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2008
Mirkin, Boris and Nascimento, S. and Pereira, L.M. (2008) Representing a computer science research organization on the ACM computing classification system. Supplementary Proceedings of the 16th International Conference on Conceptual Structures 354 , pp. 57-65. ISSN 1613-0073.
2010
Mirkin, Boris and Fenner, Trevor and Nascimento, S. and Moniz Pereira, L. (2010) Building fuzzy thematic clusters and mapping them to higher ranks in a taxonomy. International Journal of Software and Informatics 4 (3), pp. 257-275. ISSN 1673-7288.
Mirkin, Boris and Nascimento, S. and Pereira, L.M. (2010) Cluster-lift method for mapping research activities over a concept tree. Studies in Computational Intelligence 263 , pp. 245-257. ISSN 1860-949X.
Mirkin, Boris and Nascimento, S. and Fenner, Trevor and Pereira, L.M. (2010) Constructing and mapping fuzzy thematic clusters to higher ranks in a taxonomy. In: Bi, Y. and Williams, M.A. (eds.) Knowledge Science, Engineering and Management. Lecture Notes in Computer Science 6291. Berlin, Germany: Springer Verlag, pp. 329-340. ISBN 9783642152801.
Mirkin, Boris and Nascimento, S. and Fenner, Trevor and Pereira, L.M. (2010) A hybrid cluster-lift method for the analysis of research activities. In: Romay, M. and GranaSebastian, M. and Garcia, T. (eds.) Hybrid Artificial Intelligence Systems. Lecture Notes in Artificial Intelligence 1 6076. Berlin, Germany: Springer Verlag, pp. 152-161. ISBN 9783642137693.
2011
Mirkin, Boris and Nascimento, S. (2011) Developing additive spectral approach to fuzzy clustering. In: Kuznetsov, S.O. and Ślęzak, D. and Hepting, D.H. and Mirkin, Boris (eds.) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Lecture Notes in Computer Science 6743. Berlin, Germany: Springer Verlag, pp. 273-277. ISBN 9783642218804.
Mirkin, Boris and Nascimento, S. and Fenner, Trevor and Felizardo, R. (2011) How to visualize a crisp or fuzzy topic set over a taxonomy. In: Kuznetsov, S.O. and Mandal, D.P. and Kundu, M.K. and Pal, S.K (eds.) Pattern Recognition and Machine Intelligence. Lecture Notes in Computer Science 6744 6744. Berlin, Germany: Springer Verlag, pp. 3-12. ISBN 9783642217869.
Nascimento, S. and Felizardo, R. and Mirkin, Boris (2011) Thematic fuzzy clusters with an additive spectral approach. In: Antunes, L. and Pinto, S.H. (eds.) Progress in Artificial Intelligence. Berlin, Germany: Springer Verlag, pp. 446-461. ISBN 9783642247682.
15 January 2012
Mirkin, Boris and Nascimento, S. (2012) Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices. Information Sciences 183 (1), pp. 16-34. ISSN 0020-0255.
2013
Nascimento, S. and Felizardo, R. and Mirkin, Boris (2013) Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach. Expert Systems , ISSN 0266-4720.
December 2015
Nascimento, S. and Casca, S. and Mirkin, Boris (2015) A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images. Computers & Geosciences 85 (B), pp. 74-85. ISSN 0098-3004.
2017
Nascimento, S. and Mirkin, Boris (2017) Applying anomalous cluster approach to spatial clustering. In: Kreinovich, V. (ed.) Uncertainty Modeling. Studies in Computational Intelligence 683. Springer, pp. 147-157. ISBN 9783319510514.
June 2023
Hayrapetyan, Z. and Mirkin, Boris and Nascimento, S. and Fenner, Trevor and Frolov, D. (2023) Modeling a most specific generalization in domain taxonomies. In: 17th Conference of the International Federation of Classification Societies (IFCS 2022), 19-23 July 2022, Porto, Portugal. (In Press)