2008 |
13 | EE | Nadia Mammone,
Fabio La Foresta,
Francesco Carlo Morabito,
Mario Versaci,
Umberto Aguglia:
Mutual information for measuring independence of STLmax time series in the epileptic brain.
IJCNN 2008: 955-960 |
2007 |
12 | EE | Matteo Cacciola,
Maurizio Campolo,
Fabio La Foresta,
Francesco Carlo Morabito,
Mario Versaci:
A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem.
KES (3) 2007: 243-250 |
11 | EE | Nadia Mammone,
Maurizio Fiasché,
Giuseppina Inuso,
Fabio La Foresta,
Francesco Carlo Morabito,
Mario Versaci:
Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism.
KES (3) 2007: 414-421 |
2006 |
10 | EE | Matteo Cacciola,
Antonino Greco,
Francesco Carlo Morabito,
Mario Versaci:
An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine.
ICONIP (2) 2006: 353-360 |
9 | EE | Salvatore Calcagno,
Antonino Greco,
Francesco Carlo Morabito,
Mario Versaci:
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors.
IJCNN 2006: 835-842 |
2005 |
8 | | Antonino Greco,
Nadia Mammone,
Francesco Carlo Morabito,
Mario Versaci:
Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps.
IEC (Prague) 2005: 22-26 |
7 | | Antonino Greco,
Nadia Mammone,
Francesco Carlo Morabito,
Mario Versaci:
Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors.
IEC (Prague) 2005: 40-44 |
2004 |
6 | EE | Francesco Carlo Morabito,
Mario Versaci:
Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach.
ESANN 2004: 103-108 |
2003 |
5 | | M. Buonsanti,
Simona Calcagno,
Francesco Carlo Morabito,
Mario Versaci:
Defects Reconstruction on Reinforced Concrete Specimens.
Modelling, Identification and Control 2003: 448-452 |
4 | EE | Domenico Costantino,
Francesco Carlo Morabito,
Mario Versaci:
On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data.
WILF 2003: 119-126 |
3 | EE | Antonino Greco,
Francesco Carlo Morabito,
Mario Versaci:
Neural Network Approach for Estimation and Prediction of Time to Disruption in Tokamak Reactors.
WIRN 2003: 202-209 |
2 | EE | Francesco Carlo Morabito,
Mario Versaci:
Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data.
Neural Networks 16(3-4): 493-506 (2003) |
2002 |
1 | EE | Francesco Carlo Morabito,
Mario Versaci:
Fuzzy Time Series for Forecasting Pollutants Concentration in the Air.
WIRN 2002: 152-159 |