Matteo De Felice

Publication Activity (10 Years)

Years Active: 2007-2015
Publications (10 Years): 0

Top Topics

Schottky Barrier

Evolutionary Algorithm

Load Forecasting

Top Venues

Publications

Mauro Castelli, Matteo De Felice, Luca Manzoni, Leonardo Vanneschi
Electricity Demand Modelling with Genetic Programming. EPIA (2015)
Matteo De Felice, Marcello Petitta, Paolo M. Ruti
Short-Term Predictability of Photovoltaic Production over Italy. CoRR (2014)
Ilaria Bertini, Matteo De Felice, Alessandro Pannicelli, Stefano Pizzuti
Optimizing the start-up operations of combined cycle power plants using soft computing methods. Log. J. IGPL 20 (4) (2012)
Matteo De Felice, Sandro Meloni, Stefano Panzieri
Influence of Topological Features on Spatially-Structured Evolutionary Algorithms Dynamics CoRR (2012)
Anastasia Athanasiou, Matteo De Felice, Giuseppe Oliveto, Pietro S. Oliveto
Evolutionary Algorithms for the Identification of Structural Systems in Earthquake Engineering. IJCCI (ECTA-FCTA) (2011)
Giovanni Stracquadanio, Angelo La Ferla, Matteo De Felice, Giuseppe Nicosia
Design of Robust Space Trajectories. SGAI Conf. (2011)
Ilaria Bertini, Matteo De Felice, Alessandro Pannicelli, Stefano Pizzuti
Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods. Appl. Soft Comput. 11 (6) (2011)
Matteo De Felice, Xin Yao
Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes]. IEEE Comput. Intell. Mag. 6 (3) (2011)
Matteo De Felice, Sandro Meloni, Stefano Panzieri
Effect of topology on diversity of spatially-structured evolutionary algorithms. GECCO (2011)
Matteo De Felice, Xin Yao
Neural networks ensembles for short-term load forecasting. CIASG (2011)
Ilaria Bertini, Matteo De Felice, Fabio Moretti, Stefano Pizzuti
Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms. EvoApplications (2) (2010)
Antonia Azzini, Matteo De Felice, Andrea Tettamanzi
A Study of Nature-Inspired Methods for Financial Trend Reversal Detection. EvoApplications (2) (2010)
Ilaria Bertini, Matteo De Felice, Stefano Pizzuti
Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants. ESANN (2010)
Francesco Ceravolo, Matteo De Felice, Stefano Pizzuti
Combining Back-Propagation and Genetic Algorithms to Train Neural Networks for Ambient Temperature Modeling in Italy. EvoWorkshops (2009)
Antonia Azzini, Matteo De Felice, Sandro Meloni, Andrea Tettamanzi
Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection. EvoWorkshops (2009)
Francesco Ceravolo, Matteo De Felice, Stefano Pizzuti
Ambient Temperature Modelling through Traditional and Soft Computing Methods. HAIS (2008)
Mauro Annunziato, Ilaria Bertini, Matteo De Felice, Stefano Pizzuti
Evolving Complex Neural Networks. AI*IA (2007)