About

Rafael Werneck photo

I'm a Postdoc at Universidade Estadual de Campinas (UNICAMP). I have a bachelor degree in Computer Science from the Universidade Federal de Juiz de Fora (UFJF), a master degree in Computer Science from the Universidade Estadual de Campinas, and a Ph.D. degree also at the Universidade Estadual de Campinas.

My interest are machine learning and pattern recognition.




Publications

Bachelor's Thesis

  • WERNECK, R. O. Planejamento de trajetórias com utilização de máquinas de vetor suporte, Universidade Federal de Juiz de Fora, 2011 (PDF), Bibtex

Master's Thesis

  • WERNECK, R. O. A unified framework for design, deployment, execution, and recommendation of machine learning experiments, University of Campinas, 2014. (PDF), Bibtex

PhD'd Dissertation

  • WERNECK, R. O. Learning Graph-based Representations and Matching in Classification Tasks, University of Campinas, 2019. (PDF), Bibtex

2015

  • Otávio A.B. Penatti, Rafael de O. Werneck, Waldir R. de Almeida, Bernardo V. Stein, Daniel V. Pazinato, Pedro R. Mendes Júnior, Ricardo da S. Torres, Anderson Rocha, Mid-level image representations for real-time heart view plane classification of echocardiograms, Computers in Biology and Medicine, Volume 66, 1 November 2015, Pages 66-81, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2015.08.004. DOI, Bibtex - CBM 2015 Top 15 papers.

2016

  • D. V. Pazinato, B. V. Stein, W R. de Almeida, R. O. Werneck, P. R. Mendes Júnior, O. A. B. Penatti, R. S. Torres, F. H. Menezes, A. Rocha, "Pixel-Level Tissue Classification for Ultrasound Images," in IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, pp. 256-267, Jan. 2016. doi: 10.1109/JBHI.2014.2386796 DOI, Bibtex

2017

  • Mendes Júnior, P.R., de Souza, R.M., Werneck, R.O., Stein, B.V., Pazinato, D.V., de Almeida, W.R., Penatti, O.A.B., Torres, R.S., Rocha, A., Nearest neighbors distance ratio open-set classifier. Machine Learning (2017) 106: 359. doi:10.1007/s10994-016-5610-8 DOI, Bibtex
  • Moreira, T.P., Perez, M.L., Werneck, R., Valle, E., Where is my puppy? Retrieving lost dogs by facial features. Multimedia Tools and Applications (2017) 76: 15325. doi:10.1007/s11042-016-3824-1 DOI, Bibtex
  • Keiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado, Rafael de Oliveira Werneck, Javier A. V. Muñoz, Otávio A. B. Penatti, Rodrigo Tripodi Calumby, Lin Li, Jefersson Alex dos Santos, Ricardo da Silva Torres, Data-Driven Flood Detection using Neural Networks. MediaEval 2017. DOI, Bibtex

2018

  • Rafael de Oliveira Werneck, Waldir Rodrigues de Almeida, Bernardo Vecchia Stein, Daniel Vatanabe Pazinato, Pedro Ribeiro Mendes Júnior, Otávio Augusto Bizetto Penatti, Anderson Rocha, Ricardo da Silva Torres, Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments, Future Generation Computer Systems, Volume 78, 2018, Pages 59-76, ISSN 0167-739X, http://dx.doi.org/10.1016/j.future.2017.06.013. DOI, Bibtex
  • Fernanda B. Silva, Rafael de O. Werneck, Siome Goldenstein, Salvatore Tabbone, Ricardo da S. Torres, Graph-based bag-of-words for classification, In Pattern Recognition, Volume 74, 2018, Pages 266-285, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2017.09.018. DOI, Bibtex
  • Keiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado, Rafael de Oliveira Werneck, Javier A. V. Muñoz, Otávio A. B. Penatti, Rodrigo Tripodi Calumby, Lin Tzy Li, Jefersson A. dos Santos, Ricardo da Silva Torres, Exploiting ConvNet Diversity for Flooding Identification. IEEE Geosci. Remote Sensing Lett, 15(9): 1446-1450 (2018) DOI, Bibtex
  • Rafael de Oliveira Werneck, Ícaro C. Dourado, Samuel G. Fadel, Salvatore Tabbone, Ricardo da Silva Torres, Graph-Based Early-Fusion for Flood Detection. ICIP 2018: 1048-1052 DOI, Bibtex
  • Rafael de Oliveira Werneck, Romain Raveaux, Salvatore Tabbone, Ricardo da Silva Torres, Learning Cost Functions for Graph Matching. S+SSPR 2018: 345-354 DOI, Bibtex

2019

  • Rafael de Oliveira Werneck, Romain Raveaux, Salvatore Tabbone, Ricardo da Silva Torres, Learning cost function for graph classification with open-set methods, Pattern Recognition Letters, Volume 128, 2019, Pages 8-15, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2019.08.010. DOI, Bibtex



Teaching

2015s2




Presentations

2021




Datasets

Flickr-dog




Contact

Instituto de Computação (IC)

Universidade Estadual de Campinas (UNICAMP)

Laboratório para Inferência em Dados Complexos (RECOD)

Av. Albert Einstein, 1251 - Cidade Universitária

CEP 13083-852 - Campinas/SP - Brasil

e-mail: rafael [dot] werneck [at] ic [dot] unicamp [dot] br




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