| PBG at the NTCIR-13 Lifelog-2 LAT, LSAT, and LEST Tasks. S Yamamoto, T Nishimura, Y Akagi, Y Takimoto, T Inoue, H Toda NTCIR, 2017 | 17 | 2017 |
| Predicting traffic accidents with event recorder data Y Takimoto, Y Tanaka, T Kurashima, S Yamamoto, M Okawa, H Toda Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction …, 2019 | 16 | 2019 |
| Extraction of Frequent Patterns Based on Users' Interests from Semantic Trajectories with Photographs Y Takimoto, K Sugiura, Y Ishikawa Proceedings of the 21st International Database Engineering & Applications …, 2017 | 5 | 2017 |
| ドライブレコダデタに基づくヒヤリハット発生予測 瀧本祥章， 田中佑典， 倉島健， 山本修平， 大川真耶， 戸田浩之 DEIM Forum, 2019 | 2 | 2019 |
| Deep Unsupervised Activity Visualization using Head and Eye Movements J Yamashita, Y Takimoto, H Koya, H Oishi, T Kumada Proceedings of the 25th International Conference on Intelligent User …, 2020 | 1 | 2020 |
| 時間帯を考慮したパソナライズ目的地予測 瀧本祥章， 西田京介， 遠藤結城， 戸田浩之， 澤田宏， 石川佳治 電子情報通信学会論文誌 D 100 (4), 472-484, 2017 | 1 | 2017 |
| Meta-Learning for Neural Network-based Temporal Point Processes Y Takimoto, Y Tanaka, T Iwata, M Okawa, H Kim, H Toda, T Kurashima arXiv preprint arXiv:2401.15846, 2024 | | 2024 |
| How do personality traits modulate real-world gaze behavior? Generated gaze data shows situation-dependent modulations J Yamashita, Y Takimoto, H Oishi, T Kumada Frontiers in Psychology 14, 1144048, 2024 | | 2024 |
| Point process learning method, point process learning apparatus and program Y Takimoto, T Kurashima, Y Tanaka US Patent App. 18/249,772, 2023 | | 2023 |
| Learning apparatus, learning method and learning program Y Takimoto, H Toda, T Kurashima, S Yamamoto US Patent App. 17/924,009, 2023 | | 2023 |
| Estimation method, estimation apparatus and program Y Takimoto, H Toda, T Kurashima, S Yamamoto US Patent App. 17/922,320, 2023 | | 2023 |
| Classification device, learning device, classification method, learning method, classification program and learning program Y Takimoto, H Toda, T Matsubayashi, S Yamamoto US Patent App. 17/638,774, 2022 | | 2022 |
| Event occurrence time learning device, event occurrence time estimation device, event occurrence time learning method, event occurrence time estimation method, event occurrence … Y Takimoto, Y Tanaka, T Kurashima, S Yamamoto, M Okawa, H Toda US Patent App. 17/613,062, 2022 | | 2022 |
| 敵対的生成ネットワクを用いた作業者の性格ごとの頭部·眼球運動の特徴可視化 山下純平， 蟹江大成， 瀧本祥章， 小矢英毅， 片岡明， 大石晴夫， 熊田孝恒 電子情報通信学会論文誌 D 情報·システム 105 (5), 348-359, 2022 | | 2022 |
| Event occurrence time learning device, event occurrence time estimation device, event occurrence time estimation method, event occurrence time learning program, and event … Y Takimoto, Y Tanaka, T Kurashima, S Yamamoto, M Okawa, H Toda US Patent App. 17/431,774, 2022 | | 2022 |
| Asterisk-Shaped Features for Tabular Data Y Kurauchi, Y Takimoto, S Yamamoto, S Seko, H Toda Proceedings of the 30th ACM International Conference on Information …, 2021 | | 2021 |
| ドライブレコダを用いた交通事故発生予測 瀧本祥章， 田中佑典， 倉島健， 山本修平， 大川真耶， 戸田浩之 情報処理学会論文誌デタベス (TOD) 14 (1), 1-7, 2021 | | 2021 |
| イベント発生時刻学習装置, イベント発生時刻推定装置, イベント発生時刻学習方法, イベント発生時刻推定方法, イベント発生時刻学習プログラム, 及びイベント発生時刻推定プログラム 祥章， 瀧本， 佑典， 田中， 倉島健， 山本， 修平， 真耶， 大川， 浩之， 戸田 | | 2020 |
| アスタリスク型フィルタリングを用いた表形式デタを対象とする深層学習 蔵内雄貴， 瀧本祥章， 山本修平， 瀬古俊一， 戸田浩之 電子情報通信学会技術研究報告; 信学技報 120 (195), 1-7, 2020 | | 2020 |
| Deep Learning for Table Data Using Asterisk-shaped Filtering Y Kurauchi, Y Takimoto, S Yamamoto, S Seko, H Toda IEICE Technical Report; IEICE Tech. Rep. 120 (195), 1-7, 2020 | | 2020 |
