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ORCIDPaula Brito
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2020 – today
- 2024
[j25]Paula Brito, Andrea Cerioli, Luis Angel García-Escudero, Gilbert Saporta:
Special issue on "New methodologies in clustering and classification for complex and/or big data". Adv. Data Anal. Classif. 18(3): 539-543 (2024)- [j24]Hélder Alves
, Paula Brito, Pedro Campos:
Community detection in interval-weighted networks. Data Min. Knowl. Discov. 38(2): 653-698 (2024) - 2023
- [j23]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) - 2022
- [j22]Hélder Alves, Paula Brito, Pedro Campos:
Centrality measures in interval-weighted networks. J. Complex Networks 10(4) (2022) - 2021
- [j21]Sónia Dias, Paula Brito, Paula Amaral:
Discriminant analysis of distributional data via fractional programming. Eur. J. Oper. Res. 294(1): 206-218 (2021) - [j20]Elizabeth Ann Maharaj, Paula Brito, Paulo Teles:
A test to compare interval time series. Int. J. Approx. Reason. 133: 17-29 (2021) - [j19]António Pedro Duarte Silva, Paula Brito, Peter Filzmoser, José G. Dias:
MAINT.Data: Modelling and Analysing Interval Data in R. R J. 13(2): 266 (2021) - [i3]Hélder Alves, Paula Brito, Pedro Campos:
Centrality Measures in Interval-Weighted Networks. CoRR abs/2106.10016 (2021) - [i2]Hélder Alves, Paula Brito, Pedro Campos:
Community Detection in Interval-Weighted Networks. CoRR abs/2106.10217 (2021) - 2020
- [j18]Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Paula Brito, Vera Afreixo:
Clustering genomic words in human DNA using peaks and trends of distributions. Adv. Data Anal. Classif. 14(1): 57-76 (2020) - [j17]Ana Rita Vieira, Pedro Campos, Paula Brito:
New contributions for the comparison of community detection algorithms in attributed networks. J. Complex Networks 8(4) (2020)
2010 – 2019
- 2019
- [j16]Elizabeth Ann Maharaj, Paulo Teles, Paula Brito:
Clustering of interval time series. Stat. Comput. 29(5): 1011-1034 (2019) - 2018
- [j15]António Pedro Duarte Silva, Peter Filzmoser, Paula Brito:
Outlier detection in interval data. Adv. Data Anal. Classif. 12(3): 785-822 (2018) - 2017
- [j14]Karel Hron, Paula Brito, Peter Filzmoser:
Exploratory data analysis for interval compositional data. Adv. Data Anal. Classif. 11(2): 223-241 (2017) - [j13]Sónia Dias, Paula Brito:
Off the beaten track: A new linear model for interval data. Eur. J. Oper. Res. 258(3): 1118-1130 (2017) - [c7]Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Raquel M. Silva, Carlos A. C. Bastos, Armando J. Pinho, Paula Brito, Vera Afreixo:
Dissimilar Symmetric Word Pairs in the Human Genome. PACBB 2017: 248-256 - 2016
- [i1]Conceição Rocha, Alípio Jorge, Roberta Akemi Sinoara, Paula Brito, Carlos Pimenta, Solange O. Rezende:
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese. CoRR abs/1612.09535 (2016) - 2015
- [j12]António Pedro Duarte Silva, Paula Brito:
Discriminant Analysis of Interval Data: An Assessment of Parametric and Distance-Based Approaches. J. Classif. 32(3): 516-541 (2015) - [j11]Paula Brito, António Pedro Duarte Silva, José G. Dias:
Probabilistic clustering of interval data. Intell. Data Anal. 19(2): 293-313 (2015) - [j10]Sónia Dias, Paula Brito:
Linear regression model with histogram-valued variables. Stat. Anal. Data Min. 8(2): 75-113 (2015) - [e1]Gilles Venturini, Paula Brito:
Symbolic Data Analysis and Visualization: Special Issue in honor of Monique Noirhomme-Fraiture. RNTI E-29, Hermann-Éditions 2015, ISBN 9782705691264 [contents] - 2014
- [j9]Paula Brito:
Symbolic Data Analysis: another look at the interaction of Data Mining and Statistics. WIREs Data Mining Knowl. Discov. 4(4): 281-295 (2014) - 2012
- [c6]Paula Brito, Géraldine Polaillon:
Classification Conceptuelle avec Généralisation par Intervalles. EGC 2012: 113-118 - [c5]Paula Brito, Marie Chavent:
Divisive Monothetic Clustering for Interval and Histogram-valued Data. ICPRAM (1) 2012: 229-234 - 2011
- [j8]Monique Noirhomme-Fraiture, Paula Brito:
Far beyond the classical data models: symbolic data analysis. Stat. Anal. Data Min. 4(2): 157-170 (2011) - [c4]Paula Brito, Géraldine Polaillon:
Homogeneity and Stability in Conceptual Analysis. CLA 2011: 251-263
2000 – 2009
- 2006
- [j7]Francisco de A. T. de Carvalho, Paula Brito, Hans-Hermann Bock:
Dynamic clustering for interval data based on L 2 distance. Comput. Stat. 21(2): 231-250 (2006) - [j6]António Pedro Duarte Silva, Paula Brito:
Linear discriminant analysis for interval data. Comput. Stat. 21(2): 289-308 (2006) - [j5]Paula Brito, Monique Noirhomme-Fraiture:
Symbolic and spatial data analysis: Mining complex data structures. Intell. Data Anal. 10(4): 297-300 (2006) - [j4]Helena Brás Silva, Paula Brito, Joaquim Pinto da Costa:
A partitional clustering algorithm validated by a clustering tendency index based on graph theory. Pattern Recognit. 39(5): 776-788 (2006) - [c3]Paula Brito:
Modelling and Analysing Interval Data. GfKl 2006: 197-208 - [c2]Pedro Campos, Pavel Brazdil, Paula Brito:
Organizational Survival In Cooperation Networks: The Case Of Automobile Manufacturing. PRO-VE 2006: 77-84 - 2003
- [j3]Paula Brito, Donato Malerba:
Guest-editorial: Mining official data. Intell. Data Anal. 7(6): 497-500 (2003)
1990 – 1999
- 1995
- [j2]Paula Brito:
Symbolic objects: order structure and pyramidal clustering. Ann. Oper. Res. 55(2): 277-297 (1995) - 1994
- [j1]Paula Brito:
Order Structure of Symbolic Assertion Objects. IEEE Trans. Knowl. Data Eng. 6(5): 830-834 (1994) - 1993
- [c1]Edwin Diday, Paula Brito, E. Mfoumoune:
Learning Probabilistic Models by Conceptual Pyramidal Clustering. EPIA 1993: 362
Coauthor Index
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