Pavel Bernard Brazdil comes from Czech Republic where he obtained a degree in Electrical Engineering in 1968. In 1981 obtained his Ph.D. degree in Artificial Intelligence at the University of Edinburgh. In 1982 he moved to Portugal to lecture at the University of Porto (Fac. of Economics). In 1996 he obtained habilitation at the same Faculty and since 1998 holds the post of Full Professor. He has lectured subjects at both under-graduate and post-graduate level. He has supervised 10 Ph.D. students, all of whom have completed their studies and other two are in progress. Besides he has supervised 16 M.Sc. students. Between 2007-11 he was the Director / Scientific Coordinator of R&D Unit LIAAD-INESC Porto L.A. LIAAD and its researchers are well known both in Europe and world-wide for their activities and has a regular influx of visitors and post-graduate students from abroad. He has more than 20 years of experience in coordination, as he was one of the founder of another R&D Unit (LIACC) in 1988. Currently, his research activity is focused mainly in sub-areas of Artificial Intelligence, namely machine learning, data mining, meta-learning, text mining, information extraction, adaptive modeling among others. His Ph.D. work was carried is in the area of Machine Learning and when it was carried out, there was relatively little done in this area. The area underwent major expansion later over the last 30 years. Pavel Brazdil contributed to the development of the area Machine Learning also through his publications. He has published more than 100 articles. Besides, he has (co-)authored/edited 5 books by major publishing houses (Springer, Kluwer) and is the one of the authors of the book on Metalearning, published by Springer in 2009. Besides, he has (co-)edited 2 special issues of Machine Learning Journal (MLJ) and published various articles in this journal. A considerable number of publications are referred to on ISI (28) and several of them have dozens of citations. He is a member of editorial boards of several international journals, including the prestigious Machine Learning Journal. Pavel Brazdil contributed to the development of the area of Machine Learning also by his involvement in organizations of workshops and conferences in Europe and elsewhere. Overall he has organized more than 10 conferences or workshops in the areas related to Machine Learning and Data Mining. He has served also on program committees of many top conferences in the area. Pavel Brazdil has promoted the emergence of the sub-area of Meta-Learning and more recently, Planning to Learn. The first topic was covered in two European projects (StatLog, Metal). He is a member of Portuguese Association of Artificial Intelligence and has served as its President for two terms (2000-03). Since 2008 he has the honor to be one of the ECCAI Fellows.
Endereço de acesso a este CV: http://www.degois.pt/visualizador/curriculum.jsp?key=6344571940175736

Nome completo Full name	Pavel B. Brazdil
Nome em citações bibliográficas Quoting name	Brazdil, Pavel B.
Domínio científico de atuação Scientific domain	Ciências Exactas-Ciências da Computação e da Informação.

Endereço profissional Professional address

Universidade do Porto Laboratorio de Inteligencia Artificial e Apoio à Decisão (LIAAD) Address: LIAAD, University of Porto, Rua Dr. Roberto Frias, 378 Porto 4050--190 Porto Portugal Telefone: (+351)222094052 Correio electrónico: pbrazdil@fep.up.pt Homepage: http://www.liaad.up.pt/~pbrazdil

Sexo Gender

Masculino»Male

1981	Doutoramento Phd
PhD. University of Edinburgh, Reino Unido. Instituição portuguesa que atribuiu reconhecimento/equivalência/registo » Portuguese Instituition providing acknowledgement/equivalence/registry : Universidade do Porto. Com o tipo » With the type: Reconhecimento » Acknowledgement.

2007	Outstanding Paper Award for the work on "Text Summarization: Using Centrality in the Pathfinder Network", by Kaustubh Patil and P.Brazdil at IADIS Int. Conf. Applied Computing, Salamanca, 2007..

Actual

APPIA - Associação Portuguesa para a Inteligência Artificial, Membro.

Artigos em revistas com arbitragem científica Papers in periodics with scientific refereeing

1.	Vieira, Jorge; Cardoso, C.S.; Patil, Kaustubh; Brazdil, Pavel B; Cruz, E.; Mascarenhas, C.; Lacerda, R.. 2007. "Location of a putative gene contributing to the setting of CD8+T lymphocytes: A modifier of hereditary hemochromatosis expression?", American Journal of Hematology 82, 6: 509 - 509.

2.	Vieira, Jorge; Cardoso, C.S.; Patil, Kaustubh; Brazdil, Pavel B; Cruz, E.; Mascarenhas, C.; Lacerda, R.. 2007. "A Putative Gene Located at the MHC-CLASS I Region Around the D6S105 Marker Contributes to the Setting of CD8+ T Lymphocyte Numbers in Humans", International Journal of Immunogenetics 34, 5: 359 - 367.

3.	Patil, Kaustubh; Brazdil, Pavel B. 2007. "SumGraph: Text Summarization using Centrality in the Pathfinder Network", International Journal on Computer Science and Information Systems 2, 1: 18 - 32.

4.	Vilalta, Ricardo; Giraud-Carrier, C.; Brazdil, Pavel B; Soares, Carlos. 2004. "Using Meta-Learning to Support Data Mining", International Journal of Computer Science and Applications 1, 1: 31 - 45.

5.	Giraud-Carrier, C.; Vilalta, Ricardo; Brazdil, Pavel B. 2004. "Introduction to the Special Issue on Meta-Learning", Machine Learning 54, 3: 187 - 193.

6.	Soares, Carlos; Brazdil, Pavel B; Kuba, Petr. 2004. "A Meta-Learning Method to Select the Kernel Width in Support Vector Regression", Machine Learning 54, 3: 195 - 209.

7.	Brazdil, Pavel B; Soares, Carlos; Costa, Joaquim P. 2003. "Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results", Machine Learning 50, 3: 251 - 277.

8.	Michalski, Ryszard; Brazdil, Pavel B. 2003. "Introduction to the Special Issue of Machine Learning Journal on Multistrategy Learning", Introduction to the Special Issue of Machine Learning Journal on Multistrategy Learning 50, 3: 219 - 222.

9.	Michalski, Ryszard; Brazdil, Pavel B. 2002. "Special Issue on Multistrategy Learning", Machine Learning Journal, 1: 1 - 1.

10.	Gama, João; Brazdil, Pavel B. 2000. "Cascade Generalization", Machine Learning 41, 3: 315 - 343.

11.	Gama, João; Brazdil, Pavel B. 1999. "Linear Tree", Intelligent Data Analysis 3, 1: 1 - 22.

Artigos em revistas sem arbitragem científica Papers in periodics without scientific refereeing

1.	Cordeiro, João P; Dias, Gael; Brazdil, Pavel B. 2007. "New Functions for Unsupervised Asymmetrical Paraphrase Detection", Journal of Software 2, 4: 12 - 23.

Trabalhos completos/resumidos em eventos sem arbitragem científica Papers in conference proceedings without scientific refereeing

1.	Grigonyte, Gintare; Cordeiro, João P; Dias, Gael; Moraliyski, Rumen; Brazdil, Pavel B. 2010. "Paraphrase Alignment for Synonym Evidence Discovery", Trabalho apresentado em COLING 2010, In COLING 2010, Proceedings of the 23rd International Conference on Computational Linguistics, Beijing, China.

2.	Leite, Rui; Brazdil, Pavel B. 2010. "Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning", Trabalho apresentado em ECAI 2010, In ECAI 2010, Proceedings of the 19th European Conference on Artificial Intelligence, Lisbon, Portugal.

3.	Cordeiro, João P; Dias, Gael; Brazdil, Pavel B. 2009. "Unsupervised Induction of Sentence Compression Rules", Trabalho apresentado em ACL-UCNLP 2009, In Proceedings of the ACL-IJCNLP 2009 Workshop: Language Generation and Summarisation (UCNLG+Sum, Singapore, Singapore.

4.	Brazdil, Pavel B; Leite, Rui. 2008. "Selecting classifiers using metalearning with sampling landmarks and data characterization", Trabalho apresentado em ICML 2008, In Proceedings of the 2nd Planning to Learn Workshop (PlanLearn), associated with ICML/ COLT/ UAI 2008, Helsinki, Finland.

5.	Patil, Kaustubh; Brazdil, Pavel B. 2007. "Text Summarization: using Centrality in the Pathfinder Network", Trabalho apresentado em IADIS Conf. on Applied Computing 2007, In Proceedings of the IADIS Conf. on Applied Computing 2007, Salamanca, Spain.

6.	Leite, Rui; Brazdil, Pavel B. 2007. "An Iterative Process of Building Learning Curves and Predicting Relative Performance of Classifiers", Trabalho apresentado em ECML/ PKDD 2007, In Proceedings of the Planning to Learn Workshop (PlanLearn 2007), Warsaw, Poland.

7.	Colas, Fabrice; Paclik, Pavel; Kok, Joost N; Brazdil, Pavel B. 2007. "Does SVM Really Scale Up to Large Bag of Words Feature Spaces", Trabalho apresentado em IDA 2007, In Advances in Intelligent Data Analysis VII, Proceedings of the 7th International Symposium on Intelligent Data Analysis (IDA 2007), Ljubliana, Slovenia.

8.	Campos, Pedro; Brazdil, Pavel B; Patil, Kaustubh. 2007. "A Multi-Agent dynamic perspective of knowledge transmission in Collaboration Network", Trabalho apresentado em EAEPE 2007, In Proceedings of the European Association for Evolutionary Political Economy (EAEPE 2007), Oporto, Portugal.

9.	Cordeiro, João P; Dias, Gael; Brazdil, Pavel B. 2007. "A Metric for Paraphrase Detection", Trabalho apresentado em ICCGI 2007, In Proceedings of the 2nd International Multi-Conference on Computing in the Global Information Technology (ICCGI 2007), Guadeloupe, French Caribbean.

10.	Cordeiro, João P; Dias, Gael; Brazdil, Pavel B. 2007. "Unsupervised Learning of Paraphrase", Trabalho apresentado em CICLING 2007, In Proceedings of the 8th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2007), Mexico City, Mexico.

11.	Freitas, J. A; Costa-Pereira, Altamiro; Brazdil, Pavel B. 2007. "Effect of Costs on Medical Classification Problems", Trabalho apresentado em HIBIT 2007, In Proceedings of the International Symposium on Health Informatics and Bioinformatics (HIBIT 2007), Belek, Antalya, Turkey.

12.	Campos, Pedro; Patil, Kaustubh; Brazdil, Pavel B. 2007. "Comparing Strategies in Evolving Collaborative Networks", Trabalho apresentado em ECAL 2007, In Proceedings of the Workshop on Complex Adaptive Economic Systems, held in the 9th European Conference on Artificial Life (ECAL 2007), Lisbon, Portugal.

13.	Cordeiro, João P; Dias, Gael; Brazdil, Pavel B. 2007. "Learning Paraphrases from WNS Corpora", Trabalho apresentado em FLAIRS 2007, In Proceedings of the 20th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2007), KeyWest, Florida, USA.

14.	Leite, Rui; Brazdil, Pavel B. 2007. "An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers", Trabalho apresentado em EPIA 2007, In Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), Guimarães, Portugal.

15.	Freitas, J. A; Lopes, F.; Costa, T.; Brazdil, Pavel B; Costa-Pereira, Altamiro. 2006. "Explaining length of stay outliers using routinely collected data ", Trabalho apresentado em PCS/I - Patient Classification Systems International Conference, In Proceedings of the 22nd Patient Classification Systems International Conference (PCS/I), Singapore, Singapore.

16.	Colas, Fabrice; Brazdil, Pavel B. 2006. "Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks", Trabalho apresentado em 19th World Computer Congress, In Proceedings of the Conference on Artificial Intelligence in Theory and Practice held at the 19th World Computer Congress, Santiago do Chile, Chile.

17.	Soares, Carlos; Brazdil, Pavel B. 2006. "Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features", Trabalho apresentado em ACM Symposium on Applied Computing (SAC), In Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), Dijon, France.

18.	Campos, Pedro; Brazdil, Pavel B; Brito, Paula. 2006. "Organizational Survival in Cooperation Networks: The Case of Automobile Manufacturing ", Trabalho apresentado em Network-Centric Collaboration and Supporting Frameworks, In Proceedings of the 7th Working Conference on Virtual Enterprise, Helsinki, Finland.

19.	Leite, Rui; Brazdil, Pavel B. 2005. "Predicting Relative Performance of Classifiers from Samples ", Trabalho apresentado em ICML - International Conference on Machine Learning , In Proceeding of the 22nd International Conference on Machine Learning , Bonn, Germany.

20.	Campos, Pedro; Brazdil, Pavel B. 2005. "Density Dependence and the Survival of Firms: A Multi-Agent Approach", Trabalho apresentado em 6th Workshop on Agent-Based Simulation, In 6th Workshop on Agent-Based Simulation, Porto, Portugal.

21.	Campos, Pedro; Brazdil, Pavel B. 2005. "A Multi-Agent Approach to Technological Imitation and Collective Memory ", Trabalho apresentado em 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, In Workshop on Cooperative Multi-Agent Learning, 16th European Conference on Machine Learning, Porto, Portugal.

22.	Freitas, J. A; Brazdil, Pavel B; Costa-Pereira, Altamiro. 2005. "Mining hospital databases for management support", Trabalho apresentado em IADIS Virtual Multi Conference on Computer Science and Information Systems (MCCSIS 2005), In IADIS Virtual Multi Conference on Computer Science and Information Systems (MCCSIS 2005), Porto, Portugal.

23.	Campos, Pedro; Brazdil, Pavel B. 2005. "Simulating the Carrying Capacity within the Organizational Survival ", Trabalho apresentado em Conceptual Modeling and Simulation Conference - CMS 2005, In Conceptual Modeling and Simulation Conference - CMS 2005, Porto, Portugal.

24.	Freitas, J. A; Brazdil, Pavel B; Costa-Pereira, Altamiro. 2005. "Hospital Inpatient Data Analysis: Clustering Department Statistics ", Trabalho apresentado em ECML/PKDD-05 , In Proceedings of Workshop W11 on Data Mining and Business, Porto, Portugal.

25.	Campos, Pedro; Brazdil, Pavel B. 2005. "Imitation Networks and Organizational Survival in the Portuguese Industry", Trabalho apresentado em Proceedings of the 12th Portuguese Conference on Artificial Intelligence (EPIA 2005), In Proceedings of the 12th Portuguese Conference on Artificial Intelligence (EPIA 2005), Covilhã, Portugal.

26.	Campos, Pedro; Brazdil, Pavel B. 2005. "Simulating the Carrying Capacity within the Organizational Survival ", Trabalho apresentado em Conceptual Modeling and Simulation Conference, In Conceptual Modeling and Simulation Conference, Marseille, France.

27.	Leite, Rui; Brazdil, Pavel B. 2004. "A Meta-Learning Approach to Improve Progressive Sampling ", Trabalho apresentado em Pattern Recognition in Information Systems, In Proceedings of the 4th International Workshop (PRIS 2004), Porto, Portugal.

28.	Leite, Rui; Brazdil, Pavel B. 2004. "Improving Progressive Sampling via Meta-learning on Learning Curves", Trabalho apresentado em 15th European Conference on Machine Learning, In Proceedings of the 15th European Conference on Machine Learning, Pisa, Italy.

29.	Cordeiro, João P; Brazdil, Pavel B. 2004. "Learning Text Extraction Rules, without Ignoring Stop Words", Trabalho apresentado em Pattern Recognition in Information Systems, In Proceedings of the 4th International Workshop (PRIS 2004), Porto, Portugal.

30.	Gomes, Fernanda; Brazdil, Pavel B. 2004. "SMAGeB: Multi-agent System for Analysis of Strategies for Concessoin of Credit ", Trabalho apresentado em ECML/PKDD-04, In Proceedings of Workshop W4 on Data Mining and Adaptive Modelling Methods for Economics and Management, Pisa, Italy.

31.	Leite, Rui; Brazdil, Pavel B. 2003. "Improving Progressive Sampling via Meta-learning ", Trabalho apresentado em Progress in Artificial Intelligence, In Proceedings of the 11th Portuguese Conference on Artificial Intelligence (EPIA 2003), Beja, Portugal.

32.	Brazdil, Pavel B. 2003. "Recommending Data Mining Algorithms and Parameter Settings with the Help of Metalearning", Trabalho apresentado em ICAAI'2003, In Proceedings of the 2nd International Conference on Applied Artificial Intelligence (ICAAI'2003), Kolhapur, India.

33.	Brazdil, Pavel B. 2003. "Selection of Data Mining Algorithms with the Help of Metalearning ", Trabalho apresentado em DATAKON, In Proceedings of DATAKON, Brno, Czech Republic.

34.	Fernandes, Mario; Torgo, Luis; Brazdil, Pavel B. 2003. "Application of machine learning techniques to financial time series prediction ", Trabalho apresentado em IWAMEM-03, In Proceedings of the International Workshop on Data Mining and Adaptive Modelling Methods for Economics and Management (IWAMEM-03), Porto, Portugal.

35.	Loureiro, A.; Gomes, Fernanda; Camões, José L; Felizberto, Lúcia; Trigo, Luis; Monteiro, Marta; Brazdil, Pavel B; Fernandes, Mario; Escudeiro, Nuno; Almeida, Paulo; Almeida, Rui. 2003. "Experimental Study of Conditions Affecting the Rate of Convergence of a Multiagent Market Model ", Trabalho apresentado em IWAMEM-03, In Proceedings of the International Workshop on Data Mining and Adaptive Modelling Methods for Economics and Management (IWAMEM-03), Porto, Portugal.

36.	Kuba, Petr; Brazdil, Pavel B; Soares, Carlos; Woznica, A.. 2002. "Exploiting Sampling and Meta-Learning for Parameter Setting Support Vector Machines", Trabalho apresentado em IBERAMIA'02, In Workshop de Minería de Datos Y Aprendizaje of IBERAMIA'02, Seville, Spain.

Produção científica Scientific production

Total

Produção científica Scientific production

48

Artigos científicos em revistas Papers in periodics

12

Com arbitragem científica With scientific refereeing

11

Sem arbitragem científica Without scientific refereeing

1

Trabalhos em eventos Papers in conference proceedings

36

Sem arbitragem científica Without scientific refereeing

36

	Carlos Manuel Milheiro de Oliveira Pinto Soares
	João Manuel Portela da Gama