Algumas citações a nossos artigos e trabalhos. Agradecemos desde já caso possa contribuir com correções a esta lista, enviando informações para o e-mail jafcosta (at) gmail.com

 

Some citations of our papers. Please, E-mail (jafcosta (at) gmail.com) if you want a preprint version of some of these papers or if you have some information or suggestion. Thanks in advance.

 

 

      Referência                                                                         Citações da Referência

      Barbalho et al.                   Barbalho, J., Dória Neto, A.D., Costa, J.A.F. and Netto, M.L.A. (2001). Hierarchical SOM

      (2001)                                applied to Image Compression. In: Proc. of the Intl. Joint Conf. on Neural Networks (IEEE),

                                              Washington, DC, July 2001, pp. 442-447.

                                   Chung, Jun-Shih (2003). Fast constructing tree structured vector quantization for image compression.

                                   Master Degree Thesis. Dept. Electrical Engineering, National Sun Yat-sen University, Taiwan.

                                   Pavel Danchenko, Feodor Lifshits, Itzhak Orion, Sion Koren, Alan D. Solomon and Shlomo Mark (2007).

                                   NNIC—neural network image compressor for satellite positioning system. Acta Astronautica, Volume 60,

                                   Issues 8-9, April-May 2007, Pages 622-630.

                                   Diri, B. and Albayrak, S. (2006).  Color image compression using self organizing feature map. Proceedings

                                   of the 24th IASTED international conference on Artificial Intelligence and Applications, pp. 162 - 166.

                                   Fong, Chau Keng (2007). A Study in Deploying Self-Organized Map (SOM) in an Open Source J2EE Cluster

                                   and Caching System. in: CME 2007 - IEEE/ICME International Conference on Complex Medical

                                   Engineering, pp. 778-781.

                                   Hatami, S., Yazdanpanah, M.J. (2002). Shifted Frequency Sensitive Hierarchical SOM,  (SFS_HSOM) Applied

                                    to VQ. In: 4th Irano-Armenian Workshop on Neural Networks.

                                   Hatami, S., Yazdanpanah, M.J., Frozandeh, B. and Fatemi, O (2003). Shifted Frequency Sensitive

                                   Hierarchical SOM (SFS_HSOM), A Modified VQ with Neural Network. In: The Second Iranian Conference on

                                   Machine Vision, Image Processing & Applications K. N. Toosi University of Technology, Electrical

                                   Department, Tehran, Iran February 13-15, 2003 Vol. 2, PP 292 – 299.

                                   Hatami, S., Yazdanpanah, M.J., Frozandeh, B. and Fatemi, O. (2003). A Modified method for codebook

                                   design with Neural Network in VQ-based image compression. In: Proc. of the 2003 Intl. Symposium on

                                   Circuits and Systems, vol. 2, pp. 612-615.

                                   Hussain, M. and Eakins, J.P. (2007). Component-based visual clustering using the self-organizing map.

                                   Neural Networks, Volume 20, Issue 2, March 2007, Pages 260-273

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Shao, C. and Huang, H. (2006). New data visualization algorithm based on SOM. Jisuanji Yanjiu yu

                                   Fazhan/Computer Research and Development 43 (3), pp. 429-435.

                                   Cheng-Fa Tsai and Jiun-Huang Ju (2009). INTSOM: Gray Image Compression Using an Intelligent Self-

                                   Organizing Map. In: K. Nakamatsu et al. (Eds). New Advances in Intelligent Decision Technologies: Results

                                   of the First KES. Springer.

                                   Cheng-Fa Tsai and Jiun-Huang Ju (2009). LISA: Image Compression Scheme Based on an Asymmetric

                                   Hierarchical Self-Organizing Map. In: Lecture Notes in Computer Science, vol. 5553, pp. 476-485.

                                   Springer.

           Total de citações:  12                        Percentual da base:  8,45%

      Barbalho et al.                   Barbalho, J.M., Costa, J.A.F., Neto, A.D.D. and Netto, M.L.A. (2003). Hierarchical and dynamic

      (2003)                                SOM applied to image compression, Proceedings of the International Joint Conference on

                                              Neural Networks, 2003, Volume: 1, July 20 - 24, pp. 753-758.

                                   Shao, C., Huang, H. (2006). New data visualization algorithm based on SOM. Jisuanji Yanjiu yu

                                   Fazhan/Computer Research and Development 43 (3), pp. 429-435.

           Total de citações:  1                          Percentual da base:  0,70%

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 1 de 11


      Referência                                                                         Citações da Referência

      Costa (1996)                       Costa, J. A. F. (1996). Sistema de Reconhecimento de Padrões Visuais Invariante a

                                              Transformações Geométricas Utilizando Redes Neurais Artificiais de Múltiplas Camadas.

                                              Dissertação (Mestrado) – Escola de Engenharia de São Carlos, Universidade de São Paulo, 157

                                               pp., Janeiro.

                                   Mário Luiz Tronco, Aleardo Manacero Júnior and Arthur José Vieira Porto (2003). SISTEMA DE

                                   RECONHECIMENTO DE IMAGENS PARA ROBÔ DE MONTAGEM: IMPLEMENTAÇÃO E ESTUDO DE CASO. VI

                                   Simpósio Brasileiro de Automação Inteligente. Bauru, setembro de 2003.

                                   VALÉRIO NETTO, A. and Oliveira, M. C. F. (2002). Desenvolvimento de um Sistema para Reconhecimento e

                                   Análise de Imagens Oftalmológicas utilizando Redes Neurais e Combinação de Classificadores. In: 10a.

                                   Reunião Anual da SBPN (Sociedade Brasileira dos Pesquisadores Nikkeis), São Paulo. Proc. 10a. Reunião

                                   Anual da SBPN (Sociedade Brasileira dos Pesquisadores Nikkeis).

           Total de citações:  2                          Percentual da base:  1,41%

      Costa (1999)                       Costa, Jose Alfredo F. (1999). Classificação Automática e Análise de Dados por Redes Neurais

                                              Auto-Organizáveis (Data clustering using self-organizing maps, in Portuguese). Tese de

                                              Doutorado (D.Sc. Thesis). Faculdade de Engenharia Elétrica e de Computação,Unicamp

                                              (Universidade Estadual de Campinas), Campinas, SP, Brasil. December, 1999.

                                   Raquel Esperanza Patiño Escarcina (2009). Seleção sequencial de descritores por análise de semântica

                                   para recuperação de imagens baseada em conteúdo. 2009. Tese de Doutorado em Engenharia Elétrica.

                                   Universidade Federal do Rio Grande do Norte.

                                   Flavius da Luz e Gorgônio (2009). Uma Arquitetura para Análise de Agrupamentos sobre Bases de Dados

                                   Distribuídas Aplicada a Segmentação de Mercado. 2009. Tese de Doutorado em Engenharia Elétrica.

                                   Universidade Federal do Rio Grande do Norte.

                                   Kelson Rôomulo Teixeira Aires (2001). Desenvolvimento de um Sistema de Visão Global para uma Frota de

                                   Mini-Robôs Móveis.  Dissertação de Mestrado, PPgEE, UFRN, Natal/RN – Brasil.

                                   Aires, K.R.T., Alsina, P.J. and Medeiros, A.A.D. (2001). A global vision system for mobile mini-robots.

                                   Proceedings of XVI COBEM – Congresso Brasileiro de Engenharia Mecânica.

                                   Aires, K.R.T., Alsina, P.J. and Medeiros, A.A.D. (2001). A global vision system for mobile mini-robots. In:

                                   Anais do Simp. Bras. de Automacao Inteligente, SBAI 2001.

                                   Renato F. A. de Andrade (2008). Marketing de relacionamento em um provedor de internet: um estudo

                                   comparativo que considera a visão gerencial e a percepção dos clientes. Dissertação de mestrado em

                                   Administração (PPA), UFRN, Natal, RN, Brasil.

                                   José Marinho Barbalho (2002). Algoritmo SOM com estrutura hierárquica e dinâmica aplicado à

                                   compressão de imagens. Dissertação (Mestrado em Engenharia Elétrica) - PPgEE, Universidade Federal

                                   do Rio Grande do Norte, 120 f.

                                   Bassani, T., Christ R. E R. and Nievola, J. C. (2004). Avaliação de Agrupamento de Documentos Semelhantes

                                   usando uma Rede Auto-Organizável. IV Congresso Brasileiro de Computação – CBComp 2004, pp. 290-293.

                                   Valnaide Gomes Bittencourt (2005). Aplicação de técnicas de aprendizado de máquina no reconhecimento

                                   de classes estruturais de proteínas. Dissertação de Mestrado, PPgEE, UFRN, Natal/RN – Brasil.

                                   Celso Boscarioli (2008). Análise de Agrupamentos baseada na Topologia dos Dados e em Mapas Auto-

                                   organizáveis. Tese de Doutorado. Escola Politécnica da USP, SP.

                                   Ernesto Cuadros-Vargas (2004). Recuperação de Informação por Similaridade utilizando Técnicas

                                   Inteligentes.  Tese de Doutorado. Instituto de Ciências Matemáticas e de Computação, USP, São Carlos, SP.

                                   Valquíria Aparecida Rosa Duarte e Rita Maria da Silva Julia (2008). Uma proposta para resolver o problema

                                    de loop no LSDraughts e VisionDraughts: criação de um jogador de final de jogo. Workshop de

                                   Dissertações. Programa de Pós-Graduação em Ciência da Computação. Universidade Federal do

                                   Uberlândia (UFU), Uberlândia – MG – Brasil.

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 2 de 11


      Referência                                                                         Citações da Referência

                                   Márcio Leandro Gonçalves (2009). Métodos de Classificação Não-supervisionada de Imagens de

                                   Sensoriamento Remoto Usando Mapas Auto-organizáveis de Kohonen. Tese de Doutorado em Engenharia

                                   Elétrica, Universidade Estadual de Campinas (UNICAMP), SP, Brasil.

                                   Eduardo Frio Marins (2008). Redes Neurais: Utilização de Mapas Auto-Organizáveis na Classificação de

                                   Jogadores de Voleibol. Trabalho de Conclusão de Curso. UNIVERSIDADE FEDERAL DE PELOTAS, Instituto

                                   de Física e Matemática, Departamento de Informática. Pelotas, RS

                                   Allan de Medeiros Martins (2005). Contribuições aos Processos de Clustering com Base em Métricas não-

                                   Euclidianas.  Tese de Doutorado, PPgEE, Univ. Federal do Rio Grande do Norte, UFRN.

                                   Martins, A. M., Dória Neto, A. D., Melo, J. D. (2004). A neural network based algorithm for complex pattern

                                   classification problems. Learning and Nonlinear Models, Brasil, v. 1, n. 4, p. 255-263, 2004.

                                   Marcílio Castro de Matos (2004). Reconhecimento de Padrões Sísmicos Utilizando Análises Tempo-

                                   Freqüência.  Tese de Doutorado - PUC, Rio de Janeiro, RJ.

                                   Matos, M.C., Osório, P.L.M. and Johann, P.R.S. (2004). Agrupamento de mapas auto organizáveis de

                                   Kohonen aplicado a análise de fácies sísmicas. In: Anais do CBA 2004 (Congresso Brasileiro de Automática).

                                    Rio de Janeiro, RJ, 2004.

                                   Leonardo Freitas Noleto. Métodos de Segmentação de Mapas Auto-Organizáveis para Análise de

                                   Agrupamento. Departamento de Infomática e Estatística – Universidade Federal de Santa Catarina (UFSC)

                                   Florianópolis, SC – Brazil.

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Raul Benites Paradeda (2007). Pesos Estáticos e Dinâmicos em Sistemas Multi-Classificadores com

                                   Diferentes Níveis de Diversidade. Dissertação. Mestrado em Sistemas e Computação. Dissertação de

                                   Mestrado, PPgSC, UFRN, Natal/RN – Brasil.

                                   Sarajane Marques Peres (2006). Dimensão Topológica e Mapas Auto-Organizáveis de Kohonen. Tese de

                                   Doutorado em Engenharia Elétrica. Universidade Estadual de Campinas, UNICAMP, Brasil.

                                   Renato José Sassi (2006). Uma arquitetura híbrida para descoberta de conhecimento em bases de dados.

                                   Tese de Doutorado - Escola Politécnica – Universidade de São Paulo (POLI/USP).

                                   Leandro Nunes de Castro Silva (2001). Engenharia Imunológica: Desenvolvimento e Aplicação de

                                   Ferramentas Computacionais Inspiradas em Sistemas Imunológicos Artificiais. Tese de Doutorado em

                                   Engenharia Elétrica. Universidade Estadual de Campinas, UNICAMP, Brasil.

                                   Marcos Aurélio Santos da Silva (2004). Mapas auto-organizáveis na análise exploratória de dados

                                   geoespaciais multivariados. Dissertação de Mestrado, INPE, São José dos Campos, SP.

                                   Silva, M. A. S., Monteiro, A.M.V., Medeiros, J.S. (2003). Segmentação Semi-Automática de Dados

                                   Geoespaciais Multivariados com Mapas Auto-Organizáveis. In: Workshop dos Cursos de Computação

                                   Aplicada do INPE, 2003, São José dos Campos. Workshop dos Cursos de Computação Aplicada do INPE,

                                   2003.

                                   SILVA, M. A. S., MONTEIRO, A. M. V., MEDEIROS, J. S. (2004). Semi-Automatic Geospatial Data Clustering

                                   by Self-Organizing Maps. In: Brazilian Symposium on Artificial Neural Networks (SBRN), 2004, São Luís, MA.

                                   Heliana Bezerra Soares (2001). Detecção e classificação automática de anomalias em mamogramas

                                   digitais.  Dissertação de Mestrado, PPgEE, UFRN, Natal/RN – Brasil.

                                   Allan Aminadab André Freire Soares (2005). Desenvolvimento de Esquema de Controle Com

                                   Realimentação  Visual Para um Robô Manipulador. Dissertação de Mestrado, PPgEE, UFRN, Natal/RN –

                                   Brasil.

                                   Soares, A.A.F., Alsina, P.J. and Medeiros, A.A.D. (2001). Desenvolvimento de esquema de controle com

                                   realimentação visual para um robô manipulador. In: Proc. SBAI 2001 - Simp. Bras. de Automação

                                   Inteligente.

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 3 de 11


      Referência                                                                         Citações da Referência

                                   Marcos Neves do Vale (2005). Agrupamentos de Dados: Avaliação de Métodos e Desenvolvimento de

                                   Aplicativo para Análise de Grupos. Dissertação de Mestrado. Programa de Pós-Graduação em Engenharia

                                   Elétrica da PUC, Rio de Janeiro, Brasil.

                                   Von Zuben, F. J. - Modelos e Aplicações de Redes Neurais Artificiais (Parte III). Material do curso (notas de

                                   aula). EA072, 2º semestre, 2008. Faculdade de Engenharia Elétrica e de Computação, Unicamp. Acesso:

                                   ftp://ftp.dca.fee.unicamp.br/pub/.../topico1.2_08_ParteIII.pdf

                                   Von Zuben, F. J. - Rede Neural de Kohonen e Aprendizado Não-Supervisionado. Material do curso (notas de

                                   aula). EA353. Faculdade de Engenharia Elétrica e de Computação, Unicamp. Acesso:

                                   ftp://ftp.dca.fee.unicamp.br/pub/docs/vonzuben/ia353_03/topico10_03.pdf

                                   Márcio Henrique Zuchini (2003). Aplicações de mapas auto-organizáveis em mineração de dados e

                                   recuperação de informação. Dissertação de Mestrado. Faculdade de Engenharia Elétrica e de

                                   Computação (FEEC), Universidade Estadual de Campinas (UNICAMP), SP, Brasil.

           Total de citações:  34                        Percentual da base:  23,94%

      Costa and Netto                 Costa, J.A.F., & Netto, M.L.A. (1999a). Estimating the Number of Clusters in Multivariate Data

      (1999a)                              by Self-Organizing Maps. International Journal of Neural Systems, Vol. 9, No. 3, pp. 195-202.

                                   Eum, J.H., Seo, Y.R., Yoe, S.M., Kang, S.W. and Han, S.S. (2007). Analysis of the immune-inducible genes

                                   of Plutella xylostella using expressed sequence tags and cDNA microarray. Developmental & Comparative

                                   Immunology, Volume 31, Issue 11, 2007, Pages 1107-1120

                                   Lee, M.-L. and Schneider, G. (2001). Scaffold architecture and pharmacophoric properties of natural

                                   products and trade drugs: Application in the design of natural product-based combinatorial

                                   libraries. Journal of Combinatorial Chemistry 3 (3), pp. 284-289.

                                   Mascarenhas, D. (2007). System and method for using psychological significance pattern information for

                                   matching with target information. Patent Application Publication GO) Pub. NO.: US 2007/0033084 Al

                                   Mascarenhas (43) Pub. Date: Feb. 8,2007. US 20070033084A1, United States.

                                   Michelson, S. and Joho, K. (2000). Drug discovery, drug development and the emerging world of

                                   pharmacogenomics: Prospecting for information in a data-rich landscape. Current Opinion in Molecular

                                   Therapeutics 2 (6), pp. 651-654 .

                                   Murty, U.S.N., Banerjee, A.K., Arora, N. (2009). Application of Kohonen maps for solving the classification

                                   puzzle in AGC kinase protein sequences. Journal Interdisciplinary Sciences: Computational Life Sciences,

                                   vol. 1, pp. 173-178.

                                   Nazareth, D.L., Soofi, E.S. and Zhao, H. (2007). Visualizing Attribute Interdependencies Using Mutual

                                   Information, Hierarchical Clustering, Multidimensional Scaling, and Self-organizing Maps. System

                                   Sciences (HICSS 2007 -40th Annual Hawaii International Conference). Jan. 2007, pp. 53 - 53. 

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Sommer, D. and Golz, M. (2002). Detection of Wake-Sleep Transitions with Prototype Vector-Based Neural

                                   Networks. International Journal of Knowledge-Based Intelligent Engineering Systems, Volume 6 Number 3,

                                   pp. 129-136.

                                   Zhang, H. and Albin, S. (2007). Determining the number of operational modes in baseline multivariate SPC

                                   data. IIE Transactions, Volume 39, Issue 12 December 2007 , pages 1103 -1110. DOI:

                                   10.1080/07408170701291787.

                                   Zhao, H. and Ram, S. (2004). Clustering Schema Elements for Semantic Integration of Heterogeneous Data

                                   Sources. Journal of Database Management, 15(4), 88-106, Oct-Dec 2004.

                                   Zhao, H. and Ram, S. (2006). Clustering Similar Schema Elements Across Heterogeneous Databases: A First

                                   Step in Database Integration. In: Keng Siau (Ed.), Advanced Topics in Database Research: Volume 5, IDEA

                                   Group, Harshey, USA.

                                   Zhao, H. and Ram, S. (2007). Combining schema and instance information for integrating heterogeneous

                                   data sources. Data and Knowledge Engineering 61 (2), pp. 281-303.

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 4 de 11


      Referência                                                                         Citações da Referência

           Total de citações:  12                        Percentual da base:  8,45%

      Costa and Netto                 Costa, J.A.F., & Netto, M. L. A. (1999b). Cluster Analysis Using Self-Organizing Maps and

      (1999b)                              Image Processing Techniques. IEEE SMC'99 Conference Proceedings. 1999 IEEE International

                                              Conference on Systems, Man, and Cybernetics, vol. 5, pp. 367-372, Tokyo, Japan.

                                   Daniel Holtmann-Rice (2006). Cluster Analysis with Dynamically Restructuring Self-Organizing Maps.

                                   Neural Network Theory and Applications 2006, TR-1376 (Yale/DCS), University of Yale, USA.

                                   Masugi Masao (2006). A Two-Dimensional Clustering Approach to the Analysis of Audible Noises Induced at

                                   Telephone Terminals. IEICE Transactions on Communications (Institute of Electronics, Information and

                                   Communication Engineers), Vol. E89-B, issue: 5, pp. 1662-1671.

                                   Marcílio Castro de Matos, Paulo Léo Manassi Osorio, and Paulo Roberto Schroeder Johann (2007).

                                   Unsupervised seismic facies analysis using wavelet transform and self-organizing maps. Geophysics 72,

                                   pp. 9-21.

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Tonny J. Oyana, Deepthi Boppidi, Jun Yan, and Jamson S. Lwebuga-Mukasa (2005). Exploration of

                                   geographic information systems (GIS)-based medical databases with self-organizing maps (SOM): A case

                                   study of adult asthma. In Proceedings of the 8th International Conference on GeoComputation, August

                                   1st–3rd, 2005, Ann Arbor, University of Michigan.

                                   Kurt Samuelson et al. (2004). Enhanced document retrieval - US Patent 7289985. Link

                                   http://www.patentstorm.us/patents/7289985.html

                                   Marcos Aurélio Santos da Silva (2004). Mapas auto-organizáveis na análise exploratória de dados

                                   geoespaciais multivariados. Dissertação de Mestrado, INPE, São José dos Campos, SP.

                                   Sommer, D. and Golz, M. (2001). Clustering of EEG-Segments Using Hierarchical Agglomerative Methods

                                   and Self-Organizing Maps, Proc Int Conf Artificial Neural Networks (ICANN2001), 642-649; Vienna, Austria

                                   (LNCS 2130, ISBN 3-540-42486-5).

                                   Sommer, D., Golz, M. and Tutschel, U. (2000). U-Matrix-Auswertung von Selbstorganisierenden

                                   Merkmalskarten für die Clusterung von EEG-Segmenten; Proc Workshop Selbstorganisation von adaptivem

                                    Verhalten (SOAVE2000), VDI-Series 10 No. 643, 106-112; Ilmenau (ISBN 3-18-364310-X)

                                   Sommer, D., Golz, M., Trutschel, U., Ramsthaler, C. and Moore-Ede, M. (2001). Characterization of the

                                   Electroencephalogram of Microsleeps using Self-Organized Feature Maps, Proc Int Conf Comput Intell

                                   Meth Applic (CIMA2001), 123-129; Bangor, U.K.

                                   Zeng, H.-J. et al. (2004). US Patent 7428529 - Term suggestion for multi-sense query (23 Sept. 2008). Link

                                   http://www.patentstorm.us/patents/7428529.html

           Total de citações:  11                        Percentual da base:  7,75%

      Costa and Netto                 Costa, J.A.F., & Netto, M. L. A. (1999c). Automatic Data Classification by a Hierarchy of Self-

      (1999c)                              Organizing Maps. IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference

                                              on Systems, Man, and Cybernetics, vol. 5, pp. 419-24, Tokyo, Japan.

                                   Castro, L.N. and Timmis, J. (2002). Hierarchy and convergence of immune networks: Basic ideas and

                                   preliminary results. In: Proc. 1st ICARIS, 2002. Link

                                   http://www.cems.uwe.ac.uk/~xzhang/References/PDF/ICARIS2002/paper26.pdf

                                   Tianbai Qian, Minglu Li, "Multispectral MR Images Segmentation Using SOM Network," Computer and

                                   Information Technology, International Conference on, pp. 155-158, Fourth International Conference on

                                   Computer and Information Technology (CIT'04), 2004.

                                   Sommer, D., Golz, M., Trutschel, U., Ramsthaler, C. and Moore-Ede, M. (2001). Characterization of the

                                   Electroencephalogram of Microsleeps using Self-Organized Feature Maps, Proc Int Conf Comput Intell

                                   Meth Applic (CIMA2001), 123-129; Bangor, U.K.

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 5 de 11


      Referência                                                                         Citações da Referência

           Total de citações:  3                          Percentual da base:  2,11%

      Costa and Netto                 Costa, J.A.F. & Netto, M. L. A. (2001). Clustering of complex shaped data sets via Kohonen

      (2001a)                              maps and mathematical morphology. In: Proceedings of the SPIE, Data Mining and Knowledge

                                               Discovery. B. Dasarathy (Ed.), Vol. 4384, pp. 16-27, 2001.

                                   Drewry, D.T., Gu, L., Hocking, A.B., Kang, K.-D., Schutt III, R.C., Taylor, C.M. and Pfaltz, J.L. (2002).

                                   Current State of Data Mining. Tech. Report CS-2002-15. Dept.of Computer Science. Univ. of Virginia, USA.

                                   LUO Hui-Lan KONG Fan-Sheng YANG Xiao-Bing LIU Bi-Hong  (2006). Cluster analysis based on Mathematical

                                   Morphology. In: Pattern Recognition and Artificial Intelligence, vol. 19(6).

                                   Allan de Medeiros Martins, Adrião Duarte Dória Neto, Jorge Dantas de Melo (2003). A neural network based

                                    algorithm for complex pattern classification problems. Learning and Non Linear Models

                                   Maurer, H. (2009). Die Architekturtypen des 'Self-Organizing (Feature) Map (SO(F)M)' nach Teuvo Kohonen.

                                   BoD-Verlag. Norderstedt. 2009

                                   Maurer, H., Bogdan, M. and Rosenstiel, W. (2009). Architecture Types of T. Kohonen's Self-Organizing

                                   Feature Map (SO(F)M)" (eingereicht 2009 bei der Zeitschrift "Neural Computing & Applications")

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Marcos Aurélio Santos da Silva (2004). Mapas auto-organizáveis na análise exploratória de dados

                                   geoespaciais multivariados. Dissertação de Mestrado, INPE, São José dos Campos, SP.

                                   Leandro N. de Castro Silva and Jonathan Timmis (2002). Artificial immune systems: a new computational

                                   intelligence approach. Springer: Berlin.

                                   Silva, L. N. C. and Timmis, J. I. (2002). Hierarchy and Convergence of Immune Networks: Basic Ideas and

                                   Preliminary Results. In: I International Conference on Artificial Immune Systems, 2002, Canterbury, Kent.

                                   Proceedings do ICARIS 2002. Canterbury: UKC, 2002. v. 1. p. 231-240.

           Total de citações:  9                          Percentual da base:  6,34%

      Costa and Netto                 Costa, J.A.F. and Netto, M.L.A. (2001), A new tree-structured self-organizing map for data

      (2001b)                              analysis. In: Proc. of the Intl. Joint Conf. on Neural Networks (IEEE), Washington, DC, July 2001,

                                               pp. 1931-1936.

                                   Ernesto Cuadros-Vargas (2004). Recuperação de Informação por Similaridade utilizando Técnicas

                                   Inteligentes.  Tese de Doutorado. Instituto de Ciências Matemáticas e de Computação, USP, São Carlos, SP.

                                   Cuadros-Vargas, E. and Romero, R. A. F. (2002). A SAM-SOM family: Incorporating spatial access methods

                                   into constructive self-organizing maps. In: Proceedings of the International Joint Conference on Neural

                                   Networks 2002, pp. 1172-1177.

                                   Jin, Hui-Dong, Shum, Wing-Ho, Leung, Kwong-Sak and Wong, Man-Leung (2004). Expanding Self-

                                   organizing Map for Data Visualization and Cluster Analysis. Information Sciences: an International Journal.

                                   Volume 163, Issue 1-3 (June 2004). Special issue: Soft computing data mining. Pages: 157 – 173. ISSN:0020-

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Qian, T. and Li, M. (2004). Multispectral MR images segmentation using SOM network - Computer and

                                   Information Technology, 2004. CIT '04. The Fourth International Conference on. Page(s): 155- 158. ISBN: 0-

                                   7695-2216-5. Digital Object Identifier: 10.1109/CIT.2004.1357189.

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 6 de 11


      Referência                                                                         Citações da Referência

                                   Sagheer, A., Tsuruta, N., Taniguchi, R.-I., Arita, D., Maeda, S. (2006). Fast competition approach using self

                                   organizing map for lip-reading applications. IEEE International Conference on Neural Networks -

                                   Conference Proceedings, art. no. 1716618, pp. 3775-3782

                                   Shum, W., Jin, H., Leung, K., and Wong, M. (2002). A Self-Organizing Map with Expanding Force for Data

                                   Clustering and Visualization. In Proceedings of the 2002 IEEE international Conference on Data Mining

                                   (ICDM'02) (December 09 - 12, 2002). ICDM. IEEE Computer Society, Washington, DC, 434.

                                   Trepess, D.W. and Thorpe, J.R. (2004). Information storage and retrieval. European Patent EP20030256172.

                                   Link http://www.freepatentsonline.com/EP1426882.pdf

           Total de citações:  8                          Percentual da base:  5,63%

      Costa and Netto                 Costa, J.A.F., e Netto, M.L.A. (2003). Segmentação do SOM Baseada em Particionamento de

      (2003)                                Grafos. Anais do VI Congresso Brasileiro de Redes Neurais, São Paulo, Junho de 2003, pp. 451-

                                              456.

                                   Celso Boscarioli (2008). Análise de Agrupamentos baseada na Topologia dos Dados e em Mapas Auto-

                                   organizáveis. Tese de Doutorado. Escola Politécnica da USP, SP.

                                   Carlos Jr., Aldo (2005). Um estudo sobre redes SOM e mapeamento de Sammon para descoberta de

                                   conhecimento em uma base de dados acadêmica da ULBRA Gravataí. Julho de 2005.

                                   Gonçalves, M.L. and Netto, M.L.A. (2005). Uma abordagem para Análise de Agrupamentos baseada em

                                   Mapas de Kohonen segmentados por Morfologia Matemática e Índices de Validação. Tech. Report. 02/05,

                                   DCA-FEE-UNICAMP, Campinas, SP.

                                   Silva, M. A. S., Monteiro, A.M.V., Medeiros, J.S. (2003). Segmentação Semi-Automática de Dados

                                   Geoespaciais Multivariados com Mapas Auto-Organizáveis. In: Workshop dos Cursos de Computação

                                   Aplicada do INPE, 2003, São José dos Campos. Workshop dos Cursos de Computação Aplicada do INPE,

                                   2003.

                                   Marcos Aurélio Santos da Silva (2004). Mapas auto-organizáveis na análise exploratória de dados

                                   geoespaciais multivariados. Dissertação de Mestrado, INPE, São José dos Campos, SP.

                                   Silva, M. A. S. (2004). Neurocomputação e SIG no suporte ao planejamento urbano. In: II Simpósio Regional

                                   de Geoprocessamento e Sensoriamento Remoto, 2004, Aracaju. Simpósio Regional de Geoprocessamento e

                                   Sensoriamento Remoto. Aracaju : Embrapa Tabuleiros Costeiros.

                                   Silva, M. A. S., Monteiro, A.M.V., Medeiros, J.S. (2004). Semi-Automatic Geospatial Data Clustering by Self-

                                   Organizing Maps. In: Brazilian Symposium on Artificial Neural Networks (SBRN), 2004, São Luís.

                                   Márcio Henrique Zuchini (2003). Aplicações de mapas auto-organizáveis em mineração de dados e

                                   recuperação de informação. Dissertação de Mestrado. Faculdade de Engenharia Elétrica e de

                                   Computação (FEEC), Universidade Estadual de Campinas (UNICAMP), SP, Brasil.

           Total de citações:  8                          Percentual da base:  5,63%

      Costa and Netto                 Costa, J.A.F. e Netto, M.L.A. (2007). Segmentação de Mapas Auto-Organizáveis com Espaço de

      (2007)                                Saída 3-D. Controle & Automação - Ed. Especial Automação Inteligente. Vol.18 no.2, 2007, pp.

                                              150-162.

                                   Silva, Leandro Augusto (2009). Categorização de imagens médicas baseada em transformada wavelet e

                                   mapas auto-organizáveis.  Tese de Doutorado. Escola Politécnica da USP,  São Paulo, SP, Brasil, 111 pp.

           Total de citações:  1                          Percentual da base:  0,70%

      Costa and                         Costa, J.A.F. and Oliveira, R.S. (2007). Cluster Analysis using Growing Neural Gas and Graph

      Oliveira (2007)                   Partitioning. In: Intl. Joint Conf. on Neural Networks, IJCNN 2007, Orlando, USA, August, 2007

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 7 de 11


      Referência                                                                         Citações da Referência

                                   Rizzo, R. and Urso, A. (2009). Identifying Clusters Using Growing Neural Gas: First Results. In: Proc. of

                                   ICANN 2009 (Intl. Conf. on Artificial Neural Networks), Springer LNCS, vol. 5768, pp. 536-545.

           Total de citações:  1                          Percentual da base:  0,70%

      Costa e Gonzaga               Costa, J. A. F., e Gonzaga, A. (1996). “A System for Invariant Visual Pattern Recognition Using

      (1996a)                              Multilayer Feedforward Neural Networks”. In: Proceedings of the 7th International Conference

                                              on Signal Processing, Applications & Technology (ICSPAT’96), vol. 2, pp. 1148-1152, Boston,

                                              MA, USA: Miller Freeman. October 7-10.

                                   Mazzeo, P.L., Nitti, M., Stella, E. and Distante, A. (2004). Visual recognition of fastening bolts for railroad

                                   maintenance. Pattern Recognition Letters, vol. 25, pp. 669–677.

                                   Mazzeo, P.L., Stella, E., Nitti, M. and Distante, A. (2005). Visual Recognition of fastening bolt in Railway

                                   maintenance context by using wavelet Transform  (ICGST International Journal on Graphics, Vision and

                                   Image Processing- Special Issue on wavelets, 2005, pp. 27-34 May SI 1)

           Total de citações:  2                          Percentual da base:  1,41%

      Costa et al. (1997a)             Costa, J. A. F., Mascarenhas, N. D. A., & Netto, M. L. A. (1997). Cell nuclei segmentation in noisy

                                               images using morphological watersheds. In: Applications of Digital Image Processing XX,

                                              Andrew G. Tescher (Ed.). Proceedings of the SPIE, vol. 3164, pp. 314-324.

                                   Begelman, G., Gur, E., Rivlin, E., Rudzsky, M., Zalevsky, Z. (2004). Cell nuclei segmentation using fuzzy

                                   logic engine. Proceedings - International Conference on Image Processing, ICIP 2, pp. 2937-2940.

                                   Cloppet, F., Boucher, A. (2008). Segmentation of overlapping/aggregating nuclei cells in biological

                                   images. 19th International Conference on Pattern Recognition, ICPR 2008.

                                   Hunter, D. A., Moradzadeh, A., Whitlock, E.L., Brenner, M.J., Myckatyn, T.M., Wei, C.H., Tung, T.H.H. and

                                   Mackinnon, S.E. (2007). Binary imaging analysis for comprehensive quantitative histomorphometry of

                                   peripheral nerve  Journal of Neuroscience Methods. Volume 166, Issue 1, 15 October 2007, Pages 116-124

                                   Nedzved, A., Belotserkovsky, A., Lehmann, T.M., Ablameyko, S.  (2007). Morphometrical feature extraction

                                   on color histological images for oncological diagnostics. Proceedings of the 5th IASTED International

                                   Conference on Biomedical Engineering, BioMED 2007, pp. 379-384.

                                   Plissiti, M.E., Tripoliti, E.E., Charchanti, A., Krikoni, O. and Fotiadis, D.I. (2009). Automated Detection of

                                   Cell Nuclei in PAP stained cervical smear images using Fuzzy Clustering. In: J. Vander Sloten, P. Verdonck,

                                   M. Nyssen, J. Haueisen (Eds.): ECIFMBE 2008, IFMBE Proceedings 22, pp. 637–641, 2008. Springer-Verlag

                                   Berlin Heidelberg, 2009.

                                   Richerson, S.J., Condurache, A. P., Lohmeyer, J.A. Schultz, K. and Ganske, P. (2008). An Initial Approach to

                                   Segmentation and Analysis of Nerve Cells using Ridge Detection. SSIAI - 2008 IEEE Southwest Symposium

                                   on Image Analysis and Interpretation, 2008, pp.113-116.

                                   Schmitt, O. and Hasse, M. (2008). Radial symmetries based decomposition of cell clusters in binary and

                                   gray level images. Pattern Recognition, Volume 41, Issue 6 (June 2008), 1905-1923.

                                   Schmitt, O. and Hasse, M. (2009). Morphological multiscale decomposition of connected regions with

                                   emphasis on cell clusters. Computer Vision and Image Understanding 113 (2), pp. 188-201.

                                   Schmitt, O. and Reetz, S. (2009). On the decomposition of cell clusters. Journal of Mathematical Imaging and

                                    Vision 33 (1), pp. 85-103.

                                   Wang, Y.-Y., Sun, Y.-N., Lin, C.-C.K., Ju, M.-S. (2006). Nerve cell segmentation via multi-scale gradient

                                   watershed hierarchies. Annual International Conference of the IEEE Engineering in Medicine and Biology -

                                   Proceedings, art. no. 4030635, pp. 6698-6701

                                   Wang, Y.-Y., Sun, Y.-N., Lin, C.-C.K., Ju, M.-S. (2006). Nerve cell segmentation via multi-scale gradient

                                   watershed hierarchies. Annual International Conference of the IEEE Engineering in Medicine and Biology -

                                   Proceedings, art. no. 4030635, pp. 4310-4313

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 8 de 11


      Referência                                                                         Citações da Referência

           Total de citações:  11                        Percentual da base:  7,75%

      Gonçalves et al.                Goncalves, M., Netto, M., Costa, J.A.F., and Zullo, J. (2006). Data Clustering using Self-

      (2006)                                Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity

                                              Indexes: an application in remotely sensed image. In: 2006 IEEE International Joint

                                              Conference on Neural Networks, Vancouver, BC, Canada. 16-21 July 2006 Page(s):4421 – 4428.

                                   Olesen, J.R., Cordero H., J. and Zeng, Y. (2009). Auto-clustering using particle swarm optimization and

                                   bacterial foraging. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial

                                   Intelligence and Lecture Notes in Bioinformatics) 5680 LNAI, pp. 69-83.

                                   Wendel, J., Buttenfield, B. and Smith, J. (2009). Spatialization of a gis software toolbox | [Spatialization

                                   einer gis software toolbox]. Kartographische Nachrichten, 59 (5), pp. 257-264.

           Total de citações:  2                          Percentual da base:  1,41%

      Gonçalves et al.                Goncalves, M., Netto, M., Zullo, J. and Costa, J.A.F. (2008). Classificação não-supervisionada

      (2008b)                             de imagens de sensores remotos utilizando redes neurais auto-organizáveis e métodos de

                                              agrupamentos hierárquicos. Revista Brasileira de Cartografia (RBC), volume 60/1 (abril de

                                              2008), pp. 17-29.

                                   Costa, A.P.R. and Candeias, A.L.B. (2009). Método de classificação não supervisionada por empilhamento

                                   no espaço de atributos. Anais XIV Simpósio Brasileiro de Sensoriamento Remoto, Natal, Brasil, 25-30 abril

                                   2009, INPE, p. 6845-6852.

                                   Freitas, R.M., Adami, M., Rudorff, B.F.T., Shimabukuro, Y.E., Rosa, R.R., Silva, J.D.S. and Arcoverde, J.F.B.

                                   (2009). Análise exploratória de dados multitemporais de sensoriamento remoto usando mapas auto-

                                   organizáveis: estudo em áreas de expansão da cana-de-açúcar. Anais XIV Simpósio Brasileiro de

                                   Sensoriamento Remoto, Natal, Brasil, 25-30 abril 2009, INPE, p. 7797-7804.

           Total de citações:  2                          Percentual da base:  1,41%

      Gonçalves et al.                Goncalves, M., Netto, M., Zullo, J. and Costa, J.A.F. (2008). A new method for unsupervised

      (2008c)                             classification of remotely sensed images using Kohonen self-organizing maps and

                                              agglomerative hierarchical clustering methods. In: Intl. Journal of Remote Sensing, Vol. 29,

                                              Issue 11, June 2008, pp. 3171 - 3207.

                                   Bedini, E. (2009). Mapping lithology of the Sarfartoq carbonatite complex, southern West Greenland, using

                                   HyMap imaging spectrometer data. Remote Sensing of Environment 113 (6), pp. 1208-1219.

                                   Çeşmeci, D., Güllü, M.K. (2009). Phase-correlation-based hyperspectral image classification using

                                   multiple class representatives obtained with k-means clustering. International Journal of Remote Sensing 30

                                    (14), pp. 3827-3834.

           Total de citações:  2                          Percentual da base:  1,41%

      Patiño-Escarcina               Patiño-Escarcina, R.P. and Costa, J. A. F. (2008). The Semantic Clustering of Images and its

      and Costa (2008)                Relation with Low Level Color Features. The second IEEE International Conference on Semantic

                                               Computing (ICSC2008), Santa Clara, CA, USA - August 4-7, 2008.

                                   Liu, Ying, Chen, Xin, Zhang, Chengcui and Sprague, Alan (2009). Semantic clustering for region-based

                                   image retrieval. Journal of Visual Communication and Image Representation, Volume 20, Issue 2, February

                                   2009, Pages 157-166.

           Total de citações:  1                          Percentual da base:  0,70%

      Vieira et al. (2003)              Vieira, F.C., Dória Neto, A.D., Costa, J.A.F. (2003). An Efficient Approach to the Travelling

                                              Salesman Problem Using Self-Organizing Maps. International Journal of Neural Systems, Vol.

                                              13, No. 2, 59-66.

                                   Araújo, S. A., Monteiro, L. H. A. and Oliveira, G. M. B. (2004). Testando a Capacidade de Organização da

                                   Rede de Kohonen na Classificação de Perfis Profissiográficos. In: IV Congresso Brasileiro de Computação

                                   CBComp 2004, pp. 271-274.

  quinta-feira, 24 de dezembro de 2009                                                                                                                      Página 9 de 11


      Referência                                                                         Citações da Referência

                                   Bai, Y., Zhang, W. and Jin, Z. (2006). An new self-organizing maps strategy for solving the traveling

                                   salesman problem. Chaos, Solitons & Fractals, Volume 28, Issue 4, May 2006, Pages 1082-1089.

                                   Jiu-Sheng Chen; Xiao-Yu Zhang; Jing-Jie Chen (2007). An elastic net method for solving the traveling

                                   salesman problem. In: Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International

                                   Conference on, Volume 2, Nov. 2007 Page(s):608 - 612.

                                   Jean-Charles Créput and Abderrafiãa Koukam (2009). A memetic neural network for the Euclidean

                                   traveling salesman problem. Neurocomputing, Volume 72, Issues 4-6, January 2009, Pages 1250-1264.

                                   Créput, J.-C., Koukam, A. and Hajjam, A. (2007). Self-Organizing Maps in Evolutionary Approach meant for

                                   Dimensioning Routes to the Demand. Proceedings of world academy of science, engineering and

                                   technology. Volume 21, MAY 2007, ISSN: 1307-6884. PP. 444-451.

                                   Cruz Fonseca, M. A.; Matos, L. N.; Silva, M. A. S. (2006). Descobrindo rotas geográficas sub-ótimas. Anais –

                                   III Simpósio Regional de Geoprocessamento e Sensoriamento Remoto. Aracaju/SE, 25 a 27 de outubro de

                                   2006.

                                   Shangce Gao, Wei Wang, Hongwei Dai, Fangjia Li and Zheng Tang (2008). Improved Clonal Selection

                                   Algorithm Combined with Ant Colony Optimization. IEICE - Transactions on Information and Systems,

                                   Volume E91-D,  Issue 6  (June 2008), Pages 1813-1823.

                                   García, C. and Moreno, J.A. (2005). An Efficient Heuristic for the Traveling Salesman Problem Based on a

                                   Growing SOM-like Algorithm. Adaptive and Natural Computing Algorithms. Springer - Vienna, pp. 177-180.

                                   J Manning, MJ Kahana, R Sekuler (2006). An Ideal Navigator Model of Human Wayfinding: Learning One's

                                   Way Around a New Town.

                                   Siqueira, Paulo Henrique (2005). Uma Nova Abordagem Na Resolução Do Problema do Caixeiro Viajante.

                                   Doutorado em Ciências (D.Sc. Thesis) - Programa de Pós-Graduação em Métodos Numéricos em

                                   Engenharia – Programação Matemática. Universidade Federal do Paraná. Orientadores: Prof. Dr. Sergio

                                   Scheer e Profa. Dra. Maria Teresinha Arns Steiner. Curitiba, 2005.

                                   Siqueira, P.H.; Scheer, S; and Steiner, M.T.A. (2006). A New Neural Network Approach to the Traveling

                                   Salesman Problem. Lecture Notes in Computer Science, Volume 3971/2006, pp. 391-398. Springer Berlin /

                                   Heidelberg.

                                   Siqueira, P.H. et al. (2007). A new approach to solve the traveling salesman problem. Neurocomputing,

                                   Volume 70 , Issue 4-6 (January 2007). Pages 1013-1021. ISSN:0925-2312, DOI Bookmark:

                                   10.1016/j.neucom.2006.03.013  

                                   PH Siqueira, S Scheer, MTA Steiner (2007). A new heuristic procedure to solve the Traveling Salesman

                                   problem. Learning and Nonlinear Models - Revista da Sociedade Brasileira de Redes Neurais (SBRN), Vol. 5,

                                   No. 1, pp. 1-9, 2007.

                                   Zhang, W.D., Bai, P.B. and Hu, H.P. (2006). The incorporation of an efficient initialization method and

                                   parameter adaptation using self-organizing maps to solve the TSP. Applied mathematics and computation,

                                   vol. 172, no1, pp. 603-623

                                   Wen Dong Zhang, Yan Ping Bai and Hong Ping Hu (2006). The incorporation of an efficient initialization

                                   method and parameter adaptation using self-organizing maps to solve the TSP. Applied Mathematics and

                                   Computation 172 (2006) 603–623.

                                   Zhang, Jun-Ying; Zhou, Bin (2008). Self organizing map with generalized and localized parallel

                                   competitions for the TSP. Jisuanji Xuebao/Chinese Journal of Computers. Vol. 31, no. 2, pp. 220-227. Feb.

                                   2008.

                                   Zhao, Y.X. (2006). Swarm-Intelligence-Based Optimization Algorithms and Their Applications. D.Sc. Thesis.

                                    Computer Science and Information Engineering. National Central University, Taiwan.

  quinta-feira, 24 de dezembro de 2009                                                                                                                     Página 10 de 11


      Referência                                                                         Citações da Referência

           Total de citações:  18                        Percentual da base:  12,68%

      Xavier et al. (2001)             Xavier, S., Dória Neto, A.D., Costa, J.A.F. and Netto, M.L.A. (2001). A neural hybrid system to

                                              large capacity memory association. In: Proc. of the Intl. Joint Conf. on Neural Networks (IEEE),

                                              Washington, DC, July 2001, pp. 1174-1179. 

                                   Oja, M., Kaski, S. and Kohonen, T. (2003). Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001

                                   Addendum, Neural Computing Surveys. ISSN 1093-7609, pp.1-156. 

                                   Xavier, S. (2007). Optimisation and Robustness of Cellular Neural Networks. PhD. Thesis., Univ. Cat. du

                                   Leuven, Belgium.

           Total de citações:  2                          Percentual da base:  1,41%

           142

  quinta-feira, 24 de dezembro de 2009                                                                                                                     Página 11 de 11