Genetic Programming Bibliography entries for Francesco R Fontanella

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GP coauthors/coeditors: Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Mario Giacobini, Leonardo Vanneschi, Illya Bakurov, Mauro Castelli, Olivier Gau, Alessandra Scotto di Freca, Luigi Pietro Cordella, Angelo Marcelli, Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Gianluigi Folino, Giulia Di Capua, Mario Molinara, Nunzio Oliva, Nicola Femia, Carmine Bourelly, Filippo Milano, Francesco Porpora,

Genetic Programming Articles by Francesco R Fontanella

  1. Irene Azzali and Nicole D. Cilia and Claudio De Stefano and Francesco Fontanella and Mario Giacobini and Leonardo Vanneschi. Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. Swarm and Evolutionary Computation, 87:101571, 2024. details

  2. I. Bakurov and M. Castelli and F. Fontanella and A. Scotto di Freca and L. Vanneschi. A novel binary classification approach based on geometric semantic genetic programming. Swarm and Evolutionary Computation, 69:101028, 2022. details

  3. Illya Bakurov and Mauro Castelli and Olivier Gau and Francesco Fontanella and Leonardo Vanneschi. Genetic programming for stacked generalization. Swarm and Evolutionary Computation, 65:100913, 2021. details

  4. C. De Stefano and G. Folino and F. Fontanella and A. Scotto di Freca. Using Bayesian networks for selecting classifiers in GP ensembles. Information Sciences, 258:200-216, 2014. details

Genetic Programming conference papers by Francesco R Fontanella

  1. G. Di Capua and C. Bourelly and C. De Stefano and F. Fontanella and F. Milano and M. Molinara and N. Oliva and F. Porpora. Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. In Joao Correia and Stephen Smith and Raneem Qaddoura editors, 26th International Conference, EvoApplications 2023, volume 13989, pages 461-474, Brno, Czech Republic, 2023. Springer Verlag. details

  2. Giulia Di Capua and Mario Molinara and Francesco Fontanella and Claudio De Stefano and Nunzio Oliva and Nicola Femia. Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks. In Claudio De Stefano and Francesco Fontanella and Leonardo Vanneschi editors, WIVACE 2022, XVI International Workshop on Artificial Life and Evolutionary Computation, volume 1780, pages 245-253, Gaeta (LT), Italy, 2022. Springer. details

  3. Irene Azzali and Nicole Dalia Cilia and Claudio De Stefano and Francesco Fontanella and Mario Giacobini and Leonardo Vanneschi. Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. In Juan Luis Jimenez Laredo and J. Ignacio Hidalgo and Kehinde Oluwatoyin Babaagba editors, 25th International Conference, EvoApplications 2022, volume 13224, pages 517-530, Madrid, 2022. Springer. details

  4. Illya Bakurov and Mauro Castelli and Francesco Fontanella and Leonardo Vanneschi. A Regression-like Classification System for Geometric Semantic Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, pages 40-48, 2019. ScitePress. details

  5. Claudio De Stefano and Gianluigi Folino and Francesco Fontanella and Alessandra Scotto di Freca. Pruning GP-Based Classifier Ensembles by Bayesian Networks. In Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors, Parallel Problem Solving from Nature, PPSN XII (part 1), volume 7491, pages 236-245, Taormina, Italy, 2012. Springer. details

  6. C. De Stefano and F. Fontanella and G. Folino and A. Scotto di Freca. A Bayesian Approach for Combining Ensembles of GP Classifiers. In Carlo Sansone and Josef Kittler and Fabio Roli editors, Multiple Classifier Systems, volume 6713, pages 26-35, 2011. Springer. details

  7. Claudio De Stefano and Gianluigi Folino and Francesco Fontanella and Alessandra Scotto di Freca. Using Bayesian networks for selecting classifiers in GP ensembles. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 173-174, Dublin, Ireland, 2011. ACM. details

  8. Luigi P. Cordella and Claudio De Stefano and Francesco Fontanella and Angelo Marcelli. Looking for Prototypes by Genetic Programming. In Nanning Zheng and Xiaoyi Jiang and Xuguang Lan editors, Advances in Machine Vision, Image Processing, and Pattern Analysis, International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006, Proceedings, volume 4153, pages 152-159, Xi'an, China, 2006. Springer. details

  9. L. P. Cordella and C. De Stefano and F. Fontanella and A. Marcelli. Genetic Programming for Generating Prototypes in Classification Problems. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 2, pages 1149-1155, Edinburgh, UK, 2005. IEEE Press. details

  10. Luigi P. Cordella and Claudio De Stefano and Francesco Fontanella and Angelo Marcelli. A Novel Genetic Programming Based Approach for Classification Problems. In Fabio Roli and Sergio Vitulano editors, Proceedings 13th International Conference Image Analysis and Processing - ICIAP 2005, volume 3617, pages 727-734, Cagliari, Italy, 2005. Springer. details

  11. I. De Falco and E. Tarantino and A. Della Cioppa and F. Fontanella. An Innovative Approach to Genetic Programming-based Clustering. In Ajith Abraham and Bernard de Baets and Mario Koeppen and Bertram Nickolay editors, 9th Online World Conference on Soft Computing in Industrial Applications, volume 34, pages 55-64, On the World Wide Web, 2004. Springer-Verlag. details