| 2026 | GECCO | On the Implementation of Tournament Selection in XCS. | Pier Luca Lanzi |
| 2025 | GECCO | A Proposal for a Leaner Narrative of Learning Classifier Systems. | Pier Luca Lanzi, Daniele Loiacono |
| 2025 | IJCNN | A Deep Reinforcement Learning Agent for Sound-Based Fighting Games. | Yan Zhuang, Daniele Loiacono, Pier Luca Lanzi |
| 2024 | VR | 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 |
| 2023 | GECCO | ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. | Pier Luca Lanzi, Daniele Loiacono |
| 2022 | EDUCON | A computational tool for engineer dropout prediction. | Paola Mussida, Pier Luca Lanzi |
| 2022 | ISMAR | 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 |
| 2021 | IJCNN | Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. | Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano |
| 2020 | FDG | 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 |
| 2015 | CEC | How should Learning Classifier Systems cover a state-action space? | Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama |
| 2014 | GECCO | Learning classifier systems: a gentle introduction. | Pier Luca Lanzi |
| 2014 | GECCO | Complete action map or best action map in accuracy-based reinforcement learning classifier systems. | Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama |
| 2014 | SIMULTECH | Automatic Tuning of Computational Models. | Matteo Hessel, Fabio Ortalli, Francesco Borgatelli, Pier Luca Lanzi |
| 2013 | CEC | Simple compact genetic algorithm for XCS. | Masaya Nakata, Pier Luca Lanzi, Keiki Takadama |
| 2013 | GECCO | Selection strategy for XCS with adaptive action mapping. | Masaya Nakata, Pier Luca Lanzi, Keiki Takadama |
| 2013 | ICIAP | Robust Silhouette Extraction from Kinect Data. | Michele Pirovano, Carl Yuheng Ren, Iuri Frosio, Pier Luca Lanzi, Victor Adrian Prisacariu, David William Murray, N. Alberto Borghese |
| 2012 | PPSN | Enhancing Learning Capabilities by XCS with Best Action Mapping. | Masaya Nakata, Pier Luca Lanzi, Keiki Takadama |
| 2012 | PPSN | Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. | Martin Pelikan, Mark Hauschild, Pier Luca Lanzi |
| 2011 | GECCO | Interactive evolution for the procedural generation of tracks in a high-end racing game. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2010 | CEC | A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. | Cristiana Bolchini, Pier Luca Lanzi, Antonio Miele |
| 2010 | CEC | Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2010 | CEC | A spiking neural representation for XCSF. | Gerard David Howard, Larry Bull, Pier Luca Lanzi |
| 2010 | CEC | Learning to overtake in TORCS using simple reinforcement learning. | Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone |
| 2010 | CEC | Improving evolutionary testing by means of efficiency enhancement techniques. | Matteo Miraz, Pier Luca Lanzi, Luciano Baresi |
| 2010 | GECCO | Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. | Marco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Antonino Tumeo |
| 2010 | ICST | TestFul: An Evolutionary Test Approach for Java. | Luciano Baresi, Pier Luca Lanzi, Matteo Miraz |
| 2009 | BIBE | 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 |
| 2009 | CEC | On-line neuroevolution applied to The Open Racing Car Simulator. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2009 | CIDM | Automatic analysis of eye tracking data for medical diagnosis. | Filippo Galgani, Yiwen Sun, Pier Luca Lanzi, Jason Leigh |
| 2009 | GECCO | 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 |
| 2009 | GECCO | Evolving competitive car controllers for racing games with neuroevolution. | Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi |
| 2009 | GECCO | Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. | Gerard David Howard, Larry Bull, Pier Luca Lanzi |
| 2009 | GECCO | Learning classifier systems. | Pier Luca Lanzi |
| 2009 | GECCO | TestFul: using a hybrid evolutionary algorithm for testing stateful systems. | Matteo Miraz, Pier Luca Lanzi, Luciano Baresi |
| 2008 | CEC | Evolving classifier ensembles with voting predictors. | Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini |
| 2008 | CEC | Computed prediction in binary multistep problems. | Daniele Loiacono, Pier Luca Lanzi |
| 2008 | CEC | High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. | Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto |
| 2008 | GECCO | An analysis of matching in learning classifier systems. | Martin V. Butz, Pier Luca Lanzi, Xavier Llor, Daniele Loiacono |
| 2008 | GECCO | Self-adaptive mutation in XCSF. | Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi |
| 2008 | GECCO | Self-adaptive constructivism in Neural XCS and XCSF. | Gerard David Howard, Larry Bull, Pier Luca Lanzi |
| 2008 | GECCO | Recursive least squares and quadratic prediction in continuous multistep problems. | Daniele Loiacono, Pier Luca Lanzi |
| 2007 | CEC | Anticipation mappings for learning classifier systems. | Larry Bull, Toby O'Hara, Pier Luca Lanzi |
| 2007 | CEC | A Simple Real-Coded Extended Compact Genetic Algorithm. | Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gmez |
| 2007 | CEC | An analysis of generalization in XCS with symbolic conditions. | Pier Luca Lanzi |
| 2007 | CEC | Support vector machines for computing action mappings in learning classifier systems. | Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi |
| 2007 | CEC | Fitness inheritance in evolutionary and multi-objective high-level synthesis. | Christian Pilato, Gianluca Palermo, Antonino Tumeo, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi |
| 2007 | GECCO | Empirical analysis of generalization and learning in XCS with gradient descent. | Pier Luca Lanzi, Martin V. Butz, David E. Goldberg |
| 2007 | GECCO | Classifier systems that compute action mappings. | Pier Luca Lanzi, Daniele Loiacono |
| 2007 | GECCO | An approach to analyze the evolution of symbolic conditions in learning classifier systems. | Pier Luca Lanzi, Stefano Rocca, Stefania Solari |
| 2007 | GECCO | Support vector regression for classifier prediction. | Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi |
| 2007 | GECCO | Modeling selection pressure in XCS for proportionate and tournament selection. | Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernad-Mansilla |
| 2006 | CEC | XCSF with Neural Prediction. | Pier Luca Lanzi, Daniele Loiacono |
| 2006 | GECCO | Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. | Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson |
| 2006 | GECCO | Standard and averaging reinforcement learning in XCS. | Pier Luca Lanzi, Daniele Loiacono |
| 2006 | GECCO | Classifier prediction based on tile coding. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2006 | GECCO | Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2006 | GECCO | Using convex hulls to represent classifier conditions. | Pier Luca Lanzi, Stewart W. Wilson |
| 2006 | PPSN | Automatic Test Pattern Generation with BOA. | Tiziana Gravagnoli, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto |
| 2005 | CEC | Toward an FPGA implementation of XCS. | Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice |
| 2005 | CEC | XCS with computed prediction for the learning of Boolean functions. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | CEC | XCS with computed prediction in continuous multistep environments. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | Extending XCSF beyond linear approximation. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | XCS with computed prediction in multistep environments. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | Improving generalization in the XCSF classifier system using linear least-squares. | Daniele Loiacono, Pier Luca Lanzi |
| 2004 | GECCO | Bounding Learning Time in XCS. | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
| 2004 | GECCO | Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
| 2004 | GECCO | System Level Hardware-Software Design Exploration with XCS. | Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto |
| 2004 | ICWE | A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application Quality. | Pier Luca Lanzi, Maristella Matera, Andrea Maurino |
| 2004 | KDD | Integrating Web Conceptual Modeling and Web Usage Mining. | Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito |
| 2004 | PPSN | Knowledge Extraction and Problem Structure Identification in XCS. | Martin V. Butz, Pier Luca Lanzi, Xavier Llor, David E. Goldberg |
| 2004 | WWW | Exploiting conceptual modeling for web application quality evaluation. | Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea Maurino |
| 2003 | CEC | Mining interesting patterns from hardware-software codesign data with the learning classifier system XCS. | Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto |
| 2003 | CEC | A comparison of relative accuracy and raw accuracy in XCS. | Pier Luca Lanzi |
| 2003 | CEC | XCS with stack-based genetic programming. | Pier Luca Lanzi |
| 2003 | DaWaK | Recent Developments in Web Usage Mining Research. | Federico Michele Facca, Pier Luca Lanzi |
| 2003 | GECCO | Estimating Classifier Generalization and Action's Effect: A Minimalist Approach. | Pier Luca Lanzi |
| 2003 | GECCO | Using Raw Accuracy to Estimate Classifier Fitness in XCS. | Pier Luca Lanzi |
| 2003 | SAC | Discovering Interesting Information in XML Data with Association Rules. | Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi |
| 2002 | DaWaK | Mining Association Rules from XML Data. | Daniele Braga, Alessandro Campi, Mika Klemettinen, Pier Luca Lanzi |
| 2002 | ICTAI | A Tool for Extracting XML Association Rules. | Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi |
| 2000 | SAC | Hierarchy-based Mining of Association Rules in Data Warehouses. | Giuseppe Psaila, Pier Luca Lanzi |
| 1998 | PPSN | Generalization in Wilson's Classifier System. | Pier Luca Lanzi |
| 1997 | ICEC | Fast feature selection with genetic algorithms: a filter approach. | Pier Luca Lanzi |
| 1996 | ICTAI | ADHOC: a Tool for Performing Effective Feature Selection. | Marco Richeldi, Pier Luca Lanzi |
| 1996 | KDD | Performing Effective Feature Selection by Investigating the Deep Structure of the Data. | Marco Richeldi, Pier Luca Lanzi |