| Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems–An example of application to the steel industry GF Porzio, B Fornai, A Amato, N Matarese, M Vannucci, L Chiappelli, ... Applied energy 112, 818-833, 2013 | 86 | 2013 |
| A method for resampling imbalanced datasets in binary classification tasks for real-world problems S Cateni, V Colla, M Vannucci Neurocomputing 135, 32-41, 2014 | 74 | 2014 |
| Meaningful discretization of continuous features for association rules mining by means of a SOM. M Vannucci, V Colla ESANN, 489-494, 2004 | 53 | 2004 |
| Outlier detection methods for industrial applications S Cateni, V Colla, M Vannucci Advances in Robotics, Automation and Control, 2008 | 41 | 2008 |
| Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork GF Porzio, G Nastasi, V Colla, M Vannucci, TA Branca Applied energy 136, 1085-1097, 2014 | 39 | 2014 |
| Process integration in energy and carbon intensive industries: an example of exploitation of optimization techniques and decision support GF Porzio, V Colla, N Matarese, G Nastasi, TA Branca, A Amato, B Fornai, ... Applied Thermal Engineering 70 (2), 1148-1155, 2014 | 34 | 2014 |
| Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic M Vannucci, V Colla Applied Soft Computing 11 (2), 2383-2390, 2011 | 30 | 2011 |
| Variable selection through genetic algorithms for classification purposes S Cateni, V Colla, M Vannucci Proceedings of the 10th IASTED International Conference on Artificial …, 2010 | 30 | 2010 |
| Variable selection and feature extraction through artificial intelligence techniques S Cateni, M Vannucci, M Vannocci, V Colla Multivariate Analysis in Management, Engineering and the Science, 103-118, 2012 | 28 | 2012 |
| A genetic algorithm-based approach for selecting input variables and setting relevant network parameters of a som-based classifier S Cateni, V Colla, M Vannucci Int. J. Simul. Syst. Sci. Technol 12 (2), 30-37, 2011 | 28 | 2011 |
| A fuzzy logic-based method for outliers detection. S Cateni, V Colla, M Vannucci Artificial Intelligence and Applications, 605-610, 2007 | 27 | 2007 |
| A fuzzy inference system applied to defect detection in flat steel production A Borselli, V Colla, M Vannucci, M Veroli International Conference on Fuzzy Systems, 1-6, 2010 | 25 | 2010 |
| Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap GF Porzio, V Colla, B Fornai, M Vannucci, M Larsson, H Stripple Applied energy 161, 656-672, 2016 | 22 | 2016 |
| General purpose input variables extraction: A genetic algorithm based procedure give a gap S Cateni, V Colla, M Vannucci 2009 Ninth International Conference on Intelligent Systems Design and …, 2009 | 22 | 2009 |
| A hybrid feature selection method for classification purposes S Cateni, V Colla, M Vannucci 2014 European Modelling Symposium, 39-44, 2014 | 21 | 2014 |
| Thresholded neural networks for sensitive industrial classification tasks M Vannucci, V Colla, M Sgarbi, O Toscanelli International Work-Conference on Artificial Neural Networks, 1320-1327, 2009 | 21 | 2009 |
| A fuzzy system for combining different outliers detection methods S Cateni, V Colla, M Vannucci Proceedings of the IASTED international conference on artificial …, 2009 | 15 | 2009 |
| Neural predictor of the end point in a converter R Valentini, V Colla, M Vannucci Revista de Metalurgia 40, 416-419, 2004 | 14 | 2004 |
| A fuzzy system for combining filter features selection methods S Cateni, V Colla, M Vannucci International Journal of Fuzzy Systems 19 (4), 1168-1180, 2017 | 12 | 2017 |
| Prediction of hot deformation resistance during processing of microalloyed steels in plate rolling process A Dimatteo, M Vannucci, V Colla The International Journal of Advanced Manufacturing Technology 66 (9-12 …, 2013 | 11 | 2013 |