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ORCIDPier Luca Lanzi
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- affiliation: Polytechnic University of Milan, Italy
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2020 – today
- 2020
[j39]Camilla Colombo, Nicoletta Di Blas, Ioannis Gkolias, Pier Luca Lanzi
, Daniele Loiacono, Erica Stella:
An Educational Experience to Raise Awareness About Space Debris. IEEE Access 8: 85162-85178 (2020)- [i8]Fabrizia Corona, Alex De Vita, Giovanni Filocamo, Michaela Foa', 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
- [c120]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono:
Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. CoG 2019: 1-8 - [c119]Pier Luca Lanzi:
Evaluating the Complexity of Players' Strategies using MCTS Iterations. CoG 2019: 1-8 - [c118]Luca Favano, Mark J. Carman, Pier Luca Lanzi:
TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge. CLEF (Working Notes) 2019 - 2018
- [j38]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) - [c117]Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono:
An Integrated Framework for AI Assisted Level Design in 2D Platformers. GEM 2018: 1-9 - [c116]Fabrizia Corona, Rocco M. Chiuri, Giovanni Filocamo, Michaela Foa', Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. GEM 2018: 35-42 - [c115]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono:
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 Foa', 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
- [j37]Michele Pirovano, Elif Surer, Renato Mainetti, Pier Luca Lanzi, N. Alberto Borghese:
Exergaming and rehabilitation: A methodology for the design of effective and safe therapeutic exergames. Entertain. Comput. 14: 55-65 (2016) - [j36]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) - [j35]Michele Pirovano, Renato Mainetti, Gabriel Baud-Bovy, Pier Luca Lanzi, N. Alberto Borghese:
Intelligent Game Engine for Rehabilitation (IGER). IEEE Trans. Comput. Intell. AI Games 8(1): 43-55 (2016) - 2015
- [j34]Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono:
TrackGen: An interactive track generator for TORCS and Speed-Dreams. Appl. Soft Comput. 28: 550-558 (2015) - [j33]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Rule reduction by selection strategy in XCS with adaptive action map. Evol. Intell. 8(2-3): 71-87 (2015) - [j32]Pier Luca Lanzi, Daniele Loiacono:
XCSF with tile coding in discontinuous action-value landscapes. Evol. Intell. 8(2-3): 117-132 (2015) - [c114]Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama:
How should Learning Classifier Systems cover a state-action space? CEC 2015: 3012-3019 - [c113]Alice Cancer, Silvia Bonacina, Maria Luisa Lorusso, Pier Luca Lanzi, Alessandro Antonietti:
Rhythmic Reading Training (RRT) - A Computer-Assisted Intervention Program for Dyslexia. MindCare 2015: 249-258 - [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
- [j31]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) - [c112]Luca Galli, Pier Luca Lanzi, Daniele Loiacono:
Applying data mining to extract design patterns from Unreal Tournament levels. CIG 2014: 1-8 - [c111]Pier Luca Lanzi, Daniele Loiacono, Riccardo Stucchi:
Evolving maps for match balancing in first person shooters. CIG 2014: 1-8 - [c110]Pier Luca Lanzi:
Learning classifier systems: a gentle introduction. GECCO (Companion) 2014: 407-430 - [c109]Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama:
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO 2014: 557-564 - [c108]Matteo Hessel, Fabio Ortalli, Francesco Borgatelli, Pier Luca Lanzi:
Automatic Tuning of Computational Models. SIMULTECH (Selected Papers) 2014: 43-64 - 2013
- [j30]Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono, Enrique Onieva:
Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. Expert Syst. Appl. 40(16): 6447-6458 (2013) - [c107]Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Ant Colony Optimization for mapping, scheduling and placing in reconfigurable systems. AHS 2013: 47-54 - [c106]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Simple compact genetic algorithm for XCS. IEEE Congress on Evolutionary Computation 2013: 1718-1723 - [c105]Pier Luca Lanzi, Daniele Loiacono, Emanuele Parini, Federico Sannicoló, Davide Jones, Claudio Scamporlino:
Tuning mobile game design using data mining. IGIC 2013: 122-129 - [c104]Michele Pirovano, Pier Luca Lanzi, Renato Mainetti, N. Alberto Borghese:
The design of a comprehensive game engine for rehabilitation. IGIC 2013: 209-215 - [c103]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Selection strategy for XCS with adaptive action mapping. GECCO 2013: 1085-1092 - [c102]Michele Pirovano, Pier Luca Lanzi, Renato Mainetti, Nunzio Alberto Borghese:
IGER: A Game Engine Specifically Tailored to Rehabilitation. GFHEU 2013: 85-98 - [c101]Michele Pirovano, Carl Yuheng Ren, Iuri Frosio, Pier Luca Lanzi, Victor Adrian Prisacariu, David William Murray, N. Alberto Borghese:
Robust Silhouette Extraction from Kinect Data. ICIAP (1) 2013: 642-651 - [c100]N. Alberto Borghese, Renato Mainetti, Michele Pirovano, Pier Luca Lanzi:
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, Michael Mateas, Ana Paiva, Mike Preuss, Kenneth O. Stanley:
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
- [j29]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) - [c99]Matteo Botta, Vincenzo Gautieri, Daniele Loiacono, Pier Luca Lanzi:
Evolving the optimal racing line in a high-end racing game. CIG 2012: 108-115 - [c98]Michele Pirovano, Renato Mainetti, Gabriel Baud-Bovy, Pier Luca Lanzi, N. Alberto Borghese:
Self-adaptive games for rehabilitation at home. CIG 2012: 179-186 - [c97]Martin Pelikan, Mark Hauschild, Pier Luca Lanzi:
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) 2012: 173-183 - [c96]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) 2012: 256-265 - [c95]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
XCS with Adaptive Action Mapping. SEAL 2012: 138-147 - [c94]N. Alberto Borghese, Michele Pirovano, Renato Mainetti, Pier Luca Lanzi:
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
- [j28]Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi:
Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. IEEE Trans. Comput. Intell. AI Games 3(3): 245-259 (2011) - [c93]Luigi Cardamone, Antonio Caiazzo, Daniele Loiacono, Pier Luca Lanzi:
Transfer of driving behaviors across different racing games. CIG 2011: 227-234 - [c92]Luca Galli, Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi:
A cheating detection framework for Unreal Tournament III: A machine learning approach. CIG 2011: 266-272 - [c91]Luigi Cardamone, Georgios N. Yannakakis, Julian Togelius, Pier Luca Lanzi:
Evolving Interesting Maps for a First Person Shooter. EvoApplications (1) 2011: 63-72 - [c90]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
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
- [j27]Pier Luca Lanzi, David Robles Contreras, Luigi Cardamone:
IEEE CIG 2009 Conference Report [Conference Report]. IEEE Comput. Intell. Mag. 5(2): 20-22 (2010) - [j26]Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems. IEEE Trans. on CAD of Integrated Circuits and Systems 29(6): 911-924 (2010) - [j25]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:
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2(2): 131-147 (2010) - [j24]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. IEEE Trans. Comput. Intell. AI Games 2(3): 176-190 (2010) - [c89]Cristiana Bolchini, Pier Luca Lanzi, Antonio Miele:
A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c88]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c87]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c86]Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone:
Learning to overtake in TORCS using simple reinforcement learning. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c85]Matteo Miraz, Pier Luca Lanzi, Luciano Baresi:
Improving evolutionary testing by means of efficiency enhancement techniques. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c84]Enrique Onieva, Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Overtaking opponents with blocking strategies using fuzzy logic. CIG 2010: 123-130 - [c83]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi, Alessandro Pietro Bardelli:
Searching for the optimal racing line using genetic algorithms. CIG 2010: 388-394 - [c82]Marco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Antonino Tumeo:
Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. GECCO 2010: 1267-1274 - [c81]Luciano Baresi, Pier Luca Lanzi, Matteo Miraz:
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
- [j23]Martin V. Butz, Pier Luca Lanzi:
Sequential problems that test generalization in learning classifier systems. Evol. Intell. 2(3): 141-147 (2009) - [j22]Larry Bull, Pier Luca Lanzi:
Introduction to the special issue on learning classifier systems. Nat. Comput. 8(1): 1-2 (2009) - [j21]Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi:
Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. 13(5): 1093-1119 (2009) - [c80]Gabriele Giarratana, Marco Pizzera, Marco Masseroli, Enzo Medico, Pier Luca Lanzi:
Data Mining Techniques for the Identification of Genes with Expression Levels Related to Breast Cancer Prognosis. BIBE 2009: 295-300 - [c79]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
On-line neuroevolution applied to The Open Racing Car Simulator. IEEE Congress on Evolutionary Computation 2009: 2622-2629 - [c78]Filippo Galgani, Yiwen Sun, Pier Luca Lanzi, Jason Leigh:
Automatic analysis of eye tracking data for medical diagnosis. CIDM 2009: 195-202 - [c77]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Learning drivers for TORCS through imitation using supervised methods. CIG 2009: 148-155 - [c76]Luca Galli, Daniele Loiacono, Pier Luca Lanzi:
Learning a context-aware weapon selection policy for Unreal Tournament III. CIG 2009: 310-316 - [c75]Daniele Loiacono, Julian Togelius, Pier Luca Lanzi:
Simulated car racing. CIG 2009 - [c74]Antonino Tumeo, Marco Branca, Lorenzo Camerini, Christian Pilato, Pier Luca Lanzi, Fabrizio Ferrandi, Donatella Sciuto:
Mapping pipelined applications onto heterogeneous embedded systems: a bayesian optimization algorithm based approach. CODES+ISSS 2009: 443-452 - [c73]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Evolving competitive car controllers for racing games with neuroevolution. GECCO 2009: 1179-1186 - [c72]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 - [c71]Marco Branca, Lorenzo Camerini, Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. GECCO 2009: 1435-1442 - [c70]Matteo Miraz, Pier Luca Lanzi, Luciano Baresi:
TestFul: using a hybrid evolutionary algorithm for testing stateful systems. GECCO 2009: 1947-1948 - [c69]Pier Luca Lanzi:
Learning classifier systems. GECCO (Companion) 2009: 2853-2878 - [c68]Pier Luca Lanzi, Daniele Loiacono:
Speeding Up Matching in Learning Classifier Systems Using CUDA. IWLCS 2009: 1-20 - [c67]Daniele Loiacono, Pier Luca Lanzi:
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems. IWLCS 2009: 70-86 - [c66]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
- [j20]Pier Luca Lanzi:
Learning classifier systems: then and now. Evol. Intell. 1(1): 63-82 (2008) - [j19]Christian Pilato, Antonino Tumeo, Gianluca Palermo, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto:
Improving evolutionary exploration to area-time optimization of FPGA designs. J. Syst. Archit. 54(11): 1046-1057 (2008) - [j18]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evol. Comput. 12(3): 355-376 (2008) - [c65]Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto:
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. IEEE Congress on Evolutionary Computation 2008: 3334-3341 - [c64]Daniele Loiacono, Pier Luca Lanzi:
Computed prediction in binary multistep problems. IEEE Congress on Evolutionary Computation 2008: 3350-3357 - [c63]Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini:
Evolving classifier ensembles with voting predictors. IEEE Congress on Evolutionary Computation 2008: 3760-3767 - [c62]Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez Liebana, Robert G. Reynolds, Yago Sáez:
The WCCI 2008 simulated car racing competition. CIG 2008: 119-126 - [c61]Daniele Loiacono, Pier Luca Lanzi:
Tile Coding Based on Hyperplane Tiles. EWRL 2008: 179-190 - [c60]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono:
An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356 - [c59]Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi:
Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372 - [c58]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF. GECCO 2008: 1389-1396 - [c57]Daniele Loiacono, Pier Luca Lanzi:
Recursive least squares and quadratic prediction in continuous multistep problems. GECCO (Companion) 2008: 1985-1992 - [c56]Fabrizio Ferrandi, Pier Luca Lanzi, Daniele Loiacono, Christian Pilato, Donatella Sciuto:
A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. ISVLSI 2008: 417-422 - [c55]Antonino Tumeo, Christian Pilato, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi:
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
- [j17]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. 15(2): 133-168 (2007) - [j16]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry:
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. 8(1): 5-37 (2007) - [j15]Stefano Ceri, Cristiana Bolchini, Daniele Braga, Marco Brambilla, Alessandro Campi, Sara Comai, Piero Fraternali, Pier Luca Lanzi, Marco Masseroli, Maristella Matera, Mauro Negri, Giuseppe Pelagatti, Giuseppe Pozzi, Elisa Quintarelli, Fabio Alberto Schreiber, Letizia Tanca:
Data and web management research at Politecnico di Milano. SIGMOD Rec. 36(4): 43-48 (2007) - [j14]Stefano Ceri, Francesco Di Giunta, Pier Luca Lanzi:
Mining constraint violations. ACM Trans. Database Syst. 32(1): 6 (2007) - [c54]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 - [c53]Larry Bull, Toby O'Hara, Pier Luca Lanzi:
Anticipation mappings for learning classifier systems. IEEE Congress on Evolutionary Computation 2007: 2133-2140 - [c52]Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi:
Support vector machines for computing action mappings in learning classifier systems. IEEE Congress on Evolutionary Computation 2007: 2141-2148 - [c51]Pier Luca Lanzi:
An analysis of generalization in XCS with symbolic conditions. IEEE Congress on Evolutionary Computation 2007: 2149-2156 - [c50]Christian Pilato, Gianluca Palermo, Antonino Tumeo, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi:
Fitness inheritance in evolutionary and multi-objective high-level synthesis. IEEE Congress on Evolutionary Computation 2007: 3459-3466 - [c49]Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi:
Support vector regression for classifier prediction. GECCO 2007: 1806-1813 - [c48]Pier Luca Lanzi, Martin V. Butz, David E. Goldberg:
Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821 - [c47]Pier Luca Lanzi, Daniele Loiacono:
Classifier systems that compute action mappings. GECCO 2007: 1822-1829 - [c46]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 - [c45]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 - [c44]Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari:
Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. IWLCS 2007: 22-45 - [c43]Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi:
Analysis and Improvements of the Classifier Error Estimate in XCSF. IWLCS 2007: 117-135 - [c42]Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini:
Evolving Classifiers Ensembles with Heterogeneous Predictors. IWLCS 2007: 218-234 - [c41]Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Palermo, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
An Evolutionary Approach to Area-Time Optimization of FPGA designs. ICSAMOS 2007: 145-152 - [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
- [j13]Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice:
Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAs. J. Syst. Archit. 52(8-9): 516-533 (2006) - [c40]