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Number of items: 19.

Article

Tsunoda, D.F. and Freitas, A.A. and Lopes, H.S. (2011) A genetic programming method for protein motif discovery and protein classification. Soft Computing, 15 (10). pp. 182-196. ISSN 1432-7643. The full text of this publication is not available from this repository.

Bojarczuk, C.C. and Lopes, H.S. and Freitas, A.A. and Michalkiewicz, E.L. (2004) A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artificial Intelligence in Medicine, 30 (1). pp. 27-48. ISSN 0933-3657. The full text of this publication is not available from this repository.

Bojarczuk, C.C. and Lopes, H.S. and Freitas, A.A. (2000) Genetic programming for knowledge discovery in chest pain diagnosis. IEEE Engineering in Medicine and Biology Magazine, 19 (4). pp. 38-44. ISSN 0739-5175.

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Book section

Parpinelli, R.S. and Lopes, H.S. and Freitas, A.A. (2005) Classification-Rule Discovery with an Ant Colony Algorithm. In: Khosrow-Pour, M., ed. Encyclopedia of Information Science and Technology. Idea Group, Hershey, pp. 420-424. ISBN 1-59140-553-X. The full text of this publication is not available from this repository.

Conference or workshop item

Tsunoda, D.F. and Freitas, A.A. and Lopes, H.S. (2009) A Genetic Programming-Based Tool for Protein Classification. In: Proc. 9th Int. Conf. on Intelligent System Design and Applications (ISDAÂ�09). The full text of this publication is not available from this repository.

Tsunoda, D.F. and Lopes, H.S. and Freitas, A.A. (2009) A hybrid evolutionary approach for the protein classification problem. In: Proc. 1st Int. Conf. on Collective Intelligence ( ICCI 2009). The full text of this publication is not available from this repository.

Tsunoda, D.F. and Lopes, H.S. and Freitas, A.A. (2005) An evolutionary approach for motif discovery and transmembrane protein classification. In: Applications of Evolutionary Computing (Proc. of EvoBIO-2005: 3rd European Workshop on Evolutionary Bioinformatics), LNCS 3449. The full text of this publication is not available from this repository.

Alves, R.T. and Delgado, M.R. and Lopes, H.S. and Freitas, A.A. (2004) Induction of fuzzy classification rules with an artificial immune system. In: Proc. 8th Brazilian Symp. on Neural Networks. The full text of this publication is not available from this repository.

Alves, R.T. and Delgado, M.R. and Lopes, H.S. and Freitas, A.A. (2004) An artificial immune system for fuzzy-rule induction in data mining. In: Yao, Xin, ed. Parallel Problem Solving from Nature - PPSN VIII. Lecture Notes in Computer Science, 3242. Springer-Verlag pp. 1011-1020. ISBN 3540230920.

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Bojarczuk, C.C. and Lopes, H.S. and Freitas, A.A. (2003) An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients. In: Ryan, C. and Keijzer, M. and Poli, R. and Soule, T. and Tsang, E. and Costa, E., eds. Lecture Notes In Computer Science. Lecture Notes in Computer Science, 2610. Springer-Verlag pp. 11-21. ISBN 3-540-00971-X. The full text of this publication is not available from this repository.

Bojarczuk, C.C. and Lopes, H.S. and Freitas, A.A. (2001) Data Mining with Constrained-syntax Genetic Programming: Applications in Medical Data Sets. In: Proc Intelligent Data Analysis in Medicine and Pharmacology - a workshop at MedInfo-2001, 4th September 2001, Workshop held at MedInfo-2001, London. The full text of this publication is not available from this repository.

Parpinelli, R.S. and Lopes, H.S. and Freitas, A.A. (2001) An ant colony based system for data mining: applications to medical data. In: Proc. 2001 Genetic and Evolutionary Computation Conference (GECCO-2001). The full text of this publication is not available from this repository.

Noda, E. and Freitas, A.A. and Lopes, H.S. (2000) Comparing a genetic algorithm with a rule induction algorithm in the data mining task of dependence modeling. In: Proc 2000 Genetic and Evolutionary Computation Conf (GECCO-2000). The full text of this publication is not available from this repository.

Fidelis, M.V. and Lopes, H.S. and Freitas, A.A. (2000) Discovering comprehensible classification rules with a genetic algorithm. In: Evolutionary Computation, 2000. Proceedings of the 2000 Congress on. IEEE, La Jolla, CA, USA pp. 805-810. ISBN 0-7803-6375-2.

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Araujo, D.L.A. and Lopes, H.S. and Freitas, A.A. (2000) Rule Discovery with a Parallel Genetic Algorithm. In: Proc 2000 Genetic and Evolutionary Computation Conf Workshop Program, July 2000, Las Vegas, USA, .

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Araujo, D.L.A. and Lopes, H.S. and Freitas, A.A. (1999) A Parallel Genetic Algorithm for Rule Discovery in Large Databases. In: Proc 1000 IEEE Systems, Man and Cybernetics Conf (IEEE SMC '99), 12-15 Oct. 1999, Tokyo, Japan. The full text of this publication is not available from this repository.

Noda, E. and Freitas, A.A. and Lopes, H.S. (1999) Discovering Interesting Prediction Rules with a Genetic Algorithm. In: Proceedinds of the 1999 Congress on Evolutionary Computation (CEC-99), July 6-9 1999, Washington, DC, USA. The full text of this publication is not available from this repository.

Bojarczuk, C.C. and Lopes, H.S. and Freitas, A.A. (1999) Discovering comprehensible classification rules using genetic programming: a case study in a medical domain. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99) at the 8th International Conference on Genetic Algorithms/4th Annual Genetic Programming Conference, Jul 13-17, 1999, Orlando, USA. The full text of this publication is not available from this repository.

Santos, R.T. and Nievola, J.C. and Freitas, A.A. and Lopes, H.S. (1999) Extracao de regras de redes neurais via algoritmos geneticos. In: Proceedings of the IV Brazilian Conference on Neural Networks, Sao Jose dos Camps, SP, Brazil. The full text of this publication is not available from this repository.

This list was generated on Fri May 24 05:59:49 2013 BST.