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Okawa, Maya 大川, 真耶 オオカワ, マヤ 2022-07-14T09:18:16Z 2022-07-14T09:18:16Z 2022-03-23 2022-03-23 http://hdl.handle.net/2433/275350 10.14989/doctor.k24028 14301 eng Kyoto University 京都大学 ・Deep mixture point processes: Spatio-temporal event prediction with rich contextual information. In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 373–383. ACM, 2019. https://doi.org/10.1145/3292500.3330937 ・Context-aware spatio-temporal event prediction via convolutional hawkes processes. Machine Learning Journal (Special Issue of ECML PKDD), 107(8-10):1283–1302, 2021. doi:10.1007/s10994-022-06136-5 ・Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 1276–1286. ACM, 2021.https://doi.org/10.1145/3447548.3467248 Event Prediction Point Processes Hawkes Processes Neural Network Event Sequence 007 Spatio-temporal Event Prediction via Deep Point Processes 深層点過程を用いた時空間イベント予測 doctoral thesis Thesis or Dissertation ETD 京都大学 新制・課程博士 博士(情報学) 甲第24028号 情博第784号 新制||情||133(附属図書館) 京都大学大学院情報学研究科知能情報学専攻 (主査)教授 鹿島 久嗣, 教授 山本 章博, 教授 吉川 正俊 学位規則第4条第1項該当 Doctor of Informatics Kyoto University DFAM djohk00784.pdf yjohk00784.pdf fulltext abstract application/pdf application/pdf open access Supervisor Supervisor Supervisor 鹿島, 久嗣 山本, 章博 吉川, 正俊open.access