Paulo J. Azevedo
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2010 – 2019
- 2019
[i1]Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe:
Preference rules for label ranking: Mining patterns in multi-target relations. CoRR abs/1903.08504 (2019)- 2018
[j9]Cláudio Rebelo de Sá
, Paulo J. Azevedo
, Carlos Soares
, Alípio Mário Jorge
, Arno J. Knobbe:
Preference rules for label ranking: Mining patterns in multi-target relations. Inf. Fusion 40: 112-125 (2018)
[j8]Cláudio Rebelo de Sá
, Wouter Duivesteijn, Paulo J. Azevedo
, Alípio Mário Jorge
, Carlos Soares
, Arno J. Knobbe:
Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. 107(11): 1775-1807 (2018)- 2015
[j7]André Magalhães, Paulo J. Azevedo
:
Contrast set mining in temporal databases. Expert Systems 32(3): 435-443 (2015)
[j6]Nuno C. Castro, Paulo J. Azevedo
:
Automatically estimating iSAX parameters. Intell. Data Anal. 19(3): 581-595 (2015)- 2014
[c24]Elsa Ferreira Gomes, Alípio Mário Jorge
, Paulo J. Azevedo
:
Classifying heart sounds using SAX motifs, random forests and text mining techniques. IDEAS 2014: 334-337- 2013
[c23]Elsa Ferreira Gomes, Alípio Mário Jorge
, Paulo J. Azevedo
:
Classifying heart sounds using multiresolution time series motifs: an exploratory study. C3S2E 2013: 23-30
[c22]Cláudio Rebelo de Sá
, Carlos Soares
, Arno J. Knobbe, Paulo J. Azevedo
, Alípio Mário Jorge
:
Multi-interval Discretization of Continuous Attributes for Label Ranking. Discovery Science 2013: 155-169- 2012
[j5]Alípio Mário Jorge
, Paulo J. Azevedo
:
Optimal leverage association rules with numerical interval conditions. Intell. Data Anal. 16(1): 25-47 (2012)
[j4]Nuno Castro, Paulo J. Azevedo
:
Significant motifs in time series. Statistical Analysis and Data Mining 5(1): 35-53 (2012)
[c21]Alípio Mário Jorge
, João Mendes-Moreira
, Jorge Freire de Sousa
, Carlos Soares
, Paulo J. Azevedo
:
Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. IDA 2012: 139-149- 2011
[c20]Cláudio Rebelo de Sá, Carlos Soares
, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa:
Mining Association Rules for Label Ranking. PAKDD (2) 2011: 432-443
[c19]Nuno Castro, Paulo J. Azevedo
:
Time Series Motifs Statistical Significance. SDM 2011: 687-698- 2010
[j3]Paulo J. Azevedo
, Alípio Mário Jorge
:
Ensembles of jittered association rule classifiers. Data Min. Knowl. Discov. 21(1): 91-129 (2010)
[j2]Paulo J. Azevedo
:
Rules for contrast sets. Intell. Data Anal. 14(6): 623-640 (2010)
[c18]Nuno Castro, Paulo J. Azevedo
:
Multiresolution Motif Discovery in Time Series. SDM 2010: 665-676
2000 – 2009
- 2009
[p2]Pedro Gabriel Ferreira, Paulo J. Azevedo:
Deterministic Motif Mining in Protein Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2632-2656- 2008
[c17]Pedro Gabriel Ferreira, Cândida G. Silva
, Paulo J. Azevedo
, Rui M. M. Brito
:
Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations. CIBB 2008: 156-166
[p1]Alípio Jorge
, João Poças, Paulo J. Azevedo
:
A Methodology for Exploring Association Models. Visual Data Mining 2008: 46-59- 2007
[j1]Pedro Gabriel Ferreira, Paulo J. Azevedo
:
Evaluating deterministic motif significance measures in protein databases. Algorithms for Molecular Biology 2 (2007)
[c16]Pedro Gabriel Ferreira, Cândida G. Silva, Rui M. M. Brito, Paulo J. Azevedo:
A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering. CIBCB 2007: 461-468
[c15]Pedro Gabriel Ferreira, Paulo J. Azevedo
:
Evaluating Protein Motif Significance Measures: A Case Study on Prosite Patterns. CIDM 2007: 171-178
[c14]Paulo J. Azevedo
, Alípio Mário Jorge
:
Iterative Reordering of Rules for Building Ensembles Without Relearning. Discovery Science 2007: 56-67
[c13]Paulo J. Azevedo
, Alípio Mário Jorge
:
Comparing Rule Measures for Predictive Association Rules. ECML 2007: 510-517- 2006
[c12]Pedro Gabriel Ferreira, Paulo J. Azevedo
, Cândida G. Silva, Rui M. M. Brito:
Mining Approximate Motifs in Time Series. Discovery Science 2006: 89-101
[c11]Alípio Mário Jorge
, Fernando Pereira, Paulo J. Azevedo
:
Visual Interactive Subgroup Discovery with Numerical Properties of Interest. Discovery Science 2006: 301-305
[c10]Alípio Mário Jorge
, Paulo J. Azevedo
, Fernando Pereira:
Distribution Rules with Numeric Attributes of Interest. PKDD 2006: 247-258
[c9]Pedro Gabriel Ferreira, Paulo J. Azevedo:
Query Driven Sequence Pattern Mining. SBBD 2006: 1-15- 2005
[c8]Alípio Jorge
, Paulo J. Azevedo
:
An Experiment with Association Rules and Classification: Post-Bagging and Conviction. Discovery Science 2005: 137-149
[c7]Rui Camacho
, Alexessander Alves
, Joaquim Pinto da Costa, Paulo J. Azevedo
:
Introduction. EPIA 2005: 235-235
[c6]Pedro Gabriel Ferreira, Paulo J. Azevedo
:
Protein Sequence Classification Through Relevant Sequence Mining and Bayes Classifiers. EPIA 2005: 236-247
[c5]Paulo J. Azevedo
, Cândida G. Silva, J. Rodrigues
, Nuno Loureiro-Ferreira, Rui M. M. Brito:
Detection of Hydrophobic Clusters in Molecular Dynamics Protein Unfolding Simulations Using Association Rules. ISBMDA 2005: 329-337
[c4]Pedro Gabriel Ferreira, Ronnie Alves, Paulo J. Azevedo, Orlando Belo:
A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules. JISBD 2005: 131-138
[c3]Pedro Gabriel Ferreira, Paulo J. Azevedo
:
Protein Sequence Pattern Mining with Constraints. PKDD 2005: 96-107- 2004
[c2]Miguel Veloso, Alípio Jorge, Paulo J. Azevedo:
Model-Based Collaborative Filtering for Team Building Support. ICEIS (2) 2004: 241-248- 2002
[c1]Alípio Jorge
, João Poças, Paulo J. Azevedo
:
Post-processing Operators for Browsing Large Sets of Association Rules. Discovery Science 2002: 414-421
Coauthor Index
aka: Alípio Jorge

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