2023 - Research.com Computer Science in Italy Leader Award
His Optics study typically links adjacent topics like Adaptation (eye) and Focus (optics). Pier Luca Lanzi integrates many fields in his works, including Focus (optics) and Optics. His Programming language study frequently draws connections between adjacent fields such as Set (abstract data type) and Classifier (UML). His research on Set (abstract data type) frequently links to adjacent areas such as Programming language. His Artificial intelligence study often links to related topics such as Pattern recognition (psychology). His studies link Artificial intelligence with Pattern recognition (psychology). Pier Luca Lanzi integrates Machine learning and Gradient descent in his research. He conducted interdisciplinary study in his works that combined Gradient descent and Artificial neural network. In his works, Pier Luca Lanzi conducts interdisciplinary research on Artificial neural network and Neuroevolution.
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Mining interesting knowledge from weblogs: a survey
Federico Michele Facca;Pier Luca Lanzi.
data and knowledge engineering (2005)
An analysis of generalization in the xcs classifier system
Pier Luca Lanzi.
Evolutionary Computation (1999)
Toward a theory of generalization and learning in XCS
M.V. Butz;T. Kovacs;P.L. Lanzi;S.W. Wilson.
IEEE Transactions on Evolutionary Computation (2004)
Architectures for an Event Notification Service Scalable to Wide-area Networks
Antonio Carzaniga;Luciano Baresi;Gino Biondini;Fabiano Cattaneo.
Learning Classifier Systems, From Foundations to Applications
Pier Luca Lanzi;Wolfgang Stolzmann;Stewart W. Wilson.
Springer US (2000)
Learning Classifier Systems
Larry Bull;Pier Luca Lanzi;Wolfgang Stolzmann.
soft computing (2002)
Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems
Fabrizio Ferrandi;Pier Luca Lanzi;Christian Pilato;Donatella Sciuto.
networks on chips (2010)
Extending the representation of classifier conditions part I: from binary to messy coding
Pier Luca Lanzi.
genetic and evolutionary computation conference (1999)
Fast feature selection with genetic algorithms: a filter approach
ieee international conference on evolutionary computation (1997)
What Is a Learning Classifier System
John H. Holland;Lashon B. Booker;Marco Colombetti;Marco Dorigo.
Lecture Notes in Computer Science (2000)
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