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About

Pavel Brazdil is a founder of a strong Machine Learning / Data Mining group that exists since 1988 and which now is a part of LIAAD Inesc Tec (Laboratory of AI and Decision Support). Pavel Brazdil is Full Professor (Prof. Catedrático) at the Faculty of Economics (FEP) of University of Porto, where he has been teaching courses on Information systems, Data Mining and Text Mining. He has supervised 12 PhD students. Although he has officially retired in mid-July 2015, he continues his R&D activities, including teaching at Master and Doctoral courses and supervision of post-graduate students.

Interest
Topics
Details

Details

  • Name

    Pavel Brazdil
  • Cluster

    Computer Science
  • Role

    Affiliated Researcher
  • Since

    01st January 2010
002
Publications

2022

On Usefulness of Outlier Elimination in Classification Tasks

Authors
Hetlerovic, D; Popelínský, L; Brazdil, P; Soares, C; Freitas, F;

Publication
Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings

Abstract

2022

Detection of Loanwords in Angolan Portuguese: A Text Mining Approach

Authors
Muhongo, TS; Brazdil, PB; Silva, F;

Publication
INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE

Abstract
Angola is characterized by many different languages and social, cultural and political realities, which had a marked effect on Angolan Portuguese (AP). Consequently, AP is characterized by diatopic variation. One of the marked effects is the loanwords imported from other Angolan languages. Our objective is to analyze different Angolan texts, analyze the lexical forms used and conduct a comparative study with European Portuguese, aiming at identifying the possible loanwords in Angolan Portuguese. This process was automated, as well as the identification of all loanwords' cotexts. In addition, we determine the lexical class of each loanword and the Angolan language of its origin. Most lexical loanwords come from the Kimbundu, although AP includes loanwords from some other Angolan languages too. Our study serves as a basis for preparing an Angolan regionalism dictionary. We noticed that more than 700 identified loanwords do not figure in the existing dictionaries.

2021

Towards a Human-AI Hybrid Framework for Inter-Researcher Similarity Detection

Authors
Guimarães, D; Paulino, D; Correia, A; Trigo, L; Brazdil, P; Paredes, H;

Publication
2nd IEEE International Conference on Human-Machine Systems, ICHMS 2021, Magdeburg, Germany, September 8-10, 2021

Abstract

2021

Text documents streams with improved incremental similarity

Authors
Sarmento, RP; Cardoso, DO; Dearo, K; Brazdil, P; Gama, J;

Publication
SOCIAL NETWORK ANALYSIS AND MINING

Abstract
There has been a significant effort by the research community to address the problem of providing methods to organize documentation, with the help of Information Retrieval methods. In this paper, we present several experiments with stream analysis methods to explore streams of text documents. This paper also presents possible architectures of the Text Document Stream Organization, with the use of incremental algorithms like Incremental Sparse TF-IDF and Incremental Similarity. Our results show that with this architecture, significant improvements are achieved, regarding efficiency in grouping of similar documents. These improvements are important since it is of general knowledge that great amounts of text analysis are a high dimensional and complex subject of study, in the data analysis area.

2021

Exploiting Performance-based Similarity between Datasets in Metalearning

Authors
Leite, R; Brazdil, P;

Publication
AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021.

Abstract

Supervised
thesis

2021

Segmentação fonética adaptativa em voz disfónica

Author
João Filipe Torres Costa

Institution
UP-FEUP

2021

Multidimensional Time Series Analysis: A Complex Networks Approach

Author
Vanessa Alexandra Freitas da Silva

Institution
UP-FCUP

2015

Análise de comentários de clientes com o auxílio a técnicas de Text Mining para determinar o nível de (in)satisfação

Author
Ana Catarina Barbosa Forte

Institution
UP-FEP

2015

Sentiment Analysis in Financial News

Author
Patrícia Alexandra Lopes Antunes

Institution
UP-FEP

2015

Development of a support system for workflow design for data mining problems that exploits Meta-learning

Author
Salisu Mamman Abdulrahman

Institution
UP-FEP