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Leonardo Goliatt
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 23
Top Topics
Differential Evolution
Gradient Boosting
Machine Learning
Solar Radiation
Top Venues
ISDA
Evol. Intell.
Expert Syst. Appl.
EPIA
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Publications
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Tales H. A. Boratto
,
Camila Martins Saporetti
,
Samuel da Costa Alves Basilio
,
Alexandre A. Cury
,
Leonardo Goliatt
Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection.
J. Intell. Manuf.
35 (1) (2024)
Samuel da Costa Alves Basilio
,
Fernando Ferrari Putti
,
Angélica Carvalho Cunha
,
Leonardo Goliatt
An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil.
Earth Sci. Informatics
16 (3) (2023)
Victor Rezende Franco
,
Marcos Cicarini Hott
,
Ricardo Guimarães Andrade
,
Leonardo Goliatt
Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures.
Evol. Intell.
16 (4) (2023)
Carolina Ribeiro Xavier
,
João Gabriel Rocha Silva
,
Grasiele Regina Duarte
,
Iago Augusto de Carvalho
,
Vinicius da Fonseca Vieira
,
Leonardo Goliatt
An island-based hybrid evolutionary algorithm for caloric-restricted diets.
Evol. Intell.
16 (2) (2023)
Samuel da Costa Alves Basilio
,
Camila Martins Saporetti
,
Leonardo Goliatt
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling.
Neural Comput. Appl.
35 (16) (2023)
Tales H. A. Boratto
,
Alexandre A. Cury
,
Leonardo Goliatt
Machine learning-based classification of bronze alloy cymbals from microphone captured data enhanced with feature selection approaches.
Expert Syst. Appl.
215 (2023)
Leonardo Goliatt
,
Zaher Mundher Yaseen
Development of a hybrid computational intelligent model for daily global solar radiation prediction.
Expert Syst. Appl.
212 (2023)
Rodrigo Oliveira Silva
,
Camila Martins Saporetti
,
Zaher Mundher Yaseen
,
Egberto Pereira
,
Leonardo Goliatt
An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution.
Neural Comput. Appl.
35 (28) (2023)
Michell Hell
,
Eduardo Pestana de Aguiar
,
Nielson Soares
,
Leonardo Goliatt
A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems.
Int. J. Fuzzy Syst.
24 (6) (2022)
Gabriel Dias de Abreu
,
Letícia Florentino Pires
,
Luciana Conceição Dias Campos
,
Leonardo Goliatt
Multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River.
EPIA
(2021)
Camila Martins Saporetti
,
Leonardo Goliatt
,
Egberto Pereira
Neural network boosted with differential evolution for lithology identification based on well logs information.
Earth Sci. Informatics
14 (1) (2021)
Gisele Goulart Tavares
,
Priscila V. S. Z. Capriles
,
Leonardo Goliatt
Automatic Evolutionary Settings of Machine Learning Methods for Buildings' Thermal Loads Prediction.
EPIA
(2021)
Nielson Soares
,
Eduardo Pestana de Aguiar
,
Amanda Campos Souza
,
Leonardo Goliatt
Unsupervised machine learning techniques to prevent faults in railroad switch machines.
Int. J. Crit. Infrastructure Prot.
33 (2021)
Alfeu D. Martinho
,
Celso B. M. Ribeiro
,
Yulia Gorodetskaya
,
Tales L. Fonseca
,
Leonardo Goliatt
Extreme Learning Machine with Evolutionary Parameter Tuning Applied to Forecast the Daily Natural Flow at Cahora Bassa Dam, Mozambique.
BIOMA
(2020)
João P. Scoralick
,
Gabriele C. Iwashima
,
Fernando Antonio Basile Colugnati
,
Leonardo Goliatt
,
Priscila V. S. Z. Capriles
A Extreme Gradient Boosting Classifier for Predicting Chronic Kidney Disease Stages.
ISDA
(2020)
Alfeu D. Martinho
,
Tales L. Fonseca
,
Leonardo Goliatt
Automated Extreme Learning Machine to Forecast the Monthly Flows: A Case Study at Zambezi River.
ISDA
(2020)
Tales L. Fonseca
,
Leonardo Goliatt
Hybrid Extreme Learning Machine and Backpropagation with Adaptive Activation Functions for Classification Problems.
ISDA
(2020)
Rodrigo C. A. F. Pontes
,
Grasiele Regina Duarte
,
Leonardo Goliatt
Migration Guided by a Performance Index in Heterogeneous Island Models.
BIOMA
(2020)
Vinicius Carius de Souza
,
Leonardo Goliatt
,
Priscila V. S. Z. Capriles
Insight About Nonlinear Dimensionality Reduction Methods Applied to Protein Molecular Dynamics.
IWBBIO (2)
(2019)
Leonardo Goliatt
,
Priscila V. S. Z. Capriles
,
Gisele Goulart Tavares
Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design.
EPIA (1)
(2019)
João Gabriel Rocha Silva
,
Iago Augusto de Carvalho
,
Leonardo Goliatt
,
Vinicus da Fonseca Vieira
,
Carolina Ribeiro Xavier
A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model.
ICCSA (1)
(2017)
Vinicius Carius de Souza
,
Leonardo Goliatt
,
Priscila V. Z. Capriles Goliatt
Clustering algorithms applied on analysis of protein molecular dynamics.
LA-CCI
(2017)
Tales L. Fonseca
,
Leonardo Goliatt
,
Luciana Conceição Dias Campos
,
Flávia de Souza Bastos
,
Luis Paulo S. Barra
,
Rodrigo Weber dos Santos
Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography.
IBERAMIA
(2016)