Leonardo Goliatt da Fonseca

According to our database, Leonardo Goliatt da Fonseca authored at least 47 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models.

Suraj Kumar Bhagat, Tiyasha Tiyasha, A. H. Shather, Mehdi Jamei, Adarsh Kumar, Zainab Al-Khafaji, Leonardo Goliatt, Shafik S. Shafik, Omer A. Alawi, Zaher Mundher Yaseen

Neural Comput. Appl., August, 2024

Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective.

Davi Gotardelo, Leonardo Goliatt

Evol. Syst., June, 2024

Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection.

Tales H. A. Boratto, Camila Martins Saporetti, Samuel da Costa Alves Basilio, Alexandre A. Cury, Leonardo Goliatt

J. Intell. Manuf., January, 2024

Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete.

Hai Tao, Zainab Hasan Ali, Faisal M. Mukhtar, Ahmed W. Al Zand, Haydar Abdulameer Marhoon, Leonardo Goliatt, Zaher Mundher Yaseen

Eng. Appl. Artif. Intell., 2024

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions.

Hai Tao, Sani Isah Abba, Ahmed M. Al-Areeq, Fredolin Tangang, Sandeep Samantaray, Abinash Sahoo, Hugo Valadares Siqueira, Saman Maroufpoor, Vahdettin Demir, Neeraj Dhanraj Bokde, Leonardo Goliatt, Mehdi Jamei, Iman Ahmadianfar, Suraj Kumar Bhagat, Bijay Halder, Tianli Guo, Daniel S. Helman, Mumtaz Ali, Sabaa Sattar, Zainab Al-Khafaji, Shamsuddin Shahid, Zaher Mundher Yaseen

Eng. Appl. Artif. Intell., 2024

2023

An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution.

Rodrigo Oliveira Silva, Camila Martins Saporetti, Zaher Mundher Yaseen, Egberto Pereira, Leonardo Goliatt

Neural Comput. Appl., October, 2023

An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil.

Samuel da Costa Alves Basilio, Fernando Ferrari Putti, Angélica Carvalho Cunha, Leonardo Goliatt

Earth Sci. Informatics, September, 2023

Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures.

Victor Rezende Franco, Marcos Cicarini Hott, Ricardo Guimarães Andrade, Leonardo Goliatt

Evol. Intell., August, 2023

An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling.

Samuel da Costa Alves Basilio, Camila Martins Saporetti, Leonardo Goliatt

Neural Comput. Appl., June, 2023

An island-based hybrid evolutionary algorithm for caloric-restricted diets.

Carolina Ribeiro Xavier, João Gabriel Rocha Silva, Grasiele Regina Duarte, Iago Augusto de Carvalho, Vinícius da Fonseca Vieira, Leonardo Goliatt

Evol. Intell., April, 2023

Machine learning-based classification of bronze alloy cymbals from microphone captured data enhanced with feature selection approaches.

Tales H. A. Boratto, Alexandre A. Cury, Leonardo Goliatt

Expert Syst. Appl., April, 2023

Development of a hybrid computational intelligent model for daily global solar radiation prediction.

Leonardo Goliatt, Zaher Mundher Yaseen

Expert Syst. Appl., 2023

2022

A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems.

Michell Hell, Eduardo Pestana de Aguiar, Nielson Soares, Leonardo Goliatt

Int. J. Fuzzy Syst., 2022

2021

An Island Model based on Stigmergy to solve optimization problems.

Grasiele Regina Duarte, Afonso Celso de Castro Lemonge, Leonardo Goliatt da Fonseca, Beatriz Souza Leite Pires de Lima

Nat. Comput., 2021

Unsupervised machine learning techniques to prevent faults in railroad switch machines.

Nielson Soares, Eduardo Pestana de Aguiar, Amanda Campos Souza, Leonardo Goliatt

Int. J. Crit. Infrastructure Prot., 2021

Neural network boosted with differential evolution for lithology identification based on well logs information.

Camila Martins Saporetti, Leonardo Goliatt, Egberto Pereira

Earth Sci. Informatics, 2021

Automatic Evolutionary Settings of Machine Learning Methods for Buildings' Thermal Loads Prediction.

Gisele Goulart Tavares, Priscila V. S. Z. Capriles, Leonardo Goliatt

Proceedings of the Progress in Artificial Intelligence, 2021

The DeepONets for Finance: An Approach to Calibrate the Heston Model.

Igor Michel Santos Leite, João Daniel Madureira Yamim, Leonardo Goliatt da Fonseca

Proceedings of the Progress in Artificial Intelligence, 2021

Multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River.

Gabriel Dias de Abreu, Letícia Florentino Pires, Luciana Conceição Dias Campos, Leonardo Goliatt

Proceedings of the Progress in Artificial Intelligence, 2021

2020

A Extreme Gradient Boosting Classifier for Predicting Chronic Kidney Disease Stages.

João P. Scoralick, Gabriele C. Iwashima, Fernando Antonio Basile Colugnati, Leonardo Goliatt, Priscila V. S. Z. Capriles

Proceedings of the Intelligent Systems Design and Applications, 2020

Automated Extreme Learning Machine to Forecast the Monthly Flows: A Case Study at Zambezi River.

Alfeu D. Martinho, Tales L. Fonseca, Leonardo Goliatt

Proceedings of the Intelligent Systems Design and Applications, 2020

Hybrid Extreme Learning Machine and Backpropagation with Adaptive Activation Functions for Classification Problems.

Tales L. Fonseca, Leonardo Goliatt

Proceedings of the Intelligent Systems Design and Applications, 2020

Migration Guided by a Performance Index in Heterogeneous Island Models.

Rodrigo C. A. F. Pontes, Grasiele Regina Duarte, Leonardo Goliatt

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

Extreme Learning Machine with Evolutionary Parameter Tuning Applied to Forecast the Daily Natural Flow at Cahora Bassa Dam, Mozambique.

Alfeu D. Martinho, Celso B. M. Ribeiro, Yulia Gorodetskaya, Tales L. Fonseca, Leonardo Goliatt

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019

A Lithology Identification Approach Based on Machine Learning With Evolutionary Parameter Tuning.

Camila Martins Saporetti, Leonardo Goliatt da Fonseca, Egberto Pereira

IEEE Geosci. Remote. Sens. Lett., 2019

Insight About Nonlinear Dimensionality Reduction Methods Applied to Protein Molecular Dynamics.

Vinicius Carius de Souza, Leonardo Goliatt, Priscila V. S. Z. Capriles

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design.

Leonardo Goliatt, Priscila V. S. Z. Capriles, Gisele Goulart Tavares

Proceedings of the Progress in Artificial Intelligence, 2019

Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep Learning.

Luciana Conceição Dias Campos, Leonardo Goliatt da Fonseca, Tales L. Fonseca, Gabriel Dias de Abreu, Letícia Florentino Pires, Yulia Gorodetskaya

Proceedings of the Progress in Artificial Intelligence, 2019

2018

Extreme Learning Machine combined with a Differential Evolution algorithm for lithology identification.

Camila Martins Saporetti, Grasiele Regina Duarte, Tales L. Fonseca, Leonardo Goliatt da Fonseca, Egberto Pereira

RITA, 2018

Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System.

Rafaela Abreu Campos, Renan Piazzaroli Finotti Amaral, Ivan Fabio Mota de Menezes, Leonardo Goliatt da Fonseca, Moises Luiz Lagares, Eduardo Pestana de Aguiar

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

An Extreme Learning Machine with Feature Selection for Estimating Mechanical Properties of Lightweight Aggregate Concretes.

Leonardo Goliatt da Fonseca, Michèle Cristina Resende Farage

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Modeling Heating and Cooling Loads in Buildings Using Gaussian Processes.

Leonardo Goliatt da Fonseca, Priscila V. S. Z. Capriles, Grasiele Regina Duarte

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A New Strategy to Evaluate the Attractiveness in a Dynamic Island Model.

Grasiele Regina Duarte, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Clustering algorithms applied on analysis of protein molecular dynamics.

Vinicius Carius de Souza, Leonardo Goliatt, Priscila V. Z. Capriles Goliatt

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Predicting material backorders in inventory management using machine learning.

Rodrigo Barbosa de Santis, Eduardo Pestana de Aguiar, Leonardo Goliatt da Fonseca

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model.

João Gabriel Rocha Silva, Iago Augusto de Carvalho, Leonardo Goliatt, Vinícius da Fonseca Vieira, Carolina Ribeiro Xavier

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

A dynamic migration policy to the Island Model.

Grasiele Regina Duarte, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography.

Tales L. Fonseca, Leonardo Goliatt, Luciana Conceição Dias Campos, Flávia de Souza Bastos, Luis Paulo S. Barra, Rodrigo Weber dos Santos

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

2012

A Genetic Algorithm Assisted by a Locally Weighted Regression Surrogate Model.

Leonardo Goliatt da Fonseca, Heder S. Bernardino, Helio J. C. Barbosa

Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms.

Leonardo Goliatt da Fonseca, Afonso C. C. Lemonge, Helio J. C. Barbosa

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Surrogate-assisted clonal selection algorithms for expensive optimization problems.

Heder S. Bernardino, Helio J. C. Barbosa, Leonardo Goliatt da Fonseca

Evol. Intell., 2011

2010

Genetic algorithms assisted by similarity-based metamodels.

Leonardo Goliatt da Fonseca

PhD thesis, 2010

Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems.

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Heder S. Bernardino

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Faster Clonal Selection Algorithm for Expensive Optimization Problems.

Heder S. Bernardino, Helio J. C. Barbosa, Leonardo Goliatt da Fonseca

Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

2009

A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations.

Leonardo Goliatt da Fonseca, Helio J. C. Barbosa, Afonso C. C. Lemonge

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

A new hybrid AIS-GA for constrained optimization problems in mechanical engineering.

Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

A Stochastic Rank-Based Ant System for Discrete Structural Optimization.

Leonardo Goliatt da Fonseca, Priscila V. S. Z. Capriles, Helio J. C. Barbosa, Afonso C. C. Lemonge

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007