Publications
Featured papers
Wildfire spots analysis and forecasting: Evaluation of univariate and multivariate based on variational mode decomposition models
Time series forecasting
Signal decomposition
Fire outbreak prediction
Forest fires
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Journal papers
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
Decomposition
Ensemble learning
Forecasting
Optimization
Renewable energy
Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution
Nonlinear system identification
Machine learning
Time-series modeling
Differential evolution
Electroencephalography signal response
Cooperative ensemble learning model improves electric short-term load forecasting
Ensemble learning methods
Machine learning
Short-term load forecasting
Seasonal and trend decomposition
Variational mode decomposition
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Wind speed
Time series forecasting
Stacking-ensemble learning
Singular spectrum analysis
Variational mode decomposition
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Wind power generation
Time series forecasting
Bagging method
Stacking
Ensemble learning models
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
Solution Methods
Permutation Flow Shop
Makespan
Discrete Differential Evolution
Self-Adaptive Differential Evolution
A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
Wind energy
Forecasting
Time series
Decomposition
Stacking ensemble learning
Machine learning
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
Artificial intelligence
COVID-19
Exogenous variables
Forecasting
Variational mode decomposition
Machine learning
Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network
Wind speed
Decomposition based methods
Variational mode decomposition
Spectrum singular analysis
Long short-term memory
Artificial neural network
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
ARIMA
COVID-19
Forecasting
Decision-making
Machine learning
Time series
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Scientific Magazine
Inteligência artificial como suporte a tomada de decisão para previsão de novos casos do coronavírus (COVID-19)
COVID-19
Forecasting
Machine learning
Decision-making
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Book chapters
Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches
Beta-hCG test
Time series
Demand forecasting
Machine learning
Stacking ensemble-learning
Classification of Leukocytes: Comparison of different feature extraction and machine learning approaches
Leukocyte Classification
White Blood Cells
Computer Vision
Artificial Intelligence
Machine Learning
Healthcare
Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases
COVID-19
Ensemble learning
Urban mobility information
Artificial intelligence
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Conference papers
Hybrid machine learning approach for predicting feed convertion ratio in broilers: integrating time-series analysis and environmental variables
Feed Conversion Ratio
Broilers
Machine Learning
Predictive Modeling
Poultry Production
Combination of Transformer-Based Models for Wind Data Forecasting
Multi-objective Optimization
Multicriteria Decision-making
Time Series Forecasting
Hybrid machine learning models applied to daily urban water consumption prediction
Empirical wavelet transformation
Machine learning
Time series forecasting
Variational mode decomposition
Water consumption
Wind power forecasting based on bagging extreme learning machine ensemble model
Wind power
Bagging
Extreme learning machine
Ensemble learning
An improved ensemble learning model for multi-step ahead wind power generation forecasting
Wind power
Time series forecasting
Bagging
Stacking
Machine learning
Multi-step wind speed forecasting based on multi-stage decomposition approach
Wind speed
Time series forecasting
Singular spectrum analysis
Variational mode decomposition
Machine learning
Artificial intelligence and signal decomposition approach applied to retail sales forecasting
Retail sales
Time series
Artificial intelligence
Ensemble empirical mode decomposition
Artificial neural networks
Cubist regression
Support vector regression
Dengue cases forecasting based on extreme gradient boosting ensemble with coyote optimization
Ensemble learning
Time series forecasting
Dengue
Metaheuristics
Forecasting COVID-19 pandemic using an echo state neural network-based framework
Echo state networks
COVID-19
Time series
Forecasting
ARIMA
Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting
Decomposition
Water consumption
Ensemble learning
Forecasting
Multiobjective optimization
Forecasting the cumulative cases of COVID-19 in four large Brazilian cities using machine learning approaches
COVID-19
Autoregressive integrated moving average
Forecasting
Machine learning
Decision-making
Prediction of Residential Buildings Efficiency based on Differential Evolution Optimization and Random Forest Model
Building Energy
Differential Evolution
Feature Engineering
Principal Component Analysis
Random Forest
Wind Energy Multi-Step Ahead Forecasting Based on Variational Mode Decomposition
Wind energy
Time series forecasting
Variational mode decomposition
Machine learning
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases
Decomposition
Electricity prices
Ensemble learning
Forecasting
Optimization
Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods
Bitcoin price
Variational mode decomposition
Stacking-ensemble learning
Forecasting
Time series
Solar Power Forecasting Based on Ensemble Learning Methods
Solar power
Time series
Forecasting
Stacking-ensemble learning
Machine learning
Forecasting epidemiological time series based on decomposition and optimization approaches
Decomposition
Ensemble
Time series
Meningitis
Multi-objective optimization
Very short-term wind energy forecasting based on stacking ensemble
Wind energy
Forecasting
Time series
Machine learning
Stacking ensemble
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Preprint
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model
Time series forecasting
Machine learning
Signal decomposition
Amazon rainforest
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Thesis
Signal decomposition and stacking-ensemble learning approaches applied to time series forecasting
Time series forecasting
Machine learning
Signal decomposition
Stacking-ensemble learning
Proposal of an empirical theory for capacity estimation using Lot Streaming techniques
Capacity
Lot Streaming
Production Planning
Scheduling
Simulation
Proposal of a process flow based on the concepts of Process Mapping and Demand Forecasting of a Road Works Department
Public administration
Flowchart process
Demand forecasting
Process Mapping
Roadworks
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