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2020 – today
- 2024
[j71]Lorenzo Federico
, Ayoub Mounim, Pierpaolo D'Urso, Livia De Giovanni:
Complex networks and deep learning for copper flow across countries. Ann. Oper. Res. 339(1-2): 937-963 (2024)- [j70]Luigi D'Ambra, Rosella Castellano, Pierpaolo D'Urso, Sandra De Iaco:
Statistical methods for decision making in public sector: from the quality assessment to the citizen satisfaction. Ann. Oper. Res. 342(3): 1369-1377 (2024) - [j69]Pierpaolo D'Urso, Livia De Giovanni, Leonardo Salvatore Alaimo, Raffaele Mattera, Vincenzina Vitale:
Fuzzy clustering with entropy regularization for interval-valued data with an application to scientific journal citations. Ann. Oper. Res. 342(3): 1605-1628 (2024) - [j68]Roy Cerqueti, Pierpaolo D'Urso, Livia De Giovanni, Raffaele Mattera, Vincenzina Vitale:
Fuzzy clustering of time series based on weighted conditional higher moments. Comput. Stat. 39(6): 3091-3114 (2024) - [j67]Pierpaolo D'Urso, Livia De Giovanni, Elizabeth Ann Maharaj:
Time series clustering and classification. Int. J. Approx. Reason. 172: 109238 (2024) - [j66]Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale:
Fuzzy clustering with Barber modularity regularization. Stat. Comput. 34(6): 214 (2024) - [j65]Chenglong Zhu, Xueling Ma, Pierpaolo D'Urso, Yuhua Qian, Weiping Ding, Jianming Zhan:
Long-Term Multivariate Time-Series Forecasting Model Based on Gaussian Fuzzy Information Granules. IEEE Trans. Fuzzy Syst. 32(11): 6424-6438 (2024) - 2023
- [j64]Pierpaolo D'Urso, Livia De Giovanni, Tim B. Swartz:
Editorial: Big data and data science in sport. Ann. Oper. Res. 325(1): 1-7 (2023) - [j63]Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale:
A robust method for clustering football players with mixed attributes. Ann. Oper. Res. 325(1): 9-36 (2023) - [j62]Alessandro Chessa, Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale, Alfonso Gebbia:
Complex networks for community detection of basketball players. Ann. Oper. Res. 325(1): 363-389 (2023) - [j61]Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale:
A Bayesian network to analyse basketball players' performances: a multivariate copula-based approach. Ann. Oper. Res. 325(1): 419-440 (2023) - [j60]Pierpaolo D'Urso, Livia De Giovanni, Elizabeth Ann Maharaj, Paula Brito, Paulo Teles:
Wavelet-based fuzzy clustering of interval time series. Int. J. Approx. Reason. 152: 136-159 (2023) - [j59]Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso:
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences. Inf. Sci. 624: 467-492 (2023) - [j58]Pierpaolo D'Urso, Jacek M. Leski:
OWA-based robust fuzzy clustering of time series with typicality degrees. Inf. Sci. 651: 119706 (2023) - 2022
- [j57]Pierpaolo D'Urso, Vincenzina Vitale:
A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data. J. Classif. 39(3): 600-647 (2022) - [j56]Jalal Chachi, S. Mahmoud Taheri, Pierpaolo D'Urso:
Fuzzy regression analysis based on M-estimates. Expert Syst. Appl. 187: 115891 (2022) - [j55]Roy Cerqueti, Pierpaolo D'Urso, Livia De Giovanni, Massimiliano Giacalone, Raffaele Mattera:
Weighted score-driven fuzzy clustering of time series with a financial application. Expert Syst. Appl. 198: 116752 (2022) - [j54]Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso:
Quantile-based fuzzy clustering of multivariate time series in the frequency domain. Fuzzy Sets Syst. 443(Part): 115-154 (2022) - [j53]Pierpaolo D'Urso, Jalal Chachi:
OWA fuzzy regression. Int. J. Approx. Reason. 142: 430-450 (2022) - [j52]Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego:
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. Int. J. Approx. Reason. 150: 55-82 (2022) - [j51]Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego:
Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic. IEEE Trans. Fuzzy Syst. 30(9): 3990-4004 (2022) - 2021
- [j50]Carmela Cappelli, Francesca Di Iorio, Angela Maddaloni, Pierpaolo D'Urso:
Atheoretical Regression Trees for classifying risky financial institutions. Ann. Oper. Res. 299(1): 1357-1377 (2021) - [j49]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
Trimmed fuzzy clustering of financial time series based on dynamic time warping. Ann. Oper. Res. 299(1): 1379-1395 (2021) - [j48]Carmela Cappelli, Roy Cerqueti, Pierpaolo D'Urso, Francesca Di Iorio:
Multiple breaks detection in financial interval-valued time series. Expert Syst. Appl. 164: 113775 (2021) - [j47]Mojtaba Kashani, Mohammad Arashi, Mohammad Reza Rabiei, Pierpaolo D'Urso, Livia De Giovanni:
A fuzzy penalized regression model with variable selection. Expert Syst. Appl. 175: 114696 (2021) - [j46]Pierpaolo D'Urso, Luis Angel García-Escudero, Livia De Giovanni, Vincenzina Vitale, Agustín Mayo-Íscar:
Robust fuzzy clustering of time series based on B-splines. Int. J. Approx. Reason. 136: 223-246 (2021) - [j45]Andrés M. Alonso, Pierpaolo D'Urso, Carolina Gamboa, Vanesa Guerrero:
Cophenetic-based fuzzy clustering of time series by linear dependency. Int. J. Approx. Reason. 137: 114-136 (2021) - [c4]Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego:
Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic. WILF 2021 - [i1]Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego:
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. CoRR abs/2109.11027 (2021) - 2020
- [j44]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari, Rita Laura D'Ecclesia, Elizabeth Ann Maharaj:
Cepstral-based clustering of financial time series. Expert Syst. Appl. 161: 113705 (2020) - [j43]Pierpaolo D'Urso, Jacek M. Leski:
Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging. Fuzzy Sets Syst. 389: 1-28 (2020) - [j42]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
Smoothed self-organizing map for robust clustering. Inf. Sci. 512: 381-401 (2020)
2010 – 2019
- 2019
- [j41]Pierpaolo D'Urso, Riccardo Massari:
Fuzzy clustering of mixed data. Inf. Sci. 505: 513-534 (2019) - [p1]Pierpaolo D'Urso, Marta Disegna, Riccardo Massari:
Fuzzy Clustering in Travel and Tourism Analytics. Business and Consumer Analytics: New Ideas 2019: 839-863 - 2018
- [j40]José Antonio Vilar, Borja R. Lafuente-Rego, Pierpaolo D'Urso:
Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series. Fuzzy Sets Syst. 340: 38-72 (2018) - [j39]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
Robust fuzzy clustering of multivariate time trajectories. Int. J. Approx. Reason. 99: 12-38 (2018) - 2017
- [j38]Pierpaolo D'Urso, María Angeles Gil:
Fuzzy data analysis and classification - Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic. Adv. Data Anal. Classif. 11(4): 645-657 (2017) - [j37]Pierpaolo D'Urso, Riccardo Massari, Livia De Giovanni, Carmela Cappelli:
Exponential distance-based fuzzy clustering for interval-valued data. Fuzzy Optim. Decis. Mak. 16(1): 51-70 (2017) - [j36]Pierpaolo D'Urso, Elizabeth Ann Maharaj, Andrés M. Alonso:
Fuzzy clustering of time series using extremes. Fuzzy Sets Syst. 318: 56-79 (2017) - [j35]Pierpaolo D'Urso:
Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review. Inf. Sci. 400: 30-62 (2017) - 2016
- [j34]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
GARCH-based robust clustering of time series. Fuzzy Sets Syst. 305: 1-28 (2016) - [j33]Pierpaolo D'Urso, Jacek M. Leski:
Fuzzy c-ordered medoids clustering for interval-valued data. Pattern Recognit. 58: 49-67 (2016) - 2015
- [j32]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
Trimmed fuzzy clustering for interval-valued data. Adv. Data Anal. Classif. 9(1): 21-40 (2015) - [j31]Pierpaolo D'Urso, Marta Disegna, Riccardo Massari, Girish Prayag:
Bagged fuzzy clustering for fuzzy data: An application to a tourism market. Knowl. Based Syst. 73: 335-346 (2015) - 2014
- [j30]Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
Self-Organizing Maps for imprecise data. Fuzzy Sets Syst. 237: 63-89 (2014) - 2013
- [j29]Pierpaolo D'Urso, Livia De Giovanni, Marta Disegna, Riccardo Massari:
Bagged Clustering and its application to tourism market segmentation. Expert Syst. Appl. 40(12): 4944-4956 (2013) - [j28]Pierpaolo D'Urso, Riccardo Massari:
Fuzzy clustering of human activity patterns. Fuzzy Sets Syst. 215: 29-54 (2013) - [j27]Carmela Cappelli, Pierpaolo D'Urso, Francesca Di Iorio:
Change point analysis of imprecise time series. Fuzzy Sets Syst. 225: 23-38 (2013) - [j26]Pierpaolo D'Urso, Livia De Giovanni, Paolo Spagnoletti:
A fuzzy taxonomy for e-Health projects. Int. J. Mach. Learn. Cybern. 4(5): 487-504 (2013) - [j25]Pierpaolo D'Urso, Dario Di Lallo, Elizabeth Ann Maharaj:
Autoregressive model-based fuzzy clustering and its application for detecting information redundancy in air pollution monitoring networks. Soft Comput. 17(1): 83-131 (2013) - 2012
- [j24]Nicholas T. Longford, Pierpaolo D'Urso:
Mixtures of Autoregressions with an Improper Component for Panel Data. J. Classif. 29(3): 341-362 (2012) - [j23]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani:
Fuzzy and possibilistic clustering for fuzzy data. Comput. Stat. Data Anal. 56(4): 915-927 (2012) - [j22]Pierpaolo D'Urso, Elizabeth Ann Maharaj:
Wavelets-based clustering of multivariate time series. Fuzzy Sets Syst. 193: 33-61 (2012) - 2011
- [j21]Pierpaolo D'Urso, Livia De Giovanni:
Midpoint radius self-organizing maps for interval-valued data with telecommunications application. Appl. Soft Comput. 11(5): 3877-3886 (2011) - [j20]Elizabeth Ann Maharaj, Pierpaolo D'Urso:
Fuzzy clustering of time series in the frequency domain. Inf. Sci. 181(7): 1187-1211 (2011) - [j19]Pierpaolo D'Urso, Riccardo Massari, Adriana Santoro:
Robust fuzzy regression analysis. Inf. Sci. 181(19): 4154-4174 (2011) - 2010
- [j18]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani:
A Fuzzy Clustering Model for Multivariate Spatial Time Series. J. Classif. 27(1): 54-88 (2010) - [j17]Elizabeth Ann Maharaj, Pierpaolo D'Urso, Don U. A. Galagedera:
Wavelet-based Fuzzy Clustering of Time Series. J. Classif. 27(2): 231-275 (2010) - [j16]Pierpaolo D'Urso, Riccardo Massari, Adriana Santoro:
A class of fuzzy clusterwise regression models. Inf. Sci. 180(24): 4737-4762 (2010) - [c3]Nicholas T. Longford, Pierpaolo D'Urso:
Mixture Models with a Black-Hole Component. SMPS 2010: 427-435
2000 – 2009
- 2009
- [j15]Pierpaolo D'Urso, Elizabeth Ann Maharaj:
Autocorrelation-based fuzzy clustering of time series. Fuzzy Sets Syst. 160(24): 3565-3589 (2009) - [j14]Gil González-Rodríguez, Ana Colubi, Pierpaolo D'Urso, Manuel Montenegro:
Multi-sample test-based clustering for fuzzy random variables. Int. J. Approx. Reason. 50(5): 721-731 (2009) - 2008
- [j13]Pierpaolo D'Urso, Livia De Giovanni:
Temporal self-organizing maps for telecommunications market segmentation. Neurocomputing 71(13-15): 2880-2892 (2008) - 2007
- [c2]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani:
Fuzzy Clustering for Space-time Series Using Spatial Autocorrelation Information. FUZZ-IEEE 2007: 1-6 - 2006
- [j12]Renato Coppi, Pierpaolo D'Urso:
Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization. Comput. Stat. Data Anal. 50(6): 1452-1477 (2006) - [j11]Pierpaolo D'Urso, Paolo Giordani:
A weighted fuzzy c. Comput. Stat. Data Anal. 50(6): 1496-1523 (2006) - [j10]Renato Coppi, Pierpaolo D'Urso, Paolo Giordani, Adriana Santoro:
Least squares estimation of a linear regression model with LR fuzzy response. Comput. Stat. Data Anal. 51(1): 267-286 (2006) - [j9]Pierpaolo D'Urso, Adriana Santoro:
Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable. Comput. Stat. Data Anal. 51(1): 287-313 (2006) - [j8]Pierpaolo D'Urso, Paolo Giordani:
A robust fuzzy k-means clustering model for interval valued data. Comput. Stat. 21(2): 251-269 (2006) - [j7]Pierpaolo D'Urso, Adriana Santoro:
Goodness of fit and variable selection in the fuzzy multiple linear regression. Fuzzy Sets Syst. 157(19): 2627-2647 (2006) - [c1]Gil González-Rodríguez, Ana Colubi, Pierpaolo D'Urso, Paolo Giordani:
An Asymptotic Test for Symmetry of Random Variables Based on Fuzzy Tools. SMPS 2006: 87-94 - 2005
- [j6]Pierpaolo D'Urso, Paolo Giordani:
A possibilistic approach to latent component analysis for symmetric fuzzy data. Fuzzy Sets Syst. 150(2): 285-305 (2005) - [j5]Pierpaolo D'Urso:
Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories. IEEE Trans. Fuzzy Syst. 13(5): 583-604 (2005) - 2004
- [j4]Pierpaolo D'Urso:
Fuzzy C-Means Clustering Models For Multivariate Time-Varying Data: Different Approaches. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(3): 287-326 (2004) - 2003
- [j3]Pierpaolo D'Urso:
Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data. Comput. Stat. Data Anal. 42(1-2): 47-72 (2003) - [j2]Renato Coppi, Pierpaolo D'Urso:
Three-way fuzzy clustering models for LR fuzzy time trajectories. Comput. Stat. Data Anal. 43(2): 149-177 (2003) - 2002
- [j1]Pierpaolo D'Urso, Tommaso Gastaldi:
An "orderwise" polynomial regression procedure for fuzzy data. Fuzzy Sets Syst. 130(1): 1-19 (2002)
Coauthor Index
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