Marcella S. R. Martins

23 papers A 4B 3Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison. Appl. Artif. Intell. Lucas Francesco Piccioni Costa, Tathiana M. Barchi, Erikson Freitas de Morais, Andres E. Coca, Elder Schemberger, Marcella S. R. Martins, Hugo Valadares Siqueira
2022	J	`jnl`	A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. Int. J. Mach. Learn. Cybern. Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed E. Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, Seyed Jalaleddin Mousavirad
2021	—	`conf`	A Hybrid Model With Error Correction for Wind Speed Forecasting. LA-CCI 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
2021	J	`jnl`	Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. J. Heuristics Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod
2021	J	`jnl`	Toward more efficient heuristic construction of Boolean functions. Appl. Soft Comput. Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
2020	B	`conf`	Balancing the Influence of Evolutionary Operators for Global optimization. CEC Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu
2020	J	`jnl`	Combining information from thresholding techniques through an evolutionary Bayesian network algorithm. Appl. Soft Comput. Diego Oliva, Marcella S. R. Martins, Valentín Osuna-Enciso, Erikson Freitas de Morais
2020	A	`conf`	Multi-layer local optima networks for the analysis of advanced local search-based algorithms. GECCO Marcella S. R. Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders
2020	—	`conf`	Plants recognition using embedded Convolutional Neural Networks on Mobile devices. ICIT Denise Pechebovicz, Sthefanie Monica Premebida, Vinicios Soares, Thiago Camargo, Jakson L. Bittencourt, Virgínia H. V. Baroncini, Marcella S. R. Martins
2020	—	`conf`	Sunspot behavior forecast using neural networks approaches. ICIT Sthefanie Monica Premebida, Denise Pechebovicz, Thiago Camargo, Henrique Nazário, Vinicios Soares, Virgínia H. V. Baroncini, Erikson Freitas de Morais, Hugo Siqueira, Diego Oliva, Marcella S. R. Martins
2019	B	`conf`	A Bayesian based Hyper-Heuristic approach for global optimization. CEC Diego Oliva, Marcella S. R. Martins
2019	A	`conf`	A characterisation of S-box fitness landscapes in cryptography. GECCO Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
2019	J	`jnl`	A characterisation of S-box fitness landscapes in cryptography. CoRR Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner
2019	—	`conf`	Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. LA-CCI Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco Antonio Pérez Cisneros
2019	J	`jnl`	On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. CoRR Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner
2018	A	`conf`	A fitness landscape analysis of the travelling thief problem. GECCO Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders
2018	J	`jnl`	A hyperheuristic approach based on low-level heuristics for the travelling thief problem. Genet. Program. Evolvable Mach. Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders
2018	J	`jnl`	Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. Appl. Soft Comput. Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
2018	J	`jnl`	Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. J. Heuristics Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
2018	B	`conf`	On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. CEC Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod
2018	J	`jnl`	On the performance of multi-objective estimation of distribution algorithms for combinatorial problems. CoRR Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod
2016	A	`conf`	HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. GECCO Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida
2013	J	`jnl`	PSO with path relinking for resource allocation using simulation optimization. Comput. Ind. Eng. Marcella S. R. Martins, Stefan Campana Fuchs, L. U. Pando, Ricardo Lüders, Myriam Regattieri Delgado