Journal

• Yiming Tian, Takuya Maekawa, Joseph Korpela, Daichi Amagata, Takahiro Hara, Sakiko Matsumoto, and Ken Yoda Automatic Identification of Differences in Behavioral Co-occurrence between Groups Animal Biotelemetry, volume 9, number 21, 2021.
• 水谷 友一, 鈴木 宏和, 前川 卓也, Joseph Korpela, Takahisa Miyatake, 越山 洋三, 依田 憲 海上飛翔中のウミネコによる昆虫捕食とその同定 日本鳥学会誌 , vol.70, pp.53-60, 2021年12月.
• Cheng Chen, Takuya Maekawa, Daichi Amagata, and Takahiro Hara Predicting Next-use Mobile Apps Using App Semantic Representations 電子情報処理学会 論文誌, vol.29, pp.597-609, October 2021.
• Takuya Maekawa, Daiki Hgashide, Takahiro Hara, Kentaro Matsumura, Kaoru Ide, Takahisa Miyatake, Kotaro Kimura, and Susumu Takahashi Cross-species behavior analysis with attention-based domain-adversarial deep neural networks Nature Communications , volume 12, number 1, page 5519, September 2021.
• Thilina Dissanayake, Takuya Maekawa, Takahiro Hara, Taiki Miyanishi, Motoaki Kawanabe IndoLabel: Predicting Indoor Location Class by Discovering Location-specific Sensor Data Motifs IEEE Sensors Journal , volume 22, number 6, pages 5372-5385, 2021.
• 吉村 直也, 前川 卓也, 原 隆浩 行動認識ニューラルネットワークによる特徴抽出の可視化と転移学習への応用 情報処理学会論文誌 (IPSJ Journal), volume 62, number 5, pages 1307-1316, 2021年5月.
• 新井 悠介, 天方 大地, 原 隆浩, 藤田 澄男 高次元データに対するグラフインデックスを用いた近似範囲検索アルゴリズム 情報処理学会論文誌 (IPSJ Journal), volume 62, number 4, pages 1086 - 1098, 2021年4月.
• Akira Uchiyama, Shunsuke Saruwatari, Takuya Maekawa, Kazuya Ohara, and Teruo Higashino Context Recognition by Wireless Sensing 情報処理学会論文誌 (IPSJ Journal), volume 29, pages 46-57, 2021.
• 浪岡 保男, 前川 卓也 製造現場でのモノづくりCPSの構築に寄与する作業情報の自動抽出手法 東芝レビュー(Web) , volume 76, number 1, 2021年1月.
• Yihong Zhang, Masumi Shirakawa, and Takahiro Hara Predicting Temporary Deal Success with Social Media Timing Signals Journal of Intelligent Information Systems, volume 59, pages 1-19, 2021.

International Conference

• Hayato Nakama, Daichi Amagata, and Takahiro Hara Approximate Top-k Inner Product Join with a Proximity Graph Proceedings of IEEE International Conference on Big Data (IEEE BigData), pages 4468-4471, 2021.
• Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, and Takahiro Hara Concept Drift Detection with Denoising Autoencoder in Incomplete Data Proceedings of EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pages 541-552, 2021.
• Daichi Amagata, Shohei Tsuruoka, Yusuke Arai, and Takahiro Hara Feat-SKSJ: Fast and Exact Algorithm for Top-k Spatial-Keyword Similarity Join Proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information System (SIGSPATIAL), pages 15-24, 2021.
• Daichi Amagata and Takahiro Hara Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? Proceedings of the ACM Recommender Systems Conference (RecSys), pages 273-281, 2021
• Yusuke Arai, Daichi Amagata, Sumio Fujita, and Takahiro Hara LGTM: A Fast and Accurate kNN Search Algorithm in High-dimensional Spaces. Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 220-231, 2021.
• Daichi Amagata and Takahiro Hara Fast Density-Peaks Clustering: Multicore-based Parallelization Approach Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 49-61, 2021.
• Daichi Amagata, Makoto Onizuka, and Takahiro Hara Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 36-48, 2021.
• Yiming Tian, Takuya Maekawa, Takahiro Hara, Yojiro Yokomori, and Takashi Kitagawa NaviMine: A tool for mining trajectories through behavior prediction Proceedings of International Workshop on Pervasive Information Flow (PerFlow), pages 502-507, 2021.