Pier Luca Lanzi - researchr alias

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2011

Interactive evolution for the procedural generation of tracks in a high-end racing gameLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. gecco 2011: 395-402 [doi]

Evolving Interesting Maps for a First Person ShooterLuigi Cardamone, Georgios N. Yannakakis, Julian Togelius, Pier Luca Lanzi. evoW 2011: 63-72 [doi]

13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011Natalio Krasnogor, Pier Luca Lanzi, editors, ACM, 2011.

13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Proceedings, Dublin, Ireland, July 12-16, 2011Natalio Krasnogor, Pier Luca Lanzi, editors, ACM, 2011.

2010

TestFul: An Evolutionary Test Approach for JavaLuciano Baresi, Pier Luca Lanzi, Matteo Miraz. icst 2010: 185-194 [doi]

A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systemsCristiana Bolchini, Pier Luca Lanzi, Antonio Miele. cec 2010: 1-8 [doi]

Applying cooperative coevolution to compete in the 2009 TORCS Endurance World ChampionshipLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. cec 2010: 1-8 [doi]

Learning to Drive in the Open Racing Car Simulator Using Online NeuroevolutionLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. tciaig, 2(3):176-190, 2010. [doi]

Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computationMarco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Antonino Tumeo. gecco 2010: 1267-1274 [doi]

Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded SystemsFabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo. tcad, 29(6):911-924, 2010. [doi]

A spiking neural representation for XCSFGerard David Howard, Larry Bull, Pier Luca Lanzi. cec 2010: 1-8 [doi]

IEEE CIG 2009 Conference Report [Conference Report]Pier Luca Lanzi, David Robles Contreras, Luigi Cardamone. cim, 5(2):20-22, 2010. [doi]

Learning to overtake in TORCS using simple reinforcement learningDaniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone. cec 2010: 1-8 [doi]

The 2009 Simulated Car Racing ChampionshipDaniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez, Yago Sáez, Mike Preuss, Jan Quadflieg. tciaig, 2(2):131-147, 2010. [doi]

Improving evolutionary testing by means of efficiency enhancement techniquesMatteo Miraz, Pier Luca Lanzi, Luciano Baresi. cec 2010: 1-8 [doi]

2009

Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systemsMarco Branca, Lorenzo Camerini, Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo. gecco 2009: 1435-1442 [doi]

Introduction to the special issue on learning classifier systemsLarry Bull, Pier Luca Lanzi. nc, 8(1):1-2, 2009. [doi]

Sequential problems that test generalization in learning classifier systemsMartin V. Butz, Pier Luca Lanzi. evi, 2(3):141-147, 2009. [doi]

Evolving competitive car controllers for racing games with neuroevolutionLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. gecco 2009: 1179-1186 [doi]

On-line neuroevolution applied to The Open Racing Car SimulatorLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. cec 2009: 2622-2629 [doi]

Automatic analysis of eye tracking data for medical diagnosisFilippo Galgani, Yiwen Sun, Pier Luca Lanzi, Jason Leigh. cidm 2009: 195-202 [doi]

Data Mining Techniques for the Identification of Genes with Expression Levels Related to Breast Cancer PrognosisGabriele Giarratana, Marco Pizzera, Marco Masseroli, Enzo Medico, Pier Luca Lanzi. bibe 2009: 295-300 [doi]

Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSFGerard David Howard, Larry Bull, Pier Luca Lanzi. gecco 2009: 1219-1226 [doi]

Use of a Connection-Selection Scheme in Neural XCSFGerard David Howard, Larry Bull, Pier Luca Lanzi. iwlcs 2010: 87-106 [doi]

Learning classifier systemsPier Luca Lanzi. gecco 2009: 2853-2878 [doi]

Speeding Up Matching in Learning Classifier Systems Using CUDAPier Luca Lanzi, Daniele Loiacono. iwlcs 2010: 1-20 [doi]

Recursive Least Squares and Quadratic Prediction in Continuous Multistep ProblemsDaniele Loiacono, Pier Luca Lanzi. iwlcs 2010: 70-86 [doi]

TestFul: using a hybrid evolutionary algorithm for testing stateful systemsMatteo Miraz, Pier Luca Lanzi, Luciano Baresi. gecco 2009: 1947-1948 [doi]

Facetwise Analysis of XCS for Problems With Class ImbalancesAlbert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi. tec, 13(5):1093-1119, 2009. [doi]

Mapping pipelined applications onto heterogeneous embedded systems: a bayesian optimization algorithm based approachAntonino Tumeo, Marco Branca, Lorenzo Camerini, Christian Pilato, Pier Luca Lanzi, Fabrizio Ferrandi, Donatella Sciuto. codes 2009: 443-452 [doi]

2008

Self-adaptive mutation in XCSFMartin V. Butz, Patrick Stalph, Pier Luca Lanzi. gecco 2008: 1365-1372 [doi]

Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and CompactionMartin V. Butz, Pier Luca Lanzi, Stewart W. Wilson. tec, 12(3):355-376, 2008. [doi]

An analysis of matching in learning classifier systemsMartin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono. gecco 2008: 1349-1356 [doi]

A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level SynthesisFabrizio Ferrandi, Pier Luca Lanzi, Daniele Loiacono, Christian Pilato, Donatella Sciuto. isvlsi 2008: 417-422 [doi]

Self-adaptive constructivism in Neural XCS and XCSFGerard David Howard, Larry Bull, Pier Luca Lanzi. gecco 2008: 1389-1396 [doi]

Evolving classifier ensembles with voting predictorsPier Luca Lanzi, Daniele Loiacono, Matteo Zanini. cec 2008: 3760-3767 [doi]

Learning classifier systems: then and nowPier Luca Lanzi. evi, 1(1):63-82, 2008. [doi]

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of ModelsPier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 335-358, Springer, 2008. [doi]

Recursive least squares and quadratic prediction in continuous multistep problemsDaniele Loiacono, Pier Luca Lanzi. gecco 2008: 1985-1992 [doi]

Computed prediction in binary multistep problemsDaniele Loiacono, Pier Luca Lanzi. cec 2008: 3350-3357 [doi]

Tile Coding Based on Hyperplane TilesDaniele Loiacono, Pier Luca Lanzi. ewrl 2008: 179-190 [doi]

Improving evolutionary exploration to area-time optimization of FPGA designsChristian Pilato, Antonino Tumeo, Gianluca Palermo, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto. jsa, 54(11):1046-1057, 2008. [doi]

High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysisChristian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto. cec 2008: 3334-3341 [doi]

Ant colony optimization for mapping and scheduling in heterogeneous multiprocessor systemsAntonino Tumeo, Christian Pilato, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi. samos 2008: 142-149 [doi]

2007

Anticipation mappings for learning classifier systemsLarry Bull, Toby O Hara, Pier Luca Lanzi. cec 2007: 2133-2140 [doi]

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexityMartin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry. gpem, 8(1):5-37, 2007. [doi]

Mining constraint violationsStefano Ceri, Francesco Di Giunta, Pier Luca Lanzi. tods, 32(1):6, 2007. [doi]

Data and web management research at Politecnico di MilanoStefano 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. SIGMOD, 36(4):43-48, 2007. [doi]

An Evolutionary Approach to Area-Time Optimization of FPGA designsFabrizio Ferrandi, Pier Luca Lanzi, Gianluca Palermo, Christian Pilato, Donatella Sciuto, Antonino Tumeo. samos 2007: 145-152 [doi]

A Simple Real-Coded Extended Compact Genetic AlgorithmLuca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez. cec 2007: 342-348 [doi]

Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected PapersTim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Volume 4399 of Lecture Notes in Computer Science, Springer, 2007.

Evolving Classifiers Ensembles with Heterogeneous PredictorsPier Luca Lanzi, Daniele Loiacono, Matteo Zanini. iwlcs 2008: 218-234 [doi]

Classifier systems that compute action mappingsPier Luca Lanzi, Daniele Loiacono. gecco 2007: 1822-1829 [doi]

Analysis of Population Evolution in Classifier Systems Using Symbolic RepresentationsPier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari. iwlcs 2008: 22-45 [doi]

Empirical analysis of generalization and learning in XCS with gradient descentPier Luca Lanzi, Martin V. Butz, David E. Goldberg. gecco 2007: 1814-1821 [doi]

An analysis of generalization in XCS with symbolic conditionsPier Luca Lanzi. cec 2007: 2149-2156 [doi]

Generalization in the XCSF Classifier System: Analysis, Improvement, and ExtensionPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. ec, 15(2):133-168, 2007. [doi]

An approach to analyze the evolution of symbolic conditions in learning classifier systemsPier Luca Lanzi, Stefano Rocca, Stefania Solari. gecco 2007: 2795-2800 [doi]

Support vector regression for classifier predictionDaniele Loiacono, Andrea Marelli, Pier Luca Lanzi. gecco 2007: 1806-1813 [doi]

Support vector machines for computing action mappings in learning classifier systemsDaniele Loiacono, Andrea Marelli, Pier Luca Lanzi. cec 2007: 2141-2148 [doi]

Analysis and Improvements of the Classifier Error Estimate in XCSFDaniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi. iwlcs 2008: 117-135 [doi]

Modeling selection pressure in XCS for proportionate and tournament selectionAlbert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla. gecco 2007: 1846-1853 [doi]

Fitness inheritance in evolutionary and multi-objective high-level synthesisChristian Pilato, Gianluca Palermo, Antonino Tumeo, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi. cec 2007: 3459-3466 [doi]

2006

Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAsCristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice. jsa, 52(8-9):516-533, 2006. [doi]

Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structureMartin V. Butz, Pier Luca Lanzi, Stewart W. Wilson. gecco 2006: 1457-1464 [doi]

Automatic Test Pattern Generation with BOATiziana Gravagnoli, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto. ppsn 2006: 423-432 [doi]

Standard and averaging reinforcement learning in XCSPier Luca Lanzi, Daniele Loiacono. gecco 2006: 1489-1496 [doi]

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptationPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. gecco 2006: 1505-1512 [doi]

Using convex hulls to represent classifier conditionsPier Luca Lanzi, Stewart W. Wilson. gecco 2006: 1481-1488 [doi]

Classifier prediction based on tile codingPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. gecco 2006: 1497-1504 [doi]

2005

Toward an FPGA implementation of XCSCristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice. cec 2005: 2053-2060 [doi]

Gradient descent methods in learning classifier systems: improving XCS performance in multistep problemsMartin V. Butz, David E. Goldberg, Pier Luca Lanzi. tec, 9(5):452-473, 2005. [doi]

Effect of Pure Error-Based Fitness in XCSMartin V. Butz, David E. Goldberg, Pier Luca Lanzi. iwlcs 2007: 104-114 [doi]

Mining interesting knowledge from weblogs: a surveyFederico Michele Facca, Pier Luca Lanzi. DKE, 53(3):225-241, 2005. [doi]

Extending XCSF beyond linear approximationPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. gecco 2005: 1827-1834 [doi]

XCS with computed prediction for the learning of Boolean functionsPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. cec 2005: 588-595 [doi]

XCS with computed prediction in multistep environmentsPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. gecco 2005: 1859-1866 [doi]

XCS with computed prediction in continuous multistep environmentsPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. cec 2005: 2032-2039 [doi]

Improving generalization in the XCSF classifier system using linear least-squaresDaniele Loiacono, Pier Luca Lanzi. gecco 2005: 374-377 [doi]

2004

Toward a theory of generalization and learning in XCSMartin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson. tec, 8(1):28-46, 2004.

Knowledge Extraction and Problem Structure Identification in XCSMartin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg. ppsn 2004: 1051-1060 [doi]

Bounding Learning Time in XCSMartin V. Butz, David E. Goldberg, Pier Luca Lanzi. gecco 2004: 739-750 [doi]

Gradient-Based Learning Updates Improve XCS Performance in Multistep ProblemsMartin V. Butz, David E. Goldberg, Pier Luca Lanzi. gecco 2004: 751-762 [doi]

Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part IIKalyanmoy 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, editors, Volume 3103 of Lecture Notes in Computer Science, Springer, 2004.

Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part IKalyanmoy 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, editors, Volume 3102 of Lecture Notes in Computer Science, Springer, 2004.

System Level Hardware-Software Design Exploration with XCSFabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto. gecco 2004: 763-773 [doi]

System-level metrics for hardware/software architectural mappingFabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Mara Tanelli. delta 2004: 231-236 [doi]

Model-Driven Web Usage Analysis for the Evaluation of Web Application QualityPiero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea Maurino. jwe, 3(2):124-152, 2004.

Exploiting conceptual modeling for web application quality evaluationPiero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea Maurino. WWW 2004: 342-343 [doi]

Lazy Algorithms for Exact Real ArithmeticPietro Di Gianantonio, Pier Luca Lanzi. ENTCS, 104:113-128, 2004. [doi]

A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application QualityPier Luca Lanzi, Maristella Matera, Andrea Maurino. ICWE 2004: 50-54 [doi]

Employing Inductive Databases in Concrete ApplicationsRosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito. cinq 2005: 295-327 [doi]

Database Support for Data Mining Applications: Discovering Knowledge with Inductive QueriesRosa Meo, Pier Luca Lanzi, Mika Klemettinen, editors, Volume 2682 of Lecture Notes in Computer Science, Springer, 2004.

Integrating Web Conceptual Modeling and Web Usage MiningRosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito. kdd 2006: 135-148 [doi]

2003

Discovering Interesting Information in XML Data with Association RulesDaniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi. SAC 2003: 450-454

Recent Developments in Web Usage Mining ResearchFederico Michele Facca, Pier Luca Lanzi. dawak 2003: 140-150 [doi]

Learning Classifier Systems, 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised PapersPier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Volume 2661 of Lecture Notes in Computer Science, Springer, 2003.

Editorial Introduction - Learning Classifier SystemsPier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson. ec, 11(3), 2003.

Using Raw Accuracy to Estimate Classifier Fitness in XCSPier Luca Lanzi. gecco 2003: 1922-1923 [doi]

Estimating Classifier Generalization and Action s Effect: A Minimalist ApproachPier Luca Lanzi. gecco 2003: 1894-1905 [doi]

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