| 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 | ||
| 2010 | ||
| j3 | Paulo J. Azevedo, Alípio Mário Jorge: Ensembles of jittered association rule classifiers. Data Min. Knowl. Discov. 21(1): 91-129 (2010) | |
| j2 | ||
| c18 | ||
| 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 | ||
| 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 | |
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