 | 2008 |
| 31 |  | Filippo Neri:
The PIRR Methodology to Estimate Resource Requirements for Distributed NM Applications in Mobile Networks.
WETICE 2008: 33-34 |
| 2007 |
| 30 |  | Filippo Neri:
Using an agent based simulation to evaluate scenarios in customers' buying behaviour.
Emergent Intelligence of Networked Agents 2007: 177-188 |
| 2004 |
| 29 |  | Filippo Neri:
Representing and Simulating Consumers' Behavior in an Information Sensitive Market Place.
AAMAS 2004: 1448-1449 |
| 28 |  | Filippo Neri:
Agent Based Simulation of Information Diffusion in a Virtual Market Place.
IAT 2004: 333-336 |
| 2002 |
| 27 |  | Filippo Neri:
Cooperative Concept Learning By Means Of A Distributed GA.
GECCO 2002: 953-956 |
| 26 |  | Filippo Neri:
Modeling Product Awareness Rates and Market Shares.
RASTA 2002: 134-144 |
| 25 |  | Filippo Neri:
Relational Concept Learning by Cooperative Evolution.
ACM Journal of Experimental Algorithmics 7: 12 (2002) |
| 2001 |
| 24 |  | Filippo Neri:
An Agent Based Approach to Virtual Market Place Simulation.
AI*IA 2001: 267-272 |
| 23 |  | Filippo Neri:
A Study on the Effect of Cooperative Evolution on Concept Learning.
EvoWorkshops 2001: 414-420 |
| 2000 |
| 22 |  | Filippo Neri:
Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm.
ECML 2000: 313-322 |
| 21 |  | Filippo Neri:
Evolutive Modeling of TCP/IP Network Traffic for Intrusion Detection.
EvoWorkshops 2000: 214-223 |
| 20 |  | Filippo Neri:
Modeling TCP/IP network traffic for intrusion detection by genetic evolution.
GECCO 2000: 755 |
| 19 |  | Filippo Neri:
Multi Level Knowledge in Modeling Qualitative Physics Learning.
Machine Learning 38(1-2): 181-211 (2000) |
| 1999 |
| 18 |  | Filippo Neri:
Computer Aided Tracing of Children?s Physics Learning: a Teacher Oriented View.
IJCAI 1999: 370-377 |
| 1998 |
| 17 |  | Filippo Neri:
Simulating Children Learning and Explaining Elementary Heat Transfer Phenomena: A Multistrategy System at Work.
ECML 1998: 67-76 |
| 16 |  | Lorenza Saitta,
Filippo Neri:
Learning in the `` Real World''.
Machine Learning 30(2-3): 133-163 (1998) |
| 1997 |
| 15 |  | Filippo Neri,
Lorenza Saitta,
Andrée Tiberghien:
Modelling Conceptual Change: An Interdisciplinary Approach.
AI*IA 1997: 1-12 |
| 14 |  | Filippo Neri:
REGAL3.2: FOL Concept Learning by Cooperative Genetic Algorithms.
AI*IA 1997: 443-446 |
| 13 |  | Lorenza Saitta,
Filippo Neri,
Andrée Tiberghien:
World Model Construction in Children during Physics Learning.
ISMIS 1997: 127-136 |
| 12 |  | Filippo Neri,
Lorenza Saitta:
Machine Learning for Information Extraction.
SCIE 1997: 171-191 |
| 11 |  | Attilio Giordana,
Filippo Neri,
Lorenza Saitta,
Marco Botta:
Integrating Multiple Learning Strategies in First Order Logics.
Machine Learning 27(3): 209-240 (1997) |
| 1996 |
| 10 |  | Attilio Giordana,
Filippo Neri,
Lorenza Saitta:
A Fine-Grained Parallel Evolutionary Program for Concept Induction.
ISMIS 1996: 168-177 |
| 9 |  | Attilio Giordana,
Filippo Neri:
Genetic Algorithms in Machine Learning.
AI Commun. 9(1): 21-26 (1996) |
| 8 |  | Filippo Neri,
Lorenza Saitta:
An Analysis of the ``Universal Suffrage'' Selection Operator.
Evolutionary Computation 4(1): 87-107 (1996) |
| 7 |  | Filippo Neri,
Lorenza Saitta:
Exploring the Power of Genetic Search in Learning Symbolic Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell. 18(11): 1135-1141 (1996) |
| 1995 |
| 6 |  | Filippo Neri,
Lorenza Saitta:
Analysis of Genetic Algorithms Evolution under Pure Selection.
ICGA 1995: 32-41 |
| 5 |  | Filippo Neri,
Attilio Giordana:
A Parallel Genetic Algorithm for Concept Learning.
ICGA 1995: 436-443 |
| 4 |  | Attilio Giordana,
Filippo Neri:
Search-Intensive Concept Induction.
Evolutionary Computation 3(4): 375-419 (1995) |
| 1994 |
| 3 |  | Filippo Neri,
Lorenza Saitta:
Knowledge Representation in Machine Learning.
ECML 1994: 20-27 |
| 2 |  | Attilio Giordana,
Filippo Neri,
Lorenza Saitta:
Formal Models of Selection in Genetic Algorithms.
ISMIS 1994: 124-133 |
| 1993 |
| 1 |  | Lorenza Saitta,
Marco Botta,
Filippo Neri:
Multistrategy Learning and Theory Revision.
Machine Learning 11: 153-172 (1993) |