Genetic Programming Bibliography entries for Mario Giacobini

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GP coauthors/coeditors: Francesca Abbona, Leonardo Vanneschi, Marco Bona, Irene Azzali, Sara Silva, Illya Bakurov, Andrea Mosca, Luigi Bertolotti, Marco Ivaldi, Nicole Dalia Cilia, Claudio De Stefano, Francesco R Fontanella, Christian Blum, Enrique Alba, Anne Auger, Jaume Bacardit, Josh C Bongard, Jurgen Branke, Nicolas Bredeche, Dimo Brockhoff, Francisco Chicano, Alan Dorin, Rene Doursat, Aniko Ekart, Tobias Friedrich, Mark Harman, Hitoshi Iba, Christian Igel, Thomas Jansen, Tim Kovacs, Taras Kowaliw, Manuel Lopez-Ibanez, Jose A Lozano, Gabriel Luque, John A W McCall, Alberto Moraglio, Alison A Motsinger, Frank Neumann, Gabriela Ochoa, Gustavo Olague, Yew-Soon Ong, Michael E Palmer, Gisele L Pappa, Konstantinos E Parsopoulos, Thomas Schmickl, Stephen L Smith, Christine Solnon, Thomas Stuetzle, El-Ghazali Talbi, Daniel R Tauritz, Christian Darabos, Ting Hu, Jason H Moore, Antonella Farinaccio, Giancarlo Mauri, Paolo Provero, Riccardo Gervasi, Donal Bisanzio, Marco Tomassini, Leslie Luthi, William B Langdon, Karina Brotto Rebuli, Niccolo Tallone, James A Foster, Miguel Nicolau, Penousal Machado, Anna Esparcia-Alcazar, Sanaz Mostaghim, Jon Timmis, Christine Zarges, Luis Correia, Terence Soule, Ryan J Urbanowicz, Youhei Akimoto, Tobias Glasmachers, Francisco Fernandez de Vega, Amy Hoover, Pedro Larranaga, Marta Soto, Carlos Cotta, Francisco Jose Baptista Pereira, Julia Handl, Jan Koutnik, Antonio Gaspar-Cunha, Heike Trautmann, Jean-Baptiste Mouret, Sebastian Risi, Ernesto Costa, Oliver Schuetze, Krzysztof Krawiec, Julian F Miller, Pawel Widera, Stefano Cagnoni, Juan Julian Merelo, Emma Hart, Leonardo Trujillo, Marouane Kessentini, Carola Doerr, Moshe Sipper, Adane Nega Tarekegn, Fulvio Ricceri, Giuseppe Costa, Elisa Ferracin, Marco Antoniotti, Mauro Antoniotti,

Genetic Programming Articles by Mario Giacobini

  1. Francesca Abbona and Leonardo Vanneschi and Mario Giacobini. Towards a Vectorial Approach to Predict Beef Farm Performance. Applied Sciences, 12(3) 2022. details

  2. Irene Azzali and Leonardo Vanneschi and Andrea Mosca and Luigi Bertolotti and Mario Giacobini. Towards the use of genetic programming in the ecological modelling of mosquito population dynamics. Genetic Programming and Evolvable Machines, 21(4):629-642, 2020. details

  3. Irene Azzali and Leonardo Vanneschi and Illya Bakurov and Sara Silva and Marco Ivaldi and Mario Giacobini. Towards the use of vector based GP to predict physiological time series. Applied Soft Computing, 89:106097, 2020. details

  4. Francesca Abbona and Leonardo Vanneschi and Marco Bona and Mario Giacobini. Towards modelling beef cattle management with Genetic Programming. Livestock Science, 241:104205, 2020. details

  5. Leonardo Vanneschi and Antonella Farinaccio and Giancarlo Mauri and Mauro Antoniotti and Paolo Provero and Mario Giacobini. A comparison of machine learning techniques for survival prediction in breast cancer. BioData Mining, 4(12) 2011. details

  6. Moshe Sipper and Mario Giacobini. Introduction to Special Section on Evolutionary Computation in Games. Genetic Programming and Evolvable Machines, 9(4):279-280, 2008. details

  7. Marco Tomassini and L. Luthi and M. Giacobini and W. B. Langdon. The Structure of the Genetic Programming Collaboration Network. Genetic Programming and Evolvable Machines, 8(1):97-103, 2007. details

Genetic Programming Conference proceedings edited by Mario Giacobini

Genetic Programming conference papers by Mario Giacobini

  1. Karina Brotto Rebuli and Mario Giacobini and Niccolo Tallone and Leonardo Vanneschi. A preliminary study of Prediction Interval Methods with Genetic Programming. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric “Siggy” Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, Boston, USA, 2022. Association for Computing Machinery. details

  2. 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

  3. Adane Tarekegn and Fulvio Ricceri and Giuseppe Costa and Elisa Ferracin and Mario Giacobini. Detection of Frailty using Genetic Programming : The Case of Older People in Piedmont, Italy. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 228-243, Seville, Spain, 2020. Springer Verlag. details

  4. Irene Azzali and Leonardo Vanneschi and Mario Giacobini. Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 52-67, Seville, Spain, 2020. Springer Verlag. details

  5. Francesca Abbona and Leonardo Vanneschi and Marco Bona and Mario Giacobini. A GP Approach for Precision Farming. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24248, internet, 2020. IEEE Press. details

  6. Riccardo Gervasi and Irene Azzali and Donal Bisanzio and Mario Giacobini and Andrea Mosca and Luigi Bertolotti. A Genetic Programming Approach to Predict Mosquitoes Abundance. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 35-48, Leipzig, Germany, 2019. Springer Verlag. details

  7. Irene Azzali and Leonardo Vanneschi and Sara Silva and Illya Bakurov and Mario Giacobini. A Vectorial Approach to Genetic Programming. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 213-227, Leipzig, Germany, 2019. Springer Verlag. details

  8. Christian Darabos and Mario Giacobini and Ting Hu and Jason H. Moore. Levy-Flight Genetic Programming: Towards a New Mutation Paradigm. In Mario Giacobini and Leonardo Vanneschi and William S. Bush editors, 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, volume 7246, pages 38-49, Malaga, Spain, 2012. Springer Verlag. details

  9. Leonardo Vanneschi and Antonella Farinaccio and Mario Giacobini and Marco Antoniotti and Giancarlo Mauri and Paolo Provero. Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques. In Clara Pizzuti and Marylyn D. Ritchie and Mario Giacobini editors, 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010, volume 6023, pages 110-121, Istanbul, 2010. Springer. details

  10. Antonella Farinaccio and Leonardo Vanneschi and Mario Giacobini and Giancarlo Mauri and Paolo Provero. On the use of genetic programming for the prediction of survival in cancer. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 163-170, Portland, Oregon, USA, 2010. ACM. details

  11. Leslie Luthi and Marco Tomassini and Mario Giacobini and William B. Langdon. The Genetic Programming Collaboration Network and its Communities. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1643-1650, London, 2007. ACM Press. details

  12. Mario Giacobini and Marco Tomassini and Leonardo Vanneschi. Limiting the Number of Fitness Cases in Genetic Programming Using Statistics. In Juan J. Merelo-Guervos and Panagiotis Adamidis and Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VII, pages 371-380, Granada, Spain, 2002. Springer-Verlag. details

  13. Mario Giacobini and Marco Tomassini and Leonardo Vanneschi. How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page 889, New York, 2002. Morgan Kaufmann Publishers. details

Genetic Programming book chapters by Mario Giacobini