header

pub Software / Datasets

Microglia Project
Datasets and code:
  • Microglia Dataset (Please contact the authors for instructions to download the dataset. In preparation. Stay tuned.)
  • Software: Python code (we are conducting small updates. Stay tuned.)
Reference journal paper:
    (submitted)
    
Publications that use this dataset and portions of this code:
Transmission Electron Microscopy Imaging Project
Datasets and code:
  • Immunogold Particles Dataset (Please contact the authors for instructions to download the dataset)
  • Software: MATLAB® and Python code (we are conducting small updates. Stay tuned.)
Reference journal paper:
    (submitted)
    
Publications that use this dataset and portions of this code:

[1] R. Gamelas Sousa, T. Esteves, S. Rocha, F. Figueiredo, J. M. de Sá, L. A. Alexandre, J. M. Santos, and L. M. Silva, “Transfer learning for the recognition of immunogold particles in tem imaging,” in IWANN, 2015. accepted. [ bib | .pdf ]
[2] R. Gamelas Sousa, T. Esteves, S. Rocha, F. Figueiredo, P. Quelhas, and L. M. Silva, “Automatic Detection of Immunogold Particles from Electron Microscopy Images,” in ICIAR, 2015. accepted. [ bib | .pdf ]
Reduced Set Project (MATLAB® code) - For an up to date version, check my github page
If you use this code please cite the following journal paper:
    (submitted)
    
Publications that use portions of this code:

[1] R. Gamelas Sousa, A. R. da Rocha Neto, and G. A. Barreto, “Reduced-Set Method for Support Vector Machines based on Reject Option,” 2015. submitted. [ bib | www: ]
[2] R. Sousa, A. R. da Rocha Neto, G. A. Barreto, J. S. Cardoso, and M. T. Coimbra, “Reject Option Paradigm for the Reduction of Support Vectors,” in ESANN, 2014. [ bib | .pdf ]
Unimodal Project (MATLAB® code)
If you use this code please cite the following paper:
    @inproceedings{JFCostaICMLA2010,
      author = {da Costa, Joaquim Pinto and Sousa, Ricardo and Cardoso, Jaime S},
      booktitle = {Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010)},
      title = {{An all-at-once Unimodal SVM Approach for Ordinal Classification}},
      url = {http://rsousa.org/docs/pubs/JFCostaICMLA2010.pdf},
      year = {2010}
    }
    
Reject Option Project (MATLAB® code)
If you use this code please cite the following journal paper:
    @article{RSousaAICOM2013,
       author = {Ricardo Sousa and Jaime S. Cardoso},
       title = {{The Data Replication Method for the Classification with Reject Option}},
       journal = {AI Communications},
       year = {2013},
       volume = {26},
       issue = {3},
       pages = {281-302},
    }
    
Publications that use portions of this code:

[1] R. Gamelas Sousa, A. R. da Rocha Neto, J. S. Cardoso, and G. A. Barreto, “Robust classification with reject option using the self-organizing map,” Neural Computing and Applications, 2015. [ bib | DOI | .pdf ]
[2] R. Sousa, A. R. da Rocha Neto, G. A. Barreto, and J. S. Cardoso, “Classification with reject option using the self-organizing map,” in ICANN, 2014. [ bib | .pdf ]
[3] R. Sousa and J. S. Cardoso, “The Data Replication Method for the Classification with Reject Option,” AI Communications, vol. 26, pp. 281--302, 2013. [ bib | .pdf ]
[4] A. R. da Rocha Neto, R. Sousa, G. A. Barreto, and J. S. Cardoso, “Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option,” in Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2011. [ bib | .pdf ]
[5] R. Sousa, B. Mora, and J. S. Cardoso, “An Ordinal Data Method for the Classification with Reject Option,” in Proceedings of The Eighth International Conference on Machine Learning and Applications (ICMLA 2009), 2009. [ bib | .pdf ]
OCI - Ordinal Classification Index (MATLAB® code) - A performance measure for ordinal classifiers
If you use this code please cite the following journal paper:
    @article{CardosoJaimeS.Sousa2011,
      author = {Cardoso, Jaime S. and Sousa, Ricardo},
      journal = {International Journal of Pattern Recognition and Artificial Intelligence},
      title = {{Measuring the Performance of Ordinal Classification}},
      year = {2011},
      doi = {10.1142/S0218001411009093},
      volume = {25},
      number = {8},
      pages = {1173--1195}
    }
  
Publications that use portions of this code:

[1] J. S. Cardoso and R. Sousa, “Measuring the Performance of Ordinal Classification,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 25, no. 8, pp. 1173--1195, 2011. [ bib | DOI ]