Pavel Brazdil

2007
47	EE	Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil: Cost-Sensitive Decision Trees Applied to Medical Data. DaWaK 2007: 303-312
46	EE	Rui Leite, Pavel Brazdil: An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. EPIA Workshops 2007: 87-98
45		João Cordeiro, Gaël Dias, Pavel Brazdil: Learning Paraphrases from WNS Corpora. FLAIRS Conference 2007: 193-198
44	EE	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
43	EE	João Cordeiro, Gaël Dias, Pavel Brazdil: New Functions for Unsupervised Asymmetrical Paraphrase Detection. JSW 2(4): 12-23 (2007)
2006
42	EE	Fabrice Colas, Pavel Brazdil: Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks. IFIP AI 2006: 169-178
41	EE	Carlos Soares, Pavel Brazdil: Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC 2006: 564-568
40	EE	Fabrice Colas, Pavel Brazdil: On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks. TSD 2006: 45-52
2005
39		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 Springer 2005
38		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 Springer 2005
37	EE	Rui Leite, Pavel Brazdil: Predicting relative performance of classifiers from samples. ICML 2005: 497-503
36		Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil: Meta-Learning. The Data Mining and Knowledge Discovery Handbook 2005: 731-748
2004
35	EE	Rui Leite, Pavel Brazdil: Improving Progressive Sampling via Meta-learning on Learning Curves. ECML 2004: 250-261
34		João Cordeiro, Pavel Brazdil: Learning Text Extraction Rules, without Ignoring Stop Words. PRIS 2004: 128-138
33		Rui Leite, Pavel Brazdil: A Meta-learning Approach to Improve Progressive Sampling. PRIS 2004: 25-34
32	EE	Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Using Meta-Learning to Support Data Mining. IJCSA 1(1): 31-45 (2004)
31	EE	Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil: Introduction to the Special Issue on Meta-Learning. Machine Learning 54(3): 187-193 (2004)
30	EE	Carlos Soares, Pavel Brazdil, Petr Kuba: A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. Machine Learning 54(3): 195-209 (2004)
2003
29	EE	Rui Leite, Pavel Brazdil: Improving Progressive Sampling via Meta-learning. EPIA 2003: 313-323
28		Ryszard S. Michalski, Pavel Brazdil: Introduction. Machine Learning 50(3): 219-222 (2003)
27		Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa: Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. Machine Learning 50(3): 251-277 (2003)
2002
26	EE	Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil: Improved Dataset Characterisation for Meta-learning. Discovery Science 2002: 141-152
25	EE	Carlos Soares, Pavel Brazdil: A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. IBERAMIA 2002: 80-89
2001
24		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 Springer 2001
23	EE	Rui Camacho, Pavel Brazdil: Improving the Robustness and Encoding Complexity of Behavioural Clones. ECML 2001: 37-48
22	EE	Pavel Brazdil, Carlos Soares, Rui Pereira: Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA 2001: 14-21
21	EE	Carlos Soares, Johann Petrak, Pavel Brazdil: Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. EPIA 2001: 88-95
20		Pavel Brazdil: Ranking Classification Algorithms and Combinations of Methods. PRIS 2001: 12-13
2000
19	EE	Pavel Brazdil, Carlos Soares: A Comparison of Ranking Methods for Classification Algorithm Selection. ECML 2000: 63-74
18	EE	Carlos Soares, Pavel Brazdil: Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. PKDD 2000: 126-135
17		Joao Gama, Pavel Brazdil: Cascade Generalization. Machine Learning 41(3): 315-343 (2000)
1999
16	EE	Joao Gama, Pavel Brazdil: Linear tree. Intell. Data Anal. 3(1): 1-22 (1999)
1998
15		Alneu de Andrade Lopes, Pavel Brazdil: Redundant Covering with Global Evaluation in the RC1 Inductive Learner. SBIA 1998: 111-120
1996
14		Alípio Jorge, Pavel Brazdil: Integrity Constraints in ILP Using a Monte Carlo Approach. Inductive Logic Programming Workshop 1996: 229-244
1995
13		Alípio Jorge, Pavel Brazdil: Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). ECML 1995: 299-302
12		João Gama, Pavel Brazdil: Characterization of Classification Algorithms. EPIA 1995: 189-200
1994
11		Pavel Brazdil, Alípio Jorge: Learning by Refining Algorithm Sketches. ECAI 1994: 443-447
10		Pavel Brazdil, Joao Gama, Bob Henery: Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. ECML 1994: 83-102
1993
9		Pavel Brazdil: Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings Springer 1993
1992
8		Pavel Brazdil: Approaches to Inductive Logic Programming. Advanced Topics in Artificial Intelligence 1992: 139-160
7		Pavel Brazdil, Ivan Bruha: A Method of Processing Unknown Attribute Values by ID3. ICCI 1992: 253-256
1991
6		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
5		Pavel Brazdil, Stephen Muggleton: Learning to Relate Terms in a Multiple Agent Environment. EWSL 1991: 424-439
1987
4		Pavel Brazdil: Knowledge States and Meta-Knowledge Maintenance. EWSL 1987: 138-146
1984
3		Pavel Brazdil: Use of Derivation Trees in Discrimination. ECAI 1984: 239-244
1978
2		Pavel Brazdil: Experimental Learning Model. AISB/GI (ECAI) 1978: 46-50
1977
1		Pavel Brazdil: Learning Simple Arithmetic. IJCAI 1977: 346-346

Coauthor Index

1	Ivan Bruha	[7]
2	Rui Camacho	[23] [38] [39]
3	Fabrice Colas	[40] [42] [44]
4	João Cordeiro	[34] [43] [45]
5	Joaquim Pinto da Costa	[27]
6	Gaël Dias	[43] [45]
7	Peter A. Flach	[26]
8	Alberto Freitas	[47]
9	João Gama (Joao Gama)	[10] [12] [16] [17] [38] [39]
10	Matjaz Gams	[6]
11	Christophe G. Giraud-Carrier	[31] [32] [36]
12	Bob Henery	[10]
13	Alípio Mário Jorge (Alípio Jorge)	[11] [13] [14] [24] [38] [39]
14	Joost N. Kok	[44]
15	Petr Kuba	[30]
16	Rui Leite	[29] [33] [35] [37] [46]
17	Alneu de Andrade Lopes	[15]
18	Ryszard S. Michalski	[28]
19	Stephen Muggleton	[5]
20	Pavel Paclík	[44]
21	Yonghong Peng	[26]
22	Altamiro da Costa Pereira	[47]
23	Rui Pereira	[22]
24	Johann Petrak	[21]
25	Sati S. Sian	[6]
26	Carlos Soares	[18] [19] [21] [22] [25] [26] [27] [30] [32] [41]
27	Luís Torgo	[6] [38] [39]
28	Walter Van de Velde	[6]
29	Ricardo Vilalta	[31] [32] [36]

Colors in the list of coauthors