{"id":207,"date":"2017-09-06T15:41:17","date_gmt":"2017-09-06T18:41:17","guid":{"rendered":"http:\/\/web.inf.ufpr.br\/luizoliveira\/?page_id=207"},"modified":"2024-02-20T09:35:14","modified_gmt":"2024-02-20T12:35:14","slug":"theses-and-dissertations","status":"publish","type":"page","link":"https:\/\/web.inf.ufpr.br\/luizoliveira\/publications\/theses-and-dissertations\/","title":{"rendered":"Theses and Dissertations"},"content":{"rendered":"

Doctoral Theses<\/h2>\n
    \n
  1. Ensina, L. A., Framework para An\u00e1lise de Faltas em Linhas de Transmiss\u00e3o: Um m\u00e9todo baseado em modelos m\u00faltiplos predicativos, PPGInf, UFPR, 2024 pdf<\/li>\n
  2. Fragoso, R., Clustering based dynamic ensemble selection for one-class decomposition, CIn, UFPE, 2022 link<\/a><\/li>\n
  3. Maruyama, T., Automatic Intrapersonal Variability Modeling for Offline Signature Verification, PPGInf, UFPR, 2021 pdf<\/a><\/li>\n
  4. Moura, T., MINE: a framework for dynamic regressor selection, Centro de Inform\u00e1tica, UFPE, 2019. link<\/a><\/li>\n
  5. Hafemann, L. Learning features for offline handwritten signature verification, Systems Engineering Department, \u00c9cole de technologie sup\u00e9rieure, 2019. link<\/a>, pdf<\/a><\/li>\n
  6. Hochuli, A., Abordagens Livres de Segmenta\u00e7\u00e3o para Reconhecimento Autom\u00e1tica de Cadeias Num\u00e9ricas Manuscritas Utilizando Aprendizado Profundo, PPGInf, UFPR, 2019\u00a0pdf<\/a><\/li>\n
  7. Spanhol, F. A.,Automatic Breast Cancer Classification From Histopathological Images: A Hybrid Approach, PPGInf, UFPR, 2018,\u00a0pdf<\/a><\/li>\n
  8. Almeida, P. R L, Adapting the Dynamic Selection of Classifiers Approach for Concept Drift Scenarios, PPGInf, UFPR, 2017. pdf<\/a><\/li>\n
  9. Aires, S. B. K., Modelo Hier\u00e1rquico Perceptivo para Recupera\u00e7\u00e3o de Marcas Registradas Visuais, PPGIA, PUCPR, 2015. pdf<\/a><\/li>\n
  10. Bertolini, D., Verifica\u00e7\u00e3o e Identifica\u00e7\u00e3o de Escritores usando Caracter\u00edsticas Texturais e Dissimilaridade, PPGInf, UFPR, 2014. pdf<\/a><\/span><\/li>\n
  11. Martins, J. G., Identifica\u00e7\u00e3o de Esp\u00e9cies Florestais Utilizando Sele\u00e7\u00e3o Din\u00e2mica de Classificadores no Espa\u00e7o de Dissimilaridade, PPGInf, UFPR, 2014. pdf<\/a><\/span><\/li>\n
  12. Gomes, Y. M. C., Reconhecimento de G\u00eaneros Musicais utilizando Espectrogramas e Combina\u00e7\u00e3o de Classificadores, PPGInf, UFPR, 2013.\u00a0pdf<\/a><\/span><\/li>\n
  13. Paula Filho, P. L., Reconhecimento de Esp\u00e9cies Florestais atrav\u00e9s de Imagens Macrosc\u00f3picas, PPGInf, UFPR, 2012.\u00a0pdf<\/a><\/span><\/li>\n
  14. Silva H. A., Algoritmo de Otimiza\u00e7\u00e3o Multin\u00edvel Aplicado a Problemas de Planejamento de Redes, PPGIA, PUCPR, 2012.\u00a0pdf<\/a><\/span>.<\/li>\n
  15. Vriesmann L. M., Sele\u00e7\u00e3o Din\u00e2mica de Subconjunto de Classificadores: Abordagem Baseada em Acur\u00e1cia Local, PPGIA, \u00a0PUCPR, 2012.\u00a0pdf<\/a><\/span><\/li>\n
  16. Oliveira L.S., Automatic Recognition of Handwritten Numerical Strings. PhD Thesis, University of Quebec, ETS, Montreal, QC, Canada, July 2003. pdf<\/a><\/span><\/li>\n<\/ol>\n

    MSc Dissertations<\/h2>\n
      \n
    1. Daniel Pimenta, Coral Classification using Deep Learning, UFPR, PPGInf, 2022, pdf<\/a><\/li>\n
    2. Mariana Noguti, Comparison of NLP Algorithms applied to Small Supervised Datasets in the Legal Domain, UFPR, PPGInf, 2022. pdf<\/a><\/li>\n
    3. Cabane Oliveira, Meta-Regress\u00e3o para a Previs\u00e3o de Erros em S\u00e9ries Temporais, UFPR, PPGInf, 2021, pdf<\/a><\/li>\n
    4. Matsushita, G., Automatic Identification of Phasic Dopamine Release, UFPR, PPGInf, 2018. pdf<\/a><\/li>\n
    5. Herweg Filho, G. H., Diagn\u00f3stico de Imunoensaios de fluxo lateral por meio de reconhecimento de padr\u00f5es, UFPR, PPGInf, 2018.<\/li>\n
    6. Sato, F.,\u00a0An\u00e1lise Comparativa de Algoritmos de Estimativa de Radia\u00e7\u00e3o Solar Hor\u00e1ria, UFPR, PPGInf, 2018.<\/li>\n
    7. Furlaneto, D. C., An analysis of Ensemble Empirical Mode Decomposition applied to Trend Prediction on Financial Time Series, UFPR, PPGInf, 2017. pdf<\/a><\/li>\n
    8. Silva Jr., E. J. M\u00e9todo de Classifica\u00e7\u00e3o em Cascata de Dois N\u00edveis: Uma alternativa para a redu\u00e7\u00e3o do custo de sistemas baseados em m\u00faltiplos classificadores, PUCPR, PPGIa, October 2015. pdf<\/a><\/span><\/li>\n
    9. Stiehl D., Reconhecimento de S\u00edmbolos de M\u00e3o de SignWriting, UFPR, PPGInf, June, 2015. pdf<\/a><\/span><\/span><\/li>\n
    10. Hafemann, L. G., An Analysis of Deep Neural Networks for Texture Classification, UFPR, PPGInf, November, 2014. pdf<\/a><\/span><\/li>\n
    11. Almeira, P. R. L, Combina\u00e7\u00e3o de Caracter\u00edsticas Texturais para a Classifica\u00e7\u00e3o Autom\u00e1tica de Vagas de Estacionamento, UFPR, PPGInf, December, 2013. pdf<\/a><\/span><\/li>\n
    12. Lucas Filho. E. R, HiveQL Self Tuning, UFPR, PPGInf, August 2013. pdf<\/a><\/span><\/li>\n
    13. Bazzo, G., Classifica\u00e7\u00e3o Autom\u00e1tica de Erros de Aprendizes Humanos do Processo de Indu\u00e7\u00e3o Anal\u00edtica, UFPR, PPGInf, August 2011. pdf<\/a><\/span><\/li>\n
    14. Oliveira Jr, W. R., Estudo Comparativo dos M\u00e9todos de Compress\u00e3o de Dados na Atribui\u00e7\u00e3o de Autoria de Texto, PUCPR, PPGIa, August 2011.<\/li>\n
    15. Zavaschi, T., Classifica\u00e7\u00e3o de express\u00f5es faciais com Combina\u00e7\u00e3o de Classificadores, PUCPR, PPGIa, March 2011.<\/li>\n
    16. Varela, P., O Uso de Atributos Estilom\u00e9tricos na Identifica\u00e7\u00e3o da Autoria de Textos, PUCPR, PPGIa, Brazil, March 2010. pdf<\/a><\/span><\/li>\n
    17. Olivo, C., Avalia\u00e7\u00e3o de Caracter\u00edsticas para Detec\u00e7\u00e3o de Phishing de email, PUCPR, PPGIa, Brazil, March 2010. pdf<\/a><\/span><\/li>\n
    18. Hanusiak, R., Verifica\u00e7\u00e3o da Autoria de Manuscritos com Base em Atributos Gen\u00e9ticos e Gen\u00e9ricos da Escrita, PUCPR, PPGIa, Brazil, March 2010. pdf<\/a><\/span><\/li>\n
    19. Ribas, F. C., Caracteriza\u00e7\u00e3o de Algoritmos de Segmenta\u00e7\u00e3o de D\u00edgitos Manuscritos, PUCPR, PPGIa, Brazil, March 2010. pdf<\/a><\/span><\/li>\n
    20. Bergamini C. M., Estudo Comparativo de M\u00e9todos de Fus\u00e3o Aplicado a Biometria, PUCPR, PPGIa, Brazil, March 2009<\/li>\n
    21. Santos M., Combinando Caracter\u00edsticas Complementares em HMM: Uma Otimiza\u00e7\u00e3o para o Reconhecimento de Caracteres Manuscritos, PUCPR, PPGIa, Brazil, February 2009 pdf<\/a><\/span><\/li>\n
    22. Pimenta A., Reconstru\u00e7\u00e3o Digita de Documentos Mutilados usando Programa\u00e7\u00e3o Din\u00e2mica, PUCPR, PPGIa, Brazil, February 2009 pdf<\/a><\/span><\/li>\n
    23. Bertolini D., Agrupamento de Classificadores na Verifica\u00e7\u00e3o de Assinaturas Off-line, PUCPR, PPGIa, Brazil, October 2008 pdf<\/a><\/span><\/li>\n
    24. Vellasques E., Classifica\u00e7\u00e3o de Pontos de D\u00edgitos Manuscritos, PUCPR, PPGIa, Curitiba, PR, Brazil, September 2006 pdf<\/a><\/span><\/li>\n
    25. Oliveira L.S., Estudo sobre a extra\u00e7\u00e3o das estruturas l\u00f3gica e f\u00edsica a partir imagens de cheques banc\u00e1rios Brasileiros. CEFET-PR. Curitiba-Pr, Brazil, February 1998. pdf<\/a><\/span><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      Doctoral Theses Ensina, L. A., Framework para An\u00e1lise de Faltas em Linhas de Transmiss\u00e3o: Um m\u00e9todo baseado em modelos m\u00faltiplos predicativos, PPGInf, UFPR, 2024 pdf Fragoso, R., Clustering based dynamic ensemble selection for one-class decomposition, CIn, UFPE, 2022 link Maruyama, T., Automatic Intrapersonal Variability Modeling for Offline Signature Verification, PPGInf, UFPR, 2021 pdf Moura, T.,…<\/p>\n","protected":false},"author":18,"featured_media":0,"parent":65,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-207","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/pages\/207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/comments?post=207"}],"version-history":[{"count":18,"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/pages\/207\/revisions"}],"predecessor-version":[{"id":772,"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/pages\/207\/revisions\/772"}],"up":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/pages\/65"}],"wp:attachment":[{"href":"https:\/\/web.inf.ufpr.br\/luizoliveira\/wp-json\/wp\/v2\/media?parent=207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}