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ORCIDPavel Brazdil
Person information
- affiliation: University of Porto, Faculty of Economics, Portugal
- affiliation (PhD 1981): University of Edinburgh, UK
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Books and Theses
- 2009
[b1]Pavel Brazdil
, Christophe G. Giraud-Carrier, Carlos Soares, Ricardo Vilalta:
Metalearning - Applications to Data Mining. Cognitive Technologies, Springer 2009, ISBN 978-3-540-73262-4, pp. I-X, 1-176 [contents]
Journal Articles
- 2023
- [j17]António Correia, Diogo Guimarães, Hugo Paredes, Benjamim Fonseca, Dennis Paulino, Luís Trigo, Pavel Brazdil, Daniel Schneider, Andrea Grover, Shoaib Jameel:
NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection. IEEE Trans. Hum. Mach. Syst. 53(6): 1017-1026 (2023) - 2022
- [j16]Timóteo Muhongo, Pavel Brazdil, Fátima Silva:
Detection of Loanwords in Angolan Portuguese: A Text Mining Approach. Inteligencia Artif. 25(69): 87-106 (2022) - 2021
- [j15]Rui Portocarrero Sarmento, Douglas de O. Cardoso, Kemmily Dearo, Pavel Brazdil, João Gama:
Text documents streams with improved incremental similarity. Soc. Netw. Anal. Min. 11(1): 113 (2021) - 2018
- [j14]Pavel Brazdil, Christophe G. Giraud-Carrier:
Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue. Mach. Learn. 107(1): 1-14 (2018) - [j13]Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren:
Speeding up algorithm selection using average ranking and active testing by introducing runtime. Mach. Learn. 107(1): 79-108 (2018) - 2016
- [j12]Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil:
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing 205: 393-406 (2016) - 2015
- [j11]Mohammadreza Valizadeh, Pavel Brazdil:
Density-based graph model summarization: Attaining better performance and efficiency. Intell. Data Anal. 19(3): 617-629 (2015) - [j10]Fábio Pinto, Carlos Soares, Pavel Brazdil:
Combining regression models and metaheuristics to optimize space allocation in the retail industry. Intell. Data Anal. 19(s1): S149-S162 (2015) - [j9]Mohammadreza Valizadeh, Pavel Brazdil:
Exploring actor-object relationships for query-focused multi-document summarization. Soft Comput. 19(11): 3109-3121 (2015) - 2007
- [j8]João Cordeiro, Gaël Dias, Pavel Brazdil:
New Functions for Unsupervised Asymmetrical Paraphrase Detection. J. Softw. 2(4): 12-23 (2007) - 2004
- [j7]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares:
Using Meta-Learning to Support Data Mining. Int. J. Comput. Sci. Appl. 1(1): 31-45 (2004) - [j6]Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil:
Introduction to the Special Issue on Meta-Learning. Mach. Learn. 54(3): 187-193 (2004) - [j5]Carlos Soares, Pavel Brazdil, Petr Kuba:
A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. Mach. Learn. 54(3): 195-209 (2004) - 2003
- [j4]Ryszard S. Michalski, Pavel Brazdil:
Introduction. Mach. Learn. 50(3): 219-222 (2003) - [j3]Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa:
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. Mach. Learn. 50(3): 251-277 (2003) - 2000
- [j2]João Gama, Pavel Brazdil:
Cascade Generalization. Mach. Learn. 41(3): 315-343 (2000) - 1999
- [j1]João Gama, Pavel Brazdil:
Linear tree. Intell. Data Anal. 3(1): 1-22 (1999)
Conference and Workshop Papers
- 2023
- [c62]Fernando Freitas, Pavel Brazdil, Carlos Soares:
Exploring the Reduction of Configuration Spaces of Workflows. DS 2023: 33-47 - [c61]Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Said Ahmad, Meriem Beloucif, Saif M. Mohammad, Sebastian Ruder, Oumaima Hourrane, Alípio Jorge, Pavel Brazdil, Felermino Dário Mário António Ali, Davis David, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim Lawan, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Destaw Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Stephen Arthur:
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. EMNLP 2023: 13968-13981 - [c60]Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge:
Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis. EPIA (1) 2023: 415-427 - 2022
- [c59]Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr:
Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD 2022: 1-7 - [c58]Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil, Carlos Soares, Fernando Freitas:
On Usefulness of Outlier Elimination in Classification Tasks. IDA 2022: 143-156 - 2021
- [c57]Rui Leite, Pavel Brazdil:
Exploiting Performance-based Similarity between Datasets in Metalearning. MetaDL@AAAI 2021: 90-99 - [c56]Diogo Guimarães, Dennis Paulino, António Correia, Luís Trigo, Pavel Brazdil, Hugo Paredes:
Towards a Human-AI Hybrid Framework for Inter-Researcher Similarity Detection. ICHMS 2021: 1-4 - 2020
- [c55]Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge:
Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon. ECIR (2) 2020: 619-623 - [c54]Fernando Antônio Asevedo Nóbrega, Alípio M. Jorge, Pavel Brazdil, Thiago A. S. Pardo:
Sentence Compression for Portuguese. PROPOR 2020: 270-280 - 2019
- [c53]Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, Masahiro Kimura, João Gama:
Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks. COMPLEX NETWORKS (1) 2019: 198-210 - [c52]Vânia Moutinho, Pavel Brazdil, João Cordeiro:
Association and Temporality between News and Tweets. KDIR 2019: 500-507 - [c51]Salisu Mamman Abdulrahman, Pavel Brazdil, Wan Mohd Nazmee Wan Zainon, Alhassan Adamu:
Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms. ICSCA 2019: 140-148 - 2018
- [c50]Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama:
Incremental TextRank - Automatic Keyword Extraction for Text Streams. ICEIS (1) 2018: 363-370 - 2017
- [c49]Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama:
Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks. COMPLEX NETWORKS 2017: 341-352 - [c48]Miguel Cachada, Salisu Mamman Abdulrahman, Pavel Brazdil:
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods. AutoML@PKDD/ECML 2017: 69-83 - 2016
- [c47]Salisu Mamman Abdulrahman, Pavel Brazdil:
Effect of Incomplete Meta-dataset on Average Ranking Method. AutoML@ICML 2016: 1-10 - [c46]Ana Catarina Forte, Pavel Brazdil:
Determining the Level of Clients' Dissatisfaction from Their Commentaries. PROPOR 2016: 74-85 - 2015
- [c45]Luís Trigo, Martin Víta, Rui Sarmento, Pavel Brazdil:
Retrieval, Visualization and Validation of Affinities between Documents. KMIS 2015: 452-459 - [c44]Jan N. van Rijn, Salisu Mamman Abdulrahman, Pavel Brazdil, Joaquin Vanschoren:
Fast Algorithm Selection Using Learning Curves. IDA 2015: 298-309 - [c43]Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren:
Algorithm Selection via Meta-learning and Sample-based Active Testing. MetaSel@PKDD/ECML 2015: 55-66 - 2014
- [c42]Salisu Mamman Abdulrahman, Pavel Brazdil:
Measures for Combining Accuracy and Time for Meta-learning. MetaSel@ECAI 2014: 49-50 - 2013
- [c41]João Cordeiro, Gaël Dias, Pavel Brazdil:
Rule Induction for Sentence Reduction. EPIA 2013: 528-539 - 2012
- [c40]Rui Leite, Pavel Brazdil, Joaquin Vanschoren:
Selecting Classification Algorithms with Active Testing. MLDM 2012: 117-131 - [c39]Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil:
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix. MLDM 2012: 525-539 - 2010
- [c38]Gintare Grigonyte, João Cordeiro, Gaël Dias, Rumen Moraliyski, Pavel Brazdil:
Paraphrase Alignment for Synonym Evidence Discovery. COLING 2010: 403-411 - [c37]Rui Leite, Pavel Brazdil:
Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. ECAI 2010: 309-314 - 2007
- [c36]Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil:
Cost-Sensitive Decision Trees Applied to Medical Data. DaWaK 2007: 303-312 - [c35]Rui Leite, Pavel Brazdil:
An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. EPIA Workshops 2007: 87-98 - [c34]João Cordeiro, Gaël Dias, Pavel Brazdil:
Learning Paraphrases from WNS Corpora. FLAIRS 2007: 193-198 - [c33]Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil:
Does SVM Really Scale Up to Large Bag of Words Feature Spaces? IDA 2007: 296-307 - 2006
- [c32]Fabrice Colas, Pavel Brazdil:
Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks. IFIP AI 2006: 169-178 - [c31]Pedro Campos, Pavel Brazdil, Paula Brito:
Organizational Survival In Cooperation Networks: The Case Of Automobile Manufacturing. PRO-VE 2006: 77-84 - [c30]Carlos Soares, Pavel Brazdil:
Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC 2006: 564-568 - [c29]Fabrice Colas, Pavel Brazdil:
On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks. TSD 2006: 45-52 - 2005
- [c28]Rui Leite, Pavel Brazdil:
Predicting relative performance of classifiers from samples. ICML 2005: 497-503 - 2004
- [c27]Rui Leite, Pavel Brazdil:
Improving Progressive Sampling via Meta-learning on Learning Curves. ECML 2004: 250-261 - [c26]Rui Leite, Pavel Brazdil:
A Meta-learning Approach to Improve Progressive Sampling. PRIS 2004: 25-34 - [c25]João Cordeiro, Pavel Brazdil:
Learning Text Extraction Rules, without Ignoring Stop Words. PRIS 2004: 128-138 - 2003
- [c24]Rui Leite, Pavel Brazdil:
Improving Progressive Sampling via Meta-learning. EPIA 2003: 313-323 - 2002
- [c23]Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil:
Improved Dataset Characterisation for Meta-learning. Discovery Science 2002: 141-152 - [c22]Carlos Soares, Pavel Brazdil:
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. IBERAMIA 2002: 80-89 - 2001
- [c21]Rui Camacho, Pavel Brazdil:
Improving the Robustness and Encoding Complexity of Behavioural Clones. ECML 2001: 37-48 - [c20]Pavel Brazdil, Carlos Soares, Rui Pereira:
Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA 2001: 14-21 - [c19]Carlos Soares, Johann Petrak, Pavel Brazdil:
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. EPIA 2001: 88-95 - [c18]Pavel Brazdil:
Ranking Classification Algorithms and Combinations of Methods. PRIS 2001: 12-13 - 2000
- [c17]Pavel Brazdil, Carlos Soares:
A Comparison of Ranking Methods for Classification Algorithm Selection. ECML 2000: 63-74 - [c16]Carlos Soares, Pavel Brazdil:
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. PKDD 2000: 126-135 - 1998
- [c15]Alneu de Andrade Lopes, Pavel Brazdil:
Redundant Covering with Global Evaluation in the RC1 Inductive Learner. SBIA 1998: 111-120 - 1996
- [c14]Alípio Jorge, Pavel Brazdil:
Integrity Constraints in ILP Using a Monte Carlo Approach. Inductive Logic Programming Workshop 1996: 229-244 - 1995
- [c13]Alípio Jorge, Pavel Brazdil:
Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). ECML 1995: 299-302 - [c12]João Gama, Pavel Brazdil:
Characterization of Classification Algorithms. EPIA 1995: 189-200 - 1994
- [c11]Pavel Brazdil, Alípio Jorge:
Learning by Refining Algorithm Sketches. ECAI 1994: 443-447 - [c10]Pavel Brazdil, João Gama, Bob Henery:
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. ECML 1994: 83-102 - 1992
- [c9]Pavel Brazdil:
Approaches to Inductive Logic Programming. Advanced Topics in Artificial Intelligence 1992: 139-160 - [c8]Pavel Brazdil, Ivan Bruha:
A Method of Processing Unknown Attribute Values by ID3. ICCI 1992: 253-256 - 1991
- [c7]Pavel Brazdil:
Learning in multi-agent environments. ALT 1991: 15- - [c6]Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde:
Panel: Learning in Distributed Systems and Multi-Agent Environments. EWSL 1991: 412-423 - [c5]Pavel Brazdil, Stephen H. Muggleton:
Learning to Relate Terms in a Multiple Agent Environment. EWSL 1991: 424-439 - 1987
- [c4]Pavel Brazdil:
Knowledge States and Meta-Knowledge Maintenance. EWSL 1987: 138-146 - 1984
- [c3]Pavel Brazdil:
Use of Derivation Trees in Discrimination. ECAI 1984: 239-244 - 1978
- [c2]Pavel Brazdil:
Experimental Learning Model. AISB/GI (ECAI) 1978: 46-50 - 1977
- [c1]Pavel Brazdil:
Learning Simple Arithmetic. IJCAI 1977: 346
Parts in Books or Collections
- 2023
- [p4]Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge:
Combining Symbolic and Deep Learning Approaches for Sentiment Analysis. Compendium of Neurosymbolic Artificial Intelligence 2023: 506-521 - 2010
- [p3]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil:
Meta-Learning - Concepts and Techniques. Data Mining and Knowledge Discovery Handbook 2010: 717-731 - [p2]Pavel Brazdil, Rui Leite:
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. Advances in Machine Learning I 2010: 173-188 - 2005
- [p1]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil:
Meta-Learning. The Data Mining and Knowledge Discovery Handbook 2005: 731-748
Editorship
- 2022
- [e9]Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr:
ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France. Proceedings of Machine Learning Research 191, PMLR 2022 [contents] - 2017
- [e8]Pavel Brazdil, Joaquin Vanschoren, Frank Hutter, Holger H. Hoos:
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. CEUR Workshop Proceedings 1998, CEUR-WS.org 2017 [contents] - 2015
- [e7]Joaquin Vanschoren, Pavel Brazdil, Christophe G. Giraud-Carrier, Lars Kotthoff:
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 Workshop Proceedings 1455, CEUR-WS.org 2015 [contents] - 2014
- [e6]Joaquin Vanschoren, Pavel Brazdil, Carlos Soares, Lars Kotthoff:
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. CEUR Workshop Proceedings 1201, CEUR-WS.org 2014 [contents] - 2009
- [e5]João Gama, Vítor Santos Costa, Alípio Mário Jorge, Pavel Brazdil:
Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009. Lecture Notes in Computer Science 5808, Springer 2009, ISBN 978-3-642-04746-6 [contents] - 2005
- [e4]João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo:
Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3720, Springer 2005, ISBN 3-540-29243-8 [contents] - [e3]Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama:
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. Lecture Notes in Computer Science 3721, Springer 2005, ISBN 3-540-29244-6 [contents] - 2001
- [e2]Pavel Brazdil, Alípio Jorge:
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. Lecture Notes in Computer Science 2258, Springer 2001, ISBN 3-540-43030-X [contents] - 1993
- [e1]Pavel Brazdil:
Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings. Lecture Notes in Computer Science 667, Springer 1993, ISBN 3-540-56602-3 [contents]
Reference Works
- 2017
- [r5]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares:
Inductive Transfer. Encyclopedia of Machine Learning and Data Mining 2017: 666-671 - [r4]Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares:
Metalearning. Encyclopedia of Machine Learning and Data Mining 2017: 818-823 - 2010
- [r3]Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares:
Inductive Transfer. Encyclopedia of Machine Learning 2010: 545-548 - [r2]Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares:
Metalearning. Encyclopedia of Machine Learning 2010: 662-666 - 2009
- [r1]Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta:
Meta-Learning. Encyclopedia of Data Warehousing and Mining 2009: 1207-1215
Informal and Other Publications
- 2023
- [i6]Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Said Ahmad, Meriem Beloucif, Saif M. Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis David, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Destaw Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Steven Arthur:
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. CoRR abs/2302.08956 (2023) - 2022
- [i5]Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Said Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Abdullahi Salahudeen, Aremu Anuoluwapo, Alípio Jeorge, Pavel Brazdil:
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis. CoRR abs/2201.08277 (2022) - [i4]Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil:
Contextualization for the Organization of Text Documents Streams. CoRR abs/2206.02632 (2022) - 2018
- [i3]Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, João Gama:
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks. CoRR abs/1808.02960 (2018) - [i2]Rui Portocarrero Sarmento, Pavel Brazdil:
Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs. CoRR abs/1811.11746 (2018) - 2016
- [i1]Salisu Mamman Abdulrahman, Pavel Brazdil:
Effect of Incomplete Meta-dataset on Average Ranking Method. CoRR abs/1608.06845 (2016)
Coauthor Index
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