Pavel Brazdil
Orcid: 0000-0002-4720-0486Affiliations:
- University of Porto, Faculty of Economics, Portugal
- University of Edinburgh, UK (PhD 1981)
According to our database1,
Pavel Brazdil
authored at least 94 papers
between 1977 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on liaad.up.pt
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Bibliography
2023
IEEE Trans. Hum. Mach. Syst., December, 2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
Proceedings of the Progress in Artificial Intelligence, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
CoRR, 2022
Inteligencia Artif., 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022
2021
Soc. Netw. Anal. Min., 2021
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021
2020
Proceedings of the Computational Processing of the Portuguese Language, 2020
Proceedings of the Advances in Information Retrieval, 2020
2019
Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms.
Proceedings of the 8th International Conference on Software and Computer Applications, 2019
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
Proceedings of the Complex Networks and Their Applications VIII, 2019
2018
Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue.
Mach. Learn., 2018
Speeding up algorithm selection using average ranking and active testing by introducing runtime.
Mach. Learn., 2018
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks.
CoRR, 2018
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods.
Proceedings of the International Workshop on Automatic Selection, 2017
Proceedings of the Complex Networks & Their Applications VI, 2017
2016
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features.
Neurocomputing, 2016
Proceedings of the Computational Processing of the Portuguese Language, 2016
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016
2015
Soft Comput., 2015
Density-based graph model summarization: Attaining better performance and efficiency.
Intell. Data Anal., 2015
Combining regression models and metaheuristics to optimize space allocation in the retail industry.
Intell. Data Anal., 2015
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), 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the KMIS 2015, 2015
2014
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014
2013
Proceedings of the Progress in Artificial Intelligence, 2013
2012
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
2010
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning.
Proceedings of the ECAI 2010, 2010
Proceedings of the COLING 2010, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Cognitive Technologies, Springer, ISBN: 978-3-540-73262-4, 2009
2007
Proceedings of the Advances in Intelligent Data Analysis VII, 2007
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007
An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers.
Proceedings of the Progress in Artificial Intelligence, 2007
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007
2006
On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks.
Proceedings of the Text, Speech and Dialogue, 9th International Conference, 2006
Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
Organizational Survival In Cooperation Networks: The Case Of Automobile Manufacturing.
Proceedings of the Network-Centric Collaboration and Supporting Frameworks, 2006
Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006
2005
Proceedings of the Machine Learning, 2005
Meta-Learning.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
Mach. Learn., 2004
A Meta-learning Approach to Improve Progressive Sampling.
Proceedings of the Pattern Recognition in Information Systems, 2004
Learning Text Extraction Rules, without Ignoring Stop Words.
Proceedings of the Pattern Recognition in Information Systems, 2004
Proceedings of the Machine Learning: ECML 2004, 2004
2003
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results.
Mach. Learn., 2003
Proceedings of the Progress in Artificial Intelligence, 2003
2002
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods.
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Discovery Science, 5th International Conference, 2002
2001
Ranking Classification Algorithms and Combinations of Methods.
Proceedings of the Pattern Recognition in Information Systems, 2001
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing.
Proceedings of the Progress in Artificial Intelligence, 2001
Proceedings of the Progress in Artificial Intelligence, 2001
Proceedings of the Machine Learning: EMCL 2001, 2001
2000
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000
1999
1998
Proceedings of the Advances in Artificial Intelligence, 1998
1996
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996
1995
Proceedings of the Progress in Artificial Intelligence, 1995
Proceedings of the Machine Learning: ECML-95, 1995
1994
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning.
Proceedings of the Machine Learning: ECML-94, 1994
Learning by Refining Algorithm Sketches.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994
1992
A Method of Processing Unknown Attribute Values by ID3.
Proceedings of the Computing and Information, 1992
Proceedings of the Advanced Topics in Artificial Intelligence, 1992
1991
Proceedings of the Machine Learning, 1991
Proceedings of the Machine Learning, 1991
Learning in multi-agent environments.
Proceedings of the Algorithmic Learning Theory, 2nd International Workshop, 1991
1987
Knowledge States and Meta-Knowledge Maintenance.
Proceedings of the Progress in Machine Learning, 1987
1984
Use of Derivation Trees in Discrimination.
Proceedings of the Advances in Artificial Intelligence, 1984
1978
Experimental Learning Model.
Proceedings of AISB/GI Conference (Proceedings of the 4th European Conference on Artificial Intelligence), 1978
1977
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977