| 2007 |
| 71 | | Tim Kovacs,
Xavier Llorà,
Keiki Takadama,
Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers
Springer 2007 |
| 70 | EE | Daniele Loiacono,
Andrea Marelli,
Pier Luca Lanzi:
Support vector regression for classifier prediction.
GECCO 2007: 1806-1813 |
| 69 | EE | Pier Luca Lanzi,
Martin V. Butz,
David E. Goldberg:
Empirical analysis of generalization and learning in XCS with gradient descent.
GECCO 2007: 1814-1821 |
| 68 | EE | Pier Luca Lanzi,
Daniele Loiacono:
Classifier systems that compute action mappings.
GECCO 2007: 1822-1829 |
| 67 | EE | Albert Orriols-Puig,
Kumara Sastry,
Pier Luca Lanzi,
David E. Goldberg,
Ester Bernadó-Mansilla:
Modeling selection pressure in XCS for proportionate and tournament selection.
GECCO 2007: 1846-1853 |
| 66 | EE | Pier Luca Lanzi,
Stefano Rocca,
Stefania Solari:
An approach to analyze the evolution of symbolic conditions in learning classifier systems.
GECCO (Companion) 2007: 2795-2800 |
| 65 | EE | Fabrizio Ferrandi,
Pier Luca Lanzi,
Gianluca Palermo,
Christian Pilato,
Donatella Sciuto,
Antonino Tumeo:
An Evolutionary Approach to Area-Time Optimization of FPGA designs.
ICSAMOS 2007: 145-152 |
| 64 | EE | Stefano Ceri,
Francesco Di Giunta,
Pier Luca Lanzi:
Mining constraint violations.
ACM Trans. Database Syst. 32(1): 6 (2007) |
| 63 | EE | 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.
Genetic Programming and Evolvable Machines 8(1): 5-37 (2007) |
| 62 | EE | Stefano Ceri,
Cristiana Bolchini,
Daniele Braga,
Marco Brambilla,
Alessandro Campi,
Sara Comai,
Piero Fraternali,
Pier Luca Lanzi,
Marco Masseroli,
Maristella Matera,
Mauro Negri,
Giuseppe Pelagatti,
Giuseppe Pozzi,
Elisa Quintarelli,
Fabio A. Schreiber,
Letizia Tanca:
Data and web management research at Politecnico di Milano.
SIGMOD Record 36(4): 43-48 (2007) |
| 2006 |
| 61 | EE | Martin V. Butz,
Pier Luca Lanzi,
Stewart W. Wilson:
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.
GECCO 2006: 1457-1464 |
| 60 | EE | Pier Luca Lanzi,
Stewart W. Wilson:
Using convex hulls to represent classifier conditions.
GECCO 2006: 1481-1488 |
| 59 | EE | Pier Luca Lanzi,
Daniele Loiacono:
Standard and averaging reinforcement learning in XCS.
GECCO 2006: 1489-1496 |
| 58 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Classifier prediction based on tile coding.
GECCO 2006: 1497-1504 |
| 57 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation.
GECCO 2006: 1505-1512 |
| 56 | EE | Tiziana Gravagnoli,
Fabrizio Ferrandi,
Pier Luca Lanzi,
Donatella Sciuto:
Automatic Test Pattern Generation with BOA.
PPSN 2006: 423-432 |
| 55 | EE | Cristiana Bolchini,
Paolo Ferrandi,
Pier Luca Lanzi,
Fabio Salice:
Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAs.
Journal of Systems Architecture 52(8-9): 516-533 (2006) |
| 2005 |
| 54 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
XCS with computed prediction in continuous multistep environments.
Congress on Evolutionary Computation 2005: 2032-2039 |
| 53 | EE | Cristiana Bolchini,
Paolo Ferrandi,
Pier Luca Lanzi,
Fabio Salice:
Toward an FPGA implementation of XCS.
Congress on Evolutionary Computation 2005: 2053-2060 |
| 52 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
XCS with computed prediction for the learning of Boolean functions.
Congress on Evolutionary Computation 2005: 588-595 |
| 51 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Extending XCSF beyond linear approximation.
GECCO 2005: 1827-1834 |
| 50 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
XCS with computed prediction in multistep environments.
GECCO 2005: 1859-1866 |
| 49 | EE | Daniele Loiacono,
Pier Luca Lanzi:
Improving generalization in the XCSF classifier system using linear least-squares.
GECCO Workshops 2005: 374-377 |
| 48 | EE | Martin V. Butz,
David E. Goldberg,
Pier Luca Lanzi:
Effect of Pure Error-Based Fitness in XCS.
IWLCS 2005: 104-114 |
| 47 | EE | Federico Michele Facca,
Pier Luca Lanzi:
Mining interesting knowledge from weblogs: a survey.
Data Knowl. Eng. 53(3): 225-241 (2005) |
| 46 | EE | Martin V. Butz,
David E. Goldberg,
Pier Luca Lanzi:
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems.
IEEE Trans. Evolutionary Computation 9(5): 452-473 (2005) |
| 2004 |
| 45 | | Rosa Meo,
Pier Luca Lanzi,
Mika Klemettinen:
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries
Springer 2004 |
| 44 | | Kalyanmoy Deb,
Riccardo Poli,
Wolfgang Banzhaf,
Hans-Georg Beyer,
Edmund K. Burke,
Paul J. Darwen,
Dipankar Dasgupta,
Dario Floreano,
James A. Foster,
Mark Harman,
Owen Holland,
Pier Luca Lanzi,
Lee Spector,
Andrea Tettamanzi,
Dirk Thierens,
Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I
Springer 2004 |
| 43 | | Kalyanmoy Deb,
Riccardo Poli,
Wolfgang Banzhaf,
Hans-Georg Beyer,
Edmund K. Burke,
Paul J. Darwen,
Dipankar Dasgupta,
Dario Floreano,
James A. Foster,
Mark Harman,
Owen Holland,
Pier Luca Lanzi,
Lee Spector,
Andrea Tettamanzi,
Dirk Thierens,
Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II
Springer 2004 |
| 42 | EE | Rosa Meo,
Pier Luca Lanzi,
Maristella Matera,
Danilo Careggio,
Roberto Esposito:
Employing Inductive Databases in Concrete Applications.
Constraint-Based Mining and Inductive Databases 2004: 295-327 |
| 41 | EE | Fabrizio Ferrandi,
Pier Luca Lanzi,
Donatella Sciuto,
Mara Tanelli:
System-level metrics for hardware/software architectural mapping.
DELTA 2004: 231-236 |
| 40 | EE | Martin V. Butz,
David E. Goldberg,
Pier Luca Lanzi:
Bounding Learning Time in XCS.
GECCO (2) 2004: 739-750 |
| 39 | EE | Martin V. Butz,
David E. Goldberg,
Pier Luca Lanzi:
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems.
GECCO (2) 2004: 751-762 |
| 38 | EE | Fabrizio Ferrandi,
Pier Luca Lanzi,
Donatella Sciuto:
System Level Hardware-Software Design Exploration with XCS.
GECCO (2) 2004: 763-773 |
| 37 | EE | Pier Luca Lanzi,
Maristella Matera,
Andrea Maurino:
A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application Quality.
ICWE 2004: 50-54 |
| 36 | EE | Martin V. Butz,
Pier Luca Lanzi,
Xavier Llorà,
David E. Goldberg:
Knowledge Extraction and Problem Structure Identification in XCS.
PPSN 2004: 1051-1060 |
| 35 | EE | Piero Fraternali,
Pier Luca Lanzi,
Maristella Matera,
Andrea Maurino:
Exploiting conceptual modeling for web application quality evaluation.
WWW (Alternate Track Papers & Posters) 2004: 342-343 |
| 34 | EE | Rosa Meo,
Pier Luca Lanzi,
Maristella Matera,
Roberto Esposito:
Integrating Web Conceptual Modeling and Web Usage Mining.
WebKDD 2004: 135-148 |
| 33 | EE | Pietro Di Gianantonio,
Pier Luca Lanzi:
Lazy Algorithms for Exact Real Arithmetic.
Electr. Notes Theor. Comput. Sci. 104: 113-128 (2004) |
| 32 | | Martin V. Butz,
Tim Kovacs,
Pier Luca Lanzi,
Stewart W. Wilson:
Toward a theory of generalization and learning in XCS.
IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004) |
| 31 | | Piero Fraternali,
Pier Luca Lanzi,
Maristella Matera,
Andrea Maurino:
Model-Driven Web Usage Analysis for the Evaluation of Web Application Quality.
J. Web Eng. 3(2): 124-152 (2004) |
| 2003 |
| 30 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning Classifier Systems, 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers
Springer 2003 |
| 29 | EE | Federico Michele Facca,
Pier Luca Lanzi:
Recent Developments in Web Usage Mining Research.
DaWaK 2003: 140-150 |
| 28 | EE | Pier Luca Lanzi:
Estimating Classifier Generalization and Action's Effect: A Minimalist Approach.
GECCO 2003: 1894-1905 |
| 27 | EE | Pier Luca Lanzi:
Using Raw Accuracy to Estimate Classifier Fitness in XCS.
GECCO 2003: 1922-1923 |
| 26 | | Daniele Braga,
Alessandro Campi,
Stefano Ceri,
Mika Klemettinen,
Pier Luca Lanzi:
Discovering Interesting Information in XML Data with Association Rules.
SAC 2003: 450-454 |
| 25 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Editorial Introduction - Learning Classifier Systems.
Evolutionary Computation 11(3): (2003) |
| 2002 |
| 24 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Advances in Learning Classifier Systems, 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001, Revised Papers
Springer 2002 |
| 23 | EE | Daniele Braga,
Alessandro Campi,
Mika Klemettinen,
Pier Luca Lanzi:
Mining Association Rules from XML Data.
DaWaK 2002: 21-30 |
| 22 | EE | Daniele Braga,
Alessandro Campi,
Stefano Ceri,
Mika Klemettinen,
Pier Luca Lanzi:
A Tool for Extracting XML Association Rules.
ICTAI 2002: 57- |
| 21 | EE | John H. Holmes,
Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning classifier systems: New models, successful applications.
Inf. Process. Lett. 82(1): 23-30 (2002) |
| 20 | EE | Larry Bull,
Pier Luca Lanzi,
Wolfgang Stolzmann:
Learning Classifier Systems.
Soft Comput. 6(3-4): 143 (2002) |
| 19 | EE | Pier Luca Lanzi:
Learning classifier systems from a reinforcement learning perspective.
Soft Comput. 6(3-4): 162-170 (2002) |
| 2001 |
| 18 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Advances in Learning Classifier Systems, Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000, Revised Papers
Springer 2001 |
| 17 | | Egbert J. W. Boers,
Jens Gottlieb,
Pier Luca Lanzi,
Robert E. Smith,
Stefano Cagnoni,
Emma Hart,
Günther R. Raidl,
H. Tijink:
Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings
Springer 2001 |
| 16 | | Julian F. Miller,
Marco Tomassini,
Pier Luca Lanzi,
Conor Ryan,
Andrea Tettamanzi,
William B. Langdon:
Genetic Programming, 4th European Conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001, Proceedings
Springer 2001 |
| 2000 |
| 15 | | Stefano Cagnoni,
Riccardo Poli,
Yun Li,
George D. Smith,
David Corne,
Martin J. Oates,
Emma Hart,
Pier Luca Lanzi,
Egbert J. W. Boers,
Ben Paechter,
Terence C. Fogarty:
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000, Proceedings
Springer 2000 |
| 14 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning Classifier Systems, From Foundations to Applications
Springer 2000 |
| 13 | EE | Tim Kovacs,
Pier Luca Lanzi:
A Bigger Learning Classifier Systems Bibliography.
IWLCS 2000: 213-252 |
| 12 | | Giuseppe Psaila,
Pier Luca Lanzi:
Hierarchy-based Mining of Association Rules in Data Warehouses.
SAC (1) 2000: 307-312 |
| 11 | | Giuseppe Psaila,
Pier Luca Lanzi:
Hierarchy exploitation in data warehouses for mining association rules.
SEBD 2000: 243-256 |
| 10 | | Pier Luca Lanzi,
Stewart W. Wilson:
Toward Optimal Classifier System Performance in Non-Markov Environments.
Evolutionary Computation 8(4): 393-418 (2000) |
| 1999 |
| 9 | EE | 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?
Learning Classifier Systems 1999: 3-32 |
| 8 | EE | Tim Kovacs,
Pier Luca Lanzi:
A Learning Classifier Systems Bibliography.
Learning Classifier Systems 1999: 321-348 |
| 7 | EE | Pier Luca Lanzi,
Rick L. Riolo:
A Roadmap to the Last Decade of Learning Classifier System Research.
Learning Classifier Systems 1999: 33-62 |
| 6 | | Pier Luca Lanzi,
Giuseppe Psaila:
A Relational Database Mining Framework with Classification and Discretization.
SEBD 1999: 101-115 |
| 5 | | Pier Luca Lanzi:
An Analysis of Generalization in the XCS Classifier System.
Evolutionary Computation 7(2): 125-149 (1999) |
| 1998 |
| 4 | EE | Pier Luca Lanzi:
Generalization in Wilson's Classifier System.
PPSN 1998: 501-510 |
| 1997 |
| 3 | | Pier Luca Lanzi:
A Study of the Generalization Capabilities of XCS.
ICGA 1997: 418-425 |
| 1996 |
| 2 | | Marco Richeldi,
Pier Luca Lanzi:
ADHOC: a Tool for Performing Effective Feature Selection.
ICTAI 1996: 102-105 |
| 1 | | Marco Richeldi,
Pier Luca Lanzi:
Performing Effective Feature Selection by Investigating the Deep Structure of the Data.
KDD 1996: 379-383 |