Genetic Programming Bibliography entries for Alcides Fonseca

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GP coauthors/coeditors: Pedro Santos Barbosa, Rosina Savisaar, Fabricio Olivetti de Franca, Marco Virgolin, Michael Kommenda, Maimuna Majumder, Miles Cranmer, Guilherme Jorge Nunes Monteiro Espada, Leon Ingelse, Mikel Landajuela, Brenden Kyle Petersen, Ruben Glatt, T Nathan Mundhenk, Chak Shing Lee, Jacob Dean Hochhalter, David L Randall, Pierre-Alexandre Kamienny, Hengzhe Zhang, Grant Dick, Alessandro Simon, Bogdan Burlacu, Jaan Kasak, Meera Machado, Casper Wilstrup, William La Cava, Paulo Alexandre Canelas dos Santos, Sara Silva, Diogo Pocas, Jose-Ignacio Hidalgo, J Manuel Colmenar, Nuno Lourenco,

Genetic Programming Articles by Alcides Fonseca

Genetic Programming PhD doctoral thesis Alcides Fonseca

Genetic Programming conference papers by Alcides Fonseca

  1. Pedro Barbosa and Rosina Savisaar and Alcides Fonseca. Semantically Rich Local Dataset Generation for Explainable AI in Genomics. In Jean-Baptiste Mouret and Kai Qin and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 267-276, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Leon Ingelse and Jose-Ignacio Hidalgo and Jose Manuel Colmenar and Nuno Lourenco and Alcides Fonseca. Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. In Conor Ryan and Mahsa Mahdinejad and Aidan Murphy editors, Grammatical Evolution Workshop - 25 years of GE, pages 2013-2021, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Alcides Fonseca and Diogo Pocas. Comparing the Expressive Power of Strongly-Typed and Grammar-Guided Genetic Programming. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1100-1108, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Leon Ingelse and Alcides Fonseca. Domain-Aware Feature Learning with Grammar-Guided Genetic Programming. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 227-243, Brno, Czech Republic, 2023. Springer Verlag. details

  5. Guilherme Espada and Leon Ingelse and Paulo Canelas and Pedro Barbosa and Alcides Fonseca. Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming. In Bernhard Scholz and Yukiyoshi Kameyama editors, 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE 2022), pages 86-94, Auckland, New Zealand, 2022. ACM. details

  6. Alcides Fonseca and Paulo Santos and Guilherme Espada and Sara Silva. Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 45-62, East Lansing, USA, 2021. Springer. details

  7. Paulo Santos and Sara Silva and Alcides Fonseca. Refined Typed Genetic Programming as a User Interface for Genetic Programming. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 251-252, internet, 2020. Association for Computing Machinery. details

  8. Alcides Fonseca and Paulo Santos and Sara Silva. The Usability Argument for Refinement Typed Genetic Programming. In Thomas Baeck and Mike Preuss and Andre Deutz and Hao Wang2 and Carola Doerr and Michael Emmerich and Heike Trautmann editors, 16th International Conference on Parallel Problem Solving from Nature, Part II, volume 12270, pages 18-32, Leiden, Holland, 2020. Springer. details

Genetic Programming other entries for Alcides Fonseca