PSO with path relinking for resource allocation using simulation optimization. - Marcella S. R. Martins; Stefan Campana Fuchs; L. U. Pando; Ricardo Lüders; Myriam Regattieri Delgado (Comput. Ind. Eng., 2013)

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. - Marcella S. R. Martins; Myriam Regattieri de Biase da Silva Delgado; Roberto Santana 001; Ricardo Lüders; Richard Aderbal Gonçalves; Carolina Paula de Almeida (GECCO, 2016)

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. - Marcella Scoczynski Ribeiro Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (BRACIS, 2017)

A hybrid multi-objective bayesian estimation of distribution algorithm - Marcella Scoczynski Ribeiro Martins (2017)

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. - Marcella S. R. Martins; Mohamed El Yafrani; Roberto Santana 001; Myriam Regattieri Delgado; Ricardo Lüders; Belaïd Ahiod (CEC, 2018)

A fitness landscape analysis of the travelling thief problem. - Mohamed El Yafrani; Marcella S. R. Martins; Mehdi El Krari; Markus Wagner 007; Myriam Regattieri de Biase da Silva Delgado; Belaïd Ahiod; Ricardo Lüders (GECCO, 2018)

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. - Marcella S. R. Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (Appl. Soft Comput., 2018)

A hyperheuristic approach based on low-level heuristics for the travelling thief problem. - Mohamed El Yafrani; Marcella S. R. Martins; Markus Wagner 007; Belaïd Ahiod; Myriam Regattieri Delgado; Ricardo Lüders (Genet. Program. Evolvable Mach., 2018)

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. - Marcella S. R. Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (J. Heuristics, 2018)

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Inkyung Sung; Markus Wagner 007; Diego Oliva (BRACIS, 2019)

A Bayesian based Hyper-Heuristic approach for global optimization. - Diego Oliva; Marcella S. R. Martins (CEC, 2019)

A characterisation of S-box fitness landscapes in cryptography. - Domagoj Jakobovic; Stjepan Picek; Marcella S. R. Martins; Markus Wagner 007 (GECCO, 2019)

Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. - Diego Oliva; Salvador Hinojosa; Marcella S. R. Martins; Erick Rodríguez-Esparza; Noé Ortega-Sánchez; Marco Antonio Pérez Cisneros (LA-CCI, 2019)

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. - Mohamed El Yafrani; Marcella S. R. Martins; Myriam Regattieri de Biase da Silva Delgado; Inkyung Sung; Ricardo Lüders; Markus Wagner 007 (CoRR, 2019)

Balancing the Influence of Evolutionary Operators for Global optimization. - Diego Oliva; Erick Rodríguez-Esparza; Marcella S. R. Martins; Mohamed E. Abd Elaziz; Salvador Hinojosa; Ahmed A. Ewees; Songfeng Lu (CEC, 2020)

Multi-layer local optima networks for the analysis of advanced local search-based algorithms. - Marcella S. R. Martins; Mohamed El Yafrani; Myriam R. B. S. Delgado; Ricardo Lüders (GECCO, 2020)

Plants recognition using embedded Convolutional Neural Networks on Mobile devices. - Denise Pechebovicz; Sthefanie Monica Premebida; Vinicios Soares; Thiago Camargo; Jakson L. Bittencourt; Virgínia H. V. Baroncini; Marcella S. R. Martins (ICIT, 2020)

Sunspot behavior forecast using neural networks approaches. - Sthefanie Monica Premebida; Denise Pechebovicz; Thiago Camargo; Henrique Nazário; Vinicios Soares; Virgínia H. V. Baroncini; Erikson Freitas de Morais; Hugo Siqueira 001; Diego Oliva; Marcella S. R. Martins (ICIT, 2020)

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. - Marko Durasevic; Domagoj Jakobovic; Marcella Scoczynski Ribeiro Martins; Stjepan Picek; Markus Wagner 007 (PPSN (2), 2020)

Combining information from thresholding techniques through an evolutionary Bayesian network algorithm. - Diego Oliva; Marcella S. R. Martins; Valentín Osuna-Enciso; Erikson Freitas de Morais (Appl. Soft Comput., 2020)

MATE: A Model-based Algorithm Tuning Engine. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Inkyung Sung; Markus Wagner 007; Carola Doerr; Peter Nielsen (CoRR, 2020)

MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Inkyung Sung; Markus Wagner 007; Carola Doerr; Peter Nielsen (EvoCOP, 2021)

A selection hyperheuristic guided by Thompson sampling for numerical optimization. - Marcella Scoczynski Ribeiro Martins; Diego Oliva; Erick Rodríguez-Esparza; Myriam Regattieri Delgado; Ricardo Lüders; Mohamed El Yafrani; Luiz Ledo; Mohamed E. Abd Elaziz; Marco Antonio Pérez Cisneros (GECCO Companion, 2021)

A Hybrid Model With Error Correction for Wind Speed Forecasting. - Tathiana M. Barchi; Lucas Francesco Piccioni Costa; Erickson Diogo Pereira Puchta; Marcella S. R. Martins; Mauren Louise Sguario C. Andrade; Paulo S. G. de Mattos Neto; Hugo Valadares Siqueira (LA-CCI, 2021)

A practical Deep Learning approach to assist COVID-19 detection based on Chest X-ray images. - Thiago Fellipe Ortiz de Camargo; Paulo Victor dos Santos; Sthefanie Monica Premebida; Guilherme Alberto Sousa Ribeiro; Mayler Olombrada; Vinicios Roberto Soares; Rommel Melgaço Barbosa; Wesley Pacheco Calixto; Cleomar Rocha; Cristhiane Gonçalves; Fernanda Cristina Corrêa; Virgínia Helena Varotto Baroncini; et al. (LA-CCI, 2021)

EOG Signal Analysis Based on Multi-Label Classification by Neural Network Backpropagation. - João Vitor Ferro Simões; Luiz Henrique de Almeida Mattos; Marcella Scoczynski Ribeiro Martins; Sergio Luiz Stevan Jr. (LA-CCI, 2021)

Toward more efficient heuristic construction of Boolean functions. - Domagoj Jakobovic; Stjepan Picek; Marcella S. R. Martins; Markus Wagner 007 (Appl. Soft Comput., 2021)

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. - Marcella S. R. Martins; Mohamed El Yafrani; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Hugo Valadares Siqueira; Huseyin Gokhan Akcay; Belaïd Ahiod (J. Heuristics, 2021)

Saving computational budget in Bayesian network-based evolutionary algorithms. - Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Diego Oliva; Markus Wagner 007; Inkyung Sung; Mohamed El Yafrani (Nat. Comput., 2021)

On the fitness landscapes of interdependency models in the travelling thief problem. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Peter Nielsen; Markus Wagner 007 (GECCO Companion, 2022)

A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. - Diego Oliva; Marcella S. R. Martins; Salvador Hinojosa; Mohamed E. Abd Elaziz; Paulo Victor dos Santos; Gelson da Cruz; Seyed Jalaleddin Mousavirad (Int. J. Mach. Learn. Cybern., 2022)

Building Knowledge Graphs in Heliophysics and Astrophysics. - Fech Scen Khoo; Megan Mark; Roelien C. Timmer; Marcella Scoczynski Ribeiro Martins; Emily Foshee; Kaylin M. Bugbee; Gregory Renard; Anamaria Berea (NLDB, 2023)

NASA Science Mission Directorate Knowledge Graph Discovery. - Roelien C. Timmer; Megan Mark; Fech Scen Khoo; Marcella Scoczynski Ribeiro Martins; Anamaria Berea; Gregory Renard; Kaylin M. Bugbee (WWW (Companion Volume), 2023)

A regression analysis of the impact of routing and packing dependencies on the expected runtime. - Mohamed El Yafrani; Marcella Scoczynski; Markus Wagner 007; Peter Nielsen (Soft Comput., 2023)

Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison. - Lucas Francesco Piccioni Costa; Tathiana M. Barchi; Erikson Freitas de Morais; Andres E. Coca; Elder Schemberger; Marcella S. R. Martins; Hugo Valadares Siqueira (Appl. Artif. Intell., 2023)

A novel unsupervised segmentation approach for brain computed tomography employing hyperparameter optimization. - Paulo Dos Santos; Marcella Scoczynski; Solange Amorim Nogueira; Rafael Maffei Loureiro; Cristhiane Gonçalves; Wesley Pacheco Calixto (GECCO Companion, 2024)

Evaluating PID Controller Tuning via Metaheuristics: A Comparative Case Study. - Murilo Moreira Mello; Hugo Valadares Siqueira; Jeferson José de Lima; Marcella Scoczynski (LA-CCI, 2024)

Application of machine learning models for predicting variables of industrial processes: A case study in a petrochemical industry. - Claudio Adriano Vieira; Paulo Victor dos Santos; Heron Oliveira dos Santos Lima; Jeferson José de Lima; Marcella Scoczynski (LA-CCI, 2024)