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2020 – today
- 2023
[j11]João Pimentel
, Paulo J. Azevedo, Luís Torgo:
Subgroup mining for performance analysis of regression models. Expert Syst. J. Knowl. Eng. 40(1) (2023)- [j10]Shazia Tabassum, João Gama, Paulo J. Azevedo, Mário Cordeiro, Carlos Martins, Andre Martins:
Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs. Expert Syst. J. Knowl. Eng. 40(5) (2023) - 2020
- [c25]Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo:
Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. IDEAL (2) 2020: 516-523
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 Syst. J. Knowl. Eng. 32(3): 435-443 (2015) - [j6]Nuno Filipe 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 Filipe Castro, Paulo J. Azevedo:
Significant motifs in time series. Stat. Anal. Data Min. 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 Filipe 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 Filipe 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 Mol. Biol. 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, R. 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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