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Pier Luca Lanzi
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- affiliation: Polytechnic University of Milan, Italy
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2020 – today
- 2024
- [c138]Matteo Cordioli, Laura Delfino, Alessia Romani, Elisa Mortini, Pier Luca Lanzi
:
A Gamified Framework to Assist Therapists with the ABA Therapy for Autism. GEM 2024: 1-6 - [c137]Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
A Tool for the Procedural Generation of Shaders Using Interactive Evolutionary Algorithms. GEM 2024: 1-4 - [c136]Paolo Boffi, Monica Clerici, Giuseppe Mauri, Giulia Meneghin, Alberto Gallace, Pier Luca Lanzi:
Comparing Traditional and Haptic Controllers for Fine-Movement Tasks in Virtual Reality. SeGAH 2024: 1-8 - [c135]Paolo Boffi
BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments. VR 2024: 913-923 - [i14]Matteo Cordioli, Laura Delfino, Alessia Romani, Elisa Mortini, Pier Luca Lanzi:
A Gamified Framework to Assist Therapists with the ABA Therapy for Autism. CoRR abs/2401.00200 (2024) - 2023
- [j42]Paolo Boffi
An educational experience in ancient Rome to evaluate the impact of virtual reality on human learning processes. Comput. Educ. X Real. 2: 100014 (2023) - [j41]Edoardo Giacomello
An analysis of DOOM level generation using Generative Adversarial Networks. Entertain. Comput. 46: 100549 (2023) - [j40]Erica Stella, Isabella Agosti, Nicoletta Di Blas, Marco Finazzi, Pier Luca Lanzi
A virtual reality classroom to teach and explore crystal solid state structures. Multim. Tools Appl. 82(5): 6993-7016 (2023) - [c134]Pier Luca Lanzi
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. GECCO 2023: 1383-1390 - [i13]Pier Luca Lanzi, Daniele Loiacono:
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. CoRR abs/2303.02155 (2023) - [i12]Elio Sasso, Daniele Loiacono, Pier Luca Lanzi:
A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms. CoRR abs/2312.17587 (2023) - 2022
- [j39]Mattia Crippa, Pier Luca Lanzi
An analysis of Single-Player Monte Carlo Tree Search performance in Sokoban. Expert Syst. Appl. 192: 116224 (2022) - [c133]Paola Mussida, Pier Luca Lanzi
A computational tool for engineer dropout prediction. EDUCON 2022: 1571-1576 - [c132]Monica Clerici, Paolo Boffi
One day in a Roman Domus: Human Factors and Educational Properties Involved in a Virtual Heritage Application. ISMAR Adjunct 2022: 692-697 - [c131]Eleonora Chitti
Evaluation of the V-Arcade serious games framework to support upper limbs rehabilitation at home for children with Juvenile Idiopathic Arthritis. SeGAH 2022: 1-6 - [i11]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, Christian Costanza, Tommaso Grilli, Sumero Lira, Luca Marchetti, Giulia Olivares, Barbara Pagano, Davide Pons, Michele Pirovano, Valentina Tosto:
One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design. CoRR abs/2207.03827 (2022) - 2021
- [c130]Francesco Venco, Pier Luca Lanzi
An Agent-Based Approach for Procedural Puzzle Generation in Graph-Based Maps. CoG 2021: 1-8 - [c129]Edoardo Giacomello, Pier Luca Lanzi
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. IJCNN 2021: 1-8 - [c128]Eleonora Chitti
V-Arcade: design and development of a serious games framework to support the upper limbs rehabilitation. SEGAH 2021: 1-8 - [i10]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano:
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. CoRR abs/2105.02966 (2021) - [i9]Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi:
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. CoRR abs/2110.01474 (2021) - 2020
- [j38]Camilla Colombo, Nicoletta Di Blas, Ioannis Gkolias
An Educational Experience to Raise Awareness About Space Debris. IEEE Access 8: 85162-85178 (2020) - [c127]Fabrizia Corona, Alex De Vita, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi
Lower Limb Rehabilitation in Juvenile Idiopathic Arthritis using Serious Games. CoG 2020: 336-343 - [c126]Pier Luca Lanzi
Asking Students to Do All the Work: An Analysis of a Fully Peer-Assessed Course on Game Design and Development. FDG 2020: 94:1-94:10 - [c125]Umberto Picariello, Daniele Loiacono, Fabio Mosca, Pier Luca Lanzi
A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. SSCI 2020: 2365-2372 - [i8]Fabrizia Corona, Alex De Vita, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Lower Limb Rehabilitation in Juvenile Idiopathic Arthritis using Serious Games. CoRR abs/2006.02187 (2020)
2010 – 2019
- 2019
- [c124]Edoardo Giacomello
Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. CoG 2019: 1-8 - [c123]Pier Luca Lanzi
Evaluating the Complexity of Players' Strategies using MCTS Iterations. CoG 2019: 1-8 - [c122]Luca Favano, Mark J. Carman, Pier Luca Lanzi:
TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge. CLEF (Working Notes) 2019 - 2018
- [j37]Stefano Di Palma, Pier Luca Lanzi
Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. IEEE Trans. Games 10(3): 317-332 (2018) - [c121]Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono
An Integrated Framework for AI Assisted Level Design in 2D Platformers. GEM 2018: 1-9 - [c120]Fabrizia Corona, Rocco M. Chiuri, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. GEM 2018: 35-42 - [c119]Edoardo Giacomello
DOOM Level Generation Using Generative Adversarial Networks. GEM 2018: 316-323 - [i7]Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono:
An Integrated Framework for AI Assisted Level Design in 2D Platformers. CoRR abs/1804.09153 (2018) - [i6]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono:
DOOM Level Generation using Generative Adversarial Networks. CoRR abs/1804.09154 (2018) - [i5]Fabrizia Corona, Rocco M. Chiuri, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. CoRR abs/1805.00901 (2018) - [i4]Stefano Di Palma, Pier Luca Lanzi:
Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. CoRR abs/1807.06813 (2018) - 2017
- [r2]Pier Luca Lanzi:
Classifier Systems. Encyclopedia of Machine Learning and Data Mining 2017: 217-224 - 2016
- [j36]Michele Pirovano, Elif Sürer
Exergaming and rehabilitation: A methodology for the design of effective and safe therapeutic exergames. Entertain. Comput. 14: 55-65 (2016) - [j35]Gerard David Howard, Larry Bull, Pier Luca Lanzi
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. Neural Process. Lett. 44(1): 125-147 (2016) - [j34]Michele Pirovano, Renato Mainetti
Intelligent Game Engine for Rehabilitation (IGER). IEEE Trans. Comput. Intell. AI Games 8(1): 43-55 (2016) - 2015
- [j33]Luigi Cardamone, Pier Luca Lanzi
TrackGen: An interactive track generator for TORCS and Speed-Dreams. Appl. Soft Comput. 28: 550-558 (2015) - [j32]Masaya Nakata, Pier Luca Lanzi
Rule reduction by selection strategy in XCS with adaptive action map. Evol. Intell. 8(2-3): 71-87 (2015) - [j31]Pier Luca Lanzi
XCSF with tile coding in discontinuous action-value landscapes. Evol. Intell. 8(2-3): 117-132 (2015) - [c118]Masaya Nakata, Pier Luca Lanzi
How should Learning Classifier Systems cover a state-action space? CEC 2015: 3012-3019 - [c117]Alice Cancer
Rhythmic Reading Training (RRT) - A Computer-Assisted Intervention Program for Dyslexia. MindCare 2015: 249-258 - [p3]Nunzio Alberto Borghese, Pier Luca Lanzi, Renato Mainetti
Algorithms Based on Computational Intelligence for Autonomous Physical Rehabilitation at Home. Advances in Neural Networks 2015: 243-251 - [i3]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. CoRR abs/1508.07700 (2015) - 2014
- [j30]Michele Pirovano, Pier Luca Lanzi
Fuzzy Tactics: A scripting game that leverages fuzzy logic as an engaging game mechanic. Expert Syst. Appl. 41(13): 6029-6038 (2014) - [c116]Luca Galli, Pier Luca Lanzi
Applying data mining to extract design patterns from Unreal Tournament levels. CIG 2014: 1-8 - [c115]Pier Luca Lanzi
Evolving maps for match balancing in first person shooters. CIG 2014: 1-8 - [c114]Pier Luca Lanzi:
Learning classifier systems: a gentle introduction. GECCO (Companion) 2014: 407-430 - [c113]Masaya Nakata, Pier Luca Lanzi
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO 2014: 557-564 - [c112]Matteo Hessel, Fabio Ortalli, Francesco Borgatelli, Pier Luca Lanzi:
Automatic Tuning of Computational Models. SIMULTECH (Selected Papers) 2014: 43-64 - 2013
- [j29]Luigi Cardamone, Pier Luca Lanzi
Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. Expert Syst. Appl. 40(16): 6447-6458 (2013) - [c111]Fabrizio Ferrandi
Ant Colony Optimization for mapping, scheduling and placing in reconfigurable systems. AHS 2013: 47-54 - [c110]Masaya Nakata, Pier Luca Lanzi
Simple compact genetic algorithm for XCS. IEEE Congress on Evolutionary Computation 2013: 1718-1723 - [c109]Pier Luca Lanzi
Tuning mobile game design using data mining. IGIC 2013: 122-129 - [c108]Michele Pirovano, Pier Luca Lanzi
The design of a comprehensive game engine for rehabilitation. IGIC 2013: 209-215 - [c107]Masaya Nakata, Pier Luca Lanzi
Selection strategy for XCS with adaptive action mapping. GECCO 2013: 1085-1092 - [c106]Michele Pirovano, Pier Luca Lanzi
IGER: A Game Engine Specifically Tailored to Rehabilitation. GFHEU 2013: 85-98 - [c105]Michele Pirovano, Carl Yuheng Ren, Iuri Frosio
Robust Silhouette Extraction from Kinect Data. ICIAP (1) 2013: 642-651 - [c104]N. Alberto Borghese, Renato Mainetti
An intelligent game engine for the at-home rehabilitation of stroke patients. SeGAH 2013: 1-8 - [p2]Julian Togelius, Alex J. Champandard, Pier Luca Lanzi
Procedural Content Generation: Goals, Challenges and Actionable Steps. Artificial and Computational Intelligence in Games 2013: 61-75 - [i2]Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi:
Simulated Car Racing Championship: Competition Software Manual. CoRR abs/1304.1672 (2013) - 2012
- [j28]Le Hoang Son, Bui Cong Cuong, Pier Luca Lanzi, Nguyen Tho Thong:
A novel intuitionistic fuzzy clustering method for geo-demographic analysis. Expert Syst. Appl. 39(10): 9848-9859 (2012) - [c103]Matteo Botta, Vincenzo Gautieri, Daniele Loiacono
Evolving the optimal racing line in a high-end racing game. CIG 2012: 108-115 - [c102]Michele Pirovano, Renato Mainetti
Self-adaptive games for rehabilitation at home. CIG 2012: 179-186 - [c101]Martin Pelikan
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) 2012: 173-183 - [c100]Masaya Nakata, Pier Luca Lanzi
Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) 2012: 256-265 - [c99]Masaya Nakata, Pier Luca Lanzi
XCS with Adaptive Action Mapping. SEAL 2012: 138-147 - [c98]N. Alberto Borghese, Michele Pirovano, Renato Mainetti
An integrated low-cost system for at-home rehabilitation. VSMM 2012: 553-556 - [i1]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Spiking Neural Learning Classifier System. CoRR abs/1201.3249 (2012) - 2011
- [j27]Daniele Loiacono
Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. IEEE Trans. Comput. Intell. AI Games 3(3): 245-259 (2011) - [c97]Luigi Cardamone, Antonio Caiazzo, Daniele Loiacono
Transfer of driving behaviors across different racing games. CIG 2011: 227-234 - [c96]Luca Galli, Daniele Loiacono
A cheating detection framework for Unreal Tournament III: A machine learning approach. CIG 2011: 266-272 - [c95]Luigi Cardamone, Georgios N. Yannakakis
Evolving Interesting Maps for a First Person Shooter. EvoApplications (1) 2011: 63-72 - [c94]Luigi Cardamone, Daniele Loiacono
Interactive evolution for the procedural generation of tracks in a high-end racing game. GECCO 2011: 395-402 - [e14]Natalio Krasnogor, Pier Luca Lanzi:
13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Proceedings, Dublin, Ireland, July 12-16, 2011. ACM 2011, ISBN 978-1-4503-0557-0 [contents] - [e13]Natalio Krasnogor, Pier Luca Lanzi:
13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011. ACM 2011, ISBN 978-1-4503-0690-4 [contents] - 2010
- [j26]Pier Luca Lanzi, David Robles Contreras, Luigi Cardamone:
IEEE CIG 2009 Conference Report [Conference Report]. IEEE Comput. Intell. Mag. 5(2): 20-22 (2010) - [j25]Fabrizio Ferrandi
Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(6): 911-924 (2010) - [j24]Daniele Loiacono
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2(2): 131-147 (2010) - [j23]Luigi Cardamone, Daniele Loiacono
Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. IEEE Trans. Comput. Intell. AI Games 2(3): 176-190 (2010) - [c93]Cristiana Bolchini
A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c92]Luigi Cardamone, Daniele Loiacono
Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c91]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c90]Daniele Loiacono
Learning to overtake in TORCS using simple reinforcement learning. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c89]Matteo Miraz, Pier Luca Lanzi
Improving evolutionary testing by means of efficiency enhancement techniques. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c88]Enrique Onieva
Overtaking opponents with blocking strategies using fuzzy logic. CIG 2010: 123-130 - [c87]Luigi Cardamone, Daniele Loiacono
Searching for the optimal racing line using genetic algorithms. CIG 2010: 388-394 - [c86]Marco Ceriani, Fabrizio Ferrandi
Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. GECCO 2010: 1267-1274 - [c85]Luciano Baresi
TestFul: An Evolutionary Test Approach for Java. ICST 2010: 185-194 - [r1]Pier Luca Lanzi
Classifier Systems. Encyclopedia of Machine Learning 2010: 172-178
2000 – 2009
- 2009
- [j22]Martin V. Butz
Sequential problems that test generalization in learning classifier systems. Evol. Intell. 2(3): 141-147 (2009) - [j21]Larry Bull, Pier Luca Lanzi:
Introduction to the special issue on learning classifier systems. Nat. Comput. 8(1): 1-2 (2009) - [j20]Albert Orriols-Puig, Ester Bernadó-Mansilla
Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. 13(5): 1093-1119 (2009) - [c84]Gabriele Giarratana, Marco Pizzera, Marco Masseroli, Enzo Medico
Data Mining Techniques for the Identification of Genes with Expression Levels Related to Breast Cancer Prognosis. BIBE 2009: 295-300 - [c83]Luigi Cardamone, Daniele Loiacono
On-line neuroevolution applied to The Open Racing Car Simulator. IEEE Congress on Evolutionary Computation 2009: 2622-2629 - [c82]Filippo Galgani, Yiwen Sun, Pier Luca Lanzi
Automatic analysis of eye tracking data for medical diagnosis. CIDM 2009: 195-202 - [c81]Luigi Cardamone, Daniele Loiacono
Learning drivers for TORCS through imitation using supervised methods. CIG 2009: 148-155 - [c80]Luca Galli, Daniele Loiacono
Learning a context-aware weapon selection policy for Unreal Tournament III. CIG 2009: 310-316 - [c79]Daniele Loiacono, Julian Togelius, Pier Luca Lanzi:
Simulated car racing. CIG 2009 - [c78]Antonino Tumeo
Mapping pipelined applications onto heterogeneous embedded systems: a bayesian optimization algorithm based approach. CODES+ISSS 2009: 443-452 - [c77]Luigi Cardamone, Daniele Loiacono
Evolving competitive car controllers for racing games with neuroevolution. GECCO 2009: 1179-1186 - [c76]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. GECCO 2009: 1219-1226 - [c75]Marco Branca, Lorenzo Camerini, Fabrizio Ferrandi
Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. GECCO 2009: 1435-1442 - [c74]Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
TestFul: using a hybrid evolutionary algorithm for testing stateful systems. GECCO 2009: 1947-1948 - [c73]Pier Luca Lanzi:
Learning classifier systems. GECCO (Companion) 2009: 2853-2878 - [c72]Pier Luca Lanzi
Speeding Up Matching in Learning Classifier Systems Using CUDA. IWLCS 2009: 1-20 - [c71]Daniele Loiacono
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems. IWLCS 2009: 70-86 - [c70]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Use of a Connection-Selection Scheme in Neural XCSF. IWLCS 2009: 87-106 - [e12]Pier Luca Lanzi:
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, CIG 2009, Milano, Italy, 7-10 September, 2009. IEEE 2009, ISBN 978-1-4244-4814-2 [contents] - 2008
- [j19]Pier Luca Lanzi
Learning classifier systems: then and now. Evol. Intell. 1(1): 63-82 (2008) - [j18]Christian Pilato
Improving evolutionary exploration to area-time optimization of FPGA designs. J. Syst. Archit. 54(11): 1046-1057 (2008) - [j17]Martin V. Butz, Pier Luca Lanzi
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evol. Comput. 12(3): 355-376 (2008) - [c69]Christian Pilato
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. IEEE Congress on Evolutionary Computation 2008: 3334-3341 - [c68]Daniele Loiacono
Computed prediction in binary multistep problems. IEEE Congress on Evolutionary Computation 2008: 3350-3357 - [c67]Pier Luca Lanzi, Daniele Loiacono
Evolving classifier ensembles with voting predictors. IEEE Congress on Evolutionary Computation 2008: 3760-3767 - [c66]Daniele Loiacono
The WCCI 2008 simulated car racing competition. CIG 2008: 119-126 - [c65]Daniele Loiacono
Tile Coding Based on Hyperplane Tiles. EWRL 2008: 179-190 - [c64]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono:
An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356 - [c63]Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi:
Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372 - [c62]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF. GECCO 2008: 1389-1396 - [c61]Daniele Loiacono, Pier Luca Lanzi:
Recursive least squares and quadratic prediction in continuous multistep problems. GECCO (Companion) 2008: 1985-1992 - [c60]Fabrizio Ferrandi
A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. ISVLSI 2008: 417-422 - [c59]Antonino Tumeo
Ant colony optimization for mapping and scheduling in heterogeneous multiprocessor systems. ICSAMOS 2008: 142-149 - [p1]Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg:
Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation 2008: 335-358 - 2007
- [j16]Pier Luca Lanzi
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. 15(2): 133-168 (2007) - [j15]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. 8(1): 5-37 (2007) - [j14]Stefano Ceri, Cristiana Bolchini
Data and web management research at Politecnico di Milano. SIGMOD Rec. 36(4): 43-48 (2007) - [j13]Stefano Ceri, Francesco Di Giunta, Pier Luca Lanzi
Mining constraint violations. ACM Trans. Database Syst. 32(1): 6 (2007) - [c58]Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez:
A Simple Real-Coded Extended Compact Genetic Algorithm. IEEE Congress on Evolutionary Computation 2007: 342-348 - [c57]Larry Bull, Toby O'Hara, Pier Luca Lanzi
Anticipation mappings for learning classifier systems. IEEE Congress on Evolutionary Computation 2007: 2133-2140 - [c56]Daniele Loiacono
Support vector machines for computing action mappings in learning classifier systems. IEEE Congress on Evolutionary Computation 2007: 2141-2148 - [c55]Pier Luca Lanzi
An analysis of generalization in XCS with symbolic conditions. IEEE Congress on Evolutionary Computation 2007: 2149-2156 - [c54]Christian Pilato
Fitness inheritance in evolutionary and multi-objective high-level synthesis. IEEE Congress on Evolutionary Computation 2007: 3459-3466 - [c53]Daniele Loiacono
Support vector regression for classifier prediction. GECCO 2007: 1806-1813 - [c52]Pier Luca Lanzi, Martin V. Butz, David E. Goldberg:
Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821 - [c51]Pier Luca Lanzi, Daniele Loiacono
Classifier systems that compute action mappings. GECCO 2007: 1822-1829 - [c50]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 - [c49]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 - [c48]Pier Luca Lanzi
Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. IWLCS 2007: 22-45 - [c47]Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi:
Analysis and Improvements of the Classifier Error Estimate in XCSF. IWLCS 2007: 117-135 - [c46]Pier Luca Lanzi
Evolving Classifiers Ensembles with Heterogeneous Predictors. IWLCS 2007: 218-234 - [c45]Fabrizio Ferrandi
An Evolutionary Approach to Area-Time Optimization of FPGA designs. ICSAMOS 2007: 145-152 - [e11]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. Lecture Notes in Computer Science 4399, Springer 2007, ISBN 978-3-540-71230-5 [contents] - 2006
- [j12]Cristiana Bolchini
Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAs. J. Syst. Archit. 52(8-9): 516-533 (2006) - [c44]Pier Luca Lanzi, Daniele Loiacono:
XCSF with Neural Prediction. IEEE Congress on Evolutionary Computation 2006: 2270-2276 - [c43]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464 - [c42]Pier Luca Lanzi, Stewart W. Wilson:
Using convex hulls to represent classifier conditions. GECCO 2006: 1481-1488 - [c41]Pier Luca Lanzi, Daniele Loiacono:
Standard and averaging reinforcement learning in XCS. GECCO 2006: 1489-1496 - [c40]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Classifier prediction based on tile coding. GECCO 2006: 1497-1504 - [c39]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 - [c38]Tiziana Gravagnoli, Fabrizio Ferrandi
Automatic Test Pattern Generation with BOA. PPSN 2006: 423-432 - 2005
- [j11]Federico Michele Facca
Mining interesting knowledge from weblogs: a survey. Data Knowl. Eng. 53(3): 225-241 (2005) - [j10]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evol. Comput. 9(5): 452-473 (2005) - [c37]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 - [c36]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 - [c35]Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi
Toward an FPGA implementation of XCS. Congress on Evolutionary Computation 2005: 2053-2060 - [c34]Daniele Loiacono, Pier Luca Lanzi:
Improving generalization in the XCSF classifier system using linear least-squares. GECCO Workshops 2005: 374-377 - [c33]Pier Luca Lanzi, Daniele Loiacono
Extending XCSF beyond linear approximation. GECCO 2005: 1827-1834 - [c32]Pier Luca Lanzi, Daniele Loiacono
XCS with computed prediction in multistep environments. GECCO 2005: 1859-1866 - [c31]Martin V. Butz
Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114 - 2004
- [j9]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) - [j8]Martin V. Butz, Tim Kovacs, Pier Luca Lanzi
Toward a theory of generalization and learning in XCS. IEEE Trans. Evol. Comput. 8(1): 28-46 (2004) - [c30]Rosa Meo
Employing Inductive Databases in Concrete Applications. Constraint-Based Mining and Inductive Databases 2004: 295-327 - [c29]Fabrizio Ferrandi
System-level metrics for hardware/software architectural mapping. DELTA 2004: 231-236 - [c28]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Bounding Learning Time in XCS. GECCO (2) 2004: 739-750 - [c27]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762 - [c26]Fabrizio Ferrandi
System Level Hardware-Software Design Exploration with XCS. GECCO (2) 2004: 763-773 - [c25]Pier Luca Lanzi, Maristella Matera, Andrea Maurino:
A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application Quality. ICWE 2004: 50-54 - [c24]Rosa Meo
Integrating Web Conceptual Modeling and Web Usage Mining. WebKDD 2004: 135-148 - [c23]Martin V. Butz, Pier Luca Lanzi
Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060 - [c22]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 - [e10]Rosa Meo, Pier Luca Lanzi, Mika Klemettinen:
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries. Lecture Notes in Computer Science 2682, Springer 2004, ISBN 3-540-22479-3 [contents] - [e9]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. Lecture Notes in Computer Science 3102, Springer 2004, ISBN 3-540-22344-4 [contents] - [e8]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. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6 [contents] - 2003
- [j7]Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Editorial Introduction - Learning Classifier Systems. Evol. Comput. 11(3): iii-iv (2003) - [c21]Pier Luca Lanzi
A comparison of relative accuracy and raw accuracy in XCS. IEEE Congress on Evolutionary Computation 2003: 1123-1129 - [c20]Pier Luca Lanzi
XCS with stack-based genetic programming. IEEE Congress on Evolutionary Computation 2003: 1186-1191 - [c19]Fabrizio Ferrandi
Mining interesting patterns from hardware-software codesign data with the learning classifier system XCS. IEEE Congress on Evolutionary Computation 2003: 1486-1492 - [c18]Federico Michele Facca
Recent Developments in Web Usage Mining Research. DaWaK 2003: 140-150 - [c17]Pier Luca Lanzi
Estimating Classifier Generalization and Action's Effect: A Minimalist Approach. GECCO 2003: 1894-1905 - [c16]Pier Luca Lanzi:
Using Raw Accuracy to Estimate Classifier Fitness in XCS. GECCO 2003: 1922-1923 - [c15]Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi:
Discovering Interesting Information in XML Data with Association Rules. SAC 2003: 450-454 - [c14]Pietro Di Gianantonio
Lazy Algorithms for Exact Real Arithmetic. COMETA 2003: 113-128 - [e7]Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Learning Classifier Systems, 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers. Lecture Notes in Computer Science 2661, Springer 2003, ISBN 3-540-20544-6 [contents] - 2002
- [j6]John H. Holmes, Pier Luca Lanzi
Learning classifier systems: New models, successful applications. Inf. Process. Lett. 82(1): 23-30 (2002) - [j5]Pier Luca Lanzi, Alessandro Strada:
A statistical analysis of the trading agent competition 2001. SIGecom Exch. 3(2): 1-8 (2002) - [j4]Larry Bull, Pier Luca Lanzi, Wolfgang Stolzmann:
Learning Classifier Systems. Soft Comput. 6(3-4): 143 (2002) - [j3]Pier Luca Lanzi:
Learning classifier systems from a reinforcement learning perspective. Soft Comput. 6(3-4): 162-170 (2002) - [c13]Daniele Braga, Alessandro Campi
Mining Association Rules from XML Data. DaWaK 2002: 21-30 - [c12]Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, Pier Luca Lanzi:
A Tool for Extracting XML Association Rules. ICTAI 2002: 57- - [e6]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. Lecture Notes in Computer Science 2321, Springer 2002, ISBN 3-540-43793-2 [contents] - 2001
- [e5]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. Lecture Notes in Computer Science 2038, Springer 2001, ISBN 3-540-41899-7 [contents] - [e4]Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni
Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings. Lecture Notes in Computer Science 2037, Springer 2001, ISBN 3-540-41920-9 [contents] - [e3]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. Lecture Notes in Computer Science 1996, Springer 2001, ISBN 3-540-42437-7 [contents] - 2000
- [j2]Pier Luca Lanzi
Toward Optimal Classifier System Performance in Non-Markov Environments. Evol. Comput. 8(4): 393-418 (2000) - [c11]Tim Kovacs, Pier Luca Lanzi
A Bigger Learning Classifier Systems Bibliography. IWLCS 2000: 213-252 - [c10]Giuseppe Psaila
Hierarchy-based Mining of Association Rules in Data Warehouses. SAC (1) 2000: 307-312 - [c9]Giuseppe Psaila, Pier Luca Lanzi:
Hierarchy exploitation in data warehouses for mining association rules. SEBD 2000: 243-256 - [e2]Stefano Cagnoni
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000, Proceedings. Lecture Notes in Computer Science 1803, Springer 2000, ISBN 3-540-67353-9 [contents] - [e1]Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Learning Classifier Systems, From Foundations to Applications. Lecture Notes in Computer Science 1813, Springer 2000, ISBN 3-540-67729-1 [contents]
1990 – 1999
- 1999
- [j1]Pier Luca Lanzi
An Analysis of Generalization in the XCS Classifier System. Evol. Comput. 7(2): 125-149 (1999) - [c8]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 - [c7]Pier Luca Lanzi, Rick L. Riolo:
A Roadmap to the Last Decade of Learning Classifier System Research. Learning Classifier Systems 1999: 33-62 - [c6]Tim Kovacs, Pier Luca Lanzi:
A Learning Classifier Systems Bibliography. Learning Classifier Systems 1999: 321-348 - [c5]Pier Luca Lanzi, Giuseppe Psaila:
A Relational Database Mining Framework with Classification and Discretization. SEBD 1999: 101-115 - 1998
- [c4]Pier Luca Lanzi:
Generalization in Wilson's Classifier System. PPSN 1998: 501-510 - 1997
- [c3]Pier Luca Lanzi:
A Study of the Generalization Capabilities of XCS. ICGA 1997: 418-425 - 1996
- [c2]Marco Richeldi, Pier Luca Lanzi
ADHOC: a Tool for Performing Effective Feature Selection. ICTAI 1996: 102-105 - [c1]Marco Richeldi, Pier Luca Lanzi:
Performing Effective Feature Selection by Investigating the Deep Structure of the Data. KDD 1996: 379-383
Coauthor Index
N. Alberto Borghese
aka: Nunzio Alberto Borghese
aka: Nunzio Alberto Borghese
[c137] [j41] [j40] [c134] [i13] [i12] [i11] [c129] [i10] [i9] [j38] [c126] [c125] [c124] [c121] [c119] [i7] [i6] [j33] [j31] [c116] [c115] [j29] [c109] [i2] [c103] [j27] [c97] [c96] [c94] [j24] [j23] [c92] [c90] [c88] [c87] [c83] [c81] [c80] [c79] [c77] [c72] [c71] [c69] [c68] [c67] [c66] [c65] [c64] [c61] [c60] [j16] [c56] [c53] [c51] [c47] [c46] [c44] [c41] [c40] [c39] [c37] [c36] [c34] [c33] [c32]
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