Large-scale data mining using genetics-based machine learning von Bacardit, Jaume, Llorà, Xavier

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Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis von Moreno-Torres, Jose G., Llorà, Xavier, Goldberg, David E., Bhargava, Rohit

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Efficient and reliable perceptual weight tuning for unit-selection text-to-speech synthesis based on active interactive genetic algorithms: A proof-of-concept von Alías, Francesc, Formiga, Lluís, Llorá, Xavier

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Resource management and scalability of the XCSF learning classifier system von Stalph, Patrick O., Llorà, Xavier, Goldberg, David E., Butz, Martin V.

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Automated Global Structure Extraction for Effective Local Building Block Processing in XCS von Butz, Martin V., Pelikan, Martin, Llorà, Xavier, Goldberg, David E.

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Toward routine billion-variable optimization using genetic algorithms von Goldberg, David E., Sastry, Kumara, Llorà, Xavier

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Observer-invariant histopathology using genetics-based machine learning von Llorà, Xavier, Priya, Anusha, Bhargava, Rohit

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Learning Classifier Systems: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007 : Revised... von Carbonell, Jaime G, Siekmann, Jörg, Bacardit, Jaume, Kovacs, Tim, Llora, Xavier, Takadama, Keiki

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Evolutionary computation and multimodal search: a good combination to tackle molecular diversity in the field of peptide design von Belda, Ignasi, Madurga, Sergio, Tarragó, Teresa, Llorà, Xavier, Giralt, Ernest

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Design of enhanced agonists through the use of a new virtual screening method: Application to peptides that bind class I major histocompatibility complex (MHC) molecules von Madurga, Sergio, Belda, Ignasi, Llorà, Xavier, Giralt, Ernest

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Communication Gap Management for Fertile Community von Matsumura, Naohiro, Goldberg, David E., Llorà, Xavier

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Evolutionary process indicators for active IGAs applied to weight tuning in unit selection TTS synthesis von Formiga, Lluís, Alías, Francesc, Llorà, Xavier

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XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining von Bernadó, Ester, Llorà, Xavier, Garrell, Josep M.

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Optimally designed nanolayered metal-dielectric particles as probes for massively multiplexed and ultrasensitive molecular assays von Kodali, Anil K., Llora, Xavier, Bhargava, Rohit, Hess, Karl

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Robust Machine Learning Applied to Astronomical Data Sets. II. Quantifying Photometric Redshifts for Quasars Using Instance-based Learning von Ball, Nicholas M, Brunner, Robert J, Myers, Adam D, Strand, Natalie E, Alberts, Stacey L, Tcheng, David, Llorà, Xavier

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Knowledge Extraction and Problem Structure Identification in XCS von Butz, Martin V., Lanzi, Pier Luca, Llorà, Xavier, Goldberg, David E.

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Learning Classifier Systems: International Workshops, IWLCS 2003-2005 : Revised Selected Papers von Carbonell, Jaime G, Siekmann, Jörg, Kovacs, Tim, Lanzi, P.L, Stolzmann, Wolfgang, Wilson, Stewart W

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Guest Editorial: Thematic Issue on ‘Metaheuristics for large scale data mining’ von Bacardit, Jaume, Llorà, Xavier

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Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy von Bacardit, Jaume, Goldberg, David E., Butz, Martin V., Llorà, Xavier, Garrell, Josep M.

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Invariability of central metabolic flux distribution in Shewanella oneidensis MR-1 under environmental or genetic perturbations von Tang, Yinjie J., Martin, Hector Garcia, Deutschbauer, Adam, Feng, Xueyang, Huang, Rick, Llora, Xavier, Arkin, Adam, Keasling, Jay D.

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