Matteo De Felice

Orcid: 0000-0002-5457-3045

According to our database1, Matteo De Felice authored at least 18 papers between 2007 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2015
Electricity Demand Modelling with Genetic Programming.
Proceedings of the Progress in Artificial Intelligence, 2015

2014
Short-Term Predictability of Photovoltaic Production over Italy.
CoRR, 2014

2012
A Comparison between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series.
Proceedings of the Natural Computing in Computational Finance - Volume 4, 2012

Optimizing the start-up operations of combined cycle power plants using soft computing methods.
Log. J. IGPL, 2012

Influence of Topological Features on Spatially-Structured Evolutionary Algorithms Dynamics
CoRR, 2012

2011
Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes].
IEEE Comput. Intell. Mag., 2011

Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods.
Appl. Soft Comput., 2011

Design of Robust Space Trajectories.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Evolutionary Algorithms for the Identification of Structural Systems in Earthquake Engineering.
Proceedings of the ECTA and FCTA 2011, 2011

Effect of topology on diversity of spatially-structured evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Neural networks ensembles for short-term load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

2010
Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2010

A Study of Nature-Inspired Methods for Financial Trend Reversal Detection.
Proceedings of the Applications of Evolutionary Computation, 2010

Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Combining Back-Propagation and Genetic Algorithms to Train Neural Networks for Ambient Temperature Modeling in Italy.
Proceedings of the Applications of Evolutionary Computing, 2009

Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection.
Proceedings of the Applications of Evolutionary Computing, 2009

2008
Ambient Temperature Modelling through Traditional and Soft Computing Methods.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2007
Evolving Complex Neural Networks.
Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007


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