Journal

• 鶴岡 翔平, 西尾 俊哉, 天方 大地, 原 隆浩 Pub/Sub環境におけるkNNデータモニタリングの分散処理のためのクエリ割り当てアルゴリズム 情報処理学会論文誌：データベース (TOD), volume 12, number 4, pages 53-65, 2019年10月.
• 加藤 慎也, 天方 大地, 原 隆浩 多次元ストリーミング時系列データの効率的なモチーフモニタリングアルゴリズム 情報処理学会論文誌 , volume 61, number 9, 2019年9月.
• 加藤 慎也, 天方 大地, 西尾 俊哉, 原 隆浩 ストリーミング時系列データに対するモチーフモニタリング 情報処理学会論文誌 , volume 60, number 7, pages 1260-1269, 2019年7月.
• Qingxin Xia, Atsushi Wada, Joseph Korpela, Takuya Maekawa, and Yasuo Namioka Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction Information Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), volume 3, number , pages 1-23, 2019.
• Shuhei Yamazaki, Kazuya Ohara, Kentaro Ito, Nobuo Kokubun, Takuma Kitanishi, Daisuke Takaichi, Yasufumi Yamada, Yosuke Ikejiri, Fumie Hiramatsu, Kosuke Fujita, Yuki Tanimoto, Akiko Yamazoe-Umemoto, Koichi Hashimoto, Katsufumi Sato, Ken Yoda, Akinori Takahashi, Yuki Ishikawa, Azusa Kamikouchi, Shizuko Hiryu, Takuya Maekawa, and Kotaro Kimura Steftr: a Hybrid Versatile Method for State Estimation and Feature Extraction from the Trajectory of Animal Behavior Frontiers in Neuroscience, volume 13, 2019.
• 田 一鳴, 前川 卓也, 天方 大地, 原 隆浩, 松本 祥子, 依田 憲, 藤岡 慧明, 濱井 郁弥, 福井 大, 飛龍 志津子 マルチモーダル移動行動データからの高速な頻出共起ルール抽出手法 情報処理学会論文誌, volume 60, number 3, pages 859-869, 2019年3月.
• 高 博奇, 前川 卓也, 天方 大地, 原 隆浩 モバイルアドホックネットワークにおけるアンサンブル学習を用いた頑健な攻撃端末の検出 情報処理学会論文誌, volume 60, number 2, pages 501-513, 2019年2月.
• Koichi Hashimoto, Yuichi Tsumaki, Takuya Maekawa, and Shizuko Hiryu Preface: Special Issue on Systems Science of Bio-Navigation Advanced Robotics (AR), volume 33, number 3-4, page 107, 2019.
• 西尾 俊哉, 天方 大地, 原 隆浩 ユーザの移動を考慮したキーワード付き空間データに対するTop-k問合せのためのストリーミングアルゴリズム 電子情報通信学会論文誌, volume J102-D, number 1, pages 1-12, 2019年1月.

International Conference

• Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction Proceedings of the IEEE International Conference on Big Data, pages 5611-5619, 2019.
• Daichi Amagata and Takahiro Hara Correlation Set Discovery on Time-series Data Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 275-290, 2019.
• Shinya Kato, Daichi Amagata, Shunya Nishio, and Takahiro Hara. Discord Monitoring for Streaming Time-series Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 79-94, 2019.
• Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS), pages 1983-1993, 2019.
• Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa Behavior Matching between Different Domains based on Canonical Correlation Analysis Proceedings of the Web Conference, pages 361-366, 2019.
• Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System Proceedings of the Web Conference, pages 398-403, 2019.
• Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara. A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targetin Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 274-285, 2019.
• Daichi Amagata and Takahiro Hara Identifying the Most Interactive Object in Spatial Databases Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 1286-1297, 2019.
• Daichi Amagata, Takahiro Hara, and Chuan Xiao Dynamic Set kNN Self-Join Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 818-829, 2019.