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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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Identification

Personal identification

Full name
Pavel Brazdil

Citation names

  • Brazdil, Pavel

Author identifiers

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

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Information Science
Education
Degree Classification
1981
Concluded
 Artificial Intelligence (Doctor)
Major in Machine Learning
The University of Edinburgh, United Kingdom
"A Model for Error Detection and Correction" (THESIS/DISSERTATION)
 NA
1963 - 1968
Concluded
 Electrical Engineering (Licence)
Major in Computer Engineering
Technical University of Brno (VUT), Czech Republic
"Diagnostics of a Computer" (THESIS/DISSERTATION)
 Very good
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
1998 - Current Full Professor (University Teacher) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
1990 - 1998 Associate Professor (University Teacher) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
1984 - 1990 Assistant Professor (University Teacher) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
1982 - 1984 Invited Assistant Professor (University Teacher) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal
Projects

Contract

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

Publications

Book
  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.
    Published • 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
Book chapter
  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.
    Published
  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.
    Published • 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.
    Published • 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.
    Published • 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.
    Published • 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.
    Published • 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.
    Published
  10. Gama, J.; Brazdil, P.. "Constructive Induction on Continuous Spaces". In Feature Extraction, Construction and Selection, 289-303. Springer US, 1998.
    Published
  11. Brazdil, P.; Henery, R.J.. "Chapter 10: Analysis of Results". In Machine Learning, Neural and Statistical Classification, 175-212. Prentice Hall, 1994.
    Published
  12. Brazdil, P.; Clark, P.. "Learning from Imperfect Data". In Machine Learning, Meta-Reasoning and Logics, 207-232. Springer US, 1990.
    Published
  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.
    Published
  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.
    Published
Conference paper
  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.
    Published
  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". Paper presented in 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vienna, 2019.
    Published • 10.5220/0008362105000507
  8. Abdulrahman, S.M.; Brazdil, P.; Zainon, W.; Adamu, A.. "Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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]". Paper presented in 17ª Conferência da Associação Portuguesa de Sistemas de Informação - CAPSI’2017, Guimarães, 2017.
    Published • 10.18803/capsi.v17.334-344
  16. Forte, A.C.; Brazdil, P.. "Determining the Level of Clients' Dissatisfaction from Their Commentaries". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 2014 International Conference on Meta-learning and Algorithm Selection, Prague, 2014.
  22. Cordeiro, J.; Dias, G.; Brazdil, P.. "Rule induction for sentence reduction". Paper presented in 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". Paper presented in 8th International Conference on Machine Learning and Data Mining - MLDM 2012, Berlin, 2012.
    Published • 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". Paper presented in 8th International Conference on Machine Learning and Data Mining - MLDM 2012, Berlin, 2012.
    Published • 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". Paper presented in 23rd international conference on Computational Linguistics - COLING '10, Beijing, 2010.
    Published
  27. Leite, R.; Brazdil, P.. "Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning". Paper presented in 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". Paper presented in 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". Paper presented in 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?". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 12th Portuguese Conference on Artificial Intelligence - EPIA 2005, Covilhã, 2005.
    Published • 10.1109/epia.2005.341239
  38. Leite, R.; Brazdil, P.. "Predicting relative performance of classifiers from samples". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 4th International Workshop on Pattern Recognition in Information Systems - PRIS, Porto, 2004.
  43. Leite, R.; Brazdil, P.. "Improving progressive sampling via meta-learning". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in PKDD 2000, 2000.
    10.1007/3-540-45372-5_13
  51. Soares, C.; Brazdil, P.; Costa, J.. "Measures to evaluate rankings of classification algorithms". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in 6th International Workshop, Stockholm, 1996.
    10.1007/3-540-63494-0_58
  55. Gama, J.; Brazdil, P.. "Characterization of Classification Algorithms". Paper presented in 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". Paper presented in 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". Paper presented in 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". Paper presented in European Conference on Machine Learning, Catania, 1994.
    10.1007/3-540-57868-4_52
  59. Brazdil, P.. "Approaches to inductive logic programming". Paper presented in 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". Paper presented in 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". Paper presented in European Working Session on Learning, Porto, 1991.
    10.1007/BFb0017034
  62. Brazdil, P.; Muggleton, S.. "Learning to Relate Terms in a Multiple Agent Environment". Paper presented in European Working Session on Learning, Porto, 1991.
    10.1007/BFb0017035
  63. Brazdil, P.. "Knowledge States and Meta-Knowledge Maintenance". Paper presented in Second European Working Session on Learning, Bled, 1987.
  64. Brazdil, P.. "Use of Derivation Trees in Discrimination". Paper presented in 6th European Conference on Artificial Intelligence - ECAI-84, Pisa, 1984.
  65. Brazdil, P.. "Use of Metalogical Primitives in Communication". Paper presented in 6th European Conference on Artificial Intelligence - ECAI-84, Pisa, 1984.
  66. Brazdil, P.. "Experimental Learning Model". Paper presented in Third AISB/GI Conference on Artificial Intelligence, Hamburg, 1978.
  67. Brazdil, P.. "Learning Simple Arithmetic". Paper presented in 5th International Joint Conference on Artificial Intelligence - IJCAI-77, Cambridge, Massachusetts, 1977.
Edited book
  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.
Encyclopedia entry
  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
Journal article
  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.
    Published • 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.
    Published • 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.
    Published • 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.
    Published • 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.
    Published
  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.
    Published • 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):
    Published
  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.
    Published • 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.
    Published • 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.
    Published • 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.
    Published • 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.
Journal issue
  1. Brazdil, P.; Giraud-Carrier, C.. "Special Issue on Metalearning and Algorithm Selection". Machine Learning 107 1 (2018):
    Coeditor
  2. Giraud-Carrier, C.; Vilalta, R.; Brazdil, P.. "Special Issue: Meta-learning". Machine Learning 54 3 (2004):
    Coeditor
  3. Michalski, R.S.; Brazdil, P.. "Machine Learning". Machine Learning 50 3 (2003):
    Coeditor
Preface / Postscript
  1. Gama, J.; Costa, V.S.; Jorge, A.; Brazdil, P.. "Preface". Preface to Discovery Science, V-VI. 2009.
    Published
  2. Brazdil, P.; Giraud-Carrier, C.; Soares, C.; Vilalta, R.. "Cognitive Technologies: Preface". Preface to Cognitive Technologies, VII-X. 2009.
    Published
  3. Jorge, A.; Torgo, L.; Brazdil, P.; Camacho, R.; Gama, J.. "Preface". Preface to 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". Preface to Machine Learning, 187-193. 2004.
  5. Michalski, R.S.; Brazdil, P.. "Introduction". Preface to Machine Learning, 219-222. 2003.
    10.1023/A:1021756216900
  6. Brazdil, P.; Jorge, A.. "Preface". Preface to Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, V-VI. 2001.

Other

Other output
  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.
Activities

Supervision

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

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2005 - 2005 Program Co-chair of ECML/PKDD-2005, European Conference on Machine Learning (2008 - 2008)
Congress (Co-organisor)
2001 - 2001 Program Co-Chair of EPIA-2001, Portuguese Conference on Artificial Intelligence (2001 - 2001)
Congress (Co-organisor)
1993 - 1993 Program Chair of ECML-1993, European Conference on Machine Learning (1993 - 1993)
Congress (Co-organisor)
1985 - 1985 Program Co-chair of EPIA-1985, Portuguese Conference on Artificial Intelligence (1985 - 1985)
Congress (Co-organisor)

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2019 A system for selecting and evaluating clustering algorithms and their parameters, ITMO, St.Petersburg, Russia
(Thesis) Arguer
 Sergey Muravyov (PhD)
2019 Seeking robustness in multilingual world: from pipelines to embeddings Yerai Doval (PhD)
Universidade da Coruña, Spain
2019 Pattern Mining in Dynamic Graphs
(Thesis) Arguer
 Karel Vaculik (PhD)
Masarykova univerzita, Czech Republic
2019 Modelos de Mistura Finita
(Thesis) Arguer
 José G. Dias (Aggregation)
ISCTE-Instituto Universitário de Lisboa, Portugal
2018/10 Lição Symbolic Data Analysis
(Thesis) Arguer
 Maria Paula de Pinho de Brito Duarte Silva (Aggregation)
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
(Thesis) Arguer
 Sattam Mohammad Ata Al-Matarneh (PhD)
Universidade de Santiago de Compostela - Campus Vida, Spain
2018 Leveraging Metalearning for Bagging Classifiers, FEUP, Porto, Portugal
Thesis Member
 Fábio Hernâni dos Santos Costa Pinto (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 Automated Machine Learning: Bayesian Optimization, Meta-Learning & Applications
(Thesis) Arguer
 Martin Wistuba (PhD)
Universität Hildesheim, Germany

Conference scientific committee

Conference name Conference host
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

Journal scientific committee

Journal title (ISSN) Publisher
2024 - Current 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
Distinctions

Award

2007 Outstanding Paper Award, K. Patil and P.Brazdil, Text Summarization: Using Centrality in the Pathfinder Network
IADIS Int. Conference on Applied Computing, Spain
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

Title

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

Other distinction

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