 | 2012 |
| 27 |  | Alípio Mário Jorge,
Paulo J. Azevedo:
Optimal leverage association rules with numerical interval conditions.
Intell. Data Anal. 16(1): 25-47 (2012) |
| 26 |  | Nuno Castro,
Paulo J. Azevedo:
Significant motifs in time series.
Statistical Analysis and Data Mining 5(1): 35-53 (2012) |
| 2011 |
| 25 |  | 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 |
| 24 |  | Nuno Castro,
Paulo J. Azevedo:
Time Series Motifs Statistical Significance.
SDM 2011: 687-698 |
| 2010 |
| 23 |  | Nuno Castro,
Paulo J. Azevedo:
Multiresolution Motif Discovery in Time Series.
SDM 2010: 665-676 |
| 22 |  | Paulo J. Azevedo,
Alípio Mário Jorge:
Ensembles of jittered association rule classifiers.
Data Min. Knowl. Discov. 21(1): 91-129 (2010) |
| 21 |  | Paulo J. Azevedo:
Rules for contrast sets.
Intell. Data Anal. 14(6): 623-640 (2010) |
| 2009 |
| 20 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo:
Deterministic Motif Mining in Protein Databases.
Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2632-2656 |
| 2008 |
| 19 |  | 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 |
| 18 |  | Alípio Jorge,
João Poças,
Paulo J. Azevedo:
A Methodology for Exploring Association Models.
Visual Data Mining 2008: 46-59 |
| 2007 |
| 17 |  | 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 |
| 16 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo:
Evaluating Protein Motif Significance Measures: A Case Study on Prosite Patterns.
CIDM 2007: 171-178 |
| 15 |  | Paulo J. Azevedo,
Alípio Mário Jorge:
Iterative Reordering of Rules for Building Ensembles Without Relearning.
Discovery Science 2007: 56-67 |
| 14 |  | Paulo J. Azevedo,
Alípio Mário Jorge:
Comparing Rule Measures for Predictive Association Rules.
ECML 2007: 510-517 |
| 13 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo:
Evaluating deterministic motif significance measures in protein databases.
Algorithms for Molecular Biology 2: (2007) |
| 2006 |
| 12 |  | Alípio Mário Jorge,
Fernando Pereira,
Paulo J. Azevedo:
Visual Interactive Subgroup Discovery with Numerical Properties of Interest.
Discovery Science 2006: 301-305 |
| 11 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo,
Cândida G. Silva,
Rui M. M. Brito:
Mining Approximate Motifs in Time Series.
Discovery Science 2006: 89-101 |
| 10 |  | Alípio Mário Jorge,
Paulo J. Azevedo,
Fernando Pereira:
Distribution Rules with Numeric Attributes of Interest.
PKDD 2006: 247-258 |
| 9 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo:
Query Driven Sequence Pattern Mining.
SBBD 2006: 1-15 |
| 2005 |
| 8 |  | Alípio Jorge,
Paulo J. Azevedo:
An Experiment with Association Rules and Classification: Post-Bagging and Conviction.
Discovery Science 2005: 137-149 |
| 7 |  | Rui Camacho,
Alexessander Alves,
Joaquim Pinto da Costa,
Paulo J. Azevedo:
Introduction.
EPIA 2005: 235-235 |
| 6 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo:
Protein Sequence Classification Through Relevant Sequence Mining and Bayes Classifiers.
EPIA 2005: 236-247 |
| 5 |  | 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 |
| 4 |  | Pedro Gabriel Ferreira,
Ronnie Alves,
Paulo J. Azevedo,
Orlando Belo:
A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules.
JISBD 2005: 131-138 |
| 3 |  | Pedro Gabriel Ferreira,
Paulo J. Azevedo:
Protein Sequence Pattern Mining with Constraints.
PKDD 2005: 96-107 |
| 2004 |
| 2 |  | Miguel Veloso,
Alípio Jorge,
Paulo J. Azevedo:
Model-Based Collaborative Filtering for Team Building Support.
ICEIS (2) 2004: 241-248 |
| 2002 |
| 1 |  | Alípio Jorge,
João Poças,
Paulo J. Azevedo:
Post-processing Operators for Browsing Large Sets of Association Rules.
Discovery Science 2002: 414-421 |