• GBPNet: Universal Geometric Representation Learning on Protein Structures

    Sarp Aykent, Tian Xia

    KDD ,Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 4–14, 14.99% acceptance

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    Cite GBPNet

    BibTeX

    @inproceedings{gbp2022,
  author = {Aykent, Sarp and Xia, Tian},
  title = {{GBPNet: Universal Geometric Representation Learning on Protein Structures}},
  booktitle = {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  series = {KDD '22},
  pages = {4--14},
  year = {2022},
  month = aug,
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  isbn = {9781450393850},
  doi = {10.1145/3534678.3539441},
  venue = {Washington, DC, USA}
}

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    APA
    Aykent, S., & Xia, T. (2022). GBPNet: Universal Geometric Representation Learning on Protein Structures. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD ’22, 4–14. https://doi.org/10.1145/3534678.3539441
    Vancouver
    Aykent S, Xia T. GBPNet: Universal Geometric Representation Learning on Protein Structures. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: Association for Computing Machinery; 2022. p. 4–14. (KDD ’22). doi:10.1145/3534678.3539441
    Harvard
    Aykent, S. and Xia, T. (2022) “GBPNet: Universal Geometric Representation Learning on Protein Structures,” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: Association for Computing Machinery (KDD ’22), pp. 4–14. Available at: https://doi.org/10.1145/3534678.3539441.
    MLA
    Aykent, Sarp, and Tian Xia. “GBPNet: Universal Geometric Representation Learning on Protein Structures.” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining [New York, NY, USA], KDD ’22, 2022, pp. 4–14, https://doi.org/10.1145/3534678.3539441.

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  • AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks

    Sarp Aykent, Gerry Dozier

    ICMLA ,19th IEEE International Conference on Machine Learning and Applications, pp. 1044–1050

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    Cite AARef

    BibTeX

    @inproceedings{aykent2020aaref,
  author = {Aykent, Sarp and Dozier, Gerry},
  title = {{AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks}},
  booktitle = {2020 19th IEEE International Conference on Machine Learning and Applications},
  pages = {1044--1050},
  year = {2020},
  month = dec,
  organization = {IEEE},
  doi = {10.1109/ICMLA51294.2020.00169}
}

    Other styles

    APA
    Aykent, S., & Dozier, G. (2020). AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. 2020 19th IEEE International Conference on Machine Learning and Applications, 1044–1050. https://doi.org/10.1109/ICMLA51294.2020.00169
    Vancouver
    Aykent S, Dozier G. AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. In: 2020 19th IEEE International Conference on Machine Learning and Applications. IEEE; 2020. p. 1044–50. doi:10.1109/ICMLA51294.2020.00169
    Harvard
    Aykent, S. and Dozier, G. (2020) “AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks,” 2020 19th IEEE International Conference on Machine Learning and Applications. IEEE, pp. 1044–1050. Available at: https://doi.org/10.1109/ICMLA51294.2020.00169.
    MLA
    Aykent, Sarp, and Gerry Dozier. “AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks.” 2020 19th IEEE International Conference on Machine Learning and Applications, 2020, pp. 1044–50, https://doi.org/10.1109/ICMLA51294.2020.00169.

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  • Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks

    Sarp Aykent, Gerry Dozier

    SMC ,IEEE International Conference on Systems, Man, and Cybernetics, pp. 675–681

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    Cite Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks

    BibTeX

    @inproceedings{aykent2020shortcnn,
  author = {Aykent, Sarp and Dozier, Gerry},
  title = {{Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks}},
  booktitle = {2020 IEEE International Conference on Systems, Man, and Cybernetics},
  pages = {675--681},
  year = {2020},
  month = oct,
  organization = {IEEE},
  doi = {10.1109/SMC42975.2020.9283214}
}

    Other styles

    APA
    Aykent, S., & Dozier, G. (2020). Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks. 2020 IEEE International Conference on Systems, Man, and Cybernetics, 675–681. https://doi.org/10.1109/SMC42975.2020.9283214
    Vancouver
    Aykent S, Dozier G. Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks. In: 2020 IEEE International Conference on Systems, Man, and Cybernetics. IEEE; 2020. p. 675–81. doi:10.1109/SMC42975.2020.9283214
    Harvard
    Aykent, S. and Dozier, G. (2020) “Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks,” 2020 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, pp. 675–681. Available at: https://doi.org/10.1109/SMC42975.2020.9283214.
    MLA
    Aykent, Sarp, and Gerry Dozier. “Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks.” 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020, pp. 675–81, https://doi.org/10.1109/SMC42975.2020.9283214.

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  • Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH)

    Sarp Aykent, Gerry Dozier

    SoutheastCon , pp. 1–6

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    Cite DiNEH

    BibTeX

    @inproceedings{aykent2020dineh,
  author = {Aykent, Sarp and Dozier, Gerry},
  title = {{Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH)}},
  booktitle = {2020 SoutheastCon},
  pages = {1--6},
  year = {2020},
  month = mar,
  organization = {IEEE},
  doi = {10.1109/SoutheastCon44009.2020.9249707}
}

    Other styles

    APA
    Aykent, S., & Dozier, G. (2020). Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH). 2020 SoutheastCon, 1–6. https://doi.org/10.1109/SoutheastCon44009.2020.9249707
    Vancouver
    Aykent S, Dozier G. Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH). In: 2020 SoutheastCon. IEEE; 2020. p. 1–6. doi:10.1109/SoutheastCon44009.2020.9249707
    Harvard
    Aykent, S. and Dozier, G. (2020) “Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH),” 2020 SoutheastCon. IEEE, pp. 1–6. Available at: https://doi.org/10.1109/SoutheastCon44009.2020.9249707.
    MLA
    Aykent, Sarp, and Gerry Dozier. “Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH).” 2020 SoutheastCon, 2020, pp. 1–6, https://doi.org/10.1109/SoutheastCon44009.2020.9249707.

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