ADHOC: a Tool for Performing Effective Feature Selection. - Marco Richeldi; Pier Luca Lanzi (ICTAI, 1996)

Performing Effective Feature Selection by Investigating the Deep Structure of the Data. - Marco Richeldi; Pier Luca Lanzi (KDD, 1996)

Fast feature selection with genetic algorithms: a filter approach. - Pier Luca Lanzi (ICEC, 1997)

A Study of the Generalization Capabilities of XCS. - Pier Luca Lanzi (ICGA, 1997)

Generalization in Wilson's Classifier System. - Pier Luca Lanzi (PPSN, 1998)

What Is a Learning Classifier System? - John H. Holland; Lashon B. Booker; Marco Colombetti; Marco Dorigo; David E. Goldberg; Stephanie Forrest; Rick L. Riolo; Robert E. Smith 001; Pier Luca Lanzi; Wolfgang Stolzmann; Stewart W. Wilson (Learning Classifier Systems, 1999)

A Learning Classifier Systems Bibliography. - Tim Kovacs; Pier Luca Lanzi (Learning Classifier Systems, 1999)

A Roadmap to the Last Decade of Learning Classifier System Research. - Pier Luca Lanzi; Rick L. Riolo (Learning Classifier Systems, 1999)

A Relational Database Mining Framework with Classification and Discretization. - Pier Luca Lanzi; Giuseppe Psaila (SEBD, 1999)

An Analysis of Generalization in the XCS Classifier System. - Pier Luca Lanzi (Evol. Comput., 1999)

A Bigger Learning Classifier Systems Bibliography. - Tim Kovacs; Pier Luca Lanzi (IWLCS, 2000)

Hierarchy-based Mining of Association Rules in Data Warehouses. - Giuseppe Psaila; Pier Luca Lanzi (SAC (1), 2000)

Hierarchy exploitation in data warehouses for mining association rules. - Giuseppe Psaila; Pier Luca Lanzi (SEBD, 2000)

Toward Optimal Classifier System Performance in Non-Markov Environments. - Pier Luca Lanzi; Stewart W. Wilson (Evol. Comput., 2000)

Mining Association Rules from XML Data. - Daniele Braga; Alessandro Campi; Mika Klemettinen; Pier Luca Lanzi (DaWaK, 2002)

A Tool for Extracting XML Association Rules. - Daniele Braga; Alessandro Campi; Stefano Ceri; Mika Klemettinen; Pier Luca Lanzi (ICTAI, 2002)

Learning classifier systems: New models, successful applications. - John H. Holmes; Pier Luca Lanzi; Wolfgang Stolzmann; Stewart W. Wilson (Inf. Process. Lett., 2002)

A statistical analysis of the trading agent competition 2001. - Pier Luca Lanzi; Alessandro Strada (SIGecom Exch., 2002)

Learning Classifier Systems. - Larry Bull; Pier Luca Lanzi; Wolfgang Stolzmann (Soft Comput., 2002)

Learning classifier systems from a reinforcement learning perspective. - Pier Luca Lanzi (Soft Comput., 2002)

Mining interesting patterns from hardware-software codesign data with the learning classifier system XCS. - Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto (IEEE Congress on Evolutionary Computation, 2003)

A comparison of relative accuracy and raw accuracy in XCS. - Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2003)

XCS with stack-based genetic programming. - Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2003)

Recent Developments in Web Usage Mining Research. - Federico Michele Facca; Pier Luca Lanzi (DaWaK, 2003)

Estimating Classifier Generalization and Action's Effect: A Minimalist Approach. - Pier Luca Lanzi (GECCO, 2003)

Using Raw Accuracy to Estimate Classifier Fitness in XCS. - Pier Luca Lanzi (GECCO, 2003)

Discovering Interesting Information in XML Data with Association Rules. - Daniele Braga; Alessandro Campi; Stefano Ceri; Mika Klemettinen; Pier Luca Lanzi (SAC, 2003)

Editorial Introduction - Learning Classifier Systems. - Pier Luca Lanzi; Wolfgang Stolzmann; Stewart W. Wilson (Evol. Comput., 2003)

Lazy Algorithms for Exact Real Arithmetic. - Pietro Di Gianantonio; Pier Luca Lanzi (COMETA, 2003)

Employing Inductive Databases in Concrete Applications. - Rosa Meo; Pier Luca Lanzi; Maristella Matera; Danilo Careggio; Roberto Esposito (Constraint-Based Mining and Inductive Databases, 2004)

System-level metrics for hardware/software architectural mapping. - Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto; Mara Tanelli (DELTA, 2004)

Bounding Learning Time in XCS. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (GECCO (2), 2004)

Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (GECCO (2), 2004)

System Level Hardware-Software Design Exploration with XCS. - Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto (GECCO (2), 2004)

A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application Quality. - Pier Luca Lanzi; Maristella Matera; Andrea Maurino (ICWE, 2004)

Integrating Web Conceptual Modeling and Web Usage Mining. - Rosa Meo; Pier Luca Lanzi; Maristella Matera; Roberto Esposito (WebKDD, 2004)

Knowledge Extraction and Problem Structure Identification in XCS. - Martin V. Butz; Pier Luca Lanzi; Xavier Llorà; David E. Goldberg (PPSN, 2004)

Exploiting conceptual modeling for web application quality evaluation. - Piero Fraternali; Pier Luca Lanzi; Maristella Matera; Andrea Maurino (WWW (Alternate Track Papers & Posters), 2004)

Model-Driven Web Usage Analysis for the Evaluation of Web Application Quality. - Piero Fraternali; Pier Luca Lanzi; Maristella Matera; Andrea Maurino (J. Web Eng., 2004)

Toward a theory of generalization and learning in XCS. - Martin V. Butz; Tim Kovacs; Pier Luca Lanzi; Stewart W. Wilson (IEEE Trans. Evol. Comput., 2004)

Toward an FPGA implementation of XCS. - Cristiana Bolchini; Paolo Ferrandi; Pier Luca Lanzi; Fabio Salice (Congress on Evolutionary Computation, 2005)

XCS with computed prediction for the learning of Boolean functions. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Congress on Evolutionary Computation, 2005)

XCS with computed prediction in continuous multistep environments. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Extending XCSF beyond linear approximation. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2005)

XCS with computed prediction in multistep environments. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2005)

Improving generalization in the XCSF classifier system using linear least-squares. - Daniele Loiacono; Pier Luca Lanzi (GECCO Workshops, 2005)

Effect of Pure Error-Based Fitness in XCS. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (IWLCS, 2005)

Mining interesting knowledge from weblogs: a survey. - Federico Michele Facca; Pier Luca Lanzi (Data Knowl. Eng., 2005)

Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (IEEE Trans. Evol. Comput., 2005)

XCSF with Neural Prediction. - Pier Luca Lanzi; Daniele Loiacono (IEEE Congress on Evolutionary Computation, 2006)

Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. - Martin V. Butz; Pier Luca Lanzi; Stewart W. Wilson (GECCO, 2006)

Standard and averaging reinforcement learning in XCS. - Pier Luca Lanzi; Daniele Loiacono (GECCO, 2006)

Classifier prediction based on tile coding. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2006)

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2006)

Using convex hulls to represent classifier conditions. - Pier Luca Lanzi; Stewart W. Wilson (GECCO, 2006)

Automatic Test Pattern Generation with BOA. - Tiziana Gravagnoli; Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto (PPSN, 2006)

Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAs. - Cristiana Bolchini; Paolo Ferrandi; Pier Luca Lanzi; Fabio Salice (J. Syst. Archit., 2006)

Anticipation mappings for learning classifier systems. - Larry Bull; Toby O'Hara; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2007)

A Simple Real-Coded Extended Compact Genetic Algorithm. - Luca Fossati; Pier Luca Lanzi; Kumara Sastry; David E. Goldberg; Osvaldo Gómez (IEEE Congress on Evolutionary Computation, 2007)

An analysis of generalization in XCS with symbolic conditions. - Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2007)

Support vector machines for computing action mappings in learning classifier systems. - Daniele Loiacono; Andrea Marelli; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2007)

Fitness inheritance in evolutionary and multi-objective high-level synthesis. - Christian Pilato; Gianluca Palermo; Antonino Tumeo; Fabrizio Ferrandi; Donatella Sciuto; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2007)

Empirical analysis of generalization and learning in XCS with gradient descent. - Pier Luca Lanzi; Martin V. Butz; David E. Goldberg (GECCO, 2007)

Classifier systems that compute action mappings. - Pier Luca Lanzi; Daniele Loiacono (GECCO, 2007)

An approach to analyze the evolution of symbolic conditions in learning classifier systems. - Pier Luca Lanzi; Stefano Rocca; Stefania Solari (GECCO (Companion), 2007)

Support vector regression for classifier prediction. - Daniele Loiacono; Andrea Marelli; Pier Luca Lanzi (GECCO, 2007)

Modeling selection pressure in XCS for proportionate and tournament selection. - Albert Orriols-Puig; Kumara Sastry; Pier Luca Lanzi; David E. Goldberg; Ester Bernadó-Mansilla (GECCO, 2007)

Evolving Classifiers Ensembles with Heterogeneous Predictors. - Pier Luca Lanzi; Daniele Loiacono; Matteo Zanini (IWLCS, 2007)

Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. - Pier Luca Lanzi; Stefano Rocca; Kumara Sastry; Stefania Solari (IWLCS, 2007)

Analysis and Improvements of the Classifier Error Estimate in XCSF. - Daniele Loiacono; Jan Drugowitsch; Alwyn Barry; Pier Luca Lanzi (IWLCS, 2007)

An Evolutionary Approach to Area-Time Optimization of FPGA designs. - Fabrizio Ferrandi; Pier Luca Lanzi; Gianluca Palermo; Christian Pilato; Donatella Sciuto; Antonino Tumeo (ICSAMOS, 2007)

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Evol. Comput., 2007)

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi; Kumara Sastry (Genet. Program. Evolvable Mach., 2007)

Data and web management research at Politecnico di Milano. - Stefano Ceri; Cristiana Bolchini; Daniele Braga; Marco Brambilla 001; Alessandro Campi; Sara Comai; Piero Fraternali; Pier Luca Lanzi; Marco Masseroli; Maristella Matera; Mauro Negri; Giuseppe Pelagatti; et al. (SIGMOD Rec., 2007)

Mining constraint violations. - Stefano Ceri; Francesco Di Giunta; Pier Luca Lanzi (ACM Trans. Database Syst., 2007)

Evolving classifier ensembles with voting predictors. - Pier Luca Lanzi; Daniele Loiacono; Matteo Zanini (IEEE Congress on Evolutionary Computation, 2008)

Computed prediction in binary multistep problems. - Daniele Loiacono; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2008)

High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. - Christian Pilato; Daniele Loiacono; Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto (IEEE Congress on Evolutionary Computation, 2008)

The WCCI 2008 simulated car racing competition. - Daniele Loiacono; Julian Togelius; Pier Luca Lanzi; Leonard Kinnaird-Heether; Simon M. Lucas; Matt Simmerson; Diego Perez Liebana; Robert G. Reynolds; Yago Sáez (CIG, 2008)

Tile Coding Based on Hyperplane Tiles. - Daniele Loiacono; Pier Luca Lanzi (EWRL, 2008)

An analysis of matching in learning classifier systems. - Martin V. Butz; Pier Luca Lanzi; Xavier Llorà; Daniele Loiacono (GECCO, 2008)

Self-adaptive mutation in XCSF. - Martin V. Butz; Patrick O. Stalph; Pier Luca Lanzi (GECCO, 2008)

Self-adaptive constructivism in Neural XCS and XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (GECCO, 2008)

Recursive least squares and quadratic prediction in continuous multistep problems. - Daniele Loiacono; Pier Luca Lanzi (GECCO (Companion), 2008)

A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. - Fabrizio Ferrandi; Pier Luca Lanzi; Daniele Loiacono; Christian Pilato; Donatella Sciuto (ISVLSI, 2008)

Ant colony optimization for mapping and scheduling in heterogeneous multiprocessor systems. - Antonino Tumeo; Christian Pilato; Fabrizio Ferrandi; Donatella Sciuto; Pier Luca Lanzi (ICSAMOS, 2008)

Learning classifier systems: then and now. - Pier Luca Lanzi (Evol. Intell., 2008)

Improving evolutionary exploration to area-time optimization of FPGA designs. - Christian Pilato; Antonino Tumeo; Gianluca Palermo; Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto (J. Syst. Archit., 2008)

Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. - Martin V. Butz; Pier Luca Lanzi; Stewart W. Wilson (IEEE Trans. Evol. Comput., 2008)

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. - Pier Luca Lanzi; Luigi Nichetti; Kumara Sastry; Davide Voltini; David E. Goldberg (Linkage in Evolutionary Computation, 2008)

Data Mining Techniques for the Identification of Genes with Expression Levels Related to Breast Cancer Prognosis. - Gabriele Giarratana; Marco Pizzera; Marco Masseroli; Enzo Medico; Pier Luca Lanzi (BIBE, 2009)

On-line neuroevolution applied to The Open Racing Car Simulator. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2009)

Automatic analysis of eye tracking data for medical diagnosis. - Filippo Galgani; Yiwen Sun; Pier Luca Lanzi; Jason Leigh (CIDM, 2009)

Learning drivers for TORCS through imitation using supervised methods. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (CIG, 2009)

Learning a context-aware weapon selection policy for Unreal Tournament III. - Luca Galli; Daniele Loiacono; Pier Luca Lanzi (CIG, 2009)

Simulated car racing. - Daniele Loiacono; Julian Togelius; Pier Luca Lanzi (CIG, 2009)

Mapping pipelined applications onto heterogeneous embedded systems: a bayesian optimization algorithm based approach. - Antonino Tumeo; Marco Branca; Lorenzo Camerini; Christian Pilato; Pier Luca Lanzi; Fabrizio Ferrandi; Donatella Sciuto (CODES+ISSS, 2009)

Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. - Marco Branca; Lorenzo Camerini; Fabrizio Ferrandi; Pier Luca Lanzi; Christian Pilato; Donatella Sciuto; Antonino Tumeo (GECCO, 2009)

Evolving competitive car controllers for racing games with neuroevolution. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (GECCO, 2009)

Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (GECCO, 2009)

Learning classifier systems. - Pier Luca Lanzi (GECCO (Companion), 2009)

TestFul: using a hybrid evolutionary algorithm for testing stateful systems. - Matteo Miraz; Pier Luca Lanzi; Luciano Baresi (GECCO, 2009)

Use of a Connection-Selection Scheme in Neural XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (IWLCS, 2009)

Speeding Up Matching in Learning Classifier Systems Using CUDA. - Pier Luca Lanzi; Daniele Loiacono (IWLCS, 2009)

Sequential problems that test generalization in learning classifier systems. - Martin V. Butz; Pier Luca Lanzi (Evol. Intell., 2009)

Introduction to the special issue on learning classifier systems. - Larry Bull; Pier Luca Lanzi (Nat. Comput., 2009)

Facetwise Analysis of XCS for Problems With Class Imbalances. - Albert Orriols-Puig; Ester Bernadó-Mansilla; David E. Goldberg; Kumara Sastry; Pier Luca Lanzi (IEEE Trans. Evol. Comput., 2009)

A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. - Cristiana Bolchini; Pier Luca Lanzi; Antonio Miele (IEEE Congress on Evolutionary Computation, 2010)

Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2010)

A spiking neural representation for XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2010)

Learning to overtake in TORCS using simple reinforcement learning. - Daniele Loiacono; Alessandro Prete; Pier Luca Lanzi; Luigi Cardamone (IEEE Congress on Evolutionary Computation, 2010)

Improving evolutionary testing by means of efficiency enhancement techniques. - Matteo Miraz; Pier Luca Lanzi; Luciano Baresi (IEEE Congress on Evolutionary Computation, 2010)

Searching for the optimal racing line using genetic algorithms. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi; Alessandro Pietro Bardelli (CIG, 2010)

Overtaking opponents with blocking strategies using fuzzy logic. - Enrique Onieva; Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (CIG, 2010)

Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. - Marco Ceriani; Fabrizio Ferrandi; Pier Luca Lanzi; Donatella Sciuto; Antonino Tumeo (GECCO, 2010)

TestFul: An Evolutionary Test Approach for Java. - Luciano Baresi; Pier Luca Lanzi; Matteo Miraz (ICST, 2010)

IEEE CIG 2009 Conference Report [Conference Report]. - Pier Luca Lanzi; David Robles Contreras; Luigi Cardamone (IEEE Comput. Intell. Mag., 2010)

Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems. - Fabrizio Ferrandi; Pier Luca Lanzi; Christian Pilato; Donatella Sciuto; Antonino Tumeo (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (IEEE Trans. Comput. Intell. AI Games, 2010)

The 2009 Simulated Car Racing Championship. - Daniele Loiacono; Pier Luca Lanzi; Julian Togelius; Enrique Onieva; David A. Pelta; Martin V. Butz; Thies D. Lönneker; Luigi Cardamone; Diego Perez Liebana; Yago Sáez; Mike Preuss; Jan Quadflieg (IEEE Trans. Comput. Intell. AI Games, 2010)

Classifier Systems. - Pier Luca Lanzi (Encyclopedia of Machine Learning, 2010)

Transfer of driving behaviors across different racing games. - Luigi Cardamone; Antonio Caiazzo; Daniele Loiacono; Pier Luca Lanzi (CIG, 2011)

A cheating detection framework for Unreal Tournament III: A machine learning approach. - Luca Galli; Daniele Loiacono; Luigi Cardamone; Pier Luca Lanzi (CIG, 2011)

Evolving Interesting Maps for a First Person Shooter. - Luigi Cardamone; Georgios N. Yannakakis; Julian Togelius; Pier Luca Lanzi (EvoApplications (1), 2011)

Interactive evolution for the procedural generation of tracks in a high-end racing game. - Luigi Cardamone; Daniele Loiacono; Pier Luca Lanzi (GECCO, 2011)

Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. - Daniele Loiacono; Luigi Cardamone; Pier Luca Lanzi (IEEE Trans. Comput. Intell. AI Games, 2011)

Evolving the optimal racing line in a high-end racing game. - Matteo Botta; Vincenzo Gautieri; Daniele Loiacono; Pier Luca Lanzi (CIG, 2012)

Self-adaptive games for rehabilitation at home. - Michele Pirovano; Renato Mainetti; Gabriel Baud-Bovy; Pier Luca Lanzi; N. Alberto Borghese (CIG, 2012)

Enhancing Learning Capabilities by XCS with Best Action Mapping. - Masaya Nakata; Pier Luca Lanzi; Keiki Takadama (PPSN (1), 2012)

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. - Martin Pelikan; Mark Hauschild; Pier Luca Lanzi (PPSN (1), 2012)

XCS with Adaptive Action Mapping. - Masaya Nakata; Pier Luca Lanzi; Keiki Takadama (SEAL, 2012)

An integrated low-cost system for at-home rehabilitation. - N. Alberto Borghese; Michele Pirovano; Renato Mainetti; Pier Luca Lanzi (VSMM, 2012)

A Spiking Neural Learning Classifier System - Gerard David Howard; Larry Bull; Pier Luca Lanzi (CoRR, 2012)

A novel intuitionistic fuzzy clustering method for geo-demographic analysis. - Le Hoang Son; Bui Cong Cuong; Pier Luca Lanzi; Nguyen Tho Thong (Expert Syst. Appl., 2012)

Ant Colony Optimization for mapping, scheduling and placing in reconfigurable systems. - Fabrizio Ferrandi; Pier Luca Lanzi; Christian Pilato; Donatella Sciuto; Antonino Tumeo (AHS, 2013)

Simple compact genetic algorithm for XCS. - Masaya Nakata; Pier Luca Lanzi; Keiki Takadama (IEEE Congress on Evolutionary Computation, 2013)

Procedural Content Generation: Goals, Challenges and Actionable Steps. - Julian Togelius; Alex J. Champandard; Pier Luca Lanzi; Michael Mateas; Ana Paiva 001; Mike Preuss; Kenneth O. Stanley (Artificial and Computational Intelligence in Games, 2013)

Tuning mobile game design using data mining. - Pier Luca Lanzi; Daniele Loiacono; Emanuele Parini; Federico Sannicoló; Davide Jones; Claudio Scamporlino (IGIC, 2013)

The design of a comprehensive game engine for rehabilitation. - Michele Pirovano; Pier Luca Lanzi; Renato Mainetti; N. Alberto Borghese (IGIC, 2013)

Selection strategy for XCS with adaptive action mapping. - Masaya Nakata; Pier Luca Lanzi; Keiki Takadama (GECCO, 2013)

IGER: A Game Engine Specifically Tailored to Rehabilitation. - Michele Pirovano; Pier Luca Lanzi; Renato Mainetti; Nunzio Alberto Borghese (GFHEU, 2013)

Robust Silhouette Extraction from Kinect Data. - Michele Pirovano; Carl Yuheng Ren; Iuri Frosio; Pier Luca Lanzi; Victor Adrian Prisacariu; David William Murray 001; N. Alberto Borghese (ICIAP (1), 2013)

An intelligent game engine for the at-home rehabilitation of stroke patients. - N. Alberto Borghese; Renato Mainetti; Michele Pirovano; Pier Luca Lanzi (SeGAH, 2013)

Simulated Car Racing Championship: Competition Software Manual - Daniele Loiacono; Luigi Cardamone; Pier Luca Lanzi (CoRR, 2013)

Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. - Luigi Cardamone; Pier Luca Lanzi; Daniele Loiacono; Enrique Onieva (Expert Syst. Appl., 2013)

Applying data mining to extract design patterns from Unreal Tournament levels. - Luca Galli; Pier Luca Lanzi; Daniele Loiacono (CIG, 2014)

Evolving maps for match balancing in first person shooters. - Pier Luca Lanzi; Daniele Loiacono; Riccardo Stucchi (CIG, 2014)

Learning classifier systems: a gentle introduction. - Pier Luca Lanzi (GECCO (Companion), 2014)

Complete action map or best action map in accuracy-based reinforcement learning classifier systems. - Masaya Nakata; Pier Luca Lanzi; Tim Kovacs; Keiki Takadama (GECCO, 2014)

Automatic Tuning of Computational Models. - Matteo Hessel; Fabio Ortalli; Francesco Borgatelli; Pier Luca Lanzi (SIMULTECH (Selected Papers), 2014)

Fuzzy Tactics: A scripting game that leverages fuzzy logic as an engaging game mechanic. - Michele Pirovano; Pier Luca Lanzi (Expert Syst. Appl., 2014)

How should Learning Classifier Systems cover a state-action space? - Masaya Nakata; Pier Luca Lanzi; Tim Kovacs; Will Neil Browne; Keiki Takadama (CEC, 2015)

Rhythmic Reading Training (RRT) - A Computer-Assisted Intervention Program for Dyslexia. - Alice Cancer; Silvia Bonacina; Maria Luisa Lorusso; Pier Luca Lanzi; Alessandro Antonietti (MindCare, 2015)

TrackGen: An interactive track generator for TORCS and Speed-Dreams. - Luigi Cardamone; Pier Luca Lanzi; Daniele Loiacono (Appl. Soft Comput., 2015)

XCSF with tile coding in discontinuous action-value landscapes. - Pier Luca Lanzi; Daniele Loiacono (Evol. Intell., 2015)

Rule reduction by selection strategy in XCS with adaptive action map. - Masaya Nakata; Pier Luca Lanzi; Keiki Takadama (Evol. Intell., 2015)

Algorithms Based on Computational Intelligence for Autonomous Physical Rehabilitation at Home. - Nunzio Alberto Borghese; Pier Luca Lanzi; Renato Mainetti; Michele Pirovano; Elif Sürer (Advances in Neural Networks, 2015)

Exergaming and rehabilitation: A methodology for the design of effective and safe therapeutic exergames. - Michele Pirovano; Elif Sürer; Renato Mainetti; Pier Luca Lanzi; N. Alberto Borghese (Entertain. Comput., 2016)

A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (Neural Process. Lett., 2016)

Intelligent Game Engine for Rehabilitation (IGER). - Michele Pirovano; Renato Mainetti; Gabriel Baud-Bovy; Pier Luca Lanzi; N. Alberto Borghese (IEEE Trans. Comput. Intell. AI Games, 2016)

Classifier Systems. - Pier Luca Lanzi (Encyclopedia of Machine Learning and Data Mining, 2017)

An Integrated Framework for AI Assisted Level Design in 2D Platformers. - Antonio Umberto Aramini; Pier Luca Lanzi; Daniele Loiacono (GEM, 2018)

Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. - Fabrizia Corona; Rocco M. Chiuri; Giovanni Filocamo; Michaela Foà; Pier Luca Lanzi; Amalia Lopopolo; Antonella Petaccia (GEM, 2018)

DOOM Level Generation Using Generative Adversarial Networks. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (GEM, 2018)

Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. - Stefano Di Palma; Pier Luca Lanzi (IEEE Trans. Games, 2018)

Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (CoG, 2019)

Evaluating the Complexity of Players' Strategies using MCTS Iterations. - Pier Luca Lanzi (CoG, 2019)

TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge. - Luca Favano; Mark J. Carman; Pier Luca Lanzi (CLEF (Working Notes), 2019)

Lower Limb Rehabilitation in Juvenile Idiopathic Arthritis using Serious Games. - Fabrizia Corona; Alex De Vita; Giovanni Filocamo; Michaela Foà; Pier Luca Lanzi; Amalia Lopopolo; Antonella Petaccia (CoG, 2020)

Asking Students to Do All the Work: An Analysis of a Fully Peer-Assessed Course on Game Design and Development. - Pier Luca Lanzi; Daniele Loiacono (FDG, 2020)

A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. - Umberto Picariello; Daniele Loiacono; Fabio Mosca; Pier Luca Lanzi (SSCI, 2020)

An Educational Experience to Raise Awareness About Space Debris. - Camilla Colombo; Nicoletta Di Blas; Ioannis Gkolias; Pier Luca Lanzi; Daniele Loiacono; Erica Stella (IEEE Access, 2020)

An Agent-Based Approach for Procedural Puzzle Generation in Graph-Based Maps. - Francesco Venco; Pier Luca Lanzi (CoG, 2021)

Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono; Luca Nassano (IJCNN, 2021)

V-Arcade: design and development of a serious games framework to support the upper limbs rehabilitation. - Eleonora Chitti; N. Alberto Borghese; Federica Anello; Pier Luca Lanzi; Fabrizia Corona; Giovanni Filocamo; Michaela Foà; Antonella Petaccia; Amalia Lopopolo (SEGAH, 2021)

Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. - Edoardo Giacomello; Michele Cataldo; Daniele Loiacono; Pier Luca Lanzi (CoRR, 2021)

A computational tool for engineer dropout prediction. - Paola Mussida; Pier Luca Lanzi (EDUCON, 2022)

One day in a Roman Domus: Human Factors and Educational Properties Involved in a Virtual Heritage Application. - Monica Clerici; Paolo Boffi; Pier Luca Lanzi; Lilia Coppola; Cristina Murone; Alberto Gallace (ISMAR Adjunct, 2022)

Evaluation of the V-Arcade serious games framework to support upper limbs rehabilitation at home for children with Juvenile Idiopathic Arthritis. - Eleonora Chitti; N. Alberto Borghese; Federica Anello; Pier Luca Lanzi; Fabrizia Corona; Giovanni Filocamo; Michaela Foà; Antonella Petaccia; Amalia Lopopolo (SeGAH, 2022)

One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design. - Pier Luca Lanzi; Daniele Loiacono; Alberto Arosio; Dorian Bucur; Davide Caio; Luca Capecchi; Maria Giulietta Cappelletti; Lorenzo Carnaghi; Marco Giuseppe Caruso; Valerio Ceraudo; Luca Contato; Luca Cornaggia; et al. (CoRR, 2022)

An analysis of Single-Player Monte Carlo Tree Search performance in Sokoban. - Mattia Crippa; Pier Luca Lanzi; Fabio Marocchi (Expert Syst. Appl., 2022)

ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. - Pier Luca Lanzi; Daniele Loiacono (GECCO, 2023)

An educational experience in ancient Rome to evaluate the impact of virtual reality on human learning processes. - Paolo Boffi; Monica Clerici; Alberto Gallace; Pier Luca Lanzi (Comput. Educ. X Real., 2023)

A virtual reality classroom to teach and explore crystal solid state structures. - Erica Stella; Isabella Agosti; Nicoletta Di Blas; Marco Finazzi; Pier Luca Lanzi; Daniele Loiacono (Multim. Tools Appl., 2023)

An analysis of DOOM level generation using Generative Adversarial Networks. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (Entertain. Comput., 2023)

A Gamified Framework to Assist Therapists with the ABA Therapy for Autism. - Matteo Cordioli; Laura Delfino; Alessia Romani; Elisa Mortini; Pier Luca Lanzi (GEM, 2024)

A Tool for the Procedural Generation of Shaders Using Interactive Evolutionary Algorithms. - Elio Sasso; Daniele Loiacono; Pier Luca Lanzi (GEM, 2024)

Physics Playground: Insights from a Qualitative-Quantitative Study About VR-Based Learning. - Elena Battipede; Antonella Giangualano; Paolo Boffi; Monica Clerici; Alessandro Calvi; Luca Cassenti; Roberto Cialini; Tristan Lieven Annemie Van Den Weghe; Loredana Addimando; Pier Luca Lanzi; Alberto Gallace (IHCI (2), 2024)

Comparing Traditional and Haptic Controllers for Fine-Movement Tasks in Virtual Reality. - Paolo Boffi; Monica Clerici; Giuseppe Mauri; Giulia Meneghin; Alberto Gallace; Pier Luca Lanzi (SeGAH, 2024)

BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments. - Paolo Boffi; Alexandre Kouyoumdjian; Manuela Waldner; Pier Luca Lanzi; Ivan Viola (VR, 2024)

A Study on Real-Time Stress Detection in Virtual Reality Using a Stealth Game. - Susanna Brambilla; Sadra Heidary Moghadam; Laura Anna Ripamonti; Pier Luca Lanzi (CoG, 2025)

An Approach to Analyze Niche Evolution in XCS Models. - Pier Luca Lanzi (CoRR, 2025)