Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery A Montella, M Aria, A D’Ambrosio, F Mauriello Accident Analysis & Prevention 49, 58-72, 2012 | 208 | 2012 |
Data-mining techniques for exploratory analysis of pedestrian crashes A Montella, M Aria, A D'Ambrosio, F Mauriello Transportation research record 2237 (1), 107-116, 2011 | 118 | 2011 |
Simulator evaluation of drivers’ speed, deceleration and lateral position at rural intersections in relation to different perceptual cues A Montella, M Aria, A D’Ambrosio, F Galante, F Mauriello, M Pernetti Accident Analysis & Prevention 43 (6), 2072-2084, 2011 | 112 | 2011 |
Traffic calming along rural highways crossing small urban communities: Driving simulator experiment F Galante, F Mauriello, A Montella, M Pernetti, M Aria, A D’Ambrosio Accident Analysis & Prevention 42 (6), 1585-1594, 2010 | 103 | 2010 |
Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach R Amodio, S., D'Ambrosio A., Siciliano European Journal of Operational Research, 2015 | 93* | 2015 |
A P-spline based clustering approach for portfolio selection C Iorio, G Frasso, A D’Ambrosio, R Siciliano Expert Systems with Applications 95, 88-103, 2018 | 69 | 2018 |
Clustering and prediction of rankings within a Kemeny distance framework WJ Heiser, A D’Ambrosio Algorithms from and for Nature and Life: Classification and Data Analysis, 19-31, 2013 | 53 | 2013 |
A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances A D’Ambrosio, WJ Heiser Psychometrika 81 (3), 774-794, 2016 | 48 | 2016 |
On concurvity in nonlinear and nonparametric regression models S Amodio, M Aria, A D’Ambrosio Statistica 74 (1), 85-98, 2014 | 48 | 2014 |
Perceptual measures to influence operating speeds and reduce crashes at rural intersections: driving simulator experiment A Montella, M Aria, A D'Ambrosio, F Galante, F Mauriello, M Pernetti Transportation Research Record 2149 (1), 11-20, 2010 | 44 | 2010 |
A differential evolution algorithm for finding the median ranking under the Kemeny axiomatic approach A D’Ambrosio, G Mazzeo, C Iorio, R Siciliano Computers & Operations Research 82, 126-138, 2017 | 41 | 2017 |
Parsimonious time series clustering using p-splines C Iorio, G Frasso, A D’Ambrosio, R Siciliano Expert Systems with Applications 52, 26-38, 2016 | 41 | 2016 |
Accurate tree-based missing data imputation and data fusion within the statistical learning paradigm A D’Ambrosio, M Aria, R Siciliano Journal of classification 29, 227-258, 2012 | 41 | 2012 |
Two algorithms for finding optimal solutions of the Kemeny rank aggregation problem for full rankings A D'Ambrosio, S Amodio, C , Iorio Electronic Journal of Applied Statistical Analysis 8 (2), 198-212, 2015 | 38 | 2015 |
Mining big data in tourism C Iorio, G Pandolfo, A D’Ambrosio, R Siciliano Quality & Quantity 54, 1655-1669, 2020 | 31 | 2020 |
ConsRank, Compute the Median Ranking (s) According to the Kemeny’s Axiomatic Approach. R package version 1.0. 2 A D’Ambrosio, S Amodio, G Mazzeo D’Ambrosio, S. Amodio, 2015 | 31* | 2015 |
Robust tree-based incremental imputation method for data fusion A D’Ambrosio, M Aria, R Siciliano Advances in Intelligent Data Analysis VII: 7th International Symposium on …, 2007 | 28 | 2007 |
Conditional classification trees by weighting the Gini impurity measure A D’Ambrosio, VA Tutore New Perspectives in Statistical Modeling and Data Analysis: Proceedings of …, 2011 | 25 | 2011 |
Median constrained bucket order rank aggregation A D’Ambrosio, C Iorio, M Staiano, R Siciliano Computational Statistics 34, 787-802, 2019 | 21 | 2019 |
Regression trees for multivalued numerical response variables A D’Ambrosio, M Aria, C Iorio, R Siciliano Expert Systems with Applications 69, 21-28, 2017 | 21 | 2017 |