Genetic Programming Bibliography entries for Marcio Porto Basgalupp

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GP coauthors/coeditors: Rodrigo C Barros, Andre Ponce de Leon F de Carvalho, Alex Alves Freitas, Ricardo Cerri, Tiago S da Silva, Duncan Dubugras Ruiz, Tiago Barabasz, Patricia Miquilini, Vinicius Veloso de Melo, Thiago Miranda, Diorge Sardinha, Leo Francoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Tobias Kalkreuth, Franz Rothlauf, Arua De M Sousa, Ana Carolina Lorena,

Genetic Programming Articles by Marcio Porto Basgalupp

  1. Leo Francoso Dal Piccol Sotto and Franz Rothlauf and Vinicius Veloso de Melo and Marcio P. Basgalupp. An Analysis of the Influence of Non-effective Instructions in Linear Genetic Programming. Evolutionary Computation, 30(1):51-74, 2022. details

  2. Leo Francoso Dal Piccol Sotto and Paul Kaufmann and Timothy Atkinson and Roman Kalkreuth and Marcio Porto Basgalupp. Graph representations in genetic programming. Genetic Programming and Evolvable Machines, 22(4):607-636, 2021. Special Issue: Highlights of Genetic Programming 2020 Events. details

  3. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo and Marcio Porto Basgalupp. $\lambda$-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem. Knowledge and Information Systems, 52(2):445-465, 2017. details

  4. Rodrigo C. Barros and Marcio P. Basgalupp and Andre C. P. L. F. de Carvalho. Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genetic Programming and Evolvable Machines, 16(3):241-281, 2015. details

  5. Rodrigo C. Barros and Marcio P. Basgalupp and Alex A. Freitas and Andre C. P. L. F. de Carvalho. Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Transactions on Evolutionary Computation, 18(6):873-892, 2014. details

  6. Rodrigo C. Barros and Duncan D. Ruiz and Marcio P. Basgalupp. Evolutionary model trees for handling continuous classes in machine learning. Information Sciences, 181(5):954-971, 2011. details

Genetic Programming conference papers by Marcio Porto Basgalupp

  1. Thiago Miranda and Diorge Sardinha and Marcio Basgalupp and Ricardo Cerri. A New Grammatical Evolution Method for Generating Deep Convolutional Neural Networks with Novel Topologies. 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, pages 663-666, Boston, USA, 2022. Association for Computing Machinery. details

  2. Leo Francoso D. P. Sotto and Paul Kaufmann and Timothy Atkinson and Roman Kalkreuth and Marcio Porto Basgalupp. A Study on Graph Representations for Genetic Programming. 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 931-939, internet, 2020. Association for Computing Machinery. details

  3. Arua De M. Sousa and Ana Carolina Lorena and Marcio P. Basgalupp. GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions. In 2017 IEEE Trustcom/BigDataSE/ICESS, pages 941-948, Sydney, Australia, 2017. IEEE. details

  4. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo and Marcio P. Basgalupp. An improved $\lambda$-linear genetic programming evaluated in solving the Santa Fe ant trail problem. In Sascha Ossowski editor, Proceedings of the 31st Annual ACM Symposium on Applied Computing, pages 103-108, Pisa, Italy, 2016. ACM. details

  5. Patricia Miquilini and Rodrigo C. Barros and Vinicius V de Melo and Marcio P. Basgalupp. Enhancing Discrimination Power with Genetic Feature Construction: A Grammatical Evolution Approach. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3824-3831, Vancouver, 2016. IEEE Press. details

  6. Marcio Porto Basgalupp and Rodrigo Coelho Barros and Tiago Barabasz. A grammatical evolution based hyper-heuristic for the automatic design of split criteria. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 1311-1318, Vancouver, BC, Canada, 2014. ACM. details

  7. Rodrigo C. Barros and Marcio P. Basgalupp and Ricardo Cerri and Tiago S. da Silva and Andre C. P. L. F. de Carvalho. A grammatical evolution approach for software effort estimation. In Christian Blum and Enrique Alba and Anne Auger and Jaume Bacardit and Josh Bongard and Juergen Branke and Nicolas Bredeche and Dimo Brockhoff and Francisco Chicano and Alan Dorin and Rene Doursat and Aniko Ekart and Tobias Friedrich and Mario Giacobini and Mark Harman and Hitoshi Iba and Christian Igel and Thomas Jansen and Tim Kovacs and Taras Kowaliw and Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and John McCall and Alberto Moraglio and Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and Gustavo Olague and Yew-Soon Ong and Michael E. Palmer and Gisele Lobo Pappa and Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and Daniel Tauritz and Leonardo Vanneschi editors, GECCO '13: Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, pages 1413-1420, Amsterdam, The Netherlands, 2013. ACM. details

  8. Rodrigo C. Barros and Marcio P. Basgalupp and Andre C. P. L. F. de Carvalho and Alex A. Freitas. Towards the automatic design of decision tree induction algorithms. In Gisele L. Pappa and Alex A. Freitas and Jerry Swan and John Woodward editors, GECCO 2011 1st workshop on evolutionary computation for designing generic algorithms, pages 567-574, Dublin, Ireland, 2011. ACM. details