Toward a theory of generalization and learning in XCS von Butz, M.V., Kovacs, T., Lanzi, P.L., Wilson, S.W.

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Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems von Butz, M.V., Goldberg, D.E., Lanzi, P.L.

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Toward Optimal Classifier System Performance in Non-Markov Environments von Lanzi, Pier Luca, Wilson, Stewart W.

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Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction von Butz, M.V., Lanzi, P.L., Wilson, S.W.

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Facetwise Analysis of XCS for Problems With Class Imbalances von Orriols-Puig, A., Bernado-Mansilla, E., Goldberg, D.E., Sastry, K., Lanzi, P.L.

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Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture von Cardamone, Luigi, Lanzi, Pier Luca, Loiacono, Daniele, Onieva, Enrique

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Learning classifier systems from a reinforcement learning perspective von Lanzi, P. L.

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Mining interesting knowledge from weblogs: a survey von Facca, Federico Michele, Lanzi, Pier Luca

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Automatic Track Generation for High-End Racing Games Using Evolutionary Computation von Loiacono, D., Cardamone, L., Lanzi, P. L.

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Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution von Cardamone, L, Loiacono, D, Lanzi, P L

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Computational Intelligence and Game Design for Effective At-Home Stroke Rehabilitation von Borghese, Nunzio Alberto, Pirovano, Michele, Lanzi, Pier Luca, Wüest, Seline, de Bruin, Eling D

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Generalization in Wilson's classifier system von Lanzi, Pier Luca

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A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems von Bolchini, C, Lanzi, P L, Miele, A

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Improving evolutionary testing by means of efficiency enhancement techniques von Miraz, M, Lanzi, P L, Baresi, L

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Self-adaptive games for rehabilitation at home von Pirovano, M., Mainetti, R., Baud-Bovy, G., Lanzi, P. L., Borghese, N. A.

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Learning classifier systems: New models, successful applications von Holmes, John H., Lanzi, Pier Luca, Stolzmann, Wolfgang, Wilson, Stewart W.

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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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Estimating Classifier Generalization and Action’s Effect: A Minimalist Approach von Lanzi, Pier Luca

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Using Raw Accuracy to Estimate Classifier Fitness in XCS von Lanzi, Pier Luca

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An integrated low-cost system for at-home rehabilitation von Borghese, N. A., Pirovano, M., Mainetti, R., Lanzi, P. L.

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