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Pier Luca Lanzi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito
    Employing Inductive Databases in Concrete Applications. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:295-327 [Conf]
  2. Federico Michele Facca, Pier Luca Lanzi
    Recent Developments in Web Usage Mining Research. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2003, pp:140-150 [Conf]
  3. Daniele Braga, Alessandro Campi, Mika Klemettinen, Pier Luca Lanzi
    Mining Association Rules from XML Data. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2002, pp:21-30 [Conf]
  4. Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Mara Tanelli
    System-level metrics for hardware/software architectural mapping. [Citation Graph (0, 0)][DBLP]
    DELTA, 2004, pp:231-236 [Conf]
  5. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Bounding Learning Time in XCS. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:739-750 [Conf]
  6. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:751-762 [Conf]
  7. Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
    Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1457-1464 [Conf]
  8. Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto
    System Level Hardware-Software Design Exploration with XCS. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:763-773 [Conf]
  9. Pier Luca Lanzi
    Estimating Classifier Generalization and Action's Effect: A Minimalist Approach. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1894-1905 [Conf]
  10. Pier Luca Lanzi
    Using Raw Accuracy to Estimate Classifier Fitness in XCS. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1922-1923 [Conf]
  11. Pier Luca Lanzi, Daniele Loiacono
    Standard and averaging reinforcement learning in XCS. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1489-1496 [Conf]
  12. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    Extending XCSF beyond linear approximation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1827-1834 [Conf]
  13. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction in multistep environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1859-1866 [Conf]
  14. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    Classifier prediction based on tile coding. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1497-1504 [Conf]
  15. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1505-1512 [Conf]
  16. Pier Luca Lanzi, Stewart W. Wilson
    Using convex hulls to represent classifier conditions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1481-1488 [Conf]
  17. Daniele Loiacono, Pier Luca Lanzi
    Improving generalization in the XCSF classifier system using linear least-squares. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:374-377 [Conf]
  18. Pier Luca Lanzi
    A Study of the Generalization Capabilities of XCS. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:418-425 [Conf]
  19. Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi
    A Tool for Extracting XML Association Rules. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2002, pp:57-0 [Conf]
  20. Marco Richeldi, Pier Luca Lanzi
    ADHOC: a Tool for Performing Effective Feature Selection. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1996, pp:102-105 [Conf]
  21. Pier Luca Lanzi, Maristella Matera, Andrea Maurino
    A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application Quality. [Citation Graph (0, 0)][DBLP]
    ICWE, 2004, pp:50-54 [Conf]
  22. John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
    What Is a Learning Classifier System? [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:3-32 [Conf]
  23. Tim Kovacs, Pier Luca Lanzi
    A Learning Classifier Systems Bibliography. [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:321-348 [Conf]
  24. Pier Luca Lanzi, Rick L. Riolo
    A Roadmap to the Last Decade of Learning Classifier System Research. [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:33-62 [Conf]
  25. Tim Kovacs, Pier Luca Lanzi
    A Bigger Learning Classifier Systems Bibliography. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:213-252 [Conf]
  26. Marco Richeldi, Pier Luca Lanzi
    Performing Effective Feature Selection by Investigating the Deep Structure of the Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:379-383 [Conf]
  27. Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg
    Knowledge Extraction and Problem Structure Identification in XCS. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1051-1060 [Conf]
  28. Tiziana Gravagnoli, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto
    Automatic Test Pattern Generation with BOA. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:423-432 [Conf]
  29. Pier Luca Lanzi
    Generalization in Wilson's Classifier System. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:501-510 [Conf]
  30. Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi
    Discovering Interesting Information in XML Data with Association Rules. [Citation Graph (0, 0)][DBLP]
    SAC, 2003, pp:450-454 [Conf]
  31. Giuseppe Psaila, Pier Luca Lanzi
    Hierarchy-based Mining of Association Rules in Data Warehouses. [Citation Graph (0, 0)][DBLP]
    SAC (1), 2000, pp:307-312 [Conf]
  32. Pier Luca Lanzi, Giuseppe Psaila
    A Relational Database Mining Framework with Classification and Discretization. [Citation Graph (0, 0)][DBLP]
    SEBD, 1999, pp:101-115 [Conf]
  33. Giuseppe Psaila, Pier Luca Lanzi
    Hierarchy exploitation in data warehouses for mining association rules. [Citation Graph (0, 0)][DBLP]
    SEBD, 2000, pp:243-256 [Conf]
  34. Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea Maurino
    Exploiting conceptual modeling for web application quality evaluation. [Citation Graph (0, 0)][DBLP]
    WWW (Alternate Track Papers & Posters), 2004, pp:342-343 [Conf]
  35. Federico Michele Facca, Pier Luca Lanzi
    Mining interesting knowledge from weblogs: a survey. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2005, v:53, n:3, pp:225-241 [Journal]
  36. Pier Luca Lanzi
    An Analysis of Generalization in the XCS Classifier System. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:2, pp:125-149 [Journal]
  37. Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
    Editorial Introduction - Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:3, pp:- [Journal]
  38. Pier Luca Lanzi, Stewart W. Wilson
    Toward Optimal Classifier System Performance in Non-Markov Environments. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2000, v:8, n:4, pp:393-418 [Journal]
  39. Pietro Di Gianantonio, Pier Luca Lanzi
    Lazy Algorithms for Exact Real Arithmetic. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2004, v:104, n:, pp:113-128 [Journal]
  40. John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
    Learning classifier systems: New models, successful applications. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2002, v:82, n:1, pp:23-30 [Journal]
  41. Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice
    Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAs. [Citation Graph (0, 0)][DBLP]
    Journal of Systems Architecture, 2006, v:52, n:8-9, pp:516-533 [Journal]
  42. Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea Maurino
    Model-Driven Web Usage Analysis for the Evaluation of Web Application Quality. [Citation Graph (0, 0)][DBLP]
    J. Web Eng., 2004, v:3, n:2, pp:124-152 [Journal]
  43. Larry Bull, Pier Luca Lanzi, Wolfgang Stolzmann
    Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:143- [Journal]
  44. Pier Luca Lanzi
    Learning classifier systems from a reinforcement learning perspective. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:162-170 [Journal]
  45. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:5, pp:452-473 [Journal]
  46. Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson
    Toward a theory of generalization and learning in XCS. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:1, pp:28-46 [Journal]
  47. Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
    Support vector regression for classifier prediction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1806-1813 [Conf]
  48. Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla
    Modeling selection pressure in XCS for proportionate and tournament selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1846-1853 [Conf]
  49. Pier Luca Lanzi, Daniele Loiacono
    Classifier systems that compute action mappings. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1822-1829 [Conf]
  50. Pier Luca Lanzi, Stefano Rocca, Stefania Solari
    An approach to analyze the evolution of symbolic conditions in learning classifier systems. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2795-2800 [Conf]
  51. Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
    Empirical analysis of generalization and learning in XCS with gradient descent. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1814-1821 [Conf]
  52. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Effect of Pure Error-Based Fitness in XCS. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:104-114 [Conf]
  53. Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
    Integrating Web Conceptual Modeling and Web Usage Mining. [Citation Graph (0, 0)][DBLP]
    WebKDD, 2004, pp:135-148 [Conf]
  54. Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Palermo, Christian Pilato, Donatella Sciuto, Antonino Tumeo
    An Evolutionary Approach to Area-Time Optimization of FPGA designs. [Citation Graph (0, 0)][DBLP]
    ICSAMOS, 2007, pp:145-152 [Conf]
  55. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction in continuous multistep environments. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2032-2039 [Conf]
  56. Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice
    Toward an FPGA implementation of XCS. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2053-2060 [Conf]
  57. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction for the learning of Boolean functions. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:588-595 [Conf]
  58. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry
    Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2007, v:8, n:1, pp:5-37 [Journal]
  59. Stefano Ceri, Francesco Di Giunta, Pier Luca Lanzi
    Mining constraint violations. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2007, v:32, n:1, pp:6- [Journal]

  60. Data Mining Techniques for the Identification of Genes with Expression Levels Related to Breast Cancer Prognosis. [Citation Graph (, )][DBLP]


  61. Mapping pipelined applications onto heterogeneous embedded systems: a bayesian optimization algorithm based approach. [Citation Graph (, )][DBLP]


  62. An analysis of matching in learning classifier systems. [Citation Graph (, )][DBLP]


  63. Self-adaptive mutation in XCSF. [Citation Graph (, )][DBLP]


  64. Self-adaptive constructivism in Neural XCS and XCSF. [Citation Graph (, )][DBLP]


  65. Recursive least squares and quadratic prediction in continuous multistep problems. [Citation Graph (, )][DBLP]


  66. Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. [Citation Graph (, )][DBLP]


  67. Evolving competitive car controllers for racing games with neuroevolution. [Citation Graph (, )][DBLP]


  68. Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. [Citation Graph (, )][DBLP]


  69. TestFul: using a hybrid evolutionary algorithm for testing stateful systems. [Citation Graph (, )][DBLP]


  70. Learning classifier systems. [Citation Graph (, )][DBLP]


  71. Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. [Citation Graph (, )][DBLP]


  72. A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. [Citation Graph (, )][DBLP]


  73. Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. [Citation Graph (, )][DBLP]


  74. Analysis and Improvements of the Classifier Error Estimate in XCSF. [Citation Graph (, )][DBLP]


  75. Evolving Classifiers Ensembles with Heterogeneous Predictors. [Citation Graph (, )][DBLP]


  76. Ant colony optimization for mapping and scheduling in heterogeneous multiprocessor systems. [Citation Graph (, )][DBLP]


  77. Automatic analysis of eye tracking data for medical diagnosis. [Citation Graph (, )][DBLP]


  78. Fitness inheritance in evolutionary and multi-objective high-level synthesis. [Citation Graph (, )][DBLP]


  79. Support vector machines for computing action mappings in learning classifier systems. [Citation Graph (, )][DBLP]


  80. An analysis of generalization in XCS with symbolic conditions. [Citation Graph (, )][DBLP]


  81. A Simple Real-Coded Extended Compact Genetic Algorithm. [Citation Graph (, )][DBLP]


  82. Anticipation mappings for learning classifier systems. [Citation Graph (, )][DBLP]


  83. High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. [Citation Graph (, )][DBLP]


  84. Evolving classifier ensembles with voting predictors. [Citation Graph (, )][DBLP]


  85. Computed prediction in binary multistep problems. [Citation Graph (, )][DBLP]


  86. On-line neuroevolution applied to The Open Racing Car Simulator. [Citation Graph (, )][DBLP]


  87. TestFul: An Evolutionary Test Approach for Java. [Citation Graph (, )][DBLP]


  88. Tile Coding Based on Hyperplane Tiles. [Citation Graph (, )][DBLP]


  89. Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. [Citation Graph (, )][DBLP]


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