Pavel Brazdil

Publication Activity (10 Years)

Years Active: 1977-2023
Publications (10 Years): 28

Top Topics

Sentence Compression

Sentiment Analysis

Efficient Incremental

Top Venues

Intell. Data Anal.

Publications

Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge
Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis. EPIA (1) (2023)
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) (2023)
Shamsuddeen 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)
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Said Ahmad, Meriem Beloucif, Saif 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 (2023)
Fernando Freitas, Pavel Brazdil, Carlos Soares
Exploring the Reduction of Configuration Spaces of Workflows. DS (2023)
Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil, Carlos Soares, Fernando Freitas
On Usefulness of Outlier Elimination in Classification Tasks. IDA (2022)
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 (2022)
Timóteo Muhongo, Pavel Brazdil, Fátima Silva
Detection of Loanwords in Angolan Portuguese: A Text Mining Approach. Inteligencia Artif. 25 (69) (2022)
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)
Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil
Contextualization for the Organization of Text Documents Streams. CoRR (2022)
Diogo Guimarães, Dennis Paulino, António Correia, Luis Trigo, Pavel Brazdil, Hugo Paredes
Towards a Human-AI Hybrid Framework for Inter-Researcher Similarity Detection. ICHMS (2021)
Rui Leite, Pavel Brazdil
Exploiting Performance-based Similarity between Datasets in Metalearning. MetaDL@AAAI (2021)
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) (2021)
Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge
Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon. ECIR (2) (2020)
Fernando Antônio Asevedo Nóbrega, Alípio M. Jorge, Pavel Brazdil, Thiago A. S. Pardo
Sentence Compression for Portuguese. PROPOR (2020)
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)
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)
Vânia Moutinho, Pavel Brazdil, João Cordeiro
Association and Temporality between News and Tweets. KDIR (2019)
Rui Portocarrero Sarmento, Pavel Brazdil
Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs. CoRR (2018)
Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama
Incremental TextRank - Automatic Keyword Extraction for Text Streams. ICEIS (1) (2018)
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) (2018)
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) (2018)
Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, João Gama
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks. CoRR (2018)
Miguel Cachada, Salisu Mamman Abdulrahman, Pavel Brazdil
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods. AutoML@PKDD/ECML (2017)
Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama
Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks. COMPLEX NETWORKS (2017)
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 (2016)
Salisu Mamman Abdulrahman, Pavel Brazdil
Effect of Incomplete Meta-dataset on Average Ranking Method. CoRR (2016)
Salisu Mamman Abdulrahman, Pavel Brazdil
Effect of Incomplete Meta-dataset on Average Ranking Method. AutoML@ICML (2016)
Jan N. van Rijn, Salisu Mamman Abdulrahman, Pavel Brazdil, Joaquin Vanschoren
Fast Algorithm Selection Using Learning Curves. IDA (2015)
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)
Mohammadreza Valizadeh, Pavel Brazdil
Density-based graph model summarization: Attaining better performance and efficiency. Intell. Data Anal. 19 (3) (2015)
Fábio Pinto, Carlos Soares, Pavel Brazdil
Combining regression models and metaheuristics to optimize space allocation in the retail industry. Intell. Data Anal. 19 (s1) (2015)
Mohammadreza Valizadeh, Pavel Brazdil
Exploring actor-object relationships for query-focused multi-document summarization. Soft Comput. 19 (11) (2015)
Luis Trigo, Martin Vita, Rui Sarmento, Pavel Brazdil
Retrieval, Visualization and Validation of Affinities between Documents. KMIS (2015)
Salisu Mamman Abdulrahman, Pavel Brazdil
Measures for Combining Accuracy and Time for Meta-learning. MetaSel@ECAI (2014)
João Cordeiro, Gaël Dias, Pavel Brazdil
Rule Induction for Sentence Reduction. EPIA (2013)
Rui Leite, Pavel Brazdil, Joaquin Vanschoren
Selecting Classification Algorithms with Active Testing. MLDM (2012)
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)
Rui Leite, Pavel Brazdil
Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. ECAI (2010)
Gintare Grigonyte, João Cordeiro, Gaël Dias, Rumen Moraliyski, Pavel Brazdil
Paraphrase Alignment for Synonym Evidence Discovery. COLING (2010)
João Cordeiro, Gaël Dias, Pavel Brazdil
Learning Paraphrases from WNS Corpora. FLAIRS Conference (2007)
Rui Leite, Pavel Brazdil
An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. EPIA Workshops (2007)
João Cordeiro, Gaël Dias, Pavel Brazdil
New Functions for Unsupervised Asymmetrical Paraphrase Detection. J. Softw. 2 (4) (2007)
Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil
Cost-Sensitive Decision Trees Applied to Medical Data. DaWaK (2007)
Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil
Does SVM Really Scale Up to Large Bag of Words Feature Spaces? IDA (2007)
Carlos Soares, Pavel Brazdil
Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC (2006)
Pedro Campos, Pavel Brazdil, Paula Brito
Organizational Survival In Cooperation Networks: The Case Of Automobile Manufacturing. PRO-VE (2006)
Fabrice Colas, Pavel Brazdil
On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks. TSD (2006)
Fabrice Colas, Pavel Brazdil
Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks. IFIP AI (2006)
Rui Leite, Pavel Brazdil
Predicting relative performance of classifiers from samples. ICML (2005)
Carlos Soares, Pavel Brazdil, Petr Kuba
A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. Mach. Learn. 54 (3) (2004)
Rui Leite, Pavel Brazdil
A Meta-learning Approach to Improve Progressive Sampling. PRIS (2004)
João Cordeiro, Pavel Brazdil
Learning Text Extraction Rules, without Ignoring Stop Words. PRIS (2004)
Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil
Introduction to the Special Issue on Meta-Learning. Mach. Learn. 54 (3) (2004)
Rui Leite, Pavel Brazdil
Improving Progressive Sampling via Meta-learning on Learning Curves. ECML (2004)
Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
Using Meta-Learning to Support Data Mining. Int. J. Comput. Sci. Appl. 1 (1) (2004)
Ryszard S. Michalski, Pavel Brazdil
Introduction. Mach. Learn. 50 (3) (2003)
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) (2003)
Rui Leite, Pavel Brazdil
Improving Progressive Sampling via Meta-learning. EPIA (2003)
Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil
Improved Dataset Characterisation for Meta-learning. Discovery Science (2002)
Carlos Soares, Pavel Brazdil
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. IBERAMIA (2002)
Carlos Soares, Johann Petrak, Pavel Brazdil
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. EPIA (2001)
Rui Camacho, Pavel Brazdil
Improving the Robustness and Encoding Complexity of Behavioural Clones. ECML (2001)
Pavel Brazdil, Carlos Soares, Rui Pereira
Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA (2001)
Pavel Brazdil
Ranking Classification Algorithms and Combinations of Methods. PRIS (2001)
Pavel Brazdil, Carlos Soares
A Comparison of Ranking Methods for Classification Algorithm Selection. ECML (2000)
João Gama, Pavel Brazdil
Cascade Generalization. Mach. Learn. 41 (3) (2000)
Carlos Soares, Pavel Brazdil
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. PKDD (2000)
João Gama, Pavel Brazdil
Linear tree. Intell. Data Anal. 3 (1) (1999)
Alneu de Andrade Lopes, Pavel Brazdil
Redundant Covering with Global Evaluation in the RC1 Inductive Learner. SBIA (1998)
Alípio Jorge, Pavel Brazdil
Integrity Constraints in ILP Using a Monte Carlo Approach. Inductive Logic Programming Workshop (1996)
João Gama, Pavel Brazdil
Characterization of Classification Algorithms. EPIA (1995)
Alípio Jorge, Pavel Brazdil
Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). ECML (1995)
Pavel Brazdil, Alípio Jorge
Learning by Refining Algorithm Sketches. ECAI (1994)
Pavel Brazdil, João Gama, Bob Henery
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. ECML (1994)
Pavel Brazdil, Ivan Bruha
A Method of Processing Unknown Attribute Values by ID3. ICCI (1992)
Pavel Brazdil
Approaches to Inductive Logic Programming. Advanced Topics in Artificial Intelligence (1992)
Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde
Panel: Learning in Distributed Systems and Multi-Agent Environments. EWSL (1991)
Pavel Brazdil
Learning in multi-agent environments. ALT (1991)
Pavel Brazdil, Stephen Muggleton
Learning to Relate Terms in a Multiple Agent Environment. EWSL (1991)
Pavel Brazdil
Knowledge States and Meta-Knowledge Maintenance. EWSL (1987)
Pavel Brazdil
Use of Derivation Trees in Discrimination. ECAI (1984)
Pavel Brazdil
Experimental Learning Model. AISB/GI (ECAI) (1978)
Pavel Brazdil
Learning Simple Arithmetic. IJCAI (1977)