Leonardo Goliatt

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Gradient Boosting

Machine Learning

Differential Evolution

Feature Selection

Top Venues

Neural Comput. Appl.

Expert Syst. Appl.

Publications

Davi Gotardelo, Leonardo Goliatt
Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective. Evol. Syst. 15 (3) (2024)
Hai Tao, Zainab Hasan Ali, Faisal M. Mukhtar, Ahmed W. Al Zand, Haydar Abdulameer Marhoon, Leonardo Goliatt, Zaher Mundher Yaseen
Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete. Eng. Appl. Artif. Intell. 134 (2024)
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)
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
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions. Eng. Appl. Artif. Intell. 129 (2024)
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
Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models. Neural Comput. Appl. 36 (23) (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)