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Discovery of Classification Rules by Using Gene Expression Programming

, , , and . Proceedings of the International Conference on Artificial Intelligence (IC-AI'02), page 1355--1361. Las Vegas, U.S.A., (June 2002)

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Using Gene Expression Programming to Construct Sentence Ranking Functions for Text Summarization, , , , , and . Proceedings of the 20th International Conference on Computational Linguistics, COLING-2004, page 1381--1384. Geneva, Switzerland, (23-27 August 2004)Nature-Inspired cooperative strategies, , , and . chapter Dynamic Adaptation of Genetic Operators' Probabilities, Springer, (2007)In Press..Attribute Constrained Rules for Partially Labeled Sequence Completion., , and . ICDM, volume 5633 of Lecture Notes in Computer Science, page 338-352. Springer, (2009)The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insights., , and . GECCO, page 769-776. ACM, (2017)Optimizing genetic operator rates using a markov chain model of genetic algorithms., , and . GECCO, page 721-728. ACM, (2010)Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., 27 (7): 1007-1018 (2020)Improving the Efficiency of Depth-First Search by Cycle Elimination., and . Inf. Process. Lett., 45 (1): 5-10 (1993)On the limitations of automated restriction mapping., and . Comput. Appl. Biosci., 10 (3): 249-261 (1994)Adaptive Learning in Machine Summarization., , and . FLAIRS, page 180-181. AAAI Press, (2006)Self-Adaptation of Genetic Operator Probabilities Using Differential Evolution., and . SASO, page 274-275. IEEE Computer Society, (2009)