Genetic Programming Bibliography entries for Fabricio Olivetti de Franca

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GP coauthors/coeditors: Guilherme Seidyo Imai Aldeia, Guilherme Palermo Coelho, Christian Haider, Gabriel Kronberger, Bogdan Burlacu, Daniel Silva Kantor, Fernando Jose Von Zuben, Michael Kommenda, William La Cava, Patryk Orzechowski, Marco Virgolin, Ying Jin, Jason H Moore,

Genetic Programming Articles by Fabricio Olivetti de Franca

  1. F. O. de Franca and G. S. I. Aldeia. Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. Evolutionary Computation, 29(3):367-390, 2021. details

  2. Fabricio Olivetti de Franca. A greedy search tree heuristic for symbolic regression. Information Sciences, 442:18-32, 2018. details

  3. G. Kronberger and F. O. de Franca and B. Burlacu and C. Haider and M. Kommenda. Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. Evolutionary Computation. Forthcoming. details

  4. Guilherme Seidyo Imai Aldeia and Fabricio Olivetti de Franca. Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set. Genetic Programming and Evolvable Machines. Special Issue: Highlights of Genetic Programming 2021 EventsOnline first. details

Genetic Programming conference papers by Fabricio Olivetti de Franca

  1. Christian Haider and Fabricio De Franca and Gabriel Kronberger and Bogdan Burlacu. Comparing Optimistic and Pessimistic Constraint Evaluation in Shape-constrained Symbolic Regression. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 938-945, Boston, USA, 2022. Association for Computing Machinery. details

  2. Fabricio de Franca. Transformation-Interaction-Rational Representation for Symbolic Regression. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 920-928, Boston, USA, 2022. Association for Computing Machinery. details

  3. William La Cava and Patryk Orzechowski and Bogdan Burlacu and Fabricio de Franca and Marco Virgolin and Ying Jin and Michael Kommenda and Jason Moore. Contemporary Symbolic Regression Methods and their Relative Performance. In J. Vanschoren and S. Yeung editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, volume 1, 2021. details

  4. Daniel Kantor and Fernando J. Von Zuben and Fabricio Olivetti de Franca. Simulated Annealing for Symbolic Regression. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 592-599, internet, 2021. Association for Computing Machinery. details

  5. Guilherme Seidyo Imai Aldeia and Fabricio Olivetti de Franca. Measuring Feature Importance of Symbolic Regression Models Using Partial Effects. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 750-758, internet, 2021. Association for Computing Machinery. details

  6. Guilherme Aldeia and Fabricio de Franca. A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24027, internet, 2020. IEEE Press. details

  7. Guilherme Aldeia and Fabricio de Franca. Lightweight Symbolic Regression with the Interaction-Transformation Representation. In Marley Vellasco editor, 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE. details

  8. Fabricio de Franca and Guilherme Coelho. Identifying Overlapping Communities in Complex Networks with Multimodal Optimization. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 269-276, Cancun, Mexico, 2013. details