Pavel Brazdil - RankMe

105 papers A* 3A 3B 10C 2Misc 8Journal 24Unranked 38

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reducing algorithm configuration spaces for efficient search. Int. J. Data Sci. Anal. Fernando Freitas, Pavel Brazdil, Carlos Soares
2023	A*	`conf`	AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. EMNLP 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
2023	J	`jnl`	AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. CoRR 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
2023	—	`ch.`	Combining Symbolic and Deep Learning Approaches for Sentiment Analysis. Compendium of Neurosymbolic Artificial Intelligence Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge
2023	B	`conf`	Exploring the Reduction of Configuration Spaces of Workflows. DS Fernando Freitas, Pavel Brazdil, Carlos Soares
2023	J	`jnl`	NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection. IEEE Trans. Hum. Mach. Syst. António Correia, Diogo Guimarães, Hugo Paredes, Benjamim Fonseca, Dennis Paulino, Luís Trigo, Pavel Brazdil, Daniel Schneider, Andrea Grover, Shoaib Jameel
2023	—	`conf`	Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis. EPIA (1) Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge
2022	—	`conf`	Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer. Meta-Knowledge Transfer @ ECML/PKDD Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
2022	J	`jnl`	Contextualization for the Organization of Text Documents Streams. CoRR Rui Portocarrero Sarmento, Douglas de O. Cardoso, João Gama, Pavel Brazdil
2022	J	`jnl`	Detection of Loanwords in Angolan Portuguese: A Text Mining Approach. Inteligencia Artif. Timóteo Muhongo, Pavel Brazdil, Fátima Silva
2022	—	`ed.`	ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France Meta-Knowledge Transfer @ ECML/PKDD Pavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr
2022	J	`jnl`	NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis. CoRR 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
2022	B	`conf`	On Usefulness of Outlier Elimination in Classification Tasks. IDA Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil, Carlos Soares, Fernando Freitas
2021	—	`conf`	Exploiting Performance-based Similarity between Datasets in Metalearning. MetaDL@AAAI Rui Leite, Pavel Brazdil
2021	J	`jnl`	Text documents streams with improved incremental similarity. Soc. Netw. Anal. Min. Rui Portocarrero Sarmento, Douglas de O. Cardoso, Kemmily Dearo, Pavel Brazdil, João Gama
2021	—	`conf`	Towards a Human-AI Hybrid Framework for Inter-Researcher Similarity Detection. ICHMS Diogo Guimarães, Dennis Paulino, António Correia, Luís Trigo, Pavel Brazdil, Hugo Paredes
2020	—	`conf`	Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon. ECIR (2) Shamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge
2020	—	`conf`	Sentence Compression for Portuguese. PROPOR Fernando Antônio Asevedo Nóbrega, Alípio M. Jorge, Pavel Brazdil, Thiago A. S. Pardo
2019	—	`conf`	Association and Temporality between News and Tweets. KDIR Vânia Moutinho, Pavel Brazdil, João Cordeiro
2019	—	`conf`	Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks. COMPLEX NETWORKS (1) Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, Masahiro Kimura, João Gama
2019	—	`conf`	Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms. ICSCA Salisu Mamman Abdulrahman, Pavel Brazdil, Wan Mohd Nazmee Wan Zainon, Alhassan Adamu
2018	J	`jnl`	Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks. CoRR Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, João Gama
2018	J	`jnl`	Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs. CoRR Rui Portocarrero Sarmento, Pavel Brazdil
2018	—	`conf`	Incremental TextRank - Automatic Keyword Extraction for Text Streams. ICEIS (1) Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama
2018	J	`jnl`	Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue. Mach. Learn. Pavel Brazdil, Christophe G. Giraud-Carrier
2018	J	`jnl`	Speeding up algorithm selection using average ranking and active testing by introducing runtime. Mach. Learn. Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren
2017	—	`conf`	Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods. AutoML@PKDD/ECML Miguel Cachada, Salisu Mamman Abdulrahman, Pavel Brazdil
2017	—	`conf`	Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks. COMPLEX NETWORKS Rui Portocarrero Sarmento, Mário Cordeiro, Pavel Brazdil, João Gama
2017	—	`ch.`	Inductive Transfer. Encyclopedia of Machine Learning and Data Mining Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
2017	—	`ch.`	Metalearning. Encyclopedia of Machine Learning and Data Mining Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares
2017	—	`ed.`	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. AutoML@PKDD/ECML Pavel Brazdil, Joaquin Vanschoren, Frank Hutter, Holger H. Hoos
2016	—	`conf`	Determining the Level of Clients' Dissatisfaction from Their Commentaries. PROPOR Ana Catarina Forte, Pavel Brazdil
2016	—	`conf`	Effect of Incomplete Meta-dataset on Average Ranking Method. AutoML@ICML Salisu Mamman Abdulrahman, Pavel Brazdil
2016	J	`jnl`	Effect of Incomplete Meta-dataset on Average Ranking Method. CoRR Salisu Mamman Abdulrahman, Pavel Brazdil
2016	J	`jnl`	Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil
2015	—	`conf`	Algorithm Selection via Meta-learning and Sample-based Active Testing. MetaSel@PKDD/ECML Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren
2015	J	`jnl`	Combining regression models and metaheuristics to optimize space allocation in the retail industry. Intell. Data Anal. Fábio Pinto, Carlos Soares, Pavel Brazdil
2015	J	`jnl`	Density-based graph model summarization: Attaining better performance and efficiency. Intell. Data Anal. Mohammadreza Valizadeh, Pavel Brazdil
2015	J	`jnl`	Exploring actor-object relationships for query-focused multi-document summarization. Soft Comput. Mohammadreza Valizadeh, Pavel Brazdil
2015	B	`conf`	Fast Algorithm Selection Using Learning Curves. IDA Jan N. van Rijn, Salisu Mamman Abdulrahman, Pavel Brazdil, Joaquin Vanschoren
2015	—	`ed.`	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. MetaSel@PKDD/ECML Joaquin Vanschoren, Pavel Brazdil, Christophe G. Giraud-Carrier, Lars Kotthoff
2015	—	`conf`	Retrieval, Visualization and Validation of Affinities between Documents. KMIS Luís Trigo, Martin Víta, Rui Sarmento, Pavel Brazdil
2014	—	`conf`	Measures for Combining Accuracy and Time for Meta-learning. MetaSel@ECAI Salisu Mamman Abdulrahman, Pavel Brazdil
2014	—	`ed.`	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. MetaSel@ECAI Joaquin Vanschoren, Pavel Brazdil, Carlos Soares, Lars Kotthoff
2013	Misc	`conf`	Rule Induction for Sentence Reduction. EPIA João Cordeiro, Gaël Dias, Pavel Brazdil
2012	—	`conf`	Selecting Classification Algorithms with Active Testing. MLDM Rui Leite, Pavel Brazdil, Joaquin Vanschoren
2012	—	`conf`	Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix. MLDM Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil
2010	A	`conf`	Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. ECAI Rui Leite, Pavel Brazdil
2010	—	`ch.`	Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. Advances in Machine Learning I Pavel Brazdil, Rui Leite
2010	—	`ch.`	Inductive Transfer. Encyclopedia of Machine Learning Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
2010	—	`ch.`	Meta-Learning - Concepts and Techniques. Data Mining and Knowledge Discovery Handbook Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil
2010	—	`ch.`	Metalearning. Encyclopedia of Machine Learning Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares
2010	B	`conf`	Paraphrase Alignment for Synonym Evidence Discovery. COLING Gintare Grigonyte, João Cordeiro, Gaël Dias, Rumen Moraliyski, Pavel Brazdil
2009	B	`ed.`	Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 Discovery Science João Gama, Vítor Santos Costa, Alípio Mário Jorge, Pavel Brazdil
2009	—	`ch.`	Meta-Learning. Encyclopedia of Data Warehousing and Mining Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta
2009	—	`book`	Metalearning - Applications to Data Mining. Pavel Brazdil, Christophe G. Giraud-Carrier, Carlos Soares, Ricardo Vilalta
2007	—	`conf`	An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. EPIA Workshops Rui Leite, Pavel Brazdil
2007	B	`conf`	Cost-Sensitive Decision Trees Applied to Medical Data. DaWaK Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil
2007	B	`conf`	Does SVM Really Scale Up to Large Bag of Words Feature Spaces? IDA Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil
2007	Misc	`conf`	Learning Paraphrases from WNS Corpora. FLAIRS João Cordeiro, Gaël Dias, Pavel Brazdil
2007	J	`jnl`	New Functions for Unsupervised Asymmetrical Paraphrase Detection. J. Softw. João Cordeiro, Gaël Dias, Pavel Brazdil
2006	—	`conf`	Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks. IFIP AI Fabrice Colas, Pavel Brazdil
2006	—	`conf`	On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks. TSD Fabrice Colas, Pavel Brazdil
2006	C	`conf`	Organizational Survival In Cooperation Networks: The Case Of Automobile Manufacturing. PRO-VE Pedro Campos, Pavel Brazdil, Paula Brito
2006	Misc	`conf`	Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC Carlos Soares, Pavel Brazdil
2005	—	`ed.`	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 PKDD Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama
2005	—	`ed.`	Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings ECML João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo
2005	—	`ch.`	Meta-Learning. The Data Mining and Knowledge Discovery Handbook Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil
2005	A*	`conf`	Predicting relative performance of classifiers from samples. ICML Rui Leite, Pavel Brazdil
2004	J	`jnl`	A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. Mach. Learn. Carlos Soares, Pavel Brazdil, Petr Kuba
2004	—	`conf`	A Meta-learning Approach to Improve Progressive Sampling. PRIS Rui Leite, Pavel Brazdil
2004	—	`conf`	Improving Progressive Sampling via Meta-learning on Learning Curves. ECML Rui Leite, Pavel Brazdil
2004	J	`jnl`	Introduction to the Special Issue on Meta-Learning. Mach. Learn. Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil
2004	—	`conf`	Learning Text Extraction Rules, without Ignoring Stop Words. PRIS João Cordeiro, Pavel Brazdil
2004	J	`jnl`	Using Meta-Learning to Support Data Mining. Int. J. Comput. Sci. Appl. Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
2003	Misc	`conf`	Improving Progressive Sampling via Meta-learning. EPIA Rui Leite, Pavel Brazdil
2003	J	`jnl`	Introduction. Mach. Learn. Ryszard S. Michalski, Pavel Brazdil
2003	J	`jnl`	Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. Mach. Learn. Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa
2002	—	`conf`	A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. IBERAMIA Carlos Soares, Pavel Brazdil
2002	B	`conf`	Improved Dataset Characterisation for Meta-learning. Discovery Science Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil
2001	—	`conf`	Improving the Robustness and Encoding Complexity of Behavioural Clones. ECML Rui Camacho, Pavel Brazdil
2001	Misc	`ed.`	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 EPIA Pavel Brazdil, Alípio Jorge
2001	—	`conf`	Ranking Classification Algorithms and Combinations of Methods. PRIS Pavel Brazdil
2001	Misc	`conf`	Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA Pavel Brazdil, Carlos Soares, Rui Pereira
2001	Misc	`conf`	Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. EPIA Carlos Soares, Johann Petrak, Pavel Brazdil
2000	—	`conf`	A Comparison of Ranking Methods for Classification Algorithm Selection. ECML Pavel Brazdil, Carlos Soares
2000	J	`jnl`	Cascade Generalization. Mach. Learn. João Gama, Pavel Brazdil
2000	—	`conf`	Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. PKDD Carlos Soares, Pavel Brazdil
1999	J	`jnl`	Linear tree. Intell. Data Anal. João Gama, Pavel Brazdil
1998	—	`conf`	Redundant Covering with Global Evaluation in the RC1 Inductive Learner. SBIA Alneu de Andrade Lopes, Pavel Brazdil
1996	B	`conf`	Integrity Constraints in ILP Using a Monte Carlo Approach. Inductive Logic Programming Workshop Alípio Jorge, Pavel Brazdil
1995	Misc	`conf`	Characterization of Classification Algorithms. EPIA João Gama, Pavel Brazdil
1995	—	`conf`	Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). ECML Alípio Jorge, Pavel Brazdil
1994	—	`conf`	Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. ECML Pavel Brazdil, João Gama, Bob Henery
1994	A	`conf`	Learning by Refining Algorithm Sketches. ECAI Pavel Brazdil, Alípio Jorge
1993	—	`ed.`	Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings ECML Pavel Brazdil
1992	C	`conf`	A Method of Processing Unknown Attribute Values by ID3. ICCI Pavel Brazdil, Ivan Bruha
1992	—	`conf`	Approaches to Inductive Logic Programming. Advanced Topics in Artificial Intelligence Pavel Brazdil
1991	B	`conf`	Learning in multi-agent environments. ALT Pavel Brazdil
1991	—	`conf`	Learning to Relate Terms in a Multiple Agent Environment. EWSL Pavel Brazdil, Stephen H. Muggleton
1991	—	`conf`	Panel: Learning in Distributed Systems and Multi-Agent Environments. EWSL Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde
1987	—	`conf`	Knowledge States and Meta-Knowledge Maintenance. EWSL Pavel Brazdil
1984	A	`conf`	Use of Derivation Trees in Discrimination. ECAI Pavel Brazdil
1978	—	`conf`	Experimental Learning Model. AISB/GI (ECAI) Pavel Brazdil
1977	A*	`conf`	Learning Simple Arithmetic. IJCAI Pavel Brazdil