Dynamic clustering of interval data using a Wasserstein-based distance A Irpino, R Verde Pattern Recognition Letters 29 (11), 1648-1658, 2008 | 150 | 2008 |
A new Wasserstein based distance for the hierarchical clustering of histogram symbolic data A Irpino, R Verde Data Science and Classification, 185-192, 2006 | 134 | 2006 |
Dynamic clustering of histogram data: using the right metric R Verde, A Irpino Selected contributions in data analysis and classification, 123-134, 2007 | 75 | 2007 |
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances A Irpino, R Verde, FAT De Carvalho Expert Systems with Applications 41 (7), 3351-3366, 2014 | 67 | 2014 |
Optimal histogram representation of large data sets: Fisher vs piecewise linear approximations A Irpino, E Romano Revue des nouvelles technologies de l'information 1, 99-110, 2007 | 62 | 2007 |
Dynamic clustering of histograms using Wasserstein metric A Irpino, R Verde, Y Lechevallier COMPSTAT, 869-876, 2006 | 62 | 2006 |
Basic statistics for distributional symbolic variables: a new metric-based approach A Irpino, R Verde Advances in Data Analysis and Classification 9, 143-175, 2015 | 56 | 2015 |
Regional surveillance of emergency-department visits for outpatient adverse drug events A Capuano, A Irpino, M Gallo, L Ferrante, ML Illiano, B Rinaldi, A Filippelli, ... European journal of clinical pharmacology 65 (7), 721-728, 2009 | 56 | 2009 |
Comparing histogram data using a Mahalanobis–Wasserstein distance R Verde, A Irpino COMPSTAT 2008: Proceedings in Computational Statistics, 77-89, 2008 | 54 | 2008 |
Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance A Irpino, R Verde Advances in Data Analysis and Classification 9 (1), 81-106, 2015 | 40 | 2015 |
Ordinary least squares for histogram data based on Wasserstein distance R Verde, A Irpino Proceedings of COMPSTAT'2010: 19th International Conference on Computational …, 2010 | 39 | 2010 |
Principal component analysis of symbolic data described by intervals N Lauro, R Verde, A Irpino Symbolic data analysis and the SODAS software, 279-311, 2008 | 37 | 2008 |
Dimension reduction techniques for distributional symbolic data R Verde, A Irpino, A Balzanella IEEE transactions on cybernetics 46 (2), 344-355, 2015 | 34 | 2015 |
“Spaghetti” PCA analysis: an extension of principal components analysis to time dependent interval data A Irpino Pattern recognition letters 27 (5), 504-513, 2006 | 30 | 2006 |
Predictors of mortality in atypical antipsychotic-treated community-dwelling elderly patients with behavioural and psychological symptoms of dementia: a prospective population … C Rafaniello, F Lombardo, C Ferrajolo, L Sportiello, E Parretta, R Formica, ... European journal of clinical pharmacology 70, 187-195, 2014 | 27 | 2014 |
Active surveillance of adverse drug reactions in children in five Italian paediatric wards M Gallo, A Clavenna, M Bonati, P Siani, A Irpino, F Rossi, A Capuano Scientific Research Publishing, 2012 | 19 | 2012 |
Visualizing symbolic data by closed shapes A Irpino, C Lauro, R Verde Between Data Science and Applied Data Analysis: Proceedings of the 26 th …, 2003 | 19 | 2003 |
Fuzzy clustering of distributional data with automatic weighting of variable components A Irpino, R Verde, FAT de Carvalho Information Sciences 406, 248-268, 2017 | 18 | 2017 |
Multiclass generalized eigenvalue proximal support vector machines MR Guarracino, A Irpino, R Verde 2010 International Conference on Complex, Intelligent and Software Intensive …, 2010 | 15 | 2010 |
Clustering reduced interval data using Hausdorff distance A Irpino, V Tontodonato Computational Statistics 21 (2), 271-288, 2006 | 15 | 2006 |