Electricity demand forecasting over Italy: Potential benefits using numerical weather prediction models, De Felice, Matteo, Alessandri Andrea, and Ruti P.M. , Electric Power Systems Research, Volume 104, p.71-79, (2013)

Optimizing the start-up operations of combined cycle power plants using soft computing methods, Bertini, I., De Felice Matteo, Pannicelli A., and Pizzuti S. , Logic Journal of the IGPL, Volume 20, Number 4, p.648-656, (2012)

A comparison between nature-inspired and machine learning approaches to detecting trend reversals in financial time series, Azzini, A., De Felice Matteo, Tettamanzi A.G.B., Brabazon A., O'Neill M., and Maringer D. , Studies in Computational Intelligence, Volume 380, p.39-59, (2011)

Design of robust space trajectories, Stracquadanio, G., La Ferla A., De Felice Matteo, and Nicosia G. , Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel., Cambridge, p.341-354, (2011)

Effect of topology on diversity of spatially-structured evolutionary algorithms, De Felice, Matteo, Meloni S., and Panzieri S. , Genetic and Evolutionary Computation Conference, GECCO'11, Dublin, p.1579-1585, (2011)

Evolutionary algorithms for the identification of structural systems in earthquake engineering, Athanasiou, A., De Felice Matteo, Oliveto G., and Oliveto P.S. , ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications, p.52-62, (2011)

Neural networks ensembles for short-term load forecasting, De Felice, Matteo, and Yao X. , IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIASG 2011: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid, Paris, p.61-68, (2011)

Short-term load forecasting with neural network ensembles: A comparative study, De Felice, Matteo, and Yao X. , IEEE Computational Intelligence Magazine, Volume 6, Number 3, p.47-56, (2011)

Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods, Bertini, I., De Felice Matteo, Pannicelli A., and Pizzuti S. , Applied Soft Computing Journal, Volume 11, Number 6, p.4110-4116, (2011)

Ambient temperature modelling with soft computing techniques, Bertini, I., Ceravolo F., Citterio M., De Felice Matteo, Di Pietra B., Margiotta F., Pizzuti S., and Puglisi G. , Solar Energy, Volume 84, Number 7, p.1264-1272, (2010)

Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants, Bertin, I., De Felice Matteo, and Pizzuti S. , Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, p.165-170, (2010)

Start-up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms, Bertini, I., De Felice Matteo, Moretti F., and Pizzuti S. , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 6025 LNCS, Number PART 2, Istanbul, p.151-160, (2010)

A study of nature-inspired methods for financial trend reversal detection, Azzini, A., De Felice Matteo, and Tettamanzi A.G.B. , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 6025 LNCS, Number PART 2, Istanbul, p.161-170, (2010)

Ambient temperature modelling through traditional and soft computing methods, Ceravolo, F., De Felice Matteo, and Pizzuti S. , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 5271 LNAI, Burgos, p.322-328, (2008)

Evolving complex neural networks, Annunziato, M., Bertini I., De Felice Matteo, and Pizzuti S. , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 4733 LNAI, p.194-205, (2007)

Evolving predictive neural models for complex processes, De Felice, Matteo, Annunziato M., Bertini I., Panzieri S., and Pizzuti S. , CITSA 2007 - Int. Conference on Cybernetics and Information Technologies, Systems and Applications and CCCT 2007 - Int. Conference on Computing, Communications and Control Technologies, Proceedings, Volume 1, p.268-272, (2007)