Pavel Brazdil
University of Porto, Faculty of Economics, Portugal
University of Edinburgh, UK
http://www.liaad.up.pt/area/pbrazdil/pavel-brazdil
https://www.cienciavitae.pt/CF1B-BA17-6001
https://scholar.google.com/citations?user=SaB1VPQAAAAJ
https://www.linkedin.com/in/pavel-brazdil-09a52114
https://orcid.org/0000-0002-4720-0486
https://www.wikidata.org/entity/Q58494302
https://www.wikidata.org/entity/Q112450792
https://id.loc.gov/authorities/names/n88210218
https://d-nb.info/gnd/170898040
António Correia
Diogo Guimarães
Hugo Paredes
Benjamim Fonseca
Dennis Paulino
Luís Trigo
Pavel Brazdil
Daniel Schneider 0008
Andrea Grover
Shoaib Jameel
NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection.
1017-1026
2023
December
53
IEEE Trans. Hum. Mach. Syst.
6
https://doi.org/10.1109/THMS.2023.3319290
db/journals/thms/thms53.html#CorreiaGPFPTBSGJ23
Fernando Freitas
Pavel Brazdil
Carlos Soares
Exploring the Reduction of Configuration Spaces of Workflows.
33-47
2023
DS
https://doi.org/10.1007/978-3-031-45275-8_3
conf/dis/2023
db/conf/dis/dis2023.html#FreitasBS23
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
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages.
13968-13981
2023
EMNLP
https://aclanthology.org/2023.emnlp-main.862
conf/emnlp/2023
db/conf/emnlp/emnlp2023.html#MuhammadAAOAYAB23
Shamsuddeen Hassan Muhammad
Pavel Brazdil
Alípio Jorge
Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis.
415-427
2023
EPIA (1)
https://doi.org/10.1007/978-3-031-49008-8_33
conf/epia/2023-1
db/conf/epia/epia2023-1.html#MuhammadBJ23
Shamsuddeen Hassan Muhammad
Pavel Brazdil
Alípio Jorge
Combining Symbolic and Deep Learning Approaches for Sentiment Analysis.
506-521
2023
Compendium of Neurosymbolic Artificial Intelligence
https://doi.org/10.3233/FAIA230155
series/faia/369
db/series/faia/faia369.html#MuhammadBJ23
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
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages.
2023
abs/2302.08956
CoRR
https://doi.org/10.48550/arXiv.2302.08956
db/journals/corr/corr2302.html#abs-2302-08956
Timóteo Muhongo
Pavel Brazdil
Fátima Silva
Detection of Loanwords in Angolan Portuguese: A Text Mining Approach.
87-106
2022
25
Inteligencia Artif.
69
https://doi.org/10.4114/intartif.vol25iss69pp87-106
https://www.wikidata.org/entity/Q114249093
db/journals/aepia/aepia25.html#MuhongoBS22
Pavel Brazdil
Jan N. van Rijn
Henry Gouk
Felix Mohr
Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer.
1-7
2022
Meta-Knowledge Transfer @ ECML/PKDD
https://proceedings.mlr.press/v191/brazdil22a.html
conf/ecml/2022metaknow
db/conf/ecml/metaknow2022.html#BrazdilRGM22
Dusan Hetlerovic
Lubos Popelínský
Pavel Brazdil
Carlos Soares
Fernando Freitas
On Usefulness of Outlier Elimination in Classification Tasks.
143-156
2022
IDA
https://doi.org/10.1007/978-3-031-01333-1_12
conf/ida/2022
db/conf/ida/ida2022.html#HetlerovicPBSF22
Pavel Brazdil
Jan N. van Rijn
Henry Gouk
Felix Mohr
ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France
Meta-Knowledge Transfer @ ECML/PKDD
2022
PMLR
Proceedings of Machine Learning Research
191
https://proceedings.mlr.press/v191/
db/conf/ecml/metaknow2022.html
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.
2022
abs/2201.08277
CoRR
https://arxiv.org/abs/2201.08277
db/journals/corr/corr2201.html#abs-2201-08277
Rui Portocarrero Sarmento
Douglas de O. Cardoso
João Gama 0001
Pavel Brazdil
Contextualization for the Organization of Text Documents Streams.
2022
abs/2206.02632
CoRR
https://doi.org/10.48550/arXiv.2206.02632
db/journals/corr/corr2206.html#abs-2206-02632
Rui Portocarrero Sarmento
Douglas de O. Cardoso
Kemmily Dearo
Pavel Brazdil
João Gama 0001
Text documents streams with improved incremental similarity.
113
2021
11
Soc. Netw. Anal. Min.
1
https://doi.org/10.1007/s13278-021-00826-z
https://www.wikidata.org/entity/Q114262471
db/journals/snam/snam11.html#SarmentoCDBG21
Rui Leite
Pavel Brazdil
Exploiting Performance-based Similarity between Datasets in Metalearning.
90-99
2021
MetaDL@AAAI
https://proceedings.mlr.press/v140/leite21a.html
conf/aaai/2021metadl
db/conf/aaai/metadl2021.html#LeiteB21
Diogo Guimarães
Dennis Paulino
António Correia
Luís Trigo
Pavel Brazdil
Hugo Paredes
Towards a Human-AI Hybrid Framework for Inter-Researcher Similarity Detection.
1-4
2021
ICHMS
https://doi.org/10.1109/ICHMS53169.2021.9582633
conf/ichms/2021
db/conf/ichms/ichms2021.html#GuimaraesPCTBP21
Shamsuddeen Hassan Muhammad
Pavel Brazdil
Alípio Jorge
Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon.
619-623
2020
ECIR (2)
https://doi.org/10.1007/978-3-030-45442-5_81
https://www.wikidata.org/entity/Q102132627
conf/ecir/2020-2
db/conf/ecir/ecir2020-2.html#MuhammadBJ20
Fernando Antônio Asevedo Nóbrega
Alípio M. Jorge
Pavel Brazdil
Thiago A. S. Pardo
Sentence Compression for Portuguese.
270-280
2020
PROPOR
https://doi.org/10.1007/978-3-030-41505-1_26
conf/propor/2020
db/conf/propor/propor2020.html#NobregaJBP20
Mário Cordeiro
Rui Portocarrero Sarmento
Pavel Brazdil
Masahiro Kimura
João Gama 0001
Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks.
198-210
2019
COMPLEX NETWORKS (1)
https://doi.org/10.1007/978-3-030-36687-2_17
conf/complexnetworks/2019-1
db/conf/complexnetworks/complexnetworks2019-1.html#CordeiroSBKG19
Vânia Moutinho
Pavel Brazdil
João Cordeiro
Association and Temporality between News and Tweets.
500-507
2019
KDIR
https://doi.org/10.5220/0008362105000507
conf/ic3k/2019kdir
db/conf/ic3k/kdir2019.html#MoutinhoBC19
Salisu Mamman Abdulrahman
Pavel Brazdil
Wan Mohd Nazmee Wan Zainon
Alhassan Adamu
Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms.
140-148
2019
ICSCA
https://doi.org/10.1145/3316615.3316674
conf/icsca/2019
db/conf/icsca/icsca2019.html#AbdulrahmanBZA19
Pavel Brazdil
Christophe G. Giraud-Carrier
Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue.
1-14
2018
107
Mach. Learn.
1
https://doi.org/10.1007/s10994-017-5692-y
db/journals/ml/ml107.html#BrazdilG18
Salisu Mamman Abdulrahman
Pavel Brazdil
Jan N. van Rijn
Joaquin Vanschoren
Speeding up algorithm selection using average ranking and active testing by introducing runtime.
79-108
2018
107
Mach. Learn.
1
https://doi.org/10.1007/s10994-017-5687-8
https://www.wikidata.org/entity/Q113959072
db/journals/ml/ml107.html#AbdulrahmanBRV18
Rui Portocarrero Sarmento
Mário Cordeiro
Pavel Brazdil
João Gama 0001
Incremental TextRank - Automatic Keyword Extraction for Text Streams.
363-370
2018
ICEIS (1)
https://doi.org/10.5220/0006639703630370
conf/iceis/2018-1
db/conf/iceis/iceis2018-1.html#SarmentoCBG18
Mário Cordeiro
Rui Portocarrero Sarmento
Pavel Brazdil
João Gama 0001
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks.
2018
abs/1808.02960
CoRR
http://arxiv.org/abs/1808.02960
db/journals/corr/corr1808.html#abs-1808-02960
Rui Portocarrero Sarmento
Pavel Brazdil
Incremental Sparse TFIDF & Incremental Similarity with Bipartite Graphs.
2018
abs/1811.11746
CoRR
http://arxiv.org/abs/1811.11746
db/journals/corr/corr1811.html#abs-1811-11746
Rui Portocarrero Sarmento
Mário Cordeiro
Pavel Brazdil
João Gama 0001
Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks.
341-352
2017
COMPLEX NETWORKS
https://doi.org/10.1007/978-3-319-72150-7_28
https://www.wikidata.org/entity/Q58204464
conf/complexnetworks/2017
db/conf/complexnetworks/complexnetworks2017.html#SarmentoCBG17
Miguel Cachada
Salisu Mamman Abdulrahman
Pavel Brazdil
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods.
69-83
2017
AutoML@PKDD/ECML
https://ceur-ws.org/Vol-1998/paper_07.pdf
conf/pkdd/2017automl
db/conf/pkdd/automl2017.html#CachadaAB17
Pavel Brazdil
Joaquin Vanschoren
Frank Hutter
Holger H. Hoos
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
CEUR-WS.org
CEUR Workshop Proceedings
1998
2017
https://ceur-ws.org/Vol-1998
https://nbn-resolving.org/urn:nbn:de:0074-1998-0
db/conf/pkdd/automl2017.html
Ricardo Vilalta
Christophe G. Giraud-Carrier
Pavel Brazdil
Carlos Soares
Inductive Transfer.
666-671
2017
Encyclopedia of Machine Learning and Data Mining
https://doi.org/10.1007/978-1-4899-7687-1_138
reference/ml/2017
db/reference/ml/ml2017.html#VilaltaGBS17
Pavel Brazdil
Ricardo Vilalta
Christophe G. Giraud-Carrier
Carlos Soares
Metalearning.
818-823
2017
Encyclopedia of Machine Learning and Data Mining
https://doi.org/10.1007/978-1-4899-7687-1_543
reference/ml/2017
db/reference/ml/ml2017.html#BrazdilVGS17
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.
393-406
2016
205
Neurocomputing
https://doi.org/10.1016/j.neucom.2016.04.027
https://www.wikidata.org/entity/Q62627674
db/journals/ijon/ijon205.html#KandaCHSB16
Salisu Mamman Abdulrahman
Pavel Brazdil
Effect of Incomplete Meta-dataset on Average Ranking Method.
1-10
2016
AutoML@ICML
http://proceedings.mlr.press/v64/adbdulrahman_effect_2016.html
conf/icml/2016automl
db/conf/icml/automl2016.html#AbdulrahmanB16
Ana Catarina Forte
Pavel Brazdil
Determining the Level of Clients' Dissatisfaction from Their Commentaries.
74-85
2016
PROPOR
https://doi.org/10.1007/978-3-319-41552-9_7
conf/propor/2016
db/conf/propor/propor2016.html#ForteB16
Salisu Mamman Abdulrahman
Pavel Brazdil
Effect of Incomplete Meta-dataset on Average Ranking Method.
2016
abs/1608.06845
CoRR
http://arxiv.org/abs/1608.06845
db/journals/corr/corr1608.html#AbdulrahmanB16
Mohammadreza Valizadeh
Pavel Brazdil
Density-based graph model summarization: Attaining better performance and efficiency.
2015
19
Intell. Data Anal.
3
https://doi.org/10.3233/IDA-150735
db/journals/ida/ida19.html#ValizadehB15
617-629
Fábio Pinto
Carlos Soares
Pavel Brazdil
Combining regression models and metaheuristics to optimize space allocation in the retail industry.
S149-S162
2015
19
Intell. Data Anal.
s1
https://doi.org/10.3233/IDA-150775
db/journals/ida/ida19.html#PintoSB15
Mohammadreza Valizadeh
Pavel Brazdil
Exploring actor-object relationships for query-focused multi-document summarization.
3109-3121
2015
19
Soft Comput.
11
https://doi.org/10.1007/s00500-014-1471-x
db/journals/soco/soco19.html#ValizadehB15
Luís Trigo
Martin Víta
Rui Sarmento
Pavel Brazdil
Retrieval, Visualization and Validation of Affinities between Documents.
452-459
2015
KMIS
https://doi.org/10.5220/0005662904520459
https://www.wikidata.org/entity/Q58085660
conf/ic3k/2015kmis
db/conf/ic3k/kmis2015.html#TrigoVSB15
Jan N. van Rijn
Salisu Mamman Abdulrahman
Pavel Brazdil
Joaquin Vanschoren
Fast Algorithm Selection Using Learning Curves.
298-309
2015
IDA
https://doi.org/10.1007/978-3-319-24465-5_26
https://www.wikidata.org/entity/Q113959101
conf/ida/2015
db/conf/ida/ida2015.html#RijnABV15
Salisu Mamman Abdulrahman
Pavel Brazdil
Jan N. van Rijn
Joaquin Vanschoren
Algorithm Selection via Meta-learning and Sample-based Active Testing.
55-66
2015
MetaSel@PKDD/ECML
https://ceur-ws.org/Vol-1455/paper-07.pdf
conf/pkdd/2015metasel
db/conf/pkdd/metasel2015.html#AbdulrahmanBRV15
Joaquin Vanschoren
Pavel Brazdil
Christophe G. Giraud-Carrier
Lars Kotthoff
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
CEUR-WS.org
CEUR Workshop Proceedings
1455
2015
https://ceur-ws.org/Vol-1455
https://nbn-resolving.org/urn:nbn:de:0074-1455-8
db/conf/pkdd/metasel2015.html
Salisu Mamman Abdulrahman
Pavel Brazdil
Measures for Combining Accuracy and Time for Meta-learning.
49-50
2014
MetaSel@ECAI
https://ceur-ws.org/Vol-1201/paper-11.pdf
conf/ecai/2014metasel
db/conf/ecai/metasel2014.html#AbdulrahmanB14
Joaquin Vanschoren
Pavel Brazdil
Carlos Soares
Lars Kotthoff
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
CEUR-WS.org
CEUR Workshop Proceedings
1201
2014
https://ceur-ws.org/Vol-1201
https://nbn-resolving.org/urn:nbn:de:0074-1201-9
db/conf/ecai/metasel2014.html
João Cordeiro
Gaël Dias
Pavel Brazdil
Rule Induction for Sentence Reduction.
528-539
2013
EPIA
https://doi.org/10.1007/978-3-642-40669-0_45
https://www.wikidata.org/entity/Q57756090
conf/epia/2013
db/conf/epia/epia2013.html#CordeiroDB13
Rui Leite
Pavel Brazdil
Joaquin Vanschoren
Selecting Classification Algorithms with Active Testing.
117-131
2012
MLDM
https://doi.org/10.1007/978-3-642-31537-4_10
https://www.wikidata.org/entity/Q55967231
conf/mldm/2012
db/conf/mldm/mldm2012.html#LeiteBV12
Luís Moreira-Matias
João Mendes-Moreira 0001
João Gama 0001
Pavel Brazdil
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix.
525-539
2012
MLDM
https://doi.org/10.1007/978-3-642-31537-4_41
https://www.wikidata.org/entity/Q58204766
conf/mldm/2012
db/conf/mldm/mldm2012.html#Moreira-MatiasMGB12
Gintare Grigonyte
João Cordeiro
Gaël Dias
Rumen Moraliyski
Pavel Brazdil
Paraphrase Alignment for Synonym Evidence Discovery.
403-411
2010
COLING
https://aclanthology.org/C10-1046/
conf/coling/2010
db/conf/coling/coling2010.html#GrigonyteCDMB10
Rui Leite
Pavel Brazdil
Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning.
309-314
2010
ECAI
http://www.booksonline.iospress.nl/Content/View.aspx?piid=17763
conf/ecai/2010
db/conf/ecai/ecai2010.html#LeiteB10
Ricardo Vilalta
Christophe G. Giraud-Carrier
Pavel Brazdil
Meta-Learning - Concepts and Techniques.
717-731
2010
Data Mining and Knowledge Discovery Handbook
https://doi.org/10.1007/978-0-387-09823-4_36
reference/dmkdh/2010
db/reference/dmkdh/dmkdh2010.html#VilaltaGB10
Pavel Brazdil
Rui Leite
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning.
173-188
2010
Advances in Machine Learning I
https://doi.org/10.1007/978-3-642-05177-7_8
series/sci/2010-262
db/series/sci/sci262.html#BrazdilL10
Ricardo Vilalta
Christophe G. Giraud-Carrier
Pavel Brazdil
Carlos Soares
Inductive Transfer.
545-548
2010
Encyclopedia of Machine Learning
https://doi.org/10.1007/978-0-387-30164-8_401
reference/ml/2010
db/reference/ml/ml2010.html#VilaltaGBS10
Pavel Brazdil
Ricardo Vilalta
Christophe G. Giraud-Carrier
Carlos Soares
Metalearning.
662-666
2010
Encyclopedia of Machine Learning
https://doi.org/10.1007/978-0-387-30164-8_538
reference/ml/2010
db/reference/ml/ml2010.html#BrazdilVGS10
Pavel Brazdil
Christophe G. Giraud-Carrier
Carlos Soares
Ricardo Vilalta
Metalearning - Applications to Data Mining.
I-X, 1-176
Springer
2009
Cognitive Technologies
db/series/cogtech/index.html#0022052
978-3-540-73262-4
https://doi.org/10.1007/978-3-540-73263-1
João Gama 0001
Vítor Santos Costa
Alípio Mário Jorge
Pavel Brazdil
Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009
5808
2009
https://doi.org/10.1007/978-3-642-04747-3
https://www.wikidata.org/entity/Q58204922
978-3-642-04746-6
Discovery Science
Lecture Notes in Computer Science
Springer
db/conf/dis/dis2009.html
Christophe G. Giraud-Carrier
Pavel Brazdil
Carlos Soares
Ricardo Vilalta
Meta-Learning.
1207-1215
2009
Encyclopedia of Data Warehousing and Mining
http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10976
reference/dataware/2009
db/reference/dataware/dataware2009.html#Giraud-CarrierBSV09
João Cordeiro
Gaël Dias
Pavel Brazdil
New Functions for Unsupervised Asymmetrical Paraphrase Detection.
12-23
2007
2
J. Softw.
4
https://doi.org/10.4304/jsw.2.4.12-23
http://www.jsoftware.us/show-68-1035-1.html
db/journals/jsw/jsw2.html#CordeiroDB07
Alberto Freitas
Altamiro da Costa Pereira
Pavel Brazdil
Cost-Sensitive Decision Trees Applied to Medical Data.
303-312
2007
conf/dawak/2007
DaWaK
https://doi.org/10.1007/978-3-540-74553-2_28
https://www.wikidata.org/entity/Q57569854
db/conf/dawak/dawak2007.html#FreitasCB07
Rui Leite
Pavel Brazdil
An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers.
87-98
2007
conf/epia/2007w
EPIA Workshops
https://doi.org/10.1007/978-3-540-77002-2_8
db/conf/epia/epia2007w.html#LeiteB07
João Cordeiro
Gaël Dias
Pavel Brazdil
Learning Paraphrases from WNS Corpora.
193-198
2007
conf/flairs/2007
FLAIRS
db/conf/flairs/flairs2007.html#CordeiroDB07
http://www.aaai.org/Library/FLAIRS/2007/flairs07-040.php
Fabrice Colas
Pavel Paclík
Joost N. Kok
Pavel Brazdil
Does SVM Really Scale Up to Large Bag of Words Feature Spaces?
296-307
2007
conf/ida/2007
IDA
https://doi.org/10.1007/978-3-540-74825-0_27
db/conf/ida/ida2007.html#ColasPKB07
Fabrice Colas
Pavel Brazdil
Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks.
169-178
2006
conf/ifip12/2006
IFIP AI
https://doi.org/10.1007/978-0-387-34747-9_18
db/conf/ifip12/ai2006.html#ColasB06
Pedro Campos 0001
Pavel Brazdil
Paula Brito
Organizational Survival In Cooperation Networks: The Case Of Automobile Manufacturing.
77-84
2006
PRO-VE
https://doi.org/10.1007/978-0-387-38269-2_8
https://www.wikidata.org/entity/Q57675577
conf/ifip5-5/2006
db/conf/ifip5-5/prove2006.html#CamposBB06
Carlos Soares
Pavel Brazdil
Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features.
564-568
2006
conf/sac/2006
SAC
https://doi.org/10.1145/1141277.1141408
db/conf/sac/sac2006.html#SoaresB06
Fabrice Colas
Pavel Brazdil
On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks.
45-52
2006
conf/tsd/2006
TSD
https://doi.org/10.1007/11846406_6
db/conf/tsd/tsd2006.html#ColasB06
Rui Leite
Pavel Brazdil
Predicting relative performance of classifiers from samples.
497-503
2005
conf/icml/2005
ICML
https://doi.org/10.1145/1102351.1102414
db/conf/icml/icml2005.html#LeiteB05
Ricardo Vilalta
Christophe G. Giraud-Carrier
Pavel Brazdil
Meta-Learning.
731-748
2005
books/sp/DM2005
The Data Mining and Knowledge Discovery Handbook
db/books/collections/datamining2005.html#VilaltaGB05
João Gama 0001
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
3720
2005
3-540-29243-8
ECML
Lecture Notes in Computer Science
Springer
https://doi.org/10.1007/11564096
db/conf/ecml/ecml2005.html
Alípio Jorge
Luís Torgo
Pavel Brazdil
Rui Camacho
João Gama 0001
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
3721
2005
3-540-29244-6
PKDD
Lecture Notes in Computer Science
Springer
https://doi.org/10.1007/11564126
db/conf/pkdd/pkdd2005.html
Ricardo Vilalta
Christophe G. Giraud-Carrier
Pavel Brazdil
Carlos Soares
Using Meta-Learning to Support Data Mining.
31-45
2004
1
Int. J. Comput. Sci. Appl.
1
http://www.tmrfindia.org/ijcsa/V1I13.pdf
db/journals/ijcsa/ijcsa1.html#VilaltaGBS04
Christophe G. Giraud-Carrier
Ricardo Vilalta
Pavel Brazdil
Introduction to the Special Issue on Meta-Learning.
187-193
2004
54
Mach. Learn.
3
https://doi.org/10.1023/B:MACH.0000015878.60765.42
db/journals/ml/ml54.html#Giraud-CarrierVB04
Carlos Soares
Pavel Brazdil
Petr Kuba
A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.
195-209
2004
54
Mach. Learn.
3
https://doi.org/10.1023/B:MACH.0000015879.28004.9b
db/journals/ml/ml54.html#SoaresBK04
Rui Leite
Pavel Brazdil
Improving Progressive Sampling via Meta-learning on Learning Curves.
250-261
https://doi.org/10.1007/978-3-540-30115-8_25
2004
conf/ecml/2004
ECML
db/conf/ecml/ecml2004.html#LeiteB04
Rui Leite
Pavel Brazdil
A Meta-learning Approach to Improve Progressive Sampling.
25-34
2004
conf/pris/2004
PRIS
db/conf/pris/pris2004.html#LeiteB04
João Cordeiro
Pavel Brazdil
Learning Text Extraction Rules, without Ignoring Stop Words.
128-138
2004
conf/pris/2004
PRIS
db/conf/pris/pris2004.html#CordeiroB04
Ryszard S. Michalski
Pavel Brazdil
Introduction.
219-222
2003
50
Mach. Learn.
3
db/journals/ml/ml50.html#MichalskiB03
https://doi.org/10.1023/A:1021756216900
Pavel Brazdil
Carlos Soares
Joaquim Pinto da Costa
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results.
251-277
2003
50
Mach. Learn.
3
db/journals/ml/ml50.html#BrazdilSC03
https://doi.org/10.1023/A:1021713901879
https://www.wikidata.org/entity/Q62849511
Rui Leite
Pavel Brazdil
Improving Progressive Sampling via Meta-learning.
313-323
https://doi.org/10.1007/978-3-540-24580-3_37
2003
conf/epia/2003
EPIA
db/conf/epia/epia2003.html#LeiteB03
Yonghong Peng
Peter A. Flach
Carlos Soares
Pavel Brazdil
Improved Dataset Characterisation for Meta-learning.
141-152
2002
conf/dis/2002
Discovery Science
https://doi.org/10.1007/3-540-36182-0_14
https://www.wikidata.org/entity/Q58642831
db/conf/dis/dis2002.html#PengFSB02
Carlos Soares
Pavel Brazdil
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods.
80-89
2002
conf/iberamia/2002
IBERAMIA
https://doi.org/10.1007/3-540-36131-6_9
db/conf/iberamia/iberamia2002.html#SoaresB02
Rui Camacho
Pavel Brazdil
Improving the Robustness and Encoding Complexity of Behavioural Clones.
37-48
2001
conf/ecml/2001
ECML
https://doi.org/10.1007/3-540-44795-4_4
db/conf/ecml/ecml2001.html#CamachoB01
Pavel Brazdil
Carlos Soares
Rui Pereira
Reducing Rankings of Classifiers by Eliminating Redundant Classifiers.
14-21
https://doi.org/10.1007/3-540-45329-6_5
2001
conf/epia/2001
EPIA
db/conf/epia/epia2001.html#BrazdilSP01
Carlos Soares
Johann Petrak
Pavel Brazdil
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing.
88-95
https://doi.org/10.1007/3-540-45329-6_12
2001
conf/epia/2001
EPIA
db/conf/epia/epia2001.html#SoaresPB01
Pavel Brazdil
Ranking Classification Algorithms and Combinations of Methods.
12-13
2001
conf/pris/2001
PRIS
db/conf/pris/pris2001.html#Brazdil01
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
EPIA
Lecture Notes in Computer Science
2258
Springer
2001
3-540-43030-X
https://doi.org/10.1007/3-540-45329-6
db/conf/epia/epia2001.html
João Gama 0001
Pavel Brazdil
Cascade Generalization.
315-343
2000
41
Mach. Learn.
3
db/journals/ml/ml41.html#GamaB00
https://doi.org/10.1023/A:1007652114878
https://www.wikidata.org/entity/Q58205146
Pavel Brazdil
Carlos Soares
A Comparison of Ranking Methods for Classification Algorithm Selection.
63-74
https://doi.org/10.1007/3-540-45164-1_8
2000
conf/ecml/2000
ECML
db/conf/ecml/ecml2000.html#BrazdilS00
Carlos Soares
Pavel Brazdil
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information.
126-135
https://doi.org/10.1007/3-540-45372-5_13
2000
conf/pkdd/2000
PKDD
db/conf/pkdd/pkdd2000.html#SoaresB00
João Gama 0001
Pavel Brazdil
Linear tree.
1-22
1999
3
Intell. Data Anal.
1
https://doi.org/10.1016/S1088-467X(99)00002-5
https://www.wikidata.org/entity/Q58205165
db/journals/ida/ida3.html#GamaB99
Alneu de Andrade Lopes
Pavel Brazdil
Redundant Covering with Global Evaluation in the RC1 Inductive Learner.
111-120
1998
conf/sbia/1998
SBIA
db/conf/sbia/sbia98.html#LopesB98
https://doi.org/10.1007/10692710_12
Alípio Jorge
Pavel Brazdil
Integrity Constraints in ILP Using a Monte Carlo Approach.
229-244
1996
conf/ilp/1996
Inductive Logic Programming Workshop
db/conf/ilp/ilp96.html#JorgeB96
https://doi.org/10.1007/3-540-63494-0_58
Alípio Jorge
Pavel Brazdil
Learning Recursion with Iterative Bootstrap Induction (Extended Abstract).
299-302
1995
conf/ecml/1995
ECML
db/conf/ecml/ecml95.html#JorgeB95
https://doi.org/10.1007/3-540-59286-5_72
João Gama 0001
Pavel Brazdil
Characterization of Classification Algorithms.
189-200
1995
conf/epia/1995
EPIA
db/conf/epia/epia95.html#GamaB95
https://doi.org/10.1007/3-540-60428-6_16
https://www.wikidata.org/entity/Q58205187
Pavel Brazdil
Alípio Jorge
Learning by Refining Algorithm Sketches.
443-447
1994
conf/ecai/1994
ECAI
db/conf/ecai/ecai94.html#BrazdilJ94
Pavel Brazdil
João Gama 0001
Bob Henery
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning.
83-102
1994
conf/ecml/1994
ECML
db/conf/ecml/ecml94.html#BrazdilGH94
https://doi.org/10.1007/3-540-57868-4_52
https://www.wikidata.org/entity/Q58205190
Pavel Brazdil
Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings
ECML
Lecture Notes in Computer Science
667
Springer
1993
3-540-56602-3
https://doi.org/10.1007/3-540-56602-3
db/conf/ecml/ecml93.html
Pavel Brazdil
Approaches to Inductive Logic Programming.
139-160
1992
conf/ac/1992ai
Advanced Topics in Artificial Intelligence
db/conf/ac/ai1992.html#Brazdil92
https://doi.org/10.1007/3-540-55681-8_34
Pavel Brazdil
Ivan Bruha
A Method of Processing Unknown Attribute Values by ID3.
253-256
1992
conf/icci/1992
ICCI
db/conf/icci/icci1992.html#BrazdilB92
Pavel Brazdil
Learning in multi-agent environments.
15-
1991
ALT
conf/alt/1991
db/conf/alt/alt1991.html#Brazdil91
Pavel Brazdil
Matjaz Gams
Sati S. Sian
Luís Torgo
Walter Van de Velde
Panel: Learning in Distributed Systems and Multi-Agent Environments.
412-423
1991
conf/ecml/1991
EWSL
db/conf/ecml/ewsl91.html#BrazdilGSTV91
https://doi.org/10.1007/BFb0017034
Pavel Brazdil
Stephen H. Muggleton
Learning to Relate Terms in a Multiple Agent Environment.
424-439
1991
conf/ecml/1991
EWSL
db/conf/ecml/ewsl91.html#BrazdilM91
https://doi.org/10.1007/BFb0017035
Pavel Brazdil
Knowledge States and Meta-Knowledge Maintenance.
138-146
1987
conf/ecml/1987
EWSL
db/conf/ecml/ewsl87.html#Brazdil87
Pavel Brazdil
Use of Derivation Trees in Discrimination.
239-244
1984
conf/ecai/1984
ECAI
db/conf/ecai/ecai84.html#Brazdil84
Pavel Brazdil
Experimental Learning Model.
46-50
1978
conf/ecai/1978
AISB/GI (ECAI)
db/conf/ecai/ecai78.html#Brazdil78
Pavel Brazdil
Learning Simple Arithmetic.
346
1977
conf/ijcai/1977
IJCAI
db/conf/ijcai/ijcai77.html#Brazdil77
http://ijcai.org/Proceedings/77-1/Papers/058.pdf
Idris Abdulmumin
Salisu Mamman Abdulrahman
Alhassan Adamu
David Ifeoluwa Adelani
Ibrahim Said Ahmad
Felermino Dário Mário António Ali
Aremu Anuoluwapo
Stephen Arthur
Steven Arthur
Abinew Ali Ayele
Hailu Beshada Balcha
Tadesse Destaw Belay
Bello Shehu Bello
Meriem Beloucif
Paula Brito
Ivan Bruha
Miguel Cachada
Rui Camacho
Pedro Campos 0001
Douglas de O. Cardoso
André C. P. L. F. de Carvalho
Sisay Adugna Chala
Monojit Choudhury
Fabrice Colas
João Cordeiro
Mário Cordeiro
António Correia
Joaquim Pinto da Costa
Vítor Santos Costa
Davis David
Kemmily Dearo
Gaël Dias
Chris C. EmezueChris Chinenye Emezue
Peter A. Flach
Benjamim Fonseca
Ana Catarina Forte
Alberto Freitas
Fernando Freitas
João Gama 0001
Matjaz Gams
Hagos Tesfahun Gebremichael
Christophe G. Giraud-Carrier
Henry Gouk
Gintare Grigonyte
Andrea Grover
Diogo Guimarães
Tajuddeen Rabiu GwadabeTajuddeen Gwadabe
Bob Henery
Dusan Hetlerovic
Holger H. Hoos
Oumaima Hourrane
Eduardo R. Hruschka
Frank Hutter
Shoaib Jameel
Alípio Jeorge
Alípio Mário JorgeAlípio M. JorgeAlípio Jorge
Jorge Y. Kanda
Masahiro Kimura
Joost N. Kok
Lars Kotthoff
Petr Kuba
Falalu Ibrahim LawanFalalu Ibrahim
Rui Leite
Alneu de Andrade Lopes
João Mendes-Moreira 0001
Wendimu Baye Messelle
Ryszard S. Michalski
Saif M. Mohammad
Felix Mohr
Rumen Moraliyski
Luís Moreira-Matias
Vânia Moutinho
Stephen H. Muggleton
Shamsuddeen Hassan Muhammad
Timóteo Muhongo
Fernando Antônio Asevedo Nóbrega
Bernard Opoku
Salomey Osei
Nedjma Ousidhoum
Pavel Paclík
Thiago A. S. Pardo
Hugo Paredes
Dennis Paulino
Yonghong Peng
Altamiro da Costa Pereira
Rui Pereira
Johann Petrak
Fábio Pinto
Lubos Popelínský
Jan N. van Rijn
Sebastian Ruder
Samuel Rutunda
Saheed Abdullahi Salahudeen
Rui SarmentoRui Portocarrero Sarmento
Daniel Schneider 0008
Sati S. Sian
Fátima Silva
Carlos Soares
Luís Torgo
Luís Trigo
Mohammadreza Valizadeh
Joaquin Vanschoren
Walter Van de Velde
Ricardo Vilalta
Martin Víta
Seid Muhie Yimam
Wan Mohd Nazmee Wan Zainon