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Intelligent agricultural modelling of soil nutrients and ph classification using ensemble deep learning techniques
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach
(BioMed Central, 2019-12)
Background: Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Previously, we had trained an ensemble machine learning model to assign a probability of having ...
Positive predictive value surfaces as a complementary tool to assess the performance of virtual screening methods
(Bentham Science Publishers, 2020-05)
Background: Since their introduction in the virtual screening field, Receiver Operating Characteristic (ROC) curve-derived metrics have been widely used for benchmarking of computational methods and algorithms intended for ...
Earthquake Early Warning Starting From 3 s of Records on a Single Station With Machine Learning
(American Geophysical Union, 2023-11-02)
We introduce the Ensemble Earthquake Early Warning System (E3WS), a set of Machine Learning (ML) algorithms designed to detect, locate, and estimate the magnitude of an earthquake starting from 3 s of P-waves recorded by ...
Computer-aided diagnosis for tuberculosis classification with water strider optimization algorithm
(Tech Science PressUnited Kingdom, 2023)
Painting the black box white: Interpreting an algorithm-based trading strategy
(Lociedade Brasileira de Finanças, 2022)
Human activity recognition data analysis: history, evolutions, and new trends
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
Predicting phase inversion in agitated dispersions with machine learning algorithms
(Taylor & Francis, 2020-09)
In agitated systems, the phase inversion (PI) phenomenon–the mechanism by which a dispersed phase becomes the continuous one–has been studied extensively in an empirical manner, and few models have been put forward through ...
Predicción de la situación académica en alumnos de pregrado usando algoritmos de Machine Learning.
(Escuela Superior Politécnica de Chimborazo, 2022-01-31)
The academic performance of a university student is generally measured through their grades, which result in a normal or poor interpretation of the academic performance of the students. The grades, actually depends on ...
Stock Portfolio Prediction by Multi-Target Decision Support
(Unirio, 2019)