Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. Frasca, M., Sepehri, M., Petrini, A., Grossi, G., & Valentini, G. In Raposo, M., Ribeiro, P. A., S'erio, S., Staiano, A., & Ciaramella, A., editors, Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6-8, 2018, Revised Selected Papers, volume 11925, of Lecture Notes in Computer Science, pages 80–87, 2018. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/cibb/0001SPGV18,
  author       = {Marco Frasca and
                  Maryam Sepehri and
                  Alessandro Petrini and
                  Giuliano Grossi and
                  Giorgio Valentini},
  editor       = {Maria Raposo and
                  Paulo A. Ribeiro and
                  Susana S{\&apos;{e}}rio and
                  Antonino Staiano and
                  Angelo Ciaramella},
  title        = {Committee-Based Active Learning to Select Negative Examples for Predicting
                  Protein Functions},
  booktitle    = {Computational Intelligence Methods for Bioinformatics and Biostatistics
                  - 15th International Meeting, {CIBB} 2018, Caparica, Portugal, September
                  6-8, 2018, Revised Selected Papers},
  series       = {Lecture Notes in Computer Science},
  volume       = {11925},
  pages        = {80--87},
  publisher    = {Springer},
  year         = {2018},
  url          = {https://doi.org/10.1007/978-3-030-34585-3\_7},
  doi          = {10.1007/978-3-030-34585-3\_7},
  timestamp    = {Sat, 05 Sep 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/cibb/0001SPGV18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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