Leonardo Goliatt

35 papers C 3Misc 2Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comparative study of ensemble and non-ensemble machine learning methods for predicting river pollution index. Ecol. Informatics Luisa S. R. Nogueira, Mariana A. S. de Carvalho, Berilo de Oliveira Santos, Roland Yonaba, Apoorva Bamal, Md Galal Uddin, Matteo Bodini, Leonardo Goliatt
2026	J	`jnl`	Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling. CoRR Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt, Sven Groppe
2025	J	`jnl`	Evaluation of Detrended Fluctuation Analysis applied to audio signals from drum cymbals in different machine learning classification contexts. Eng. Appl. Artif. Intell. Tales H. A. Boratto, Elineudo P. de Moura, Douglas Fonseca, Alexandre A. Cury, Leonardo Goliatt
2025	J	`jnl`	Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management. Ecol. Informatics Tulio J. Francisco, Bruno da Silva Macêdo, Zaher Mundher Yaseen, Nikolay O. Nikitin, Matteo Bodini, Angela Gorgoglione, Camila Martins Saporetti, Leonardo Goliatt
2025	J	`jnl`	Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability. Eng. Appl. Artif. Intell. Hai Tao, Mohammed Suleman Aldlemy, Mohammed Ayad Saad, Swee Pin Yeap, Atheer Y. Oudah, Omer A. Alawi, Leonardo Goliatt, Shamsad Ahmad, Zaher Mundher Yaseen, Ravinesh C. Deo
2025	J	`jnl`	Machine-learning optimized wavelet framework for multi-scale streamflow forecasting to enhance water-resource management. Ecol. Informatics Yulia Gorodetskaya, Rodrigo Oliveira Silva, Lucas Henrique Nogueira, Angela Gorgoglione, Matteo Bodini, Celso B. M. Ribeiro, Leonardo Goliatt
2025	J	`jnl`	Multi-criteria polynomial neural networks for hydrological time series modeling. Earth Sci. Informatics Danilo P. M. Souza, Gabriel E. Carlos, Eliane da S. Christo, Alfeu D. Martinho, Leonardo Goliatt
2025	J	`jnl`	Optimizing engineering design problems using adaptive differential learning teaching-learning-based optimization: Novel approach. Expert Syst. Appl. Hai Tao, Mohammed Suleman Aldlemy, Iman Ahmadianfar, Leonardo Goliatt, Haydar Abdulameer Marhoon, Raad Z. Homod, Hussein Togun, Zaher Mundher Yaseen
2024	J	`jnl`	Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete. Eng. Appl. Artif. Intell. Hai Tao, Zainab Hasan Ali, Faisal M. Mukhtar, Ahmed W. Al Zand, Haydar Abdulameer Marhoon, Leonardo Goliatt, Zaher Mundher Yaseen
2024	J	`jnl`	Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection. J. Intell. Manuf. Tales H. A. Boratto, Camila Martins Saporetti, Samuel da Costa Alves Basilio, Alexandre A. Cury, Leonardo Goliatt
2024	J	`jnl`	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. 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
2024	J	`jnl`	Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective. Evol. Syst. Davi Gotardelo, Leonardo Goliatt
2024	J	`jnl`	Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models. Neural Comput. Appl. 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
2023	J	`jnl`	An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution. Neural Comput. Appl. Rodrigo Oliveira Silva, Camila Martins Saporetti, Zaher Mundher Yaseen, Egberto Pereira, Leonardo Goliatt
2023	J	`jnl`	An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil. Earth Sci. Informatics Samuel da Costa Alves Basilio, Fernando Ferrari Putti, Angélica Carvalho Cunha, Leonardo Goliatt
2023	J	`jnl`	An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling. Neural Comput. Appl. Samuel da Costa Alves Basilio, Camila Martins Saporetti, Leonardo Goliatt
2023	J	`jnl`	An island-based hybrid evolutionary algorithm for caloric-restricted diets. Evol. Intell. Carolina Ribeiro Xavier, João Gabriel Rocha Silva, Grasiele Regina Duarte, Iago Augusto de Carvalho, Vinícius da Fonseca Vieira, Leonardo Goliatt
2023	J	`jnl`	Development of a hybrid computational intelligent model for daily global solar radiation prediction. Expert Syst. Appl. Leonardo Goliatt, Zaher Mundher Yaseen
2023	J	`jnl`	Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures. Evol. Intell. Victor Rezende Franco, Marcos Cicarini Hott, Ricardo Guimarães Andrade, Leonardo Goliatt
2023	J	`jnl`	Machine learning-based classification of bronze alloy cymbals from microphone captured data enhanced with feature selection approaches. Expert Syst. Appl. Tales H. A. Boratto, Alexandre A. Cury, Leonardo Goliatt
2022	J	`jnl`	A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems. Int. J. Fuzzy Syst. Michell Hell, Eduardo Pestana de Aguiar, Nielson Soares, Leonardo Goliatt
2021	Misc	`conf`	Automatic Evolutionary Settings of Machine Learning Methods for Buildings' Thermal Loads Prediction. EPIA Gisele Goulart Tavares, Priscila V. S. Z. Capriles, Leonardo Goliatt
2021	Misc	`conf`	Multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River. EPIA Gabriel Dias de Abreu, Letícia Florentino Pires, Luciana Conceição Dias Campos, Leonardo Goliatt
2021	J	`jnl`	Neural network boosted with differential evolution for lithology identification based on well logs information. Earth Sci. Informatics Camila Martins Saporetti, Leonardo Goliatt, Egberto Pereira
2021	J	`jnl`	Unsupervised machine learning techniques to prevent faults in railroad switch machines. Int. J. Crit. Infrastructure Prot. Nielson Soares, Eduardo Pestana de Aguiar, Amanda Campos Souza, Leonardo Goliatt
2020	C	`conf`	A Extreme Gradient Boosting Classifier for Predicting Chronic Kidney Disease Stages. ISDA João P. Scoralick, Gabriele C. Iwashima, Fernando Antonio Basile Colugnati, Leonardo Goliatt, Priscila V. S. Z. Capriles
2020	C	`conf`	Automated Extreme Learning Machine to Forecast the Monthly Flows: A Case Study at Zambezi River. ISDA Alfeu D. Martinho, Tales L. Fonseca, Leonardo Goliatt
2020	—	`conf`	Extreme Learning Machine with Evolutionary Parameter Tuning Applied to Forecast the Daily Natural Flow at Cahora Bassa Dam, Mozambique. BIOMA Alfeu D. Martinho, Celso B. M. Ribeiro, Yulia Gorodetskaya, Tales L. Fonseca, Leonardo Goliatt
2020	C	`conf`	Hybrid Extreme Learning Machine and Backpropagation with Adaptive Activation Functions for Classification Problems. ISDA Tales L. Fonseca, Leonardo Goliatt
2020	—	`conf`	Migration Guided by a Performance Index in Heterogeneous Island Models. BIOMA Rodrigo C. A. F. Pontes, Grasiele Regina Duarte, Leonardo Goliatt
2019	—	`conf`	Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design. EPIA (1) Leonardo Goliatt, Priscila V. S. Z. Capriles, Gisele Goulart Tavares
2019	—	`conf`	Insight About Nonlinear Dimensionality Reduction Methods Applied to Protein Molecular Dynamics. IWBBIO (2) Vinicius Carius de Souza, Leonardo Goliatt, Priscila V. S. Z. Capriles
2017	—	`conf`	A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model. ICCSA (1) João Gabriel Rocha Silva, Iago Augusto de Carvalho, Leonardo Goliatt, Vinícius da Fonseca Vieira, Carolina Ribeiro Xavier
2017	—	`conf`	Clustering algorithms applied on analysis of protein molecular dynamics. LA-CCI Vinicius Carius de Souza, Leonardo Goliatt, Priscila V. Z. Capriles Goliatt
2016	—	`conf`	Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography. IBERAMIA Tales L. Fonseca, Leonardo Goliatt, Luciana Conceição Dias Campos, Flávia de Souza Bastos, Luis Paulo S. Barra, Rodrigo Weber dos Santos