Paulo J. Azevedo

42 papers A 2B 9C 3Misc 2Journal 13Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Grasynda: Graph-Based Synthetic Time Series Generation. IDA Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
2026	J	`jnl`	Grasynda: Graph-based Synthetic Time Series Generation. CoRR Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
2025	B	`conf`	Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. DS Carlos Soares, Paulo J. Azevedo, Vítor Cerqueira, Luís Torgo
2023	J	`jnl`	Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs. Expert Syst. J. Knowl. Eng. Shazia Tabassum, João Gama, Paulo J. Azevedo, Mário Cordeiro, Carlos Martins, Andre Martins
2023	J	`jnl`	Subgroup mining for performance analysis of regression models. Expert Syst. J. Knowl. Eng. João Pimentel, Paulo J. Azevedo, Luís Torgo
2020	—	`conf`	Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. IDEAL (2) Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo
2019	J	`jnl`	Preference rules for label ranking: Mining patterns in multi-target relations. CoRR Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe
2018	J	`jnl`	Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe
2018	J	`jnl`	Preference rules for label ranking: Mining patterns in multi-target relations. Inf. Fusion Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe
2015	J	`jnl`	Automatically estimating iSAX parameters. Intell. Data Anal. Nuno Filipe Castro, Paulo J. Azevedo
2015	J	`jnl`	Contrast set mining in temporal databases. Expert Syst. J. Knowl. Eng. André Magalhães, Paulo J. Azevedo
2014	C	`conf`	Classifying heart sounds using SAX motifs, random forests and text mining techniques. IDEAS Elsa Ferreira Gomes, Alípio Mário Jorge, Paulo J. Azevedo
2013	—	`conf`	Classifying heart sounds using multiresolution time series motifs: an exploratory study. C3S2E Elsa Ferreira Gomes, Alípio Mário Jorge, Paulo J. Azevedo
2013	B	`conf`	Multi-interval Discretization of Continuous Attributes for Label Ranking. Discovery Science Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge
2012	B	`conf`	Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. IDA Alípio Mário Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo
2012	J	`jnl`	Optimal leverage association rules with numerical interval conditions. Intell. Data Anal. Alípio Mário Jorge, Paulo J. Azevedo
2012	J	`jnl`	Significant motifs in time series. Stat. Anal. Data Min. Nuno Filipe Castro, Paulo J. Azevedo
2011	—	`conf`	Mining Association Rules for Label Ranking. PAKDD (2) Cláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa
2011	A	`conf`	Time Series Motifs Statistical Significance. SDM Nuno Filipe Castro, Paulo J. Azevedo
2010	J	`jnl`	Ensembles of jittered association rule classifiers. Data Min. Knowl. Discov. Paulo J. Azevedo, Alípio Mário Jorge
2010	A	`conf`	Multiresolution Motif Discovery in Time Series. SDM Nuno Filipe Castro, Paulo J. Azevedo
2010	J	`jnl`	Rules for contrast sets. Intell. Data Anal. Paulo J. Azevedo
2009	—	`ch.`	Deterministic Motif Mining in Protein Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications Pedro Gabriel Ferreira, Paulo J. Azevedo
2008	—	`ch.`	A Methodology for Exploring Association Models. Visual Data Mining Alípio Jorge, João Poças, Paulo J. Azevedo
2008	—	`conf`	Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations. CIBB Pedro Gabriel Ferreira, Cândida G. Silva, Paulo J. Azevedo, Rui M. M. Brito
2007	C	`conf`	A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering. CIBCB Pedro Gabriel Ferreira, Cândida G. Silva, Rui M. M. Brito, Paulo J. Azevedo
2007	—	`conf`	Comparing Rule Measures for Predictive Association Rules. ECML Paulo J. Azevedo, Alípio Mário Jorge
2007	C	`conf`	Evaluating Protein Motif Significance Measures: A Case Study on Prosite Patterns. CIDM Pedro Gabriel Ferreira, Paulo J. Azevedo
2007	J	`jnl`	Evaluating deterministic motif significance measures in protein databases. Algorithms Mol. Biol. Pedro Gabriel Ferreira, Paulo J. Azevedo
2007	B	`conf`	Iterative Reordering of Rules for Building Ensembles Without Relearning. Discovery Science Paulo J. Azevedo, Alípio Mário Jorge
2006	—	`conf`	Distribution Rules with Numeric Attributes of Interest. PKDD Alípio Mário Jorge, Paulo J. Azevedo, Fernando Pereira
2006	B	`conf`	Mining Approximate Motifs in Time Series. Discovery Science Pedro Gabriel Ferreira, Paulo J. Azevedo, Cândida G. Silva, Rui M. M. Brito
2006	—	`conf`	Query Driven Sequence Pattern Mining. SBBD Pedro Gabriel Ferreira, Paulo J. Azevedo
2006	B	`conf`	Visual Interactive Subgroup Discovery with Numerical Properties of Interest. Discovery Science Alípio Mário Jorge, Fernando Pereira, Paulo J. Azevedo
2005	—	`conf`	A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules. JISBD Pedro Gabriel Ferreira, Ronnie Alves, Paulo J. Azevedo, Orlando Belo
2005	B	`conf`	An Experiment with Association Rules and Classification: Post-Bagging and Conviction. Discovery Science Alípio Jorge, Paulo J. Azevedo
2005	—	`conf`	Detection of Hydrophobic Clusters in Molecular Dynamics Protein Unfolding Simulations Using Association Rules. ISBMDA Paulo J. Azevedo, Cândida G. Silva, R. J. Rodrigues, Nuno Loureiro-Ferreira, Rui M. M. Brito
2005	Misc	`conf`	Introduction. EPIA Rui Camacho, Alexessander Alves, Joaquim Pinto da Costa, Paulo J. Azevedo
2005	Misc	`conf`	Protein Sequence Classification Through Relevant Sequence Mining and Bayes Classifiers. EPIA Pedro Gabriel Ferreira, Paulo J. Azevedo
2005	—	`conf`	Protein Sequence Pattern Mining with Constraints. PKDD Pedro Gabriel Ferreira, Paulo J. Azevedo
2004	—	`conf`	Model-Based Collaborative Filtering for Team Building Support. ICEIS (2) Miguel Veloso, Alípio Jorge, Paulo J. Azevedo
2002	B	`conf`	Post-processing Operators for Browsing Large Sets of Association Rules. Discovery Science Alípio Jorge, João Poças, Paulo J. Azevedo