@inproceedings{CTT100895563,
  author = {杉田駿也 and 大上雅史},
  title = {親和性閾値を考慮した適用領域による薬剤標的親和性予測},
  booktitle = {研究報告バイオ情報学（BIO）},
  year = 2023,
}

@inproceedings{CTT100883617,
  author = {杉田駿也 and 大上雅史},
  title = {予測モデルの性質を考慮した適用領域による薬剤標的親和性予測},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100883628,
  author = {Shunya Sugita and Masahito Ohue},
  title = {Drug-target affinity prediction using applicability domain considering the characteristics of the prediction model},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100876284,
  author = {杉田駿也 and 大上雅史},
  title = {適用領域を考慮した薬剤標的親和性予測},
  booktitle = {研究報告バイオ情報学（BIO）},
  year = 2022,
}

@inproceedings{CTT100876318,
  author = {杉田駿也 and 大上雅史},
  title = {自由エネルギー摂動法計算における化合物ネットワーク構造の効率化},
  booktitle = {研究報告数理モデル化と問題解決（MPS）},
  year = 2022,
}

@inproceedings{CTT100876348,
  author = {Shunya Sugita and Masahito Ohue},
  title = {Drug-target affinity prediction using applicability domain of feature learning},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100876238,
  author = {Shunya Sugita and Masahito Ohue},
  title = {Drug-target affinity prediction using applicability domain based on data density},
  booktitle = {In Proceedings of The 18th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2021)},
  year = 2021,
}

@inproceedings{CTT100876386,
  author = {Shunya Sugita and Masahito Ohue},
  title = {Drug-target affinity prediction using applicability domain of feature learning},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100851817,
  author = {杉田駿也 and 大上雅史},
  title = {適用領域を考慮した薬剤標的親和性予測},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100839082,
  author = {杉田駿也 and 大上雅史},
  title = {自由エネルギー計算を利用した薬剤標的相互作用予測手法の検討},
  booktitle = {},
  year = 2020,
}