Maria Rifqi


Thèmes de recherche

Apprentissage automatique, data mining, affective computing, motifs graduels, similarité, typicalité, raisonnement approximatif



  • Xavier Renard, Maria Rifqi, Gabriel Fricout, Marcin Detyniecki. EAST representation: fast discovery of discriminant temporal patterns from time series ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2016, Riva Del Garda, Italy
  • X. Renard, M. Rifqi, W. Erray, M. Detyniecki. Random-shapelet: an algorithm for fast shapelet discovery. 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Oct 2015, Paris, France.

  • A. Laurent, M.-J. Lesot, M. Rifqi. Mining Emerging Gradual Patterns. IFSA-EUSFLAT 2015, Gijon, Spain
  • A. Oudni, M.-J. Lesot, M. Rifqi, R. Ballini. Analysis of the emission of American Depositary Receipts of Brazilian companies through the extraction of linguistic summaries. Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ'IEEE 2015), Istanbul, Turkey. ​
  • F. Dzogang, M.-J. Lesot and M. Rifqi : Apprentissage de concepts Ă©motionnels Ă  partir de descripteurs bas niveau, Revue d’intelligence artificielle, 28:1(131-157),  (2014)
  • J. Orero and M. Rifqi, “Typicality based fuzzy psychophysiological controller to assess user’s affective states”, Proceedings of IPMU 2014.
  • ​​​A. Oudni, M.-J. Lesot and M. Rifqi. “Accelerating Effect of Attribute Variations : Accelerated Gradual Itemsets Extraction”, Proceedings of IPMU 2014.​​
  • A. Oudni, M.‑J. Lesot, M. Rifqi : Characterisation of gradual itemsets through "especially if" clauses based on mathematical morphology tools, Proceedings of the Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013.​

  • A. Oudni, M.‑J. Lesot, M. Rifqi : “Processing Contradiction in Gradual Itemsets Extraction”, Proceedings of the 2013 IEEE International Conference on Fuzzy Systems, Hyderabad, India (2013)​
  • Ch. Marsala, M. Rifqi : “Summarizing Fuzzy Decision Forest by Subclass Discovery”, Proceedings of the 2013 IEEE International Conference on Fuzzy Systems, Hyderabad, India (2013)​
  • E. HĂĽllermeier, M. Rifqi, S. Henzgen, R. Senge : “Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures”, IEEE Transactions on Fuzzy Systems n°20, pp. 546-556 (2012)​
  • F. Dzogang, M.‑J. Lesot, M. Rifqi, B. Bouchon‑Meunier : “Early Fusion of Low Level Features for Emotion Mining”, Biomedical Informatics Insights, vol. 5, pp. 129-136 (2012)
  • F. Dzogang, Ch. Marsala, M.‑J. Lesot, M. Rifqi : “An ellipsoidal K-means algorithm for document clustering”, Proc. of the 12th IEEE Int. Conf. on Data Mining (ICDM'12), Brussels, Belgium, pp. 221-230 (2012)
  • A. Oudni, M.‑J. Lesot, M. Rifqi : “Gestion de la contradictiof danw L’extraction de motifs graduels”, Rencontres Francophones sur la Logique Floue et ses Applications, LFA'12 (2012)
  • M.‑J. Lesot, M. Rifqi : “DegrĂ©s d’équivalence de mesures de comparaison pour donnĂ©es binaires et pour donnĂ©es numĂ©riques”, Revue des Nouvelles Technologies de l'Information (RNTI) (2011)
  • Ch. Marsala, M. Rifqi : “Characterizing Forest of Fuzzy Decision Trees Errors”, Proceedings of the 4th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM'11), London, UK (2011)
  • M. Detyniecki, Ch. Marsala, M. Rifqi : “Double-linear fuzzy interpolation method”, IEEE International Conference on Fuzzy Systems, FUZZIEEE'2011, Taipei, ROC, pp. 455-462 (2011)