Genetic Programming Bibliography entries for Filipe Assuncao

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GP coauthors/coeditors: Nuno Lourenco, Penousal Machado, Bernardete Ribeiro, Joao Nuno Goncalves Costa Cavaleiro Correia, Ruben Conceicao, Mario Pimenta, Bernardo Tome, Pedro Carvalho, Francisco Jose Baptista Pereira, Ernesto Costa,

Genetic Programming Articles by Filipe Assuncao

• Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. DENSER: deep evolutionary network structured representation. Genetic Programming and Evolvable Machines, 20(1):5-35, 2019. details

Genetic Programming conference papers by Filipe Assuncao

1. Pedro Carvalho and Nuno Lourenco and Filipe Assuncao and Penousal Machado. AutoLR: An Evolutionary Approach to Learning Rate Policies. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 672-680, internet, 2020. Association for Computing Machinery. details

2. Filipe Assuncao and Nuno Lourenco and Bernardete Ribeiro and Penousal Machado. Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. In Pedro A. Castillo and Juan Luis Jimenez Laredo and Francisco Fernandez de Vega editors, 23rd International Conference, EvoApplications 2020, volume 12104, pages 530-545, Seville, Spain, 2020. Springer Verlag. details

3. Filipe Assuncao and Nuno Lourenco and Bernardete Ribeiro and Penousal Machado. Incremental Evolution and Development of Deep Artificial Neural Networks. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 35-51, Seville, Spain, 2020. Springer Verlag. details

4. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Fast DENSER: Efficient Deep NeuroEvolution. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 197-212, Leipzig, Germany, 2019. Springer Verlag. details

5. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Evolving the Topology of Large Scale Deep Neural Networks. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 19-34, Parma, Italy, 2018. Springer Verlag. details

6. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Using GP is NEAT: Evolving Compositional Pattern Production Functions. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 3-18, Parma, Italy, 2018. Springer Verlag. details

7. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Towards the Evolution of Multi-layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 393-400, Berlin, Germany, 2017. ACM. details

8. Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. Automatic generation of neural networks with structured Grammatical Evolution. In 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1557-1564, 2017. details

Genetic Programming book chapters by Filipe Assuncao

• Nuno Lourenco and Filipe Assuncao and Francisco B. Pereira and Ernesto Costa and Penousal Machado. Structured Grammatical Evolution: A Dynamic Approach. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 6, pages 137-161. Springer, 2018. details

• Penousal Machado and Joao Correia and Filipe Assuncao. Graph-Based Evolutionary Art. In Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors, Handbook of Genetic Programming Applications, chapter 1, pages 3-36. Springer, 2015. details

Genetic Programming other entries for Filipe Assuncao

• Filipe Assuncao and Joao Correia and Ruben Conceicao and Mario Pimenta and Bernardo Tome and Nuno Lourenco and Penousal Machado. Automatic Design of Artificial Neural Networks for Gamma-Ray Detection. 2019. details

• Filipe Assuncao and Nuno Lourenco and Penousal Machado and Bernardete Ribeiro. DENSER: Deep Evolutionary Network Structured Representation. 2018. details