: Multivariable Modelling Based on Statistical and Machine Learning Techniques for Monthly Precipitation Forecasting in Eastern Amazon
Multivariable Modelling Based on Statistical and Machine Learning Techniques for Monthly Precipitation Forecasting in Eastern Amazon Open
View article: The quest for the reliability of machine learning models in binary classification on tabular data
The quest for the reliability of machine learning models in binary classification on tabular data Open
View article: Precipitation forecasting: from geophysical aspects to machine learning applications
Precipitation forecasting: from geophysical aspects to machine learning applications Open
Intense precipitation events pose a significant threat to human life. Mathematical and computational models have been developed to simulate atmospheric dynamics to predict and understand these climates and weather events. However, recent a…
View article: Bats, Spectrograms, and Deep Learning: Unmasking the Secrets of Mining Area Caves
Bats, Spectrograms, and Deep Learning: Unmasking the Secrets of Mining Area Caves Open
Detecting and classifying bat species in mining region caves is crucial for ore extraction activities, environmental impact reduction, and worker safety. This study focuses on using bat echolocation call data collected by VALE, a mining co…
View article: AutoML Optimized by Genetic Algorithm and Item Response Theory
AutoML Optimized by Genetic Algorithm and Item Response Theory Open
Gerar modelos de aprendizado de máquina automaticamente segue sendo uma área de muita pesquisa recente e desafiadora. E ainda não há uma forma definitiva capaz de gerar resultados satisfatórios e que apresente uma complexidade baixa. Com i…
View article: Assessing U-Net Model Performance in Weather Radar-Based Precipitation Nowcasting: A Reflectivity Threshold Analysis
Assessing U-Net Model Performance in Weather Radar-Based Precipitation Nowcasting: A Reflectivity Threshold Analysis Open
Severe weather events pose a global threat, causing property damage and endangering lives. Weather-related disasters account for 50% of all natural and technological disasters. The development of accurate prediction systems are crucial for…
View article: A machine learning and statistical learning-based pipeline to perform multipoint rainfall forecasting
A machine learning and statistical learning-based pipeline to perform multipoint rainfall forecasting Open
Analisar e prever a precipitação é crucial para a sociedade, principalmente quando ocorrem chuvas extremas e inundações. Tais eventos impactam as estruturas socioeconômicas e podem levar a fatalidades. O entendimento da formação das chuvas…
View article: Late Quaternary hydroclimate and vegetation changes in an upland lake in southeastern Amazonia
Late Quaternary hydroclimate and vegetation changes in an upland lake in southeastern Amazonia Open
An integrated approach considering facies, isotopic, and palynological analyses of lake sediments from the Serra Norte de Carajás, southeastern Amazonia, is presented in this work to refine paleoclimate and paleohydrological changes based …
View article: DataLake ITV DS
DataLake ITV DS Open
View article: Explanations Based on Item Response Theory (Exirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
Explanations Based on Item Response Theory (Exirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective Open
View article: Table of Contents
Table of Contents Open
View article: AutoML baseado na Teoria de Resposta ao Item
AutoML baseado na Teoria de Resposta ao Item Open
Gerar modelos de aprendizado de máquina automaticamente segue sendo uma área de muita pesquisa recente. Porém, ainda não há uma forma definitiva capaz de gerar modelos simples que melhor generalizem e que sejam imunes a subespecificação. N…
View article: Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction Open
Strategies based on Explainable Artificial Intelligence (XAI) have promoted better human interpretability of the results of black box models. This opens up the possibility of questioning whether explanations created by XAI methods meet hum…