Pavel Brazdil

	2010
56		Gintare Grigonyte, João Cordeiro, Gaël Dias, Rumen Moraliyski, Pavel Brazdil: Paraphrase Alignment for Synonym Evidence Discovery. COLING 2010: 403-411
55		Rui Leite, Pavel Brazdil: Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. ECAI 2010: 309-314
54		Pavel Brazdil, Rui Leite: Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. Advances in Machine Learning I 2010: 173-188
53		Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil: Meta-Learning - Concepts and Techniques. Data Mining and Knowledge Discovery Handbook 2010: 717-731
52		Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Inductive Transfer. Encyclopedia of Machine Learning 2010: 545-548
51		Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares: Metalearning. Encyclopedia of Machine Learning 2010: 662-666
	2009
50		João Gama, Vítor Santos Costa, Alípio Mário Jorge, Pavel Brazdil: Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 Springer 2009
49		Pavel Brazdil, Christophe G. Giraud-Carrier, Carlos Soares, Ricardo Vilalta: Metalearning - Applications to Data Mining. Springer 2009: I-X, 1-176
48		Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta: Meta-Learning. Encyclopedia of Data Warehousing and Mining 2009: 1207-1215
	2007
47		Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil: Cost-Sensitive Decision Trees Applied to Medical Data. DaWaK 2007: 303-312
46		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		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		João Cordeiro, Gaël Dias, Pavel Brazdil: New Functions for Unsupervised Asymmetrical Paraphrase Detection. JSW 2(4): 12-23 (2007)
	2006
42		Fabrice Colas, Pavel Brazdil: Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks. IFIP AI 2006: 169-178
41		Carlos Soares, Pavel Brazdil: Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. SAC 2006: 564-568
40		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		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		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		Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Using Meta-Learning to Support Data Mining. IJCSA 1(1): 31-45 (2004)
31		Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil: Introduction to the Special Issue on Meta-Learning. Machine Learning 54(3): 187-193 (2004)
30		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		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		Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil: Improved Dataset Characterisation for Meta-learning. Discovery Science 2002: 141-152
25		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		Rui Camacho, Pavel Brazdil: Improving the Robustness and Encoding Complexity of Behavioural Clones. ECML 2001: 37-48
22		Pavel Brazdil, Carlos Soares, Rui Pereira: Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. EPIA 2001: 14-21
21		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		Pavel Brazdil, Carlos Soares: A Comparison of Ranking Methods for Classification Algorithm Selection. ECML 2000: 63-74
18		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		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] [56]
5	Joaquim Pinto da Costa	[27]
6	Vítor Santos Costa	[50]
7	Gaël Dias	[43] [45] [56]
8	Peter A. Flach	[26]
9	Alberto Freitas	[47]
10	João Gama (Joao Gama)	[10] [12] [16] [17] [38] [39] [50]
11	Matjaz Gams	[6]
12	Christophe G. Giraud-Carrier	[31] [32] [36] [48] [49] [51] [52] [53]
13	Gintare Grigonyte	[56]
14	Bob Henery	[10]
15	Alípio Mário Jorge (Alípio Jorge)	[11] [13] [14] [24] [38] [39] [50]
16	Joost N. Kok	[44]
17	Petr Kuba	[30]
18	Rui Leite	[29] [33] [35] [37] [46] [54] [55]
19	Alneu de Andrade Lopes	[15]
20	Ryszard S. Michalski	[28]
21	Rumen Moraliyski	[56]
22	Stephen Muggleton	[5]
23	Pavel Paclík	[44]
24	Yonghong Peng	[26]
25	Altamiro da Costa Pereira	[47]
26	Rui Pereira	[22]
27	Johann Petrak	[21]
28	Sati S. Sian	[6]
29	Carlos Soares	[18] [19] [21] [22] [25] [26] [27] [30] [32] [41] [48] [49] [51] [52]
30	Luís Torgo	[6] [38] [39]
31	Walter Van de Velde	[6]
32	Ricardo Vilalta	[31] [32] [36] [48] [49] [51] [52] [53]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page