Pavel Brazdil

According to our database1, Pavel Brazdil authored at least 78 papers between 1977 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Sentence Compression for Portuguese.
Proceedings of the Computational Processing of the Portuguese Language, 2020

Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon.
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

Association and Temporality between News and Tweets.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks.
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

Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs.
CoRR, 2018

Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks.
CoRR, 2018

Incremental TextRank - Automatic Keyword Extraction for Text Streams.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

2017
Inductive Transfer.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Metalearning.
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

Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks.
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

Effect of Incomplete Meta-dataset on Average Ranking Method.
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

2015
Exploring actor-object relationships for query-focused multi-document summarization.
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

Algorithm Selection via Meta-learning and Sample-based Active Testing.
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

Fast Algorithm Selection Using Learning Curves.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Retrieval, Visualization and Validation of Affinities between Documents.
Proceedings of the KMIS 2015, 2015

2014
Measures for Combining Accuracy and Time for Meta-learning.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

2013
Rule Induction for Sentence Reduction.
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

Selecting Classification Algorithms with Active Testing.
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

Inductive Transfer.
Proceedings of the Encyclopedia of Machine Learning, 2010

Metalearning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Meta-Learning - Concepts and Techniques.
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

Paraphrase Alignment for Synonym Evidence Discovery.
Proceedings of the COLING 2010, 2010

2009
Meta-Learning.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Metalearning - Applications to Data Mining.
Cognitive Technologies, Springer, ISBN: 978-3-540-73262-4, 2009

2007
New Functions for Unsupervised Asymmetrical Paraphrase Detection.
J. Softw., 2007

Does SVM Really Scale Up to Large Bag of Words Feature Spaces?
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Learning Paraphrases from WNS Corpora.
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

Cost-Sensitive Decision Trees Applied to Medical Data.
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
Predicting relative performance of classifiers from samples.
Proceedings of the Machine Learning, 2005

Meta-Learning.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.
Mach. Learn., 2004

Introduction to the Special Issue on Meta-Learning.
Mach. Learn., 2004

Using Meta-Learning to Support Data Mining.
Int. J. Comput. Sci. Appl., 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

Improving Progressive Sampling via Meta-learning on Learning Curves.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Introduction.
Mach. Learn., 2003

Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results.
Mach. Learn., 2003

Improving Progressive Sampling via Meta-learning.
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

Improved Dataset Characterisation for Meta-learning.
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

Reducing Rankings of Classifiers by Eliminating Redundant Classifiers.
Proceedings of the Progress in Artificial Intelligence, 2001

Improving the Robustness and Encoding Complexity of Behavioural Clones.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Cascade Generalization.
Mach. Learn., 2000

Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

A Comparison of Ranking Methods for Classification Algorithm Selection.
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999
Linear tree.
Intell. Data Anal., 1999

1998
Redundant Covering with Global Evaluation in the RC1 Inductive Learner.
Proceedings of the Advances in Artificial Intelligence, 1998

1996
Integrity Constraints in ILP Using a Monte Carlo Approach.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1995
Characterization of Classification Algorithms.
Proceedings of the Progress in Artificial Intelligence, 1995

Learning Recursion with Iterative Bootstrap Induction (Extended Abstract).
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

Approaches to Inductive Logic Programming.
Proceedings of the Advanced Topics in Artificial Intelligence, 1992

1991
Learning to Relate Terms in a Multiple Agent Environment.
Proceedings of the Machine Learning, 1991

Panel: Learning in Distributed Systems and Multi-Agent Environments.
Proceedings of the Machine Learning, 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
Learning Simple Arithmetic.
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977


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