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MARIA PAULA DE PINHO DE BRITO DUARTE SILVA. Concluiu o(a) Título de Agregado em Matemática Aplicada em 2018/10/24 pelo(a) Universidade do Porto Faculdade de Economia, Mestrado em Mestrado em Probabilidades e Estatística em 1989/02 pelo(a) Universidade de Lisboa Faculdade de Ciências, Licenciatura em Matemática Aplicada em 1984/07 pelo(a) Universidade do Porto Faculdade de Ciências e Doctorat em Doctorat des Universités em 1991/02/26 pelo(a) Université Paris Dauphine. É Professor Associado no(a) Universidade do Porto Faculdade de Economia. Publicou 23 artigos em revistas especializadas. Possui 5 capítulo(s) de livros e 3 livro(s). Recebeu 1 prémio(s) e/ou homenagens. Participa e/ou participou como Investigador em 2 projeto(s).
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Identification

Personal identification

Full name
MARIA PAULA DE PINHO DE BRITO DUARTE SILVA

Citation names

  • BRITO, PAULA

Author identifiers

Ciência ID
0B1A-DD19-07CE
ORCID iD
0000-0002-2593-8818

Knowledge fields

  • Exact Sciences - Mathematics - Statistics and Probability

Languages

Language Speaking Reading Writing Listening Peer-review
French Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Advanced (C1) Advanced (C1) Intermediate (B1) Advanced (C1)
German Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Italian Intermediate (B1) Intermediate (B1) Beginner (A1) Intermediate (B1)
Education
Degree Classification
2018/10/24
Concluded
 Matemática Aplicada (Título de Agregado)
Major in Matemática Aplicada
Universidade do Porto Faculdade de Economia, Portugal
 Aprovada por Unanimidade
1991/02/26
Concluded
 Doctorat des Universités (Doctorat)
Université Paris Dauphine, France
"Analyse de Données Symboliques. Pyramides d'Héritage." (THESIS/DISSERTATION)
 Très Honorable
1989/02
Concluded
 Mestrado em Probabilidades e Estatística (Mestrado)
Universidade de Lisboa Faculdade de Ciências, Portugal
"Métodos Não-Hierárquicos de Classificação. O Método NHMEAN." (THESIS/DISSERTATION)
 Muito Bom/Very Good
1984/07
Concluded
 Matemática Aplicada (Licenciatura)
Universidade do Porto Faculdade de Ciências, Portugal
"n/a" (THESIS/DISSERTATION)
 16/20
Affiliation

Science

Category
Host institution 		Employer
2008/01/01 - Current Principal Investigator (Research) Universidade do Porto Faculdade de Economia, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2003/12/10 - Current Associate Professor (University Teacher) Universidade do Porto Faculdade de Economia, Portugal
1996/10/01 - 2003/12/09 Assistant Professor (University Teacher) Universidade do Porto Faculdade de Economia, Portugal
1994/09/01 - 1996/09/30 Assistant Professor (University Teacher) Université Paris Dauphine, France
1993/02/01 - 1994/08/31 Assistant Professor (University Teacher) Universidade de Aveiro, Portugal
1984/10/01 - 1987/09/30 Assistant (University Teacher) Universidade Católica Portuguesa Escola Superior de Biotecnologia, Portugal
Projects

Contract

Designation Funders
2018/10/01 - Current Machine Learning based Profiling for Internet Security
PTDC/EEI-TEL/32454/2017
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência Center for Research in Advanced Computing Systems, Portugal
Ongoing
2019/01/01 - 2021/03/31 FIN-TECH: A FINancial supervision and TECHnology compliance programme
825215
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
Outputs

Publications

Book
  1. Brito, P; Dias, JG; Lausen, B; Montanari, A; Nugent, R. Classification and Data Science in the Digital Age. 2023.
    10.1007/978-3-031-09034-9
  2. Paula Brito. Analysis of Distributional Data. 2022.
    10.1201/9781315370545
  3. Brito, P. COMPSTAT 2008. 2008.
    10.1007/978-3-7908-2084-3
  4. Brito, P; Cucumel, G; Bertrand, P; de Carvalho, F. Selected Contributions in Data Analysis and Classification. 2007.
    10.1007/978-3-540-73560-1
  5. Campos, P.; Brazdil, P.; Brito, P.. Organizational survival in cooperation networks: The case of automobile manufacturing. 2006.
    10.1007/978-0-387-38269-2_8
Book chapter
  1. Dias, S; Brito, P. "Regression Analysis with the Distribution and Symmetric Distribution Model". 2022.
    10.1201/9781315370545-13
  2. Dias, S; Brito, P. "Fundamental Concepts about Distributional Data". 2022.
    10.1201/9781315370545-1
  3. Dias, S; Brito, P. "Descriptive Statistics based on Frequency Distribution". 2022.
    10.1201/9781315370545-2
  4. Chavent, M; Brito, P. "Divisive Clustering of Histogram Data". 2022.
    10.1201/9781315370545-6
  5. Ichino, M; Brito, P. "The Quantile Methods to Analyze Distributional Data". 2022.
    10.1201/9781315370545-4
  6. Brito, P. "Clustering of symbolic data". 2015.
    10.1201/b19706
  7. Noirhomme Fraiture, M; Brito, P; De Baenst Vandenbroucke, A; Nahimana, A. "Editing Symbolic Data". 2008.
    10.1002/9780470723562.ch5
  8. Brito, P; De Carvalho, FDAT. "Hierarchical and Pyramidal Clustering". 2008.
    10.1002/9780470723562.ch10
  9. Brito, P. "On the Analysis of Symbolic Data". 2007.
    10.1007/978-3-540-73560-1_2
  10. Brito, P. "Symbolic Clustering Of Probabilistic Data". 1998.
    10.1007/978-3-642-72253-0_52
  11. Brito, P. "Use of Pyramids in Symbolic Data Analysis". 1994.
    10.1007/978-3-642-51175-2_43
  12. Brito, P; Diday, E. "Pyramidal Representation of Symbolic Objects". 1990.
    10.1007/978-3-642-84218-4_1
  13. Diday, E; Brito, MP. "Symbolic Cluster Analysis". 1989.
    10.1007/978-3-642-75040-3_3
Conference paper
  1. Tavares, AnaHelena; Raymaekers, Jakob; Rousseeuw, PeterJ.; Silva, RaquelM.; Bastos, CarlosA.C.; Pinho, ArmandoJ.; Brito, Paula; Afreixo, Vera. "Dissimilar Symmetric Word Pairs in the Human Genome". 2017.
    10.1007/978-3-319-60816-7_30
  2. Giordano, G; Brito, P. "Social Networks as Symbolic Data". 2014.
    10.1007/978-3-319-06692-9_15
  3. Brito, P.; Chavent, M.. "Divisive monothetic clustering for interval and histogram-valued data". 2012.
  4. Brito, P.; Polaillon, G.. "Conceptual clustering with generalization by intervals | Classification Conceptuelle avec Généralisation par Intervalles". 2012.
  5. Brito, P.; Polaillon, G.. "Homogeneity and stability in conceptual analysis". 2011.
  6. Brito, P.. "Modelling and analysing interval data". 2007.
    10.1007/978-3-540-70981-7_23
  7. Brito, P; de Carvalho, FAT. "Symbolic clustering of constrained probabilistic data". 2003.
  8. Diday, E; Brito, P; Mfoumoune, E. "Learning Probabilistic Models by Conceptual Pyramidal Clustering". 1993.
    10.1007/3-540-57287-2_66
Edited book
  1. Venturini, G; Brito, P. Symbolic Data Analysis and Visualization: Special Issue in honor of Monique Noirhomme-Fraiture. 2015.
Journal article
  1. Park, You-Jin; Brito, Paula; Ma, Yun-Chen. "Anomaly detection-based undersampling for imbalanced classification problems". Engineering Optimization (2024): 1-14. http://dx.doi.org/10.1080/0305215x.2024.2315501.
    Published • 10.1080/0305215x.2024.2315501
  2. Verde, R; Batagelj, V; Brito, P; Silva, A; Korenjak Cerne, S; Dobša, J; Diday, E. "New skills in symbolic data analysis for official statistics". Statistical Journal of the IAOS (2024): https://www.authenticus.pt/P-016-YA3.
    10.3233/sji-240013
  3. Silva, CC; Brito, P; Campos, P. "Immigrant groups in the Luxembourgish labour market: A Symbolic Data Analysis approach". Statistical Journal of the IAOS (2024): https://www.authenticus.pt/P-017-3ZG.
    10.3233/sji-240063
  4. Alves, Hélder; Brito, Paula; Campos, Pedro. "Community detection in interval-weighted networks". Data Mining and Knowledge Discovery 38 2 (2023): 653-698. http://dx.doi.org/10.1007/s10618-023-00975-z.
    10.1007/s10618-023-00975-z
  5. D'Urso, P; De Giovanni, L; Maharaj, EA; Brito, P; Teles, P. "Wavelet-based fuzzy clustering of interval time series". INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2023):
    10.1016/j.ijar.2022.09.014
  6. Alves, H; Brito, P; Campos, P. "Centrality measures in interval-weighted networks". JOURNAL OF COMPLEX NETWORKS (2022):
    10.1093/comnet/cnac031
  7. Dias, S; Brito, P; Amaral, P. "Discriminant analysis of distributional data via fractional programming". European Journal of Operational Research (2021):
    10.1016/j.ejor.2021.01.025
  8. Silva, A; Brito, P; Filzmoser, P; Dias, J. "MAINT.Data: Modelling and Analysing Interval Data in R". The R Journal (2021):
    10.32614/rj-2021-074
  9. Maharaj, EA; Brito, P; Teles, P. "A test to compare interval time series". INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2021):
    10.1016/j.ijar.2021.02.008
  10. Tavares, AH; Raymaekers, J; Rousseeuw, PJ; Brito, P; Afreixo, V. "Clustering genomic words in human DNA using peaks and trends of distributions". ADVANCES IN DATA ANALYSIS AND CLASSIFICATION (2020):
    10.1007/s11634-019-00362-x
  11. Vieira, AR; Campos, P; Brito, P. "New contributions for the comparison of community detection algorithms in attributed networks". JOURNAL OF COMPLEX NETWORKS (2020):
    10.1093/comnet/cnaa044
  12. Maharaj, EA; Teles, P; Brito, P. "Clustering of interval time series". STATISTICS AND COMPUTING (2019):
    10.1007/s11222-018-09851-z
  13. Tavares, AH; Raymaekers, J; Rousseeuw, PJ; Silva, RM; Bastos, CAC; Pinho, A; Brito, P; Afreixo, V. "Comparing Reverse Complementary Genomic Words Based on Their Distance Distributions and Frequencies". INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES (2018):
    10.1007/s12539-017-0273-0
  14. Duarte Silva, APD; Filzmoser, P; Brito, P. "Outlier detection in interval data". ADVANCES IN DATA ANALYSIS AND CLASSIFICATION (2018):
    10.1007/s11634-017-0305-y
  15. Dias, S; Brito, P. "Off the beaten track: A new linear model for interval data". EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017):
    10.1016/j.ejor.2016.09.006
  16. Hron, K; Brito, P; Filzmoser, P. "Exploratory data analysis for interval compositional data". ADVANCES IN DATA ANALYSIS AND CLASSIFICATION (2017):
    10.1007/s11634-016-0245-y
  17. Brito, P.; Silva, A.P.D.; Dias, J.G.. "Probabilistic clustering of interval data". Intelligent Data Analysis 19 2 (2015): 293-313. http://www.scopus.com/inward/record.url?eid=2-s2.0-84928572252&partnerID=MN8TOARS.
    10.3233/ida-150718
  18. Dias, S.; Brito, P.. "Linear regression model with histogram-valued variables". Statistical Analysis and Data Mining 8 2 (2015): 75-113. http://www.scopus.com/inward/record.url?eid=2-s2.0-84928583172&partnerID=MN8TOARS.
    10.1002/sam.11260
  19. Teles, P; Brito, P. "Modeling Interval Time Series with Space-Time Processes". COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2015):
    10.1080/03610926.2013.782200
  20. Silva, APD; Brito, P. "Discriminant Analysis of Interval Data: An Assessment of Parametric and Distance-Based Approaches". JOURNAL OF CLASSIFICATION (2015):
    10.1007/s00357-015-9189-8
  21. Brito, P.. "Symbolic Data Analysis: Another look at the interaction of Data Mining and Statistics". Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 4 (2014): 281-295. http://www.scopus.com/inward/record.url?eid=2-s2.0-84906487104&partnerID=MN8TOARS.
    10.1002/widm.1133
  22. Brito, Paula; Pedro Duarte Silva, A.. "Modelling interval data with Normal and Skew-Normal distributions". Journal of Applied Statistics 39 1 (2012): 3-20.
    10.1080/02664763.2011.575125
  23. Noirhomme-Fraiture, M.; Brito, P.. "Far Beyond the Classical Data Models: Symbolic Data Analysis". Statistical Analysis and Data Mining 4 2 (2011): 157-170. http://www.scopus.com/inward/record.url?eid=2-s2.0-79953038607&partnerID=MN8TOARS.
    10.1002/sam.10112
  24. Santos, L.D.; Martins, I.; Brito, P.. "Measuring subjective quality of life: A survey to Porto's residents". Applied Research in Quality of Life 2 1 (2007): 51-64. http://www.scopus.com/inward/record.url?eid=2-s2.0-34548544372&partnerID=MN8TOARS.
    10.1007/s11482-007-9029-z
  25. Silva, HB; Brito, P; da Costa, JP. "A partitional clustering algorithm validated by a clustering tendency index based on graph theory". Pattern Recognition 39 5 (2006): 776-788.
    10.1016/j.patcog.2005.10.027
  26. de Carvalho, Francisco de A. T.; Brito, Paula; Bock, Hans-Hermann. "Dynamic clustering for interval data based on L-2 distance". Computational Statistics 21 2 (2006): 231-250.
    10.1007/s00180-006-0261-z
  27. Duarte Silva, Antonio Pedro; Brito, Paula. "Linear discriminant analysis for interval data". Computational Statistics 21 2 (2006): 289-308.
    10.1007/s00180-006-0264-9
  28. Brito, P; Polaillon, G. "Structuring probabilistic data by Galois lattices". Mathématiques et sciences humaines (2005):
    10.4000/msh.2873
  29. MARTINS, ISABEL; Santos, Luis Delfim; BRITO, PAULA. "O conceito de qualidade de vida na perspetiva dos residentes na cidade do Porto". Estudos Regionais 9 (2005): 5-18.
    Published
  30. Brito, P. "Hierarchical and Pyramidal Clustering for Symbolic Data". Journal of the Japanese Society of Computational Statistics (2003):
    10.5183/jjscs1988.15.2_231
  31. Brito, P.; Malerba, D.. "Mining official data". Intelligent Data Analysis 7 6 (2003): 497-500. http://www.scopus.com/inward/record.url?eid=2-s2.0-33847253773&partnerID=MN8TOARS.
  32. Rodríguez, O; Brito, MP; Diday, E. "Algoritmos para la clasificación piramidal simbólica". Revista de Matemática: Teoría y Aplicaciones (2000):
    10.15517/rmta.v7i1-2.178
  33. Brito, P; Brito, P.. "Symbolic objects: order structure and pyramidal clustering". Annals OR 55 2 (1995): 277-297. http://www.scopus.com/inward/record.url?eid=2-s2.0-21844502976&partnerID=MN8TOARS.
    10.1007/bf02030863
  34. Brito, P.. "Order structure of symbolic assertion objects". IEEE Transactions on Knowledge and Data Engineering 6 5 (1994): 830-835. http://www.scopus.com/inward/record.url?eid=2-s2.0-0028516892&partnerID=MN8TOARS.
    10.1109/69.317710

Other

Other output
  1. Special issue on New methodologies in clustering and classification for complex and/or big data. 2024. Brito, P; Cerioli, A; Garcia-Escudero, LA; Saporta, G. https://www.authenticus.pt/P-016-XV2.
    10.1007/s11634-024-00605-6
  2. Preface. 2023. Brito, P; Dias, G; Lausen, B; Montanari, A; Nugent, R. https://www.authenticus.pt/P-00Z-M1P.
  3. Community Detection in Interval-Weighted Networks. 2021. Alves, H; Brito, P; Campos, P.
    10.1007/s10618-023-00975-z
  4. PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese. 2016. Rocha, Conceicao; Jorge, Alipio; Sionara, Roberta; Brito, Paula; Pimenta, Carlos; Rezende, SolangeO..
  5. Editorial for Special Issue on Symbolic Data Analysis. 2015. Brito, P; Noirhomme Fraiture, M; Arroyo, J.
    10.1007/s11634-015-0202-1
  6. Preface. 2008. Brito, P; Figueiredo, A; Pires, A; Ferreira, AS; Marcelo, C; Figueiredo, F; Sousa, F; et al.
  7. Symbolic and spatial data analysis: Mining complex data structures. 2006. Brito, P; Noirhomme Fraiture, M.
Activities

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2019 - Current Classification and Data Science in the Digital Age, IFCS 2022, is the 17th conference of the International Federation of Classification Societies. It aims to be the flagship biennial meeting spanning the interdisciplinary fields of Classification and Data Science and their applications in many different areas (e.g., health, industry, government, society). IFCS is the meeting point of many different scientific cultures - classification and data science, statistics, probabilistic and mathematical modeling, machine learning, business analytics. (2022/07/19 - 2022/07/23)
Conference (Co-organisor)
 Universidade do Porto - Faculdade de Economia, Portugal

CLAD - Associação Portuguesa de Classificação e Análsie de Dados, Portugal
Distinctions

Title

2020 Presidente da Associação Portuguesa de Classificação e Análise de Dados
CLAD - Associação Portuguesa de Classificação e Análsie de Dados, Portugal
2013 President International Assocation of Statistical Computing (2013-2015)
International Association of Statistical Computing, Netherlands