Pier Luca Lanzi
TitleCited byYear
Mining interesting knowledge from weblogs: a survey
FM Facca, PL Lanzi
Data & Knowledge Engineering 53 (3), 225-241, 2005
4282005
Toward a theory of generalization and learning in XCS
MV Butz, T Kovacs, PL Lanzi, SW Wilson
IEEE transactions on evolutionary computation 8 (1), 28-46, 2004
2382004
Learning classifier systems
PL Lanzi
Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009
220*2009
Learning classifier systems: from foundations to applications
PL Lanzi
Springer Science & Business Media, 2000
2132000
What is a learning classifier system?
JH Holland, LB Booker, M Colombetti, M Dorigo, DE Goldberg, S Forrest, ...
International Workshop on Learning Classifier Systems, 3-32, 1999
1751999
Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions
LP Luca, P Alessandro
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 99 …, 1999
1431999
Ant colony heuristic for mapping and scheduling tasks and communications on heterogeneous embedded systems
F Ferrandi, PL Lanzi, C Pilato, D Sciuto, A Tumeo
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2010
1372010
Learning classifier systems: New models, successful applications
JH Holmes, PL Lanzi, W Stolzmann, SW Wilson
Information Processing Letters 82 (1), 23-30, 2002
1162002
Fast feature selection with genetic algorithms: a filter approach
PL Lanzi
Proceedings of 1997 IEEE International Conference on Evolutionary …, 1997
1121997
Toward optimal classifier system performance in non-Markov environments
PL Lanzi, SW Wilson
Evolutionary Computation 8 (4), 393-418, 2000
1092000
An analysis of generalization in the XCS classifier system
PL Lanzi
Evolutionary Computation 7 (2), 125-149, 1999
1051999
Function approximation with XCS: Hyperellipsoidal conditions, recursive least squares, and compaction
MV Butz, PL Lanzi, SW Wilson
IEEE Transactions on Evolutionary Computation 12 (3), 355-376, 2008
1042008
The 2009 simulated car racing championship
D Loiacono, PL Lanzi, J Togelius, E Onieva, DA Pelta, MV Butz, ...
IEEE Transactions on Computational Intelligence and AI in Games 2 (2), 131-147, 2010
1012010
Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems
MV Butz, DE Goldberg, PL Lanzi
IEEE Transactions on Evolutionary Computation 9 (5), 452-473, 2005
952005
A Study of the Generalization Capabilities of XCS.
PL Lanzi
ICGA, 418-425, 1997
921997
Self-adaptive games for rehabilitation at home
M Pirovano, R Mainetti, G Baud-Bovy, PL Lanzi, NA Borghese
2012 IEEE Conference on Computational Intelligence and Games (CIG), 179-186, 2012
892012
Learning classifier systems from a reinforcement learning perspective
PL Lanzi
Soft Computing 6 (3-4), 162-170, 2002
892002
The wcci 2008 simulated car racing competition
D Loiacono, J Togelius, PL Lanzi, L Kinnaird-Heether, SM Lucas, ...
2008 IEEE Symposium On Computational Intelligence and Games, 119-126, 2008
862008
Procedural content generation: Goals, challenges and actionable steps
J Togelius, AJ Champandard, PL Lanzi, M Mateas, A Paiva, M Preuss, ...
Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2013
822013
A roadmap to the last decade of learning classifier system research (from 1989 to 1999)
PL Lanzi, RL Riolo
International Workshop on Learning Classifier Systems, 33-61, 1999
821999
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Articles 1–20