Post-processing Operators for Browsing Large Sets of Association Rules. - Alípio Jorge; João Poças; Paulo J. Azevedo (Discovery Science, 2002)

Model-Based Collaborative Filtering for Team Building Support. - Miguel Veloso; Alípio Jorge; Paulo J. Azevedo (ICEIS (2), 2004)

An Experiment with Association Rules and Classification: Post-Bagging and Conviction. - Alípio Jorge; Paulo J. Azevedo (Discovery Science, 2005)

Introduction. - Rui Camacho; Alexessander Alves; Joaquim Pinto da Costa; Paulo J. Azevedo (EPIA, 2005)

Protein Sequence Classification Through Relevant Sequence Mining and Bayes Classifiers. - Pedro Gabriel Ferreira; Paulo J. Azevedo (EPIA, 2005)

Detection of Hydrophobic Clusters in Molecular Dynamics Protein Unfolding Simulations Using Association Rules. - Paulo J. Azevedo; Cândida G. Silva; R. J. Rodrigues; Nuno Loureiro-Ferreira; Rui M. M. Brito (ISBMDA, 2005)

A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules. - Pedro Gabriel Ferreira; Ronnie Alves; Paulo J. Azevedo; Orlando Belo (JISBD, 2005)

Protein Sequence Pattern Mining with Constraints. - Pedro Gabriel Ferreira; Paulo J. Azevedo (PKDD, 2005)

Mining Approximate Motifs in Time Series. - Pedro Gabriel Ferreira; Paulo J. Azevedo; Cândida G. Silva; Rui M. M. Brito (Discovery Science, 2006)

Visual Interactive Subgroup Discovery with Numerical Properties of Interest. - Alípio Mário Jorge; Fernando Pereira 002; Paulo J. Azevedo (Discovery Science, 2006)

Distribution Rules with Numeric Attributes of Interest. - Alípio Mário Jorge; Paulo J. Azevedo; Fernando Pereira 002 (PKDD, 2006)

Query Driven Sequence Pattern Mining. - Pedro Gabriel Ferreira; Paulo J. Azevedo (SBBD, 2006)

A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering. - Pedro Gabriel Ferreira; Cândida G. Silva; Rui M. M. Brito; Paulo J. Azevedo (CIBCB, 2007)

Evaluating Protein Motif Significance Measures: A Case Study on Prosite Patterns. - Pedro Gabriel Ferreira; Paulo J. Azevedo (CIDM, 2007)

Iterative Reordering of Rules for Building Ensembles Without Relearning. - Paulo J. Azevedo; Alípio Mário Jorge (Discovery Science, 2007)

Comparing Rule Measures for Predictive Association Rules. - Paulo J. Azevedo; Alípio Mário Jorge (ECML, 2007)

Evaluating deterministic motif significance measures in protein databases. - Pedro Gabriel Ferreira; Paulo J. Azevedo (Algorithms Mol. Biol., 2007)

Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations. - Pedro Gabriel Ferreira; Cândida G. Silva; Paulo J. Azevedo; Rui M. M. Brito (CIBB, 2008)

A Methodology for Exploring Association Models. - Alípio Jorge; João Poças; Paulo J. Azevedo (Visual Data Mining, 2008)

Deterministic Motif Mining in Protein Databases. - Pedro Gabriel Ferreira; Paulo J. Azevedo (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Multiresolution Motif Discovery in Time Series. - Nuno Filipe Castro; Paulo J. Azevedo (SDM, 2010)

Ensembles of jittered association rule classifiers. - Paulo J. Azevedo; Alípio Mário Jorge (Data Min. Knowl. Discov., 2010)

Rules for contrast sets. - Paulo J. Azevedo (Intell. Data Anal., 2010)

Mining Association Rules for Label Ranking. - Cláudio Rebelo de Sá; Carlos Soares; Alípio Mário Jorge; Paulo J. Azevedo; Joaquim Pinto da Costa (PAKDD (2), 2011)

Time Series Motifs Statistical Significance. - Nuno Filipe Castro; Paulo J. Azevedo (SDM, 2011)

Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. - Alípio Mário Jorge; João Mendes-Moreira 001; Jorge Freire de Sousa; Carlos Soares; Paulo J. Azevedo (IDA, 2012)

Optimal leverage association rules with numerical interval conditions. - Alípio Mário Jorge; Paulo J. Azevedo (Intell. Data Anal., 2012)

Significant motifs in time series. - Nuno Filipe Castro; Paulo J. Azevedo (Stat. Anal. Data Min., 2012)

Classifying heart sounds using multiresolution time series motifs: an exploratory study. - Elsa Ferreira Gomes; Alípio Mário Jorge; Paulo J. Azevedo (C3S2E, 2013)

Multi-interval Discretization of Continuous Attributes for Label Ranking. - Cláudio Rebelo de Sá; Carlos Soares; Arno J. Knobbe; Paulo J. Azevedo; Alípio Mário Jorge (Discovery Science, 2013)

Classifying heart sounds using SAX motifs, random forests and text mining techniques. - Elsa Ferreira Gomes; Alípio Mário Jorge; Paulo J. Azevedo (IDEAS, 2014)

Contrast set mining in temporal databases. - André Magalhães; Paulo J. Azevedo (Expert Syst. J. Knowl. Eng., 2015)

Automatically estimating iSAX parameters. - Nuno Filipe Castro; Paulo J. Azevedo (Intell. Data Anal., 2015)

Preference rules for label ranking: Mining patterns in multi-target relations. - Cláudio Rebelo de Sá; Paulo J. Azevedo; Carlos Soares; Alípio Mário Jorge; Arno J. Knobbe (Inf. Fusion, 2018)

Discovering a taste for the unusual: exceptional models for preference mining. - Cláudio Rebelo de Sá; Wouter Duivesteijn; Paulo J. Azevedo; Alípio Mário Jorge; Carlos Soares; Arno J. Knobbe (Mach. Learn., 2018)

Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. - Alberto Oliveira; Ricardo Freitas; Alípio Jorge; Vítor Amorim; Nuno Moniz; Ana C. R. Paiva; Paulo J. Azevedo (IDEAL (2), 2020)

Subgroup mining for performance analysis of regression models. - João Pimentel 003; Paulo J. Azevedo; Luís Torgo (Expert Syst. J. Knowl. Eng., 2023)

Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs. - Shazia Tabassum; João Gama 001; Paulo J. Azevedo; Mário Cordeiro; Carlos Martins; Andre Martins (Expert Syst. J. Knowl. Eng., 2023)