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Number of items: 13.

Article

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 ,

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.

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 ,

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.

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),

Book Section

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. UNSPECIFIED. (In Press)

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.

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.

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.

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