Antonio Irpino
Antonio Irpino
University of Campania "L. Vanvitelli"
Verified email at - Homepage
Cited by
Cited by
Dynamic clustering of interval data using a Wasserstein-based distance
A Irpino, R Verde
Pattern Recognition Letters 29 (11), 1648-1658, 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
Dynamic clustering of histogram data: using the right metric
R Verde, A Irpino
Selected contributions in data analysis and classification, 123-134, 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
Dynamic clustering of histograms using Wasserstein metric
A Irpino, R Verde, Y Lechevallier
COMPSTAT, 869-876, 2006
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
Optimal histogram representation of large data sets: Fisher vs piecewise linear approximation.
A Irpino, E Romano
EGC 1, 99-110, 2007
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
Comparing histogram data using a Mahalanobis–Wasserstein distance
R Verde, A Irpino
COMPSTAT 2008: Proceedings in Computational Statistics, 77-89, 2008
Ordinary least squares for histogram data based on Wasserstein distance
R Verde, A Irpino
Proceedings of COMPSTAT'2010: 19th International Conference on Computationalá…, 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
Dimension reduction techniques for distributional symbolic data
R Verde, A Irpino, A Balzanella
IEEE transactions on cybernetics 46 (2), 344-355, 2015
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, 81-106, 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
Predictors of mortality in atypical antipsychotic-treated community-dwelling elderly patients with behavioural and psychological symptoms of dementia: a prospective populationá…
C Rafaniello, F Lombardo, C Ferrajolo, L Sportiello, E Parretta, R Formica, ...
European journal of clinical pharmacology 70, 187-195, 2014
Visualizing symbolic data by closed shapes
A Irpino, C Lauro, R Verde
Between Data Science and Applied Data Analysis: Proceedings of the 26 thá…, 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
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
Multiclass generalized eigenvalue proximal support vector machines
MR Guarracino, A Irpino, R Verde
2010 International Conference on Complex, Intelligent and Software Intensiveá…, 2010
Clustering reduced interval data using Hausdorff distance
A Irpino, V Tontodonato
Computational Statistics 21, 271-288, 2006
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