Genetic Programming Bibliography entries for Alex Alves Freitas

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GP coauthors/coeditors: Jaume Bacardit, Ivan T Tanev, Jorn Mehnen, Thomas Bartz-Beielstein, Lawrence David Davis, Carlos Artemio Coello Coello, Dara Curran, Thomas Jansen, Daniele Loiacono, Albert Orriols-Puig, Ryan J Urbanowicz, Simon Harding, William B Langdon, Man Leung Wong, Garnett Carl Wilson, Tony Lewis, Stephen L Smith, Stefano Cagnoni, Robert M Patton, William Michael Rand, Forrest Stonedahl, Gisele L Pappa, Jerry Swan, John R Woodward, Maria J Blesa, Christian Blum, Steven M Gustafson, Ekaterina (Katya) Vladislavleva, Mark W Hauschild, Martin Pelikan, Ender Ozcan, Andrew J Parkes, Jonathan E Rowe, Pascal Bouvry, Samee U Khan, Gregoire Danoy, Alexandru-Adrian Tantar, Emilia Tantar, Bernabe Dorronsoro, Miguel Nicolau, L Darrell Whitley, Rodrigo C Barros, Marcio Porto Basgalupp, Andre Ponce de Leon F de Carvalho, Celia Cristina Bojarczuk, Heitor Silverio Lopes, Edson L Michalkiewicz, Ricardo Cerri, Sam Cramer, Michael Kampouridis, Antonis K Alexandridis, Alex G C de Sa, David B Ascher, Cristiano Guimaraes Pimenta, Natalio Krasnogor, Pier Luca Lanzi, Andries P Engelbrecht, David A Pelta, Carlos Gershenson, Giovanni Squillero, Marylyn D Ritchie, Mike Preuss, Christian Gagne, Yew-Soon Ong, Gunther R Raidl, Marcus Gallager, Jose A Lozano, Dario Landa-Silva, Nikolaus Hansen, Silja Meyer-Nieberg, James Smith, Gusz Eiben, Ester Bernado-Mansilla, Will N Browne, Lee Spector, Tina Yu, Jeff Clune, Gregory S Hornby, Pierre Collet, Jean-Paul Watson, Moshe Sipper, Simon M Poulding, Gabriela Ochoa, Marc Schoenauer, Carsten Witt, Anne Auger, S Lavington, N Dewhurst, E Wilkins, Roberto R F Mendes, Fabricio de B Voznika, Julio Cesar Nievola, Alberto Moraglio, Fernando Esteban Barril Otero, Colin G Johnson, Simon Thompson, Monique M S Silva, Simon J Thompson, Matthew R Hyde, Wesley Romao, Itana M de S Gimenes, Denise Fukumi Tsunoda,

Genetic Programming Articles by Alex Alves Freitas

  1. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis Alexandridis. Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm and Evolutionary Computation, 2019. details

  2. Sam Cramer and Michael Kampouridis and Alex A. Freitas. Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Applied Soft Computing, 70:208-224, 2018. details

  3. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis K. Alexandridis. An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Systems with Applications, 85:169-181, 2017. details

  4. Gisele L. Pappa and Gabriela Ochoa and Matthew R. Hyde and Alex A. Freitas and John Woodward and Jerry Swan. Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genetic Programming and Evolvable Machines, 15(1):3-35, 2014. 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. Denise Fukumi Tsunoda and Alex Alves Freitas and Heitor Silverio Lopes. A genetic programming method for protein motif discovery and protein classification. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 15(10):1897-1908, 2011. details

  7. Gisele L. Pappa and Alex A. Freitas. Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. Intelligent Data Analysis, 13(2):243-259, 2009. details

  8. Gisele L. Pappa and Alex A. Freitas. Evolving rule induction algorithms with multi-objective grammar-based genetic programming. Knowledge and Information Systems, 19(3):283-309, 2009. details

  9. Wesley Romao and Alex A. Freitas and Itana M. de S. Gimenes. Discovering interesting knowledge from a science \& technology database with a genetic algorithm. Applied Soft Computing, 4:121-137, 2004. details

  10. Celia C. Bojarczuk and Heitor S. Lopes and Alex A. Freitas and Edson L Michalkiewicz. A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artificial Intelligence in Medicine, 30(1):27-48, 2004. details

  11. Alex A. Freitas. Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. Genetic Programming and Evolvable Machines, 2(2):197-199, 2001. details

  12. Celia C. Bojarczuk and Heitor S. Lopes and Alex A. Freitas. Genetic programming for knowledge discovery in chest-pain diagnosis. IEEE Engineering in Medicine and Biology Magazine, 19(4):38-44, 2000. details

  13. S. Lavington and N. Dewhurst and E. Wilkins and A. Freitas. Interfacing knowledge discovery algorithms to large database management systems. Information and Software Technology, 41(9):605-617, 1999. special issue on data mining. details

Genetic Programming Books by Alex Alves Freitas

Genetic Programming Conference proceedings edited by Alex Alves Freitas

Genetic Programming conference papers by Alex Alves Freitas

  1. Alex G. C. de Sa and Gisele L. Pappa and Alex A. Freitas and David B. Ascher. Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction. In Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and John McCall and David Walker editors, Evolutionary Computation and Explainable AI, pages 1944-1952, Malaga, Spain, 2025. Association for Computing Machinery. details

  2. Alex G. C. de Sa and Cristiano G. Pimenta and Gisele L. Pappa and Alex A. Freitas. A Robust Experimental Evaluation of Automated Multi-Label Classification Methods. 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 175-183, internet, 2020. Association for Computing Machinery. details

  3. Alex de Sa and Alex Freitas and Gisele Pappa. Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-based Genetic Programming. In Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors, 15th International Conference on Parallel Problem Solving from Nature, volume 11102, pages 308-320, Coimbra, Portugal, 2018. Springer. details

  4. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis K. Alexandridis. Pricing Rainfall Based Futures Using Genetic Programming. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 17-33, Amsterdam, 2017. Springer. details

  5. Sam Cramer and Michael Kampouridis and Alex Freitas. A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 885-892, Denver, USA, 2016. ACM. details

  6. Sam Cramer and Michael Kampouridis and Alex A. Freitas. Feature Engineering for Improving Financial Derivatives-based Rainfall Prediction. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3483-3490, Vancouver, 2016. IEEE Press. details

  7. Sam Cramer and Michael Kampouridis and Alex A. Freitas and Antonis Alexandridis. Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. In 2015 IEEE Symposium Series on Computational Intelligence, pages 711-718, 2015. details

  8. Alex A. Freitas. Automating the Design of Data Mining Algorithms with Genetic Programming. In German Terrazas and Fernando Esteban Barril Otero and Antonio D. Masegosa editors, VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), volume 512, page ix, Canterbury, United Kingdom, 2013. Springer. Plenary Talk. details

  9. Ricardo Cerri and Rodrigo Barros and Andre Carvalho and Alex Freitas. A Grammatical Evolution Algorithm for Generation of Hierarchical Multi-Label Classification Rules. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 454-461, Cancun, Mexico, 2013. details

  10. Alberto Moraglio and Fernando Otero and Colin Johnson and Simon Thompson and Alex Freitas. Evolving Recursive Programs using Non-recursive Scaffolding. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2242-2249, Brisbane, Australia, 2012. details

  11. 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

  12. Fernando E. B. Otero and Colin G. Johnson and Alex A. Freitas and Simon J. Thompson. Refactoring in Automatically Generated Programs. In Massimiliano Di Penta and Simon Poulding and Lionel Briand and John Clark editors, Proceedings of the 2nd International Symposium on Search Based Software Engineering (SSBSE '10), Benevento, Italy, 2010. Fast abstract. details

  13. Denise F. Tsunoda and Alex A. Freitas and Heitor S. Lopes. MAHATMA: A Genetic Programming-Based Tool for Protein Classification. In Ninth International Conference on Intelligent Systems Design and Applications, ISDA '09, pages 1136-1142, 2009. details

  14. Gisele L. Pappa and Alex Alves Freitas. Automatically Evolving Rule Induction Algorithms. In Johannes F\"urnkranz and Tobias Scheffer and Myra Spiliopoulou editors, Proceedings of the 17th European Conference on Machine Learning, ECML 2006, volume 4212, pages 341-352, Berlin, 2006. Springer. details

  15. Gisele L. Pappa and Alex A. Freitas. Towards a genetic programming algorithm for automatically evolving rule induction algorithms. In Johannes Furnkranz editor, ECML/PKDD 2004 Proceedings of the Workshop W8 on Advances in Inductive Learning, pages 93-108, Pisa, Italy, 2004. details

  16. Fernando E. B. Otero and Monique M. S. Silva and Alex A. Freitas and Julio C. Nievola. Genetic Programming for Attribute Construction in Data Mining. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 384-393, Essex, 2003. Springer-Verlag. details

  17. Celia C. Bojarczuk and Heitor S. Lopes and Alex A. Freitas. An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 11-21, Essex, 2003. Springer-Verlag. details

  18. Fernando E. B. Otero and Monique M. S. Silva and Alex A. Freitas. Genetic Programming for Attribute Construction in Data Mining. In Erick Cant\'u-Paz editor, Late Breaking Papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), pages 370-376, New York, NY, 2002. AAAI. details

  19. Fernando E. B. Otero and Monique M. S. Silvia and Alex A. Freitas. Genetic Programming For Attribute Construction In Data Mining. 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 1270, New York, 2002. Morgan Kaufmann Publishers. details

  20. Roberto R. F. Mendes and Fabricio de B. Voznika and Julio C. Nievola and Alex A. Freitas. Discovering Fuzzy Classification Rules with Genetic Programming and Co-Evolution. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 183, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  21. Roberto R. F. Mendes and Fabricio de B. Voznika and Julio C. Nievola and Alex A. Freitas. Discovering Fuzzy Classification Rules with Genetic Programming and Co-Evolution. In Erik D. Goodman editor, 2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 287-294, San Francisco, California, USA, 2001. details

  22. Celia C. Bojarczuk and Heitor S. Lopes and Alex A. Freitas. Data mining with constrained-syntax genetic programming: applications to medical data sets. In Proceedings Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2001), 2001. a workshop at MedInfo-2001. details

  23. Roberto R. F. Mendes and Fabricio B. Voznika and Alex A. Freitas and Julio C. Nievola. Discovering Fuzzy Classification Rules with Genetic Programming and Co-Evolution. In L. de Raedt and Arno Siebes editors, 5th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'01), volume 2168, pages 314-325, Freiburg, Germany, 2001. Springer Verlag. details

  24. Celia C. Bojarczuk and Heitor S. Lopes and Alex A. Freitas. Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 953-958, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  25. Alex A. Freitas. A Genetic Algorithm for Discovering Knowledge Nuggets. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1998 Conference, page 48, University of Wisconsin, Madison, Wisconsin, USA, 1998. Stanford University Bookstore. details

  26. Alex A. Freitas. A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 96-101, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

Genetic Programming book chapters by Alex Alves Freitas

  1. Alex Alves Freitas and Gisele L. Pappa. Genetic Programming for Automatically Constructing Data Mining Algorithms. In John Wang editor, Encyclopedia of Data Warehousing and Mining, chapter 144, pages 932-936. IGI Global, 2009. details

  2. Gisele L. Pappa and Alex Alves Freitas. Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. In Oded Maimon and Lior Rokach editors, Soft Computing for Knowledge Discovery and Data Mining, pages 133-152. Springer, 2008. details

  3. Alex A. Freitas. A Review of evolutionary Algorithms for Data Mining. In Oded Maimon and Lior Rokach editors, Soft Computing for Knowledge Discovery and Data Mining, pages 79-111. Springer, 2008. details

  4. Alex Alves Freitas. Evolutionary Computation. In W. Klosgen and J. Zytkow editors, Handbook of Data Mining and Knowledge Discovery, chapter 32, pages 698-706. Oxford University Press, 2002. details

  5. Alex Freitas. A review of evolutionary algorithms for e-commerce. In J. Segovia and P. S. Szczepaniak and M. Niedzwiedzinski editors, E-Commerce and Intelligent Methods. Studies in Fuzziness and Soft Computing, volume 105 of Studies in Fuzziness and Soft Computing, chapter 10, pages 159-179. Springer-Verlag, 2002. details

  6. Alex Freitas. A survey of evolutionary algorithms for data mining and knowledge discovery. In A. Ghosh and S. Tsutsui editors, Advances in Evolutionary Computation, chapter 33, pages 819-845. Springer-Verlag, 2002. details