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Pavel Brazdil is Full Professor of the Faculty of Economics (FEP) of University of Porto (UP) (since 1998). In 2019 received the title Professor Emeritus. He is a member of LIAAD INESC TEC, where he conducts most of his research. Pavel Brazdil is a founder of an internationally known Machine Learning / Data Mining group that exists since 1988 and now is a part of LIAAD Inesc Tec (Laboratory of AI and Decision Support). In his teaching carries he has been teaching courses on Information systems, Data Mining and Text Mining. He has supervised 14 PhD students and is currently supervising others. Although he has officially retired in mid-July 2015, he continues his R&D activities and some teaching at Master and Doctoral courses (e.g. MAPi, MADSAD) and supervision of post-graduate students. Pavel Brazdil is a Fellow of EurAI, The European Association for Artificial Intelligence (formely ECCAI) (since 2008). There are more than 4500 citations to his work on Google Scholar and his h-index on GS is 32.
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Identificação

Identificação pessoal

Nome completo
Pavel Brazdil

Nomes de citação

  • Brazdil, Pavel

Identificadores de autor

Ciência ID
CF1B-BA17-6001
ORCID iD
0000-0002-4720-0486

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Informação
Formação
Grau Classificação
1981
Concluído
 Artificial Intelligence (Doctor)
Especialização em Machine Learning
The University of Edinburgh, Reino Unido
"A Model for Error Detection and Correction" (TESE/DISSERTAÇÃO)
 NA
1963 - 1968
Concluído
 Electrical Engineering (Licence)
Especialização em Computer Engineering
Technical University of Brno (VUT), República Checa
"Diagnostics of a Computer" (TESE/DISSERTAÇÃO)
 Very good
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
1998 - Atual Professor Catedrático (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
1990 - 1998 Professor Associado (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
1984 - 1990 Professor Auxiliar (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
1982 - 1984 Professor Auxiliar Convidado (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
Projetos

Projeto

Designação Financiadores
2019 - 2022 Text2Story: extracting journalistic narratives from text and representing them in a narrative modeling language.
PTDC/CCI-COM/31857/2017
Investigador
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Em curso
2007 - 2011 VIP-ACESS - Ubiquitous Access for Visually Impaired People
PTDC/PLP/72142/2006
Investigador
Universidade do Porto Faculdade de Economia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2005 - 2008 Sumo, Automatic Text Summarization for Mobile technologies
POSC/PLP/57438/2004
Investigador
Fundação para a Ciência e a Tecnologia
Concluído
1999 - 2002 METAL - A META-learning Assistant for Providing User Support in Machine Learning and Data Mining
FP4_26357
Investigador responsável
Universidade do Porto, Portugal
Concluído
1997 - 2001 ECO - Extraction of Knowledge from Data
2/2.1/TIT/1649/95
Investigador responsável
Universidade do Porto Faculdade de Economia, Portugal
Concluído
1994 - 1995 Tempus JEN 1191
Tempus JEN 1191
Investigador responsável
1990 - 1993 Statlog, Statistical and Logical Learning Algorithms for Large-Scale Applications in Classification, Prediction and Control
5170
Investigador
Universidade do Porto, Portugal
Concluído
1989 - 1992 ECOLES, Development of representation in machine learning
39306
Investigador
Concluído
Produções

Publicações

Artigo em conferência
  1. Hetlerovic, D; Popelinsky, L; Brazdil, P; Soares, C; Freitas, F. "On Usefulness of Outlier Elimination in Classification Tasks". 2022.
    10.1007/978-3-031-01333-1_12
  2. Muhammad, SH; Adelani, DI; Ruder, S; Ahmad, IS; Abdulmumin, I; Bello, BS; Choudhury, M; et al. "NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis". 2022.
    Publicado
  3. Leite, R; Brazdil, P. "Exploiting Performance-based Similarity between Datasets in Metalearning". 2021.
  4. Guimaraes, D; Paulino, D; Correia, A; Trigo, L; Brazdil, P; Paredes, H. "Towards a Human-AI Hybrid Framework for Inter-Researcher Similarity Detection". 2021.
    10.1109/ichms53169.2021.9582633
  5. Muhammad, SH; Brazdil, P; Jorge, A. "Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon". 2020.
    10.1007/978-3-030-45442-5_81
  6. Nobrega, FAA; Jorge, AM; Brazdil, P; Pardo, TAS. "Sentence Compression for Portuguese". 2020.
    10.1007/978-3-030-41505-1_26
  7. Moutinho, V.; Brazdil, P.; Cordeiro, J.. "Association and Temporality between News and Tweets". Trabalho apresentado em 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vienna, 2019.
    Publicado • 10.5220/0008362105000507
  8. Abdulrahman, S.M.; Brazdil, P.; Zainon, W.; Adamu, A.. "Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms". Trabalho apresentado em 8th International Conference on Software and Computer Applications, Penang, 2019.
  9. Cordeiro, M; Sarmento, RP; Brazdil, P; Kimura, M; Gama, J. "Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks". 2019.
    10.1007/978-3-030-36687-2_17
  10. Abdulrahman, SM; Brazdil, P; Zainon, WMNW; Adamu, A. "Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms". 2019.
    10.1145/3316615.3316674
  11. Sarmento, R.P.; Cordeiro, M.; Brazdil, P.; Gama, J.. "Incremental TextRank - Automatic Keyword Extraction for Text Streams". Trabalho apresentado em 20th International Conference on Enterprise Information Systems, Madeira, 2018.
  12. Sarmento, R.P.; Cordeiro, M.; Brazdil, P.; Gama, J.. "Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks". Trabalho apresentado em 6th International Conference on Complex Networks and Their Applications, Lyon, 2017.
    10.1007/978-3-319-72150-7_28
  13. Abdulrahman, S.M.; Cachada, M.V; Brazdil, P.. "Impact of Feature Selection on Average Ranking Method via Metalearning". Trabalho apresentado em Thematic Conference on Computational Vision and Medical Image Processing, Porto, 2017.
    10.1007/978-3-319-68195-5_121
  14. Cachada, M.; Abdulrahman, SM; Brazdil, P.. "Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods". Trabalho apresentado em International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms, 2017.
  15. Souza-Roza, R; Brazdil, P.; Reis, J.L.; Cerdeira, A.; Martins, P.; Felgueiras, O.. "Data mining techniques for the grouping of certified wines from the sub-regions of the demarcated region of Vinho Verde [Técnicas de data mining para agrupamento dos vinhos certificados das sub-regiões da região demarcada dos Vinhos Verdes]". Trabalho apresentado em 17ª Conferência da Associação Portuguesa de Sistemas de Informação - CAPSI’2017, Guimarães, 2017.
    Publicado • 10.18803/capsi.v17.334-344
  16. Forte, A.C.; Brazdil, P.. "Determining the Level of Clients' Dissatisfaction from Their Commentaries". Trabalho apresentado em 12th International Conference on Computational Processing of the Portuguese Language - PROPOR 2016, Tomar, 2016.
    10.1007/978-3-319-41552-9_7
  17. Abdulrahman, S.M.; Brazdil, P.. "Effect of Incomplete Meta-dataset on Average Ranking Method". Trabalho apresentado em 2016 Workshop on Automatic Machine Learning - AutoML 2016, New York City, 2016.
  18. Trigo, L.; Víta, M.; Sarmento, R.P.; Brazdil, P.. "Retrieval, visualization and validation of affinities between documents". Trabalho apresentado em 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Lisbon, 2015.
    10.5220/0005662904520459
  19. van Rijn, J.N.; Abdulrahman, S.M.; Brazdil, P.; Vanschoren, J.. "Fast Algorithm Selection Using Learning Curves". Trabalho apresentado em 14th International Symposium on Intelligent Data Analysis, Saint Etienne, 2015.
    10.1007/978-3-319-24465-5_26
  20. Abdulrahman, S.M.; Brazdil, P.; van Rijn, J.N.; Vanschoren, J.. "Algorithm selection via meta-learning and sample-based active testing". Trabalho apresentado em 2015 International Conference on Meta-Learning and Algorithm Selection, Porto, 2015.
  21. Abdulrahman, S.M.; Brazdil, P.. "Measures for Combining Accuracy and Time for Meta-learning". Trabalho apresentado em 2014 International Conference on Meta-learning and Algorithm Selection, Prague, 2014.
  22. Cordeiro, J.; Dias, G.; Brazdil, P.. "Rule induction for sentence reduction". Trabalho apresentado em XVI Portuguese Conference on Artificial Intelligence - EPIA 2013, 2013.
    10.1007/978-3-642-40669-0_45
  23. Leite, R.; Brazdil, P.; Vanschoren, J.. "Selecting classification algorithms with active testing". Trabalho apresentado em 8th International Conference on Machine Learning and Data Mining - MLDM 2012, Berlin, 2012.
    Publicado • 10.1007/978-3-642-31537-4_10
  24. Moreira-Matias, L.; Mendes-Moreira, J.; Gama, J.; Brazdil, P.. "Text categorization using an ensemble classifier based on a mean co-association matrix". Trabalho apresentado em 8th International Conference on Machine Learning and Data Mining - MLDM 2012, Berlin, 2012.
    Publicado • 10.1007/978-3-642-31537-4_41
  25. Leite, R; Brazdil, P; Vanschoren, J. "Selecting classification algorithms with active testing on similar datasets". 2012.
  26. Grigonyte, G.; Cordeiro, J.; Dias, G.; Moraliyski, R.; Brazdil, P.. "Paraphrase alignment for synonym evidence discovery". Trabalho apresentado em 23rd international conference on Computational Linguistics - COLING '10, Beijing, 2010.
    Publicado
  27. Leite, R.; Brazdil, P.. "Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning". Trabalho apresentado em 19th European Conference on Artificial Intelligence - ECAI 2010, Lisbon, 2010.
  28. Leite, R.; Brazdil, P.. "An iterative process for building learning curves and predicting relative performance of classifiers". Trabalho apresentado em 13th Portuguese Conference on Artificial Intelligence - EPIA 2007, Guimarães, 2007.
    10.1007/978-3-540-77002-2_8
  29. Freitas, A.; Costa-Pereira, A.; Brazdil, P.. "Cost-sensitive decision trees applied to medical data". Trabalho apresentado em 9th International Conference, DaWak 2007, 2007.
    10.1007/978-3-540-74553-2_28
  30. Colas, F.; Paclík, P.; Kok, J.N.; Brazdil, P.. "Does SVM really scale up to large bag of words feature spaces?". Trabalho apresentado em 7th International Symposium on Intelligent Data Analysis, Ljubljana, 2007.
    10.1007/978-3-540-74825-0_27
  31. Cordeiro, J.; Dias, G.; Brazdil, P.. "Learning paraphrases from WNS corpora". Trabalho apresentado em 20th International Florida Artificial Intelligence Research Society Conference - FLAIRS 2007, Key West, Florida, 2007.
  32. Cordeiro, J.; Dias, G.; Brazdil, P.. "A Metric for Paraphrase Detection". Trabalho apresentado em International Multi-Conference on Computing in the Global Information Technology (ICCGI'07), 2007.
    10.1109/iccgi.2007.4
  33. Colas, F.; Brazdil, P.. "On the behavior of SVM and some older algorithms in binary text classification tasks". Trabalho apresentado em 9th International Conference, Brno, 2006.
    10.1007/11846406_6
  34. Colas, F.; Brazdil, P.. "Comparison of SVM and some older classification algorithms in text classification tasks". Trabalho apresentado em IFIP 19th World Computer Congress, Santiago, 2006.
    10.1007/978-0-387-34747-9_18
  35. Campos, P.; Brazdil, P.; Brito, P.. "Organizational survival in cooperation networks: The case of automobile manufacturing". Trabalho apresentado em 7th IFIP Working Conference on Visual Enterprises, Helsinki, 2006.
    10.1007/978-0-387-38269-2_8
  36. Soares, C.; Brazdil, P.. "Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features". Trabalho apresentado em 2006 ACM symposium on Applied computing - SAC '06, Dijon, 2006.
    10.1145/1141277.1141408
  37. Campos, P.; Brazdil, P.. "Imitation networks and organizational survival in the Portuguese industry". Trabalho apresentado em 12th Portuguese Conference on Artificial Intelligence - EPIA 2005, Covilhã, 2005.
    Publicado • 10.1109/epia.2005.341239
  38. Leite, R.; Brazdil, P.. "Predicting relative performance of classifiers from samples". Trabalho apresentado em 22nd international conference on Machine learning - ICML '05, Bonn, 2005.
    10.1145/1102351.1102414
  39. Freitas, A.; Brazdil, P.; Costa-Pereira, A.. "Mining Hospital Databases for Management Support". Trabalho apresentado em IADIS Virtual Multi Conference on Computer Science and Information Systems, 2005.
  40. Leite, R.; Brazdil, P.. "Improving progressive sampling via meta-learning on learning curves". Trabalho apresentado em 15th European Conference on Machine Learning - ECML 2004, Pisa, 2004.
    10.1007/978-3-540-30115-8_25
  41. Cordeiro, J.; Brazdil, P.. "Learning Text Extraction Rules without Ignoring Stop Words". Trabalho apresentado em 4th International Workshop on Pattern Recognition in Information Systems - PRIS, Porto, 2004.
  42. Leite, R.; Brazdil, P.. "A Meta-learning Approach to Improve Progressive Sampling". Trabalho apresentado em 4th International Workshop on Pattern Recognition in Information Systems - PRIS, Porto, 2004.
  43. Leite, R.; Brazdil, P.. "Improving progressive sampling via meta-learning". Trabalho apresentado em 11th Portuguese Conference on Artificial Intelligence - EPIA 2003, Beja, 2003.
    10.1007/978-3-540-24580-3_37
  44. Peng, Y.H.; Flach, P.A.; Soares, C.; Brazdil, P.. "Improved dataset characterisation for meta-learning". Trabalho apresentado em 5th International Conference on Discovery Science - DS 2002, Lübeck, 2002.
    10.1007/3-540-36182-0_14
  45. Soares, C.; Brazdil, P.. "A comparative study of some issues concerning algorithm recommendation using ranking methods". Trabalho apresentado em 8th Ibero-American Conference on Artificial Intelligence, Seville, 2002.
    10.1007/3-540-36131-6_9
  46. Soares, C.; Petrak, J.; Brazdil, P.. "Sampling-based relative landmarks: Systematically test-driving algorithms before choosing". Trabalho apresentado em 10th Portuguese Conference on Artificial Intelligence - EPIA 2001, Porto, 2001.
    10.1007/3-540-45329-6_12
  47. Brazdil, P.; Soares, C.; Pereira, R.. "Reducing rankings of classifiers by eliminating redundant classifiers". Trabalho apresentado em 10th Portuguese Conference on Artificial Intelligence - EPIA 2001, Porto, 2001.
    10.1007/3-540-45329-6_5
  48. Camacho, R.; Brazdil, P.. "Improving the Robustness and Encoding Complexity of Behavioural Clones". Trabalho apresentado em 12th European Conference on Machine Learning, Freiburg, 2001.
    10.1007/3-540-44795-4_4
  49. Brazdil, P.. "Ranking Classification Algorithms and Combinations of Methods". Trabalho apresentado em 1st International Workshop on Pattern Recognition in Information Systems - PRIS 2001, Setúbal, 2001.
  50. Soares, C.; Brazdil, P.. "Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information". Trabalho apresentado em PKDD 2000, 2000.
    10.1007/3-540-45372-5_13
  51. Soares, C.; Brazdil, P.; Costa, J.. "Measures to evaluate rankings of classification algorithms". Trabalho apresentado em 7th Conference of the International Federation of Classification Societies, Namur, 2000.
  52. Brazdil, P.; Soares, C.. "A comparison of ranking methods for classification algorithm selection". Trabalho apresentado em 11th European Conference on Machine Learning, Barcelona, 2000.
    10.1007/3-540-45164-1_8
  53. Lopes, A.A.; Brazdil, P.. "Redundant Covering with Global Evaluation in the RC1 Inductive Learner". Trabalho apresentado em 14th Brazilian Symposium on Artificial Intelligence - SBIA’98, Porto Alegre, 1998.
    10.1007/10692710_12
  54. Jorge, A.; Brazdil, P.. "Integrity constraints in ILP using a Monte Carlo approach". Trabalho apresentado em 6th International Workshop, Stockholm, 1996.
    10.1007/3-540-63494-0_58
  55. Gama, J.; Brazdil, P.. "Characterization of Classification Algorithms". Trabalho apresentado em 7th Portuguese Conference on Artificial Intelligence, Funchal, Madeira Island, 1995.
    10.1007/3-540-60428-6_16
  56. Jorge, A.; Brazdil, P.. "Learning recursion with iterative bootstrap induction". Trabalho apresentado em 8th European Conference on Machine Learning, Heraclion, Crete, 1995.
    10.1007/3-540-59286-5_72
  57. Brazdil, P.; Jorge, A.. "Learning by Refining Algorithm Sketches". Trabalho apresentado em 11th European Conference on Artificial Intelligence - ECAI '94, Amsterdam, 1994.
  58. Brazdil, P.; Gama, J.; Henery, B.. "Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning". Trabalho apresentado em European Conference on Machine Learning, Catania, 1994.
    10.1007/3-540-57868-4_52
  59. Brazdil, P.. "Approaches to inductive logic programming". Trabalho apresentado em International Summer School, Prague, 1992.
    10.1007/3-540-55681-8_34
  60. Brazdil, P.; Bruha, I.. "A Method of Processing Unknown Attribute Values by ID3". Trabalho apresentado em Fourth International Conference on Computing and Information - ICCI '92, Toronto, Ontario, 1992.
  61. Brazdil, P.; Gams, M.; Sian, S.; Torgo, L.; Van de Velde, W.. "Learning in Distributed Systems and Multi-Agent Environments". Trabalho apresentado em European Working Session on Learning, Porto, 1991.
    10.1007/BFb0017034
  62. Brazdil, P.; Muggleton, S.. "Learning to Relate Terms in a Multiple Agent Environment". Trabalho apresentado em European Working Session on Learning, Porto, 1991.
    10.1007/BFb0017035
  63. Brazdil, P.. "Knowledge States and Meta-Knowledge Maintenance". Trabalho apresentado em Second European Working Session on Learning, Bled, 1987.
  64. Brazdil, P.. "Use of Derivation Trees in Discrimination". Trabalho apresentado em 6th European Conference on Artificial Intelligence - ECAI-84, Pisa, 1984.
  65. Brazdil, P.. "Use of Metalogical Primitives in Communication". Trabalho apresentado em 6th European Conference on Artificial Intelligence - ECAI-84, Pisa, 1984.
  66. Brazdil, P.. "Experimental Learning Model". Trabalho apresentado em Third AISB/GI Conference on Artificial Intelligence, Hamburg, 1978.
  67. Brazdil, P.. "Learning Simple Arithmetic". Trabalho apresentado em 5th International Joint Conference on Artificial Intelligence - IJCAI-77, Cambridge, Massachusetts, 1977.
Artigo em revista
  1. Muhammad, SH; Abdulmumin, I; Ayele, AA; Ousidhoum, N; Adelani, DI; Yimam, SM; Ahmad, IS; et al. "AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages". CoRR (2023):
  2. António Correia; Diogo Guimarães; Hugo Paredes; Benjamim Fonseca; Dennis Paulino; Luís Trigo; Pavel Brazdil; et al. "NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection". IEEE Transactions on Human-Machine Systems (2023): https://doi.org/10.1109/THMS.2023.3319290.
    Publicado • 10.1109/THMS.2023.3319290
  3. Brazdil, P; Muhammad, SH; Oliveira, F; Cordeiro, J; Silva, F; Silvano, P; Leal, A. "Semi-Automatic Approaches for Exploiting Shifter Patterns in Domain-Specific Sentiment Analysis". MATHEMATICS (2022):
    10.3390/math10183232
  4. Muhongo, TS; Brazdil, PB; Silva, F. "Detection of Loanwords in Angolan Portuguese: A Text Mining Approach". INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE (2022):
    10.4114/intartif.vol25iss69pp87-106
  5. Sarmento, RP; Cardoso, DdO; Gama, J; Brazdil, P. "Contextualization for the Organization of Text Documents Streams". CoRR (2022):
  6. Sarmento, RP; Cardoso, DO; Dearo, K; Brazdil, P; Gama, J. "Text documents streams with improved incremental similarity". SOCIAL NETWORK ANALYSIS AND MINING (2021):
    10.1007/s13278-021-00826-z
  7. Abdulrahman, SM; Brazdil, P; van Rijn, JN; Vanschoren, J. "Speeding up algorithm selection using average ranking and active testing by introducing runtime". Machine Learning 107 1 (2018): 79-108.
    Publicado • 10.1007/s10994-017-5687-8
  8. Silva, F.; Silvano, P.; Leal, A.; Oliveira, F.; Brazdil, P.; Cordeiro, J.; Oliveira, D.. "Análise de sentimento em artigos de opinião". Linguística - Revista de Estudos Linguísticos da Universidade do Porto 13 (2018): 79-114.
  9. Brazdil, P.; Giraud-Carrier, C.. "Metalearning and Algorithm Selection: Progress, State of the Art and Introduction to the 2018 Special Issue, in Special Issue on Metalearning and Algorithm Selection". Machine Learning 107 1 (2018): 1-14.
    10.1007/s10994-017-5692-y
  10. Kanda, J; de Carvalho, A; Hruschka, E; Soares, C; Brazdil, P. "Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features". Neurocomputing 205 (2016): 393-406. http://repositorio.inesctec.pt/handle/123456789/4483.
    Publicado • 10.1016/j.neucom.2016.04.027
  11. Pinto, Fábio; Soares, Carlos; Brazdil, Pavel. "Combining regression models and metaheuristics to optimize space allocation in the retail industry". Intelligent Data Analysis 19 1 (2015): 149-162. https://repositorio.inesctec.pt/handle/123456789/4542.
    Publicado • 10.3233/ida-150775
  12. Valizadeh, M.; Brazdil, P.. "Density-based graph model summarization: Attaining better performance and efficiency". Intelligent Data Analysis 19 3 (2015): 617-629. http://dx.doi.org/10.3233/ida-150735.
    10.3233/ida-150735
  13. Valizadeh, Mohammadreza; Brazdil, Pavel. "Exploring actor–object relationships for query-focused multi-document summarization". Soft Computing 19 11 (2015): 3109-3121. http://dx.doi.org/10.1007/s00500-014-1471-x.
    10.1007/s00500-014-1471-x
  14. Brazdil, P.; Trigo, L.; Cordeiro, J.; Sarmento, R.; Valizadeh, M.. "Affinity Mining of Documents Sets via Network Analysis, Keywords and Summaries". Oslo Studies in Language 7 1 (2015): 183-207. https://journals.uio.no/osla/article/view/1456.
    Publicado
  15. Correia-Gomes, Carla; Economou, Theodoros; Bailey, Trevor; Brazdil, Pavel; Alban, Lis; Niza-Ribeiro, João. "Transmission parameters estimated for Salmonella typhimurium in swine using susceptible-infectious-resistant models and a Bayesian approach". BMC Veterinary Research 10 1 (2014): http://dx.doi.org/10.1186/1746-6148-10-101.
    Publicado • 10.1186/1746-6148-10-101
  16. Brazdil, Pavel; Valizadeh, Mohammadreza. "Unsupervised Method for Re-ranking the Initial Retrieval Results of IR Based on a Query-Sensitive Similarity Measure". Journal of Research and Practice in Information Technology 45 1 (2014):
    Publicado
  17. Campos, Pedro; Brazdil, Pavel; Mota, Isabel. "Comparing Strategies of Collaborative Networks for R&D: An Agent-Based Study". Computational Economics 42 1 (2013): 1-22. http://dx.doi.org/10.1007/s10614-013-9376-9.
    10.1007/s10614-013-9376-9
  18. Freitas, Alberto; Silva-Costa, Tiago; Lopes, Fernando; Garcia-Lema, Isabel; Teixeira-Pinto, Armando; Brazdil, Pavel; Costa-Pereira, Altamiro. "Factors influencing hospital high length of stay outliers". BMC Health Services Research 12 1 (2012): http://dx.doi.org/10.1186/1472-6963-12-265.
    Publicado • 10.1186/1472-6963-12-265
  19. Leite, R.; Brazdil, P.. "Active testing strategy to predict the best classification algorithm via sampling and metalearning". Frontiers in Artificial Intelligence and Applications 215 (2010): 309-314. http://www.scopus.com/inward/record.url?eid=2-s2.0-77956031602&partnerID=MN8TOARS.
    Publicado • 10.3233/978-1-60750-606-5-309
  20. Brazdil, P.; Leite, R.. "Determining the best classification algorithm with recourse to sampling and metalearning". Studies in Computational Intelligence 262 (2010): 173-188. http://www.scopus.com/inward/record.url?eid=2-s2.0-74049115479&partnerID=MN8TOARS.
    Publicado • 10.1007/978-3-642-05177-7_8
  21. Brazdil, P.; Colas, F.. "Comparison of SVM and some older Classification Algorithms in Text Classification Tasks". IFIP - International Federation for Information Processing 217 1 (2010):
  22. Vieira, J.; Cardoso, C. S.; Pinto, J.; Patil, K.; Brazdil, P.; Cruz, E.; Mascarenhas, C.; et al. "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 (2007): 359-367. http://dx.doi.org/10.1111/j.1744-313x.2007.00700.x.
    Publicado • 10.1111/j.1744-313x.2007.00700.x
  23. Cordeiro, J.; Dias, G.; Brazdil, P.. "New Functions for Unsupervised Asymmetrical Paraphrase Detection". Journal of Software 2 4 (2007): 12-23. http://dx.doi.org/10.4304/jsw.2.4.12-23.
    10.4304/jsw.2.4.12-23
  24. Vieira, J.; Cardoso, C.S.; Pinto, J.; Patil, K.; Brazdil, P.; Cruz, E.; Mascarenhas, C.; et al. "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 (2007): 509-509.
  25. Patil, K.; Brazdil, P.. "SumGraph: text summarization using centrality in the pathfinder network". IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS 2 1 (2007): 18-32.
  26. Vilalta, R.; Giraud-Carrier, C.; Brazdil, P.; Soares, C.. "Using Meta-Learning to Support Data Mining". International Journal of Cumputer Science and Applications 1 1 (2004): 31-45. http://www.tmrfindia.org/ijcsa/V1I13.pdf.
  27. Soares, C.; Brazdil, P.; Kuba, P.. "A Meta-Learning Method to Select the Kernel Width in Support Vector Regression". Machine Learning 54 3 (2004): 195-209. http://dx.doi.org/10.1023/b:mach.0000015879.28004.9b.
    10.1023/b:mach.0000015879.28004.9b
  28. Brazdil, P.; Soares, C.; da Costa, J.P.. "Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results". Machine Learning 50 3 (2003): 251-277. http://www.scopus.com/inward/record.url?eid=2-s2.0-0037361994&partnerID=MN8TOARS.
    10.1023/A:1021713901879
  29. Gama, J.; Brazdil, P.. "Cascade generalization". Machine Learning 41 3 (2000): 315-343. http://www.scopus.com/inward/record.url?eid=2-s2.0-0034541162&partnerID=MN8TOARS.
    10.1023/a:1007652114878
  30. Gama, J.; Brazdil, P.. "Linear tree". Intelligent Data Analysis 3 1 (1999): 1-22. http://www.scopus.com/inward/record.url?eid=2-s2.0-12444274649&partnerID=MN8TOARS.
    10.1016/s1088-467x(99)00002-5
  31. Brazdil, P.. "Modelos de aprendizagem em IA e Psicologia". Psicologia 4 1/2 (1983): 51-56. https://revista.appsicologia.org/index.php/rpsicologia/article/view/870.
Capítulo de livro
  1. Muhammad, SH; Brazdil, P; Jorge, A. "Combining symbolic and deep learning approaches for sentiment analysis". 2023.
    10.3233/faia230155
  2. Fernando Freitas; Pavel Brazdil; Carlos Soares. "Exploring the Reduction of Configuration Spaces of Workflows". 2023.
    10.1007/978-3-031-45275-8_3
  3. Cordeiro, J.; Brazdil, P.; Leal, A.. "Empirical study of verbs and prepositions in European Portuguese with recourse to Web/Text Mining". In Verbs, Movement and Prepositions, A. Leal (ed.), 103-122. Centro de Linguística da Universidade do Porto, Faculdade de Letras da Universidade do Porto, 2018.
    Publicado
  4. Cordeiro, M.; Sarmento, R.P.; Brazdil, P.; Gama, J.. "Evolving Networks and Social Network Analysis Methods and Techniques". In Social Media and Journalism: Trends, Connections, Implications, 101. IntechOpen, 2018.
    Publicado • 10.5772/intechopen.79041
  5. Brazdil, P.; Teixeira, F.. "Microeconomic Model Based on MAS Framework: Modeling an Adaptive Producer". In Dynamics, Games and Science I, 139-157. 2011.
    Publicado • 10.1007/978-3-642-11456-4_9
  6. Vilalta, R.; Giraud-Carrier, C.; Brazdil, P.. "Meta-Learning - Concepts and Techniques". In Data Mining and Knowledge Discovery Handbook, 717-731. Springer, 2010.
    Publicado • 10.1007/978-0-387-09823-4_36
  7. Freitas, A.; Brazdil, P.; Costa-Pereira, A.. "Cost-sensitive learning in medicine". In Data Mining and Medical Knowledge Management: Cases and Applications, 57-75. IGI Global, 2009.
    Publicado • 10.4018/978-1-60566-218-3.ch003
  8. Freitas, A.; Costa-Pereira, A.; Brazdil, P.. "Learning cost-sensitive decision trees to support medical diagnosis". In Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications, 287-307. IGI Global, 2009.
    Publicado • 10.4018/978-1-60566-748-5.ch013
  9. Vilalta, R.; Giraud-Carrier, C.; Brazdil, P.. "Meta-Learning". In Data Mining and Knowledge Discovery Handbook, 731-748. Springer, 2005.
    Publicado
  10. Gama, J.; Brazdil, P.. "Constructive Induction on Continuous Spaces". In Feature Extraction, Construction and Selection, 289-303. Springer US, 1998.
    Publicado
  11. Brazdil, P.; Henery, R.J.. "Chapter 10: Analysis of Results". In Machine Learning, Neural and Statistical Classification, 175-212. Prentice Hall, 1994.
    Publicado
  12. Brazdil, P.; Clark, P.. "Learning from Imperfect Data". In Machine Learning, Meta-Reasoning and Logics, 207-232. Springer US, 1990.
    Publicado
  13. Brazdil, P.. "Transfer of Knowledge between Systems: Use of Meta-Knowledge in Debugging". In Machine and Human Learning: Advances in European Research, 229-248. Gp Courseware, 1989.
    Publicado
  14. Nunes, R.; Brazdil, P.. "Economics and Artificial Intelligence". In Nova Economia em Portugal: Estudos em homenagem a António Manuel Pinto Barbosa, 177-188. Universidade Nova de Lisboa, 1989.
    Publicado
Edição de livro
  1. Brazdil, P; Vanschoren, J; Hutter, F; Hoos, H. Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017. 2017.
  2. Vanschoren, J.; Brazdil, P.; Giraud-Carrier, C.; Kotthoff, L.. Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), Porto, Portugal, September 7th, 2015. CEUR-WS. 2015.
    Editor
  3. Gama, J; Costa, VS; Jorge, AM; Brazdil, P. Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009. 2009.
    10.1007/978-3-642-04747-3
  4. Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J. Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings. 2005.
  5. Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L. Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings. 2005.
  6. Brazdil, P; Jorge, A. Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving, 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001, Proceedings. 2001.
  7. Brazdil, P. Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings. 1993.
Edição de número de revista
  1. Brazdil, P.; Giraud-Carrier, C.. "Special Issue on Metalearning and Algorithm Selection". Machine Learning 107 1 (2018):
    Co-editor
  2. Giraud-Carrier, C.; Vilalta, R.; Brazdil, P.. "Special Issue: Meta-learning". Machine Learning 54 3 (2004):
    Co-editor
  3. Michalski, R.S.; Brazdil, P.. "Machine Learning". Machine Learning 50 3 (2003):
    Co-editor
Entrada de enciclopédia
  1. Brazdil, P.; Vilalta, R.; Giraud-Carrier, C.; Soares, C.. "Metalearning". In Encyclopedia of Machine Learning and Data Mining. Springer US, 2017.
    10.1007/978-1-4899-7687-1_543
  2. Vilalta, R.; Giraud-Carrier, C.; Brazdil, P.; Soares, C.. "Inductive Transfer". In Encyclopedia of Machine Learning and Data Mining. Springer US, 2017.
    10.1007/978-1-4899-7687-1_138
  3. Brazdil, P.; Vilalta, R.; Giraud-Carrier, C.; Soares, C.. "Metalearning". In Encyclopedia of Machine Learning. Springer US, 2010.
    10.1007/978-0-387-30164-8_538
Livro
  1. Brazdil, Pavel; van Rijn, Jan N.; Soares, Carlos; Vanschoren, Joaquin. Metalearning: Applications to Automated Machine Learning and Data Mining (2nd ed.). Springer International Publishing. 2022.
    Publicado • 10.1007/978-3-030-67024-5
  2. Brazdil, P.; Giraud-Carrier, C.; Soares, C.; Vilalta, R.. Metalearning - Applications to Data Mining. Springer-Verlag. 2009.
    10.1007/978-3-540-73263-1
Prefácio / Posfácio
  1. Gama, J.; Costa, V.S.; Jorge, A.; Brazdil, P.. "Preface". Prefácio para Discovery Science, V-VI. 2009.
    Publicado
  2. Brazdil, P.; Giraud-Carrier, C.; Soares, C.; Vilalta, R.. "Cognitive Technologies: Preface". Prefácio para Cognitive Technologies, VII-X. 2009.
    Publicado
  3. Jorge, A.; Torgo, L.; Brazdil, P.; Camacho, R.; Gama, J.. "Preface". Prefácio para Knowledge Discovery in Databases: PKDD 2005, V-V. 2005.
  4. Giraud-Carrier, C.; Vilalta, R.; Brazdil, P.. "Introduction to the special issue on meta-learning". Prefácio para Machine Learning, 187-193. 2004.
  5. Michalski, R.S.; Brazdil, P.. "Introduction". Prefácio para Machine Learning, 219-222. 2003.
    10.1023/A:1021756216900
  6. Brazdil, P.; Jorge, A.. "Preface". Prefácio para Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, V-VI. 2001.

Outros

Outra produção
  1. Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs. 2018. Sarmento, RP; Brazdil, P.
  2. Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks. 2018. Cordeiro, M; Sarmento, RP; Brazdil, P; Gama, J.
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2018 - 2023 Domain-specific and Context-aware Approaches to Sentiment Analysis
Orientador de Shamsuddeen Hassan Muhammad
 MAPi (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
2017 - 2023 Scaling-up Retrieval, Visualization and Validation of Similarities among Document Sets
Coorientador de Rui Sarmento
 PRODEI (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2022 Estudo Comparativo de Formas Lexicais em Português Angolano e Europeu
Coorientador de Timóteo S Muhongo
 Ciências de Linguagem - HLT (Doutoramento)
Universidade do Porto Faculdade de Letras, Portugal
2012 - 2018 Estudo de Comunidades de Investigadores com Recurso à Text Mining em Bases de Dados Bibliográficas
Coorientador de Luís Trigo
 Ciências de Linguagem - HLT (Doutoramento)
Universidade do Porto Faculdade de Letras, Portugal
2014 - 2017 Improving Algorithm Selection Methods using Meta-Learning by Considering Accuracy and Run Time
Orientador de Salisu Abdulrahman
 MAPi (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
2011 - 2014 Improving the Performance of Text Summarization
Orientador de Mohammadreza Valizadeh
 MAPi (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
2011 - 2014 Salmonella in swine in Portugal: Characterization of risk factors and modelling infection
Coorientador de Carla S.C. Gomes
Universidade do Porto Instituto de Ciências Biomédicas Abel Salazar, Portugal
2008 - 2011 Rule induction for Sentence Reduction
Coorientador de João P.C.Cordeiro
Universidade da Beira Interior, Portugal
2005 - 2008 Organizational Survival and the Emergence of Collaborative Networks: a Multi-Agent Approach
Orientador de Pedro Campos
Universidade do Porto Faculdade de Economia, Portugal
2004 - 2008 Control of Process of Knowledge Extraction from Data and Data Mining
Orientador de Rui Leite
Universidade do Porto Faculdade de Ciências, Portugal
2004 - 2007 Uso de Técnicas de Data Mining para Análise de Dados Hospitalares com Finalidade de Gestão
Coorientador de J. Alberto sa Silva Freitas
Universidade do Porto Faculdade de Economia, Portugal
2001 - 2004 Learning Rankings of Learning Algorithms
Orientador de Carlos Soares
Universidade do Porto Faculdade de Ciências, Portugal
1998 - 2001 Regras e Casos: Uma Abordagem à Aprendizagem Relacional Multi-Estratégia
Orientador de Alneu Lopes
Universidade do Porto Faculdade de Ciências, Portugal
1997 - 2000 Inducing Models of Human Control Skills using Machine Learning Algorithms
Orientador de Rui Camacho
Universidade do Porto Faculdade de Engenharia, Portugal
1997 - 2000 Combining Classification Algorithms
Orientador de João Manel Portela da Gama
Universidade do Porto Faculdade de Ciências, Portugal
1997 - 2000 Inductive Learning of Tree-based Regression Models
Orientador de Luís Fernando Raínho Alves Torgo
Universidade do Porto Faculdade de Ciências, Portugal
1995 - 1998 Iterative Induction of Logic Programs
Orientador de Alípio Mário Guedes Jorge
Universidade do Porto Faculdade de Ciências, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2005 - 2005 Program Co-chair of ECML/PKDD-2005, European Conference on Machine Learning (2008 - 2008)
Congresso (Coorganizador)
2001 - 2001 Program Co-Chair of EPIA-2001, Portuguese Conference on Artificial Intelligence (2001 - 2001)
Congresso (Coorganizador)
1993 - 1993 Program Chair of ECML-1993, European Conference on Machine Learning (1993 - 1993)
Congresso (Coorganizador)
1985 - 1985 Program Co-chair of EPIA-1985, Portuguese Conference on Artificial Intelligence (1985 - 1985)
Congresso (Coorganizador)

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2019 A system for selecting and evaluating clustering algorithms and their parameters, ITMO, St.Petersburg, Russia
Arguente
 Sergey Muravyov (Doutoramento)
2019 Seeking robustness in multilingual world: from pipelines to embeddings Yerai Doval (Doutoramento)
Universidade da Coruña, Espanha
2019 Pattern Mining in Dynamic Graphs
Arguente
 Karel Vaculik (Doutoramento)
Masarykova univerzita, República Checa
2019 Modelos de Mistura Finita
Arguente
 José G. Dias (Agregação)
ISCTE-Instituto Universitário de Lisboa, Portugal
2018/10 Lição Symbolic Data Analysis
Arguente
 Maria Paula de Pinho de Brito Duarte Silva (Agregação)
Universidade do Porto Faculdade de Economia, Portugal
2018 Corpus-based Construction of Sentiment Lexicon to Identify Extreme Opinions by Supervised and Unsupervised Machine learning Methods
Arguente
 Sattam Mohammad Ata Al-Matarneh (Doutoramento)
Universidade de Santiago de Compostela - Campus Vida, Espanha
2018 Leveraging Metalearning for Bagging Classifiers, FEUP, Porto, Portugal
Vogal
 Fábio Hernâni dos Santos Costa Pinto (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 Automated Machine Learning: Bayesian Optimization, Meta-Learning & Applications
Arguente
 Martin Wistuba (Doutoramento)
Universität Hildesheim, Alemanha

Arbitragem científica em conferência

Nome da conferência Local da conferência
1993 - 2019 ECML PKDD 2019, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
2001 - 2018 KDD 2018, SIGKDD Conference on Knowledge Discovery and Data Mining
1997 - 2018 ICML, International Conference on Machine Learning
1995 - 2018 IJCAI 2018, International Joint Conference on Artficial Intelligence
1985 - 2017 EPIA, Encontro Português de Inteligência Artificial
1990 - 2010 ECAI, European Conference on Artificial Intelligence

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2024 - Atual Internation Journal Data Science and Analytics
2019 - 2019 Information Processing & Management (0306-4573) Elsevier
2019 - 2019 New Generation Computing (1882-7055) Springer-Verlag
2013 - 2019 Machine Learning Springer
2018 - 2018 International Journal of Data Science and Analytics (2364-4168) Springer-Verlag
2017 - 2017 Journal of Heuristics (1572-9397) Springer-Verlag
2016 - 2016 Expert Systems with Applications (0957-4174) Elsevier
2015 - 2016 Data Mining and Knowledge Discovery (1573-756X) Springer-Verlag
Distinções

Prémio

2007 Outstanding Paper Award, K. Patil and P.Brazdil, Text Summarization: Using Centrality in the Pathfinder Network
IADIS Int. Conference on Applied Computing, Espanha
2000 Best PhD Thesis award awarded jointly to Dr. João Gama and the supervisor (P.Brazdil) by the organizers of SBIA/IBERAMIA-00 Conference
1984 Best paper award, P.Brazdil, Use of Derivation Trees in Discrimination, ECAI 1984, Pisa

Título

2019 Professor Emérito
2008 Fellow of EurAI, The European Association for Artificial Intelligence (formely ECCAI)

Outra distinção

2019 Homenagem da Associação Portuguesa para a Inteligência Artificial pelos serviços prestados a comunidade