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Number of items: 25.

Campelo, Felipe and Lobo, Francisco P. (2024). The rise of taxon-specific epitope predictors. Briefings in Bioinformatics, 25 (2),

Ashford, Jodie, Ekárt, Anikó and Campelo, Felipe (2024). Estimating the Limits of Organism-Specific Training for Epitope Prediction. IN: 4th Workshop on Artificial Intelligence and Big Data vs. Pandemics. TUR: IEEE.

Campelo, Felipe and Aranha, Claus (2023). Lessons from the Evolutionary Computation Bestiary. Artificial Life, 29 (4), pp. 421-432.

Marques de Castro, Giovanni, Campelo, Felipe and Lobo, Francisco (2023). Why are some plants taller? Researchers on the unveiling of genetic variation associated with complex quantitative phenotypes. Patterns, 4 (6),

Hongo, Jorge Augusto, Marques de Castro, Giovanni, Menezes, Alison, Picorelli, Agnello, Martins da Silva, Thieres, Imada, Eddie Luidy, Marchionni, Luigi, Del-Bem, Luiz Eduardo, Chaves, Anderson, Almeida, Gabriel, Campelo, Felipe and Lobo, Francisco (2023). CALANGO: a phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. Patterns ,

Bessani, Michel, de S. Batista, Lucas and Campelo, Felipe (2022). Characterization of Distribution Systems Topological Flexibility using Bipartite Multigraphs. Procedings do Congresso Brasileiro de Automática, 3 (1), pp. 1838-1843.

Abukmeil, Reem, Al-Mallahi, Ahmad and Campelo, Felipe (2022). New approach to estimate macro and micronutrients in potato plants based on foliar spectral reflectance. Computers and Electronics in Agriculture, 198 ,

G. Chaves, Daniel, Takahashi, Ricardo H.C., Campelo, Felipe, F.S. Malta, Maria Clara, R. Oliveira, Isabelle, F. Barbosa-Stancioli, Edel, A. Ribeiro, Maisa and L. Martins, Marina (2022). SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil. Emerging Infectious Diseases, 28 (4), pp. 734-742.

Aranha, Claus, Camacho-Villalón, Christian Leonardo, Campelo, Felipe, Dorigo, Marco, Ruiz, Ruben, Sevaux, Marc, Sörensen, Kenneth and Stützle, Thomas (2022). Metaphor-based metaheuristics, a call for action:The elephant in the room. Swarm Intelligence, 16 , pp. 1-6.

Ashford, Jodie, Reis-Cunha, João, Lobo, Igor, Lobo, Francisco and Campelo, Felipe (2021). Organism-Specific Training Improves Performance of Linear B-Cell Epitope Prediction. Bioinformatics, 37 (24), 4826–4834.

Campelo, Felipe and Aranha, Claus (2021). Sharks, Zombies and Volleyball: Lessons from the Evolutionary Computation Bestiary. IN: Proceedings of the LIFELIKE Computing Systems Workshop 2021. CEUR Workshop Proceedings, 3007 .

Carrano, Eduardo G., Campelo, Felipe and Takahashi, Ricardo (2021). Diversity-Driven Selection Operator for Combinatorial Optimization. IN: Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, Hisao; Zhang, Qingfu; Cheng, Ran; Li, Ke; Li, Hui; Wang, Handing and Zhou, Aimin (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . CHN: Springer.

Pritchard, Michael, Weinberg, Abraham Itzhak, Williams, John A R, Campelo, Felipe, Goldingay, Harry and Faria, Diego R (2021). Dynamic Fusion of Electromyographic and Electroencephalographic Data towards Use in Robotic Prosthesis Control. Journal of Physics: Conference Series, 1828 (1),

Campelo, Felipe and Wanner, Elizabeth (2020). Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances. Journal of Heuristics, 26 (6), 851–883.

Lavinas, Yuri, Aranha, Claus, Ladeira, Marcelo and Campelo, Felipe (2020). MOEA/D with Random Partial Update Strategy. IN: 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. GBR: IEEE.

Campelo, Felipe, Batista, Lucas and Aranha, Claus (2020). The MOEADr Package – A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. Journal of Statistical Software, 92 (6), pp. 1-39.

Trindade, Áthila and Campelo, Felipe (2019). Tuning metaheuristics by sequential optimisation of regression models. Applied Soft Computing, 85 ,

Alexandre, Rafael Frederico, Campelo, Felipe and de Vasconcelos, João Antônio (2019). Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations. Learning and Nonlinear Models, 17 (2), pp. 53-66.

Campelo, Felipe and Takahashi, Fernanda (2019). Sample size estimation for power and accuracy in the experimental comparison of algorithms. Journal of Heuristics, 25 (2), pp. 305-338.

Aranha, Claus, Campelo, Felipe and Batista, Lucas S. (2018). Understanding Multi-objective Evolutionary Algorithms through Component Oriented Design. IN: 第 13 回進化計算学会研究会. JPN: Japanese Society of Evolutionary Computation.

de Souza, Daniel Edilson, Goulart, Fillipe, Batista, Lucas S. and Campelo, Felipe (2017). A Preference-guided Multiobjective Evolutionary Algorithm based on Decomposition. IN: XIV Encontro Nacional de Inteligencia Artificial e Computacional. BRA: Sociedade Brasileira de Computação.

Alexandre, Rafael Frederico, Campelo, Felipe, Fonseca, Carlos M. and De Vasconcelos, João Antonio (2015). A comparative study of algorithms for solving the multiobjective open-pit mining operational planning problems. IN: Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Proceedings. Gaspar-Cunha, António; Antunes, Carlos Henggeler and Coello, Carlos A. Coello (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . PRT: Springer.

Sato, Yuki, Campelo, Felipe and Igarashi, Hajime (2015). Fast Shape Optimization of Antennas Using Model Order Reduction. IEEE Transactions on Magnetics, 51 (3),

Mori, Takuya, Murakami, Ryo, Sato, Yuki, Campelo, Felipe and Igarashi, Hajime (2015). Shape Optimization of Wideband Antennas for Microwave Energy Harvesters Using FDTD. IEEE Transactions on Magnetics, 51 (3),

Goulart, Fillipe, Campelo, Felipe and Ramírez, Jaime A. (2011). Estudo Dos Mecanismos De Funcionamento Do Algoritmo De Evolução Diferencial. IN: Anais do 10. Congresso Brasileiro de Inteligência Computacional. ABRICOM.

This list was generated on Fri Jun 14 03:19:57 2024 BST.