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Identificação

Identificação pessoal

Nome completo
PAULO JORGE DE SOUSA AZEVEDO

Nomes de citação

  • AZEVEDO, PAULO

Identificadores de autor

Ciência ID
EB1D-CA33-4DA3
ORCID iD
0000-0002-0877-3070
Produções

Publicações

Artigo em conferência
  1. Gomes, EF; Jorge, AM; Azevedo, PJ. "Classifying heart sounds using SAX motifs, random forests and text mining techniques". 2014.
    10.1145/2628194.2628240
  2. de Sa, CR; Soares, C; Knobbe, A; Azevedo, P; Jorge, AM. "Multi-interval Discretization of Continuous Attributes for Label Ranking". 2013.
    10.1007/978-3-642-40897-7_11
  3. Ferreira, PG; Azevedo, PJ. "Evaluating protein motif significance measures: A case study on prosite patterns". 2007.
    10.1109/cidm.2007.368869
  4. Ferreira, PG; Azevedo, PJ. "Query Driven Sequence Pattern Mining". 2006.
  5. Camacho, R; Alves, A; da Costa, JP; Azevedo, P. "CMB'05: Workshop on Computational Methods in Bioinformatics". 2005.
    10.1109/epia.2005.341279
  6. Ferreira, PG; Alves, R; Azevedo, PJ; Belo, O. "A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules". 2005.
  7. Azevedo, PJdS; Montesi, D. "An Extended Magic Sets Strategy for a Rule Language with Updates and Transactions". 1995.
  8. Azevedo, PJdS; Sergot, MJ. "Recomputation-Free Lemmatization by Program Transformation". 1994.
Artigo em revista
  1. de Sa, CR; Duivesteijn, W; Azevedo, P; Jorge, AM; Soares, C; Knobbe, A. "Discovering a taste for the unusual: exceptional models for preference mining". MACHINE LEARNING (2018):
    10.1007/s10994-018-5743-z
  2. AZEVEDO, PAULO. "Preference rules for label ranking: Mining patterns in multi-target relations". Information Fusion (2018): https://doi.org/10.1016/j.inffus.2017.07.001.
    10.1016/j.inffus.2017.07.001
  3. AZEVEDO, PAULO. "Automatically estimating iSAX parameters". Intell. Data Anal. 19 3 (2015): 581-595. https://doi.org/10.3233/IDA-150733.
    10.3233/IDA-150733
  4. Castro, NC; Azevedo, PJ. "Automatically estimating iSAX parameters". INTELLIGENT DATA ANALYSIS (2015):
    10.3233/ida-150733
  5. AZEVEDO, PAULO. "Contrast set mining in temporal databases". Expert Systems (2015): https://doi.org/10.1111/exsy.12080.
    10.1111/exsy.12080
  6. Gomes, E.F.; Jorge, A.M.; Azevedo, P.J.. "Classifying heart sounds using multiresolution time series motifs: An exploratory study". ACM International Conference Proceeding Series (2013): 23-30. http://www.scopus.com/inward/record.url?eid=2-s2.0-84882771642&partnerID=MN8TOARS.
    10.1145/2494444.2494458
  7. Castro, N.C.; Azevedo, P.J.. "Significant motifs in time series". Statistical Analysis and Data Mining 5 1 (2012): 35-53. http://www.scopus.com/inward/record.url?eid=2-s2.0-84857169514&partnerID=MN8TOARS.
    10.1002/sam.11134
  8. Jorge, A.M.; Mendes-Moreira, J.; De Sousa, J.F.; Soares, C.; Azevedo, P.J.. "Finding interesting contexts for explaining deviations in bus trip duration using distribution rules". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7619 LNCS (2012): 139-149. http://www.scopus.com/inward/record.url?eid=2-s2.0-84868010720&partnerID=MN8TOARS.
    10.1007/978-3-642-34156-4_14
  9. Jorge, A.M.; Azevedo, P.J.. "Optimal leverage association rules with numerical interval conditions". Intelligent Data Analysis 16 1 (2012): 25-47. http://www.scopus.com/inward/record.url?eid=2-s2.0-84856860531&partnerID=MN8TOARS.
    10.3233/IDA-2011-0509
  10. Jorge, AM; Azevedo, PJ. "Optimal leverage association rules with numerical interval conditions". INTELLIGENT DATA ANALYSIS (2012):
    10.3233/ida-2011-0509
  11. Castro, N.; Azevedo, P.J.. "Time series motifs statistical significance". Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011 (2011): 687-698. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866018906&partnerID=MN8TOARS.
    10.1137/1.9781611972818.59
  12. De Sá, C.R.; Soares, C.; Jorge, A.M.; Azevedo, P.; Costa, J.. "Mining association rules for label ranking". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6635 LNAI PART 2 (2011): 432-443. http://www.scopus.com/inward/record.url?eid=2-s2.0-79957929921&partnerID=MN8TOARS.
    10.1007/978-3-642-20847-8-36
  13. Azevedo, P.J.. "Rules for contrast sets". Intelligent Data Analysis 14 6 (2010): 623-640. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650361161&partnerID=MN8TOARS.
    10.3233/IDA-2010-0444
  14. Castro, N.; Azevedo, P.. "Multiresolution motif discovery in time series". Proceedings of the 10th SIAM International Conference on Data Mining, SDM 2010 (2010): 665-676. http://www.scopus.com/inward/record.url?eid=2-s2.0-80155203953&partnerID=MN8TOARS.
    10.1137/1.9781611972801.73
  15. Azevedo, P.J.; Jorge, A.M.. "Ensembles of jittered association rule classifiers". Data Mining and Knowledge Discovery 21 1 (2010): 91-129. http://www.scopus.com/inward/record.url?eid=2-s2.0-77953811058&partnerID=MN8TOARS.
    10.1007/s10618-010-0173-y
  16. Azevedo, PJ. "Rules for contrast sets". INTELLIGENT DATA ANALYSIS (2010):
    10.3233/ida-2010-0444
  17. Ferreira, P.G.; Silva, C.G.; Azevedo, P.J.; Brito, R.M.M.. "Spatial clustering of molecular dynamics trajectories in protein unfolding simulations". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5488 LNBI (2009): 156-166. http://www.scopus.com/inward/record.url?eid=2-s2.0-70349322630&partnerID=MN8TOARS.
    10.1007/978-3-642-02504-4_14
  18. Jorge, A.; Poças, J.; Azevedo, P.J.. "A methodology for exploring association models". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4404 LNCS (2008): 46-59. http://www.scopus.com/inward/record.url?eid=2-s2.0-50249171235&partnerID=MN8TOARS.
    10.1007/978-3-540-71080-6_4
  19. Ferreira, P.G.; Azevedo, P.J.. "Evaluating deterministic motif significance measures in protein databases". Algorithms for Molecular Biology 2 1 (2007): http://www.scopus.com/inward/record.url?eid=2-s2.0-44449158817&partnerID=MN8TOARS.
    10.1186/1748-7188-2-16
  20. Ferreira, P.G.; Silva, C.G.; Brito, R.M.M.; Azevedo, P.J.. "A closer look on protein unfolding simulations through hierarchical clustering". 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB 2007 (2007): 461-468. http://www.scopus.com/inward/record.url?eid=2-s2.0-58149181357&partnerID=MN8TOARS.
  21. Azevedo, P.J.; Jorge, A.M.. "Comparing rule measures for predictive association rules". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4701 LNAI (2007): 510-517. http://www.scopus.com/inward/record.url?eid=2-s2.0-38049110563&partnerID=MN8TOARS.
    10.1007/978-3-540-74958-5_47
  22. Azevedo, P.J.; Jorge, A.M.. "Iterative reordering of rules for building ensembles without relearning". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4755 LNAI (2007): 56-67. http://www.scopus.com/inward/record.url?eid=2-s2.0-38149051571&partnerID=MN8TOARS.
    10.1007/978-3-540-75488-6_7
  23. Ferreira, P.G.; Azevedo, P.J.. "Evaluating protein motif significance measures: A case study on prosite patterns". Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 (2007): 171-178. http://www.scopus.com/inward/record.url?eid=2-s2.0-34548784572&partnerID=MN8TOARS.
    10.1109/CIDM.2007.368869
  24. Ferreira, P.G.; Azevedo, P.J.; Silva, C.G.; Brito, R.M.M.. "Mining approximate motifs in time series". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4265 LNAI (2006): 89-101. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750736111&partnerID=MN8TOARS.
    10.1007/11893318_12
  25. Jorge, A.M.; Pereira, F.; Azevedo, P.J.. "Visual interactive subgroup discovery with numerical properties of interest". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4265 LNAI (2006): 301-305. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750727738&partnerID=MN8TOARS.
    10.1007/11893318_31
  26. Jorge, A.M.; Azevedo, P.J.; Pereira, F.. "Distribution rules with numeric attributes of interest". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4213 LNAI (2006): 247-258. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750339325&partnerID=MN8TOARS.
    10.1007/11871637_26
  27. Camacho, R; Alves, A; da Costa, JP; Azevedo, P. "12th Portuguese Conference on Artificial Intelligence, EPIA 2005 Covilha, Portugal, December 5-8, 2005 - Introduction". PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS (2005):
  28. Azevedo, P.J.; Silva, C.G.; Rodrigues, J.R.; Loureiro-Ferreira, N.; Brito, R.M.M.. "Detection of hydrophobic clusters in molecular dynamics protein unfolding simulations using association rules". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3745 LNBI (2005): 329-337. http://www.scopus.com/inward/record.url?eid=2-s2.0-33745292575&partnerID=MN8TOARS.
    10.1007/11573067_33
  29. Jorge, A.M.; Azevedo, P.J.. "An experiment with association rules and classification: Post-bagging and conviction". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3735 LNAI (2005): 137-149. http://www.scopus.com/inward/record.url?eid=2-s2.0-33745317786&partnerID=MN8TOARS.
    10.1007/11563983_13
  30. Camacho, R.; Alves, A.; Da Costa, J.P.; Azevedo, P.. "Lecture Notes in Artificial Intelligence: Introduction". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3808 LNCS (2005): http://www.scopus.com/inward/record.url?eid=2-s2.0-33744818159&partnerID=MN8TOARS.
    10.1007/11595014_23
  31. Ferreira, P.G.; Azevedo, P.J.. "Protein sequence classification through relevant sequence mining and bayes classifiers". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3808 LNCS (2005): 236-244. http://www.scopus.com/inward/record.url?eid=2-s2.0-33744822458&partnerID=MN8TOARS.
    10.1007/11595014_24
  32. Ferreira, P.G.; Azevedo, P.J.. "Protein sequence pattern mining with constraints". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3721 LNAI (2005): 96-107. http://www.scopus.com/inward/record.url?eid=2-s2.0-33646410657&partnerID=MN8TOARS.
    10.1007/11564126_14
  33. Veloso, M.; Jorge, A.; Azevedo, P.J.. "Model-based collaborative filtering for team building support". ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems (2004): 241-248. http://www.scopus.com/inward/record.url?eid=2-s2.0-8444225767&partnerID=MN8TOARS.
  34. Jorge, A; Pocas, J; Azevedo, P. "Post-processing operators for browsing large sets of association rules". DISCOVERY SCIENCE, PROCEEDINGS (2002):
    10.1007/3-540-36182-0_43
  35. Azevedo, P.J.. "Magic sets with full sharing". Journal of Logic Programming 30 3 (1997): 222-237. http://www.scopus.com/inward/record.url?eid=2-s2.0-0031102949&partnerID=MN8TOARS.
    10.1016/s0743-1066(96)00119-7
Capítulo de livro
  1. Ferreira, PG; Azevedo, PJ. "Deterministic pattern mining on genetic sequences". 2009.
    10.4018/978-1-60566-766-9.ch013
  2. Silva, CG; Ferreira, PG; Azevedo, PJ; Brito, RMM. "Using data mining techniques to probe the role of hydrophobic residues in protein folding and unfolding simulations". 2009.
    10.4018/978-1-60566-816-1.ch012
  3. Ferreira, PG; Azevedo, PJ. "Deterministic Motif Mining in Protein Databases". 2009.
  4. Ferreira, PG; Azevedo, PJ. "Deterministic motif mining in protein databases". 2007.
    10.4018/978-1-59904-645-7.ch006