Updated on 2025/09/16

写真a

 
Keiichi Ochiai
 
Organization
School of Data Science Department of Data Science Associate Professor
Title
Associate Professor
External link

Degree

  • 博士（工学） ( 東京大学 )

Professional Memberships

  • Association for Computing Machinery

    2018.8

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  • 日本データベース学会

    2013.10

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  • 情報処理学会

    2013.10

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Committee Memberships

  • 情報処理学会MBL研究会   運営委員  

    2024.4   

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  • 情報処理学会BTI研究会   運営委員  

    2022.4 - 2024.3   

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  • ICWSM   Program Committee Member  

    2021 - 2023   

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  • ICMU   Publication Chair  

    2017 - 2021   

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  • 情報処理学会MBL研究会   運営委員  

    2014.4 - 2018.3   

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Papers

  • Estimation of Single and Synergistic Treatment Effects under Multiple Treatments with Deep Neural Networks Reviewed

    Yuki Murakami, Kohsuke Kubota, Takumi Hattori, Keiichi Ochiai

    KDD 2025 3rd Workshop on Causal Inference and Machine Learning in Practice   2025.8

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  • Bayesian time-varying meta-analysis via hierarchical mean-variance random-effects models Reviewed

    Kohsuke Kubota, Shonosuke Sugasawa, Keiichi Ochiai, Takahiro Hoshino

    Japanese Journal of Statistics and Data Science   2025.7

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    Publisher：Springer Science and Business Media LLC  

    Abstract

    Meta-analysis is widely used to integrate results from multiple experiments to obtain generalized insights. Since meta-analysis datasets are often heteroscedastic due to varying subgroups and temporal heterogeneity arising from experiments conducted at different time points, the typical meta-analysis approach, which assumes homoscedasticity, fails to adequately address this heteroscedasticity among experiments. This paper proposes a new Bayesian estimation method that simultaneously shrinks estimates of the means and variances of experiments using a hierarchical Bayesian approach while accounting for time effects through a Gaussian process. This method connects experiments via the hierarchical framework, enabling “borrowing strength” between experiments to achieve high-precision estimates of each experiment’s mean. The method can flexibly capture potential time trends in datasets by modeling time effects with the Gaussian process. We demonstrate the effectiveness of the proposed method through simulation studies and illustrate its practical utility using a real marketing promotions dataset.

    DOI： 10.1007/s42081-025-00311-3

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    Other Link： https://link.springer.com/article/10.1007/s42081-025-00311-3/fulltext.html

  • Causal effect of lottery promotions on post-win payments: Evidence from a large field experiment Reviewed

    Kohsuke Kubota, Keiichi Ochiai, Takahiro Hoshino

    Innovative Marketing   21 ( 2 )   225 - 236   2025.6

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    Publishing type：Research paper (scientific journal)   Publisher：LLC CPC Business Perspectives  

    This study aims to investigate how different incentive sizes in multi-shot lottery promotions, including large and small prizes, influence subsequent consumer payments. Multi-shot lottery promotions allow repeated opportunities to win incentives and are widely used across various industries. Understanding the relationship between the cost of implementing the promotions, such as incentives for winning, and subsequent consumer payments, which drive revenue, is essential for improving cost-effectiveness. This study analyzes large-scale field data from over one million mobile payment service users and employs a stratified randomized experiment method that addresses user-initiated transaction bias. The results show that, during the promotion, winning any prize increases the total transaction amount (by $26.97–$32.80), the number of transactions (by 1.17–1.27), and the average transaction amount (by $8.81–$9.38). Notably, a small prize with a 0.2% return rate yields a return on investment of 1078.8%, surpassing the 5.6% and 8.6% from larger prizes. However, after the promotion, these differences in incentive size have negligible effects on consumer payments. Further analysis, which also examined whether the effects of winning vary depending on users’ frequency of use, reveals that these effects are most pronounced among light users across all outcomes. The findings suggest that allocating multiple small prizes may be more cost-effective than focusing on a few large prizes, especially for lower-usage segments, and offer valuable insights for designing successful multi-shot lottery promotions.

    DOI： 10.21511/im.21(2).2025.18

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  • Bicode：イベントカメラのためのハイブリッド点滅マーカーシステムの提案と評価 Reviewed

    北出 卓也, 山田 渉, 落合 桂一, 今井 倫太

    情報処理学会論文誌   66 ( 6 )   860 - 873   2025.6

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  • Development of a Method to Grasp the Movement of Tourists Using Secure Cross-Organizational Data Collaboration Reviewed

    Keiichi Ochiai, Kazuma Nozawa, Keita Hasegawa, Kazuya Sasaki, Masayuki Terada, Miho Tabuchi, Tetsuro Nakahara, Keisei Iwasaki, Nobumasa Ikemoto, Mariko Tsujii, Yasushi Sasamoto, Masahiro Ota, Kotaro Kobayashi, Hiroyuki Kamiyama

    International Conference on Destinations, Events and Sports (ICDES 2025)   2025.5

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    Authorship：Lead author  

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  • Wald-Differences-in-Differences Estimation without Individual-Level Treatment Data Reviewed

    Takumi Hattori, Kohsuke Kubota, Keiichi Ochiai

    AAAI’25 Workshop on Artificial Intelligence with Causal Techniques   2025.3

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  • 経済的・非経済的行動変容手法の相乗効果を考慮した効果検証のための実験設計方法 Reviewed

    酒井 亮勢, 落合 桂一, 井手 崇博, 大滝 亨, 山田 曉, 鈴木 喬, 佐藤 弘之, 川上 博, 矢野 達也, 大川 博生, 白井 拓也, 星野 崇宏, 荒川 豊

    情報処理学会論文誌デジタルプラクティス   6 ( 2 )   1 - 11   2025.2

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  • マルチエージェント・シミュレーションを用いたイベント観客の分散退場が駅の混雑に与える影響の分析 Reviewed

    中村 佑輔, 石黒 慎, 落合 桂一, 鈴木 喬, 山田 曉

    6 ( 1 )   99 - 107   2025.1

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  • Poster: End-to-End Privacy-Preserving Vertical Federated Learning using Private Cross-Organizational Data Collaboration Reviewed

    Keiichi Ochiai, Masayuki Terada

    Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security   4955 - 4957   2024.12

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3658644.3691383

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3658644.3691383

  • Cross-city-aware Spatiotemporal BERT Reviewed

    Meisaku Suzuki, Yusuke Fukushima, Ryo Koyama, Hayato Kumagai, Tomohiro Mimura, Keiichi Ochiai

    Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge   33 - 36   2024.10

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    Authorship：Last author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3681771.3699915

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3681771.3699915

  • Detection of Non-Designated Evacuation Shelters from Real-Time Population Dynamics Using Autoencoder-Based Anomaly Detection Reviewed

    Keiichi Ochiai, Masayuki Terada, Makoto Hanashima, Hiroaki Sano, Yuichiro Usuda

    ACM Transactions on Spatial Algorithms and Systems   10 ( 3 )   1 - 23   2024.9

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Association for Computing Machinery (ACM)  

    In a disaster situation, local and municipal governments need to distribute relief supplies and provide administrative support to evacuees.Although people are supposed to evacuate to evacuation shelters designated by local governments, some people take refuge at non-designated facilities, called non-designated evacuation shelters , due to unavoidable circumstances such as damage on the access routes to designated evacuation shelters. Upon occurrence of a disaster, therefore, it is necessary for the local governments to quickly find the locations of non-designated evacuation shelters. In this article, we propose a method to detect non-designated evacuation shelters based on autoencoder (AE)-based anomaly detection using real-time population dynamics generated from operation data of cellular phone networks. We assume that reconstruction errors of an AE model include both the errors due to characteristic differences between locations and the errors due to anomalies in population dynamics. Thus, we propose to use the ratio of the reconstruction error before and after the earthquake to determine the threshold of anomaly detection. We evaluate the performance of the proposed method on data from three actual earthquakes in Japan. The evaluation results show that our reconstruction error based approach can achieve better accuracy for the actual disaster data compared to a baseline method that exploits statistical anomaly detection.

    DOI： 10.1145/3643679

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3643679

  • Estimating work engagement from online chat tools Reviewed

    Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai, Shoko Wakamiya, Eiji Aramaki

    EPJ Data Science   13 ( 1 )   2024.9

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    Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    DOI： 10.1140/epjds/s13688-024-00496-9

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    Other Link： https://link.springer.com/article/10.1140/epjds/s13688-024-00496-9/fulltext.html

  • A Hybrid Approach for Paper Source Tracing using Cross Encoder and Hand-Crafted Features Reviewed

    Masato Hashimoto, Yukiko Yoshikawa, Keiichi Ochiai

    KDD Cup 2024 OAG-Challenge Workshop on KDD 2024   2024.8

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  • Bicode: A Hybrid Blinking Marker System for Event Cameras Reviewed

    Takuya Kitade, Wataru Yamada, Keiichi Ochiai, Michita Imai

    2024 IEEE International Conference on Robotics and Automation (ICRA)   2939 - 2945   2024.5

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.1109/icra57147.2024.10611033

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  • 文書生成タスクに対する強化学習応用における文書生成器のサンプルに非依存な報酬関数学習フレームワークの提案 Reviewed

    冨山翔司, 鈴木雅大, 落合桂一, 松尾豊

    電子情報通信学会論文誌 D   J107-D ( 5 )   348 - 358   2024.5

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  • Shadowed Speech: An Approach for Slowing Speech Rate Using Adaptive Delayed Auditory Feedback Reviewed

    Mariko Chiba, Wataru Yamada, Keiichi Ochiai

    Journal of Information Processing   32   938 - 947   2024.1

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    Authorship：Last author   Publishing type：Research paper (scientific journal)   Publisher：Information Processing Society of Japan  

    DOI： 10.2197/ipsjjip.32.938

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  • オートエンコーダを用いた人口異常検知による避難所開設状況把握の能登半島地震での評価

    落合桂一, 寺田雅之, 花島誠人

    情報処理学会研究報告(Web)   2024 ( MBL-113 )   2024

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  • Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations Reviewed

    Keiichi Ochiai, Masayuki Terada, Hiroaki Sano, Makoto Hanashima, Yuichiro Usuda

    Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery   34 - 42   2023.11

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3615886.3627739

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3615886.3627739

  • BaroDepth: A Method of Estimating Depth with Barometric Pressure Sensors in Smartphones Reviewed

    Eiji Kumakawa, Wataru Yamada, Keiichi Ochiai

    Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing   54 - 57   2023.10

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    Authorship：Last author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3594739.3610690

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3594739.3610690

  • Stay Ahead of the Competition: An Approach for Churn Prediction by Leveraging Competitive Service App Usage Logs Reviewed

    Hisao Katsumi, Kohsuke Kubota, Wataru Yamada, Keiichi Ochiai

    Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing   73 - 77   2023.10

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    Authorship：Last author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3594739.3610694

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3594739.3610694

  • Let’s Do as Friends Do: An Approach for Encouraging Social Behavior Transformation Reviewed

    Akinari Sakai, Takashi Hamatani, Keiichi Ochiai, Toru Otaki, Takashi Suzuki, Satoshi Hiyama, Akira Yamada, Takuya Shirai, Yutaka Arakawa

    Behavior Transformation by IoT International Workshop (BTIW2023) in Activity and Behavior Computing (ABC 2023)   2023.9

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  • Word Filtering Approach for Next Product Title Generation Reviewed

    Yusuke Fukushima, Keiichi Ochiai, Yoshitaka Inoue, Masato Hashimoto, Sho Maeoki

    Amazon KDD Cup 2023 Workshop on KDD 2023   2023.8

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  • 顔の角度情報を用いたDeepFake動画の検出手法の提案 Reviewed

    蔭山智, 鈴木雅大, 落合桂一, 松尾豊

    電子情報通信学会論文誌 D   J106-D ( 5 )   317 - 327   2023.5

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  • Bayesian Neural Networkによる景気テキストの不確実性評価と景気指標の開発 Reviewed

    山本裕樹, 鈴木雅大, 落合桂一, 松尾豊

    情報処理学会論文誌   64 ( 4 )   967 - 978   2023.4

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  • 産業間の取引構造を用いた深層学習モデルによる生産指数の予測 Reviewed

    山本裕樹, 落合桂一, 鈴木雅大, 松尾豊

    情報処理学会論文誌   64 ( 1 )   270 - 281   2023.1

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  • Characterizing Generic POI: A Novel Approach for Discovering Tourist Attractions Reviewed

    Hisao Katsumi, Wataru Yamada, Keiichi Ochiai

    Journal of Information Processing   31   265 - 277   2023

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    Authorship：Last author   Publishing type：Research paper (scientific journal)   Publisher：Information Processing Society of Japan  

    DOI： 10.2197/ipsjjip.31.265

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  • Graph Neural Network Tells Us Who is the Communication Enhancer Reviewed

    Hiroaki Tanaka, Yuuma Jitsunari, Wataru Yamada, Keiichi Ochiai, Shoko Wakamiya, Eiji Aramaki

    2022 IEEE International Conference on Big Data (Big Data)   4035 - 4039   2022.12

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.1109/bigdata55660.2022.10020623

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  • Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19 Reviewed

    Keiichi Ochiai, Hiroyuki Sato, Hiroshi Kawakami, Takahiro Ide, Toru Otaki, Akira Yamada, Tatsuya Yano, Hiroki Okawa, Takuya Shirai, Yutaka Arakawa

    2022 IEEE International Conference on Big Data (Big Data)   1661 - 1670   2022.12

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.1109/bigdata55660.2022.10020753

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  • Detection of non-designated shelters by extracting population concentrated areas after a disaster (industrial paper) Reviewed

    Keiichi Ochiai, Masayuki Terada, Makoto Hanashima, Hiroaki Sano, Yuichiro Usuda

    Proceedings of the 30th International Conference on Advances in Geographic Information Systems   1 - 9   2022.11

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3557915.3560985

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3557915.3560985

  • Shadowed Speech: an Audio Feedback System which Slows Down Speech Rate Reviewed

    Mariko Chiba, Wataru Yamada, Keiichi Ochiai

    Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology   1 - 3   2022.10

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    Authorship：Last author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3526114.3558640

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3526114.3558640

  • Anywhere Hoop: Virtual Free Throw Training System Reviewed

    Masayasu Sumiya, Wataru Yamada, Keiichi Ochiai

    Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology   1 - 3   2022.10

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    Authorship：Last author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3526114.3558639

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3526114.3558639

  • Janus Screen: Screen with Switchable Projection Surfaces Using Wire Grid Polarizer Reviewed

    Wataru Yamada, Sawa Korogi, Keiichi Ochiai

    CHI Conference on Human Factors in Computing Systems   1 - 12   2022.4

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    Authorship：Last author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3491102.3517709

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3491102.3517709

  • LSTMモデルによる金融経済レポートの指数化 Reviewed

    山本裕樹, 落合桂一, 鈴木雅大, 松尾豊

    情報処理学会論文誌デジタルプラクティス   3 ( 2 )   93 - 103   2022.4

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  • Location Clustering based on Human Mobility and Its Application for Prediction of Sightseeing Visitors Reviewed

    Keiichi Ochiai, Masayuki Terada

    IPSJ Journal   63 ( 2 )   615 - 623   2022.2

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    Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)  

    DOI： 10.20729/00216271

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  • Analyzing paper citation using causal inference

    OCHIAI Keiichi, MATSUO Yutaka

    Proceedings of the Annual Conference of JSAI   JSAI2022   4N1GS301 - 4N1GS301   2022

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    Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

    Because national science and technology policy decisions can be made based on the impact of each technology, quantifying the impact on research is an important task. Citation counts and impact factors can be used to measure the impact of individual studies. What would have happened without the research, however, is fundamentally a counterfactual phenomenon. Thus, we propose a causal inference approach to quantify the research impact of a specific technical topic. We leverage difference-in-difference to quantify the research impact by applying to bibliometric data. Evaluation results show that deep learning significantly affects computer vision and natural language processing. Besides, deep learning significantly affects cross-field citation especially for speech recognition to computer vision and natural language processing to computer vision.

    DOI： 10.11517/pjsai.jsai2022.0_4n1gs301

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  • Content-based Stock Recommendation Using Smartphone Data Reviewed

    Kohsuke Kubota, Hiroyuki Sato, Wataru Yamada, Keiichi Ochiai, Hiroshi Kawakami

    Journal of Information Processing   30   361 - 371   2022

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    Publishing type：Research paper (scientific journal)   Publisher：Information Processing Society of Japan  

    DOI： 10.2197/ipsjjip.30.361

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  • Memory Efficient Adversarial Attacks on Graphs: A Winning Solution for KDD Cup 2020 Reviewed

    Keiichi Ochiai, Takuya Chida, Keita Yokoyama, Daisuke Koizumi, Hiroaki Tanaka, Akihiro Kawana

    2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)   1 - 6   2021.11

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.23919/icmu50196.2021.9638939

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  • Disaster Damage Estimation from Real-time Population Dynamics using Graph Convolutional Network (Industrial Paper) Reviewed

    Keiichi Ochiai, Hiroto Akatsuka, Wataru Yamada, Masayuki Terada

    Proceedings of the 29th International Conference on Advances in Geographic Information Systems   336 - 345   2021.11

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3474717.3483972

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3474717.3483972

  • Estimating Patient Independence with Sleep Sensors Reviewed

    Eiji Kumakawa, Wataru Yamada, Keiichi Ochiai, Yusuke Fukazawa, Mizuki Shirai, Hirokazu Masuda

    Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers   44 - 45   2021.9

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3460418.3479308

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3460418.3479308

  • Estimating Work Engagement from Online Chat Logs Reviewed

    Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai

    Asian CHI Symposium 2021   70 - 73   2021.5

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    Authorship：Last author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3429360.3468184

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3429360.3468184

  • Stress Estimation Based on Spatiotemporal Analysis of Smartphone Usage and Sensor Data Reviewed

    情報処理学会論文誌   62 ( 4 )   1113 - 1127   2021.4

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    Language：Japanese   Publisher：[出版社不明]  

    近年わが国ではスマートフォンの普及が進んでおり，スマートフォンを用いたヘルスケア技術に期待が高まってきている．スマートフォンはユーザが日々持ち歩き，使われるものであるため，ユーザの心理状態を反映することが期待できる．本研究では，ユーザのスマートフォン利用や持ち歩きによって収集されるログデータについて，時間的観点，空間的観点の両観点からログを分析し，利用者のストレスを推定する手法を提案する．その結果，21人のユーザにおいて，推定精度88.7%で利用者のストレスの高低度合いを推定可能であり，時間だけでなく空間的観点でログを集計することが有効であることを確認した．
    With the spread of smartphones worldwide, there have been growing interests in healthcare using smartphones recently. Smartphones are expected to understand psychological context of those owners because they are usually with owners. In this study, we propose a method to estimate human stress using usage and sensor logs in a smartphone with consideration of spatiotemporal context. To extract spatial contexts of users, the proposed method presents an algorithm of stay detection in most important points that play the role of home and workplace. Our evaluation revealed that the proposed spatial features were effective to extract important contexts related to human stress and successfully combined with the chronological features to improve stress estimation with up to 88.7% accuracy.

    DOI： 10.20729/00210563

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  • サービス向上・社会課題解決に貢献するAI スマートフォンログを用いたストレス・注意機能推定技術の開発

    山本直樹, 濱谷尚志, 落合桂一, 田中茂樹, 深澤佑介

    NTT DOCOMOテクニカル・ジャーナル(Web)   28 ( 4 )   2021

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  • リアルタイムな人口変動を利用した災害規模推定における特徴量の検討

    落合 桂一, 赤塚 裕人, 山田 渉, 寺田 雅之

    情報処理学会 研究報告データベースシステム   2020 ( DBS-172 )   2020.12

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    Authorship：Lead author  

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  • Time-aware GCN: Representation Learning for Mobile App Usage Time-series Data Reviewed

    Kohsuke Kubota, Keiichi Ochiai

    The Second International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’20) on KDD 2020   2020.8

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  • 人の移動データに基づく地域のクラスタリングとその応用

    落合桂一, 寺田 雅之

    マルチメディア、分散協調とモバイルシンポジウム2020論文集   1480 - 1486   2020.6

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    Authorship：Lead author   Language：Japanese  

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  • Gravity of Location-Based Service: Analyzing the Effects for Mobility Pattern and Location Prediction Reviewed

    Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo

    Proceedings of the International AAAI Conference on Web and Social Media   14   476 - 487   2020.5

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    Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Association for the Advancement of Artificial Intelligence (AAAI)  

    Predicting user location is one of the most important topics in data mining. Although human mobility is reasonably predictable for frequently visited places, novel location prediction is much more difficult. However, location-based services (LBSs) can influence users' choice of destination and can be exploited to more accurately predict user location even for new locations. In this study, we assessed the behavior difference for specific LBS users and non-users by using large-scale check-in data. We found a remarkable difference between specific LBS users and non-users (e.g., check-in locations) that had previously not been revealed. Then, we proposed a location prediction method exploiting the characteristics of check-in locations and analyzed how specific LBS usage influences location predictability. We assumed that users who use the same LBS tend to visit similar locations. The results showed that the novel location predictability of specific LBS users is up to 43.9% higher than that of non-users.

    DOI： 10.1609/icwsm.v14i1.7316

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  • 機械学習を用いたツイート解析と統計的異常検知による通信障害検出システム Reviewed

    山田 尚志, 落合 桂一, 横井 靖弘, 神山 剛, 鳥居 大祐

    情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）   10 ( 2 )   1 - 10   2020.5

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  • Evaluation Indicator for Model Inversion Attack Reviewed

    Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai, Rina Okada, Satoshi Hasegawa, Daizo Ikeda

    2nd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining @ KDD 2020   2020.5

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  • C-LIME: A Consistency-Oriented LIME for Time-Series Health-Risk Predictions. Reviewed

    Taku Ito, Keiichi Ochiai, Yusuke Fukazawa

    Knowledge Management and Acquisition for Intelligent Systems - 17th Pacific Rim Knowledge Acquisition Workshop(PKAW)   58 - 69   2020

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    Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

    DOI： 10.1007/978-3-030-69886-7_5

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    Other Link： https://dblp.uni-trier.de/db/conf/pkaw/pkaw2020.html#ItoOF20

  • Smartphone-based Mental State Estimation: A Survey from a Machine Learning Perspective. Invited Reviewed

    Yusuke Fukazawa, Naoki Yamamoto, Takashi Hamatani, Keiichi Ochiai, Akira Uchiyama, Ken Ohta

    J. Inf. Process.   28   16 - 30   2020

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    DOI： 10.2197/ipsjjip.28.16

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  • Generic POI recommendation. Reviewed

    Hisao Katsumi, Wataru Yamada, Keiichi Ochiai

    UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers   46 - 49   2020

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3410530.3414421

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    Other Link： https://dblp.uni-trier.de/db/conf/huc/ubicomp2020ap.html#KatsumiYO20

  • 生活を充実させるAI技術特集 健診データからの健康リスク予測技術の開発

    伊藤拓, 落合桂一, 深澤佑介

    NTT DOCOMOテクニカル・ジャーナル(Web)   28 ( 2 )   2020

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  • Reconstruction of Intermittent Measurement Sensor Data Using Stacked Denoising Autoencoder Reviewed

    61 ( 2 )   351 - 361   2020

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  • Exploiting Graph Convolutional Networks for Representation Learning of Mobile App Usage. Reviewed

    Keiichi Ochiai, Naoki Yamamoto, Takashi Hamatani, Yusuke Fukazawa, Takayasu Yamaguchi

    2019 IEEE International Conference on Big Data (IEEE BigData)   5379 - 5383   2019.12

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    DOI： 10.1109/BigData47090.2019.9006428

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    Other Link： https://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2019.html#OchiaiYHFY19

  • Real-time On-Device Troubleshooting Recommendation for Smartphones. Reviewed

    Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka, Yusuke Fukazawa

    KDD 2019   2783 - 2791   2019.8

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    DOI： 10.1145/3292500.3330669

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    Other Link： https://dblp.uni-trier.de/db/conf/kdd/kdd2019.html#OchiaiSYTF19

  • Local App Classification using Deep Neural Network based on Mobile App Market Data Reviewed

    Keiichi Ochiai, Fatina Putri, Yusuke Fukazawa

    2019 IEEE International Conference on Pervasive Computing and Communications (PerCom   186 - 191   2019.3

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    DOI： 10.1109/percom.2019.8767416

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  • Automated inference of cognitive performance by fusing multimodal information acquired by smartphone. Reviewed

    Takashi Hamatani, Keiichi Ochiai, Akiya Inagaki, Naoki Yamamoto, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, Jun Ota, Yuri Terasawa, Tsukasa Okimura, Takaki Maeda

    Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers   921 - 928   2019

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3341162.3346275

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    Other Link： https://dblp.uni-trier.de/db/conf/huc/ubicomp2019ap.html#HamataniOIYFKKK19

  • 深層学習によるアプリログからの特徴抽出の検討

    落合桂一, 山本直樹, 濱谷尚志, 深澤佑介

    情報処理学会研究報告(Web)   2019 ( DPS-179 )   2019

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  • Fast and Diversity-aware Spatio-temporal Search for Twitter using Pre-search Reviewed

    落合桂一, 落合桂一, 鳥居大祐, 深澤佑介, 松尾豊

    60 ( 2 )   549 - 560   2019

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    J-GLOBAL

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  • 深層学習によるアプリログからの特徴抽出の検討

    落合桂一, 山本直樹, 濱谷尚志, 深澤佑介

    情報処理学会研究報告(Web)   2019 ( ITS-77 )   2019

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  • レコメンドモデルにおけるCTRと相関の高いオフライン検証指標の提案

    伊藤拓, 田中茂樹, 落合桂一, 深澤佑介

    情報処理学会研究報告(Web)   2019 ( ITS-77 )   2019

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  • 時空間的なスマートフォンログ分析に基づく利用者のストレス推定手法

    濱谷尚志, 落合桂一, 山本直樹, 深澤佑介, 木本勝敏, 上西康平, 太田順, 寺澤悠理, 沖村宰, 前田貴記

    情報処理学会研究報告(Web)   2019 ( ITS-79 )   2019

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  • レコメンドモデルにおけるCTRと相関の高いオフライン検証指標の提案

    伊藤拓, 田中茂樹, 落合桂一, 深澤佑介

    情報処理学会研究報告(Web)   2019 ( DPS-179 )   2019

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  • 対人交流を考慮したスマートフォンログによるストレス推定

    霧生和樹, 上西康平, 山本直樹, 濱谷尚志, 落合桂一, 深澤佑介, 木本勝敏, 沖村宰, 寺澤悠理, 前田貴記, 太田順

    情報処理学会研究報告(Web)   2019 ( MBL-90 )   2019

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  • ストレスと注意機能の相互作用を考慮したスマートフォンログからのストレス推定手法

    濱谷尚志, 落合桂一, 山本直樹, 深澤佑介, 木本勝敏, 霧生和樹, 上西康平, 太田順, 寺澤悠理, 沖村宰, 前田貴記

    情報処理学会シンポジウムシリーズ(CD-ROM)   2019 ( 1 )   2019

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  • Analyzing the Relationship between Cognitive Performance and Time to Find Intended Mobile App Reviewed

    Keiichi Ochiai, Naoki Yamamoto, Takashi Hamatani, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, Jun Ota, Yuri Terasawa, Tsukasa Okimura, Takaki Maeda

    Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers   1686 - 1690   2018.10

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    DOI： 10.1145/3267305.3267534

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3267305.3267534

  • Physiological Stress Level Estimation Based on Smartphone Logs Reviewed

    Naoki Yamamoto, Keiichi Ochiai, Akiya Inagaki, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, Jun Ota, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda

    2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)   1 - 6   2018.10

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.23919/icmu.2018.8653590

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  • Arrhythmia Detection from 2-lead ECG using Convolutional Denoising Autoencoders Reviewed

    Keiichi Ochiai, Shu Takahashi, Yusuke Fukazawa

    ACM KDD 2018 Deep Learning Day   2018.8

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  • Pokémon Go Influences Where You Go: Analyzing the Effects of Location-based Services for Location Prediction Reviewed

    Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo

    Asian CHI Symposium: Emerging HCI Research Collection in ACM Conference on Human Factors in Computing Systems (CHI) 2018   2018.4

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  • 深層学習を用いた位置依存性の高いモバイルアプリ抽出手法

    落合桂一, ファティナ プテリ, 深澤佑介

    情報処理学会研究報告(Web)   2018 ( DPS-175 )   2018

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  • 生体情報を教師データとしたスマートフォンログを用いたストレス状態推定

    山本直樹, 落合桂一, 稲垣章弥, 深澤佑介, 木本勝敏, 霧生和樹, 上西康平, 太田順, 沖村宰, 寺澤悠理, 前田貴記

    情報処理学会研究報告(Web)   2018 ( DPS-175 )   2018

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  • Feature Extraction and Arrhythmia Classification from 2-lead ECG using Stacked 1D-convolutional Denoising Autoencoders Reviewed

    59 ( 12 )   2018

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  • Stacked Convolutional Denoising Autoencodersを用いた2誘導心電図からの特徴抽出および不整脈分類

    高橋柊, 高橋柊, 落合桂一, 深澤佑介

    情報処理学会研究報告   2018 ( MBL-88 )   2018

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  • Recognizing whether a person is eating alone or has company by using wearable devices Reviewed

    Kazuki Kiriu, Keiichi Ochiai, Akiya Inagaki, Naoki Yamamoto, Yusuke Fukazawa, Masatoshi Kimoto, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda, Jun Ota

    2017 Tenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)   1 - 2   2017.10

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.23919/icmu.2017.8330088

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  • CamTrackPoint Reviewed

    Wataru Yamada, Hiroyuki Manabe, Hiroyuki Hakoda, Keiichi Ochiai, Daizo Ikeda

    Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers   321 - 324   2017.9

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3123024.3123174

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    Other Link： https://dl.acm.org/doi/pdf/10.1145/3123024.3123174

  • Analysis of Effect of Location-based Service for Human Mobility

    117 ( 71 )   39 - 45   2017.6

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    Language：Japanese  

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  • Recognition of the Social Eating Environment Using a Wearable Device

    117 ( 71 )   151 - 156   2017.6

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    Language：Japanese  

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  • Exraction of Criminal Related Posts from Microblogs based on Rarity and Influence Reviewed

    58 ( 8 )   2017

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  • ユーザ状態推定における推定精度と消費電力の最適化

    山本直樹, 落合桂一, 稲垣章弥, 神山剛, 深澤佑介

    情報処理学会研究報告(Web)   2017 ( MBL-85 )   2017

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  • Point-of-Interest Recommendation using Location-based Service Usage

    落合桂一, 落合桂一, 深澤佑介, 山田渉, 松尾豊

    人工知能学会全国大会論文集(CD-ROM)   31st   2017

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  • Fast Spatial Twitter Search Method Using Location Adaptive Range Query Reviewed

    Keiichi Ochiai, Daisuke Torii, Yusuke Fukazawa, Yutaka Matsuo

    Proceedings of The Ninth International Conference on Mobile Computing and Ubiquitous Networking   2016.10

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  • Multi-label categorizing local event information from micro-blogs Reviewed

    Wataru Yamada, Haruka Kikuchi, Keiichi Ochiai, Shu Takahashi, Yusuke Fukazawa, Hiroshi Inamura, Ken Ohta

    2016 Ninth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)   1 - 6   2016.10

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.1109/icmu.2016.7742090

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  • from NTT DOCOMO テクニカル・ジャーナル Twitterを用いた地域イベント発見技術

    山田 渉, 落合 桂一, 菊池 悠

    NTT技術ジャーナル   28 ( 4 )   33 - 39   2016.4

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    Language：Japanese   Publisher：電気通信協会  

    CiNii Books

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  • Extracting Local Event Information from Micro-blogs Reviewed

    57 ( 1 )   123 - 132   2016.1

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    CiNii Books

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  • POI Official Account Classification Method Using Twitter Posts and Profile Information Reviewed

    9 ( 2 )   11 - 22   2016

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    J-GLOBAL

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  • Extracting local event information from micro-blogs for trip planning. Reviewed

    Wataru Yamada, Daisuke Torii, Haruka Kikuchi, Hiroshi Inamura, Keiichi Ochiai, Ken Ohta

    Eighth International Conference on Mobile Computing and Ubiquitous Networking(ICMU)   7 - 12   2015

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    Publishing type：Research paper (international conference proceedings)   Publisher：IEEE Computer Society  

    DOI： 10.1109/ICMU.2015.7061020

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    Other Link： https://dblp.uni-trier.de/db/conf/icmu/icmu2015.html#YamadaTKIOO15

  • Toponym Disambiguation Method for Microblogs Using Time-varying Location-related Words Reviewed

    7 ( 2 )   51 - 60   2014.6

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    CiNii Books

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  • D-037 Realtime Toponym Disambiguation using Location-related Words

    Ochiai Keiichi, Torii Daisuke

    12 ( 2 )   169 - 170   2013.8

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    Language：Japanese   Publisher：Forum on Information Technology  

    CiNii Books

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  • 生活密着情報を提供するリアルタイム検索サービスの開発

    鳥居 大祐, 赤塚 隼, 落合 桂一

    NTT DoCoMoテクニカル・ジャーナル   20 ( 4 )   12 - 17   2013.1

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    CiNii Books

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  • Computational Lighting Reproduction for Facial Live Video with Rigid Facial Motion Reviewed

    Takao Makino, Koichi Takase, Keiichi Ochiai, Norimichi Tsumura, Toshiya Nakaguchi, Nobutoshi Ojima

    JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY   55 ( 1 )   010503-1 - 010503-7   2011.1

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.2352/J.ImagingSci.Technol.2011.55.1.010503

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  • Efficient acquisition of light transport based on separation of direct and global components. Reviewed

    Keiichi Ochiai, Norimichi Tsumura, Toshiya Nakaguchi, Yoichi Miyake

    SIGGRAPH Asia 2009 Poster   38 - 1   2009

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    Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/1666778.1666816

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    Other Link： https://dblp.uni-trier.de/db/conf/siggraph/siggraph2009asiaposters.html#OchiaiTNM09

  • Efficient acquisition and rendering of transparent and refractive objects using quotient image. Reviewed

    Keiichi Ochiai, Norimichi Tsumura, Toshiya Nakaguchi, Kimiyoshi Miyata, Yoichi Miyake

    Proceedings of the Conference on Three-Dimensional Image Capture and Applications 2008   680502 - 680502   2008

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    Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.765860

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    Other Link： https://dblp.uni-trier.de/db/conf/3dica/3dica2008.html#OchiaiTNMM08

  • Computational lighting reproduction for facial live video with rigid facial motion Reviewed

    Takao Makino, Norimichi Tsumura, Koichi Takase, Ryusuke Honma, Keiichi Ochiai, Nobutoshi Ojima, Toshiya Nakaguchi, Yoichi Miyake

    ACM SIGGRAPH 2007 posters   172 - 172   2007.8

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/1280720.1280907

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  • Improvement in accuracy of flat-bed scanning system for spectral and glossiness recording Reviewed

    Maki Yokoyama, Takahiro Takiguchi, Keiichi Ochiai, Norimichi Tsumura, Toshiya Nakaguchi, Yoichi Miyake

    9th International Symposium on Multispectral Color Science and Application   182 - 188   2007.5

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  • Gonio-spectral based digital archiving and reproduction system for electronic museum Reviewed

    Keiichi Ochiai, Norimichi Tsumura, Toshiya Nakaguchi, Kimiyoshi Miyata, Yoichi Miyake

    ACM SIGGRAPH 2006 Research posters on - SIGGRAPH '06   97 - 97   2006.8

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    DOI： 10.1145/1179622.1179734

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Presentations

  • リアルタイムな人口変動を用いたGraph Convolutional Networkによる災害被害規模推定 Invited

    第21回情報科学技術フォーラム（FIT2022）トップコンファレンスセッション  2022.9 

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  • ドコモR&Dにおけるデータサイエンスの実サービス応用とKDDCUPへの挑戦 Invited

    情報処理学会コンシューマ・デバイス＆システム（CDS）研究会 第31回CDS研究発表会  2021.5 

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  • モバイル空間統計の災害対応への活用 Invited

    2023年度人工知能学会全国大会 OS-8 移動系列のデータマイニングと機械学習  2023.6 

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  • ソーシャルメディアの地理情報との紐付けと行動支援への活用に関する研究 Invited

    落合桂一

    情報処理学会MBL研究会第88回研究発表会  2018.8 

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  • モバイルヘルスケアの実現に向けたデータ分析事例紹介 Invited

    落合桂一

    ネットワークが創発する知能研究会+ネットワーク生態学グループ 合同研究会 (JWEIN+NetEco2018)  2018.8 

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  • NTTドコモにおけるデータサイエンスの取り組み Invited

    電子情報通信学会情報論的学習理論と機械学習 (IBISML) 研究会 第42回研究会  2021.3 

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  • KDD2019におけるNTTドコモのデータサイエンスの取り組み Invited

    落合桂一

    電子情報通信学会通信行動工学研究会（CBE研究会）第16回通信行動工学研究会  2019.9 

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  • 秘匿クロス統計技術による組織間データ連携に基づく垂直連合学習 Invited

    PWS Meetup 2025  2025.3 

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Industrial property rights

  • ユーザ端末

    山本 直樹, 濱谷 尚志, 山田 渉, 落合 桂一

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    Applicant：株式会社NTTドコモ

    Application no：JP2022036122  Date applied：2022.9

    Patent/Registration no：特許第7587055号  Date registered：2024.11 

    J-GLOBAL

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  • 人口状態判定システム及びモデル生成システム

    落合 桂一, 寺田 雅之

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    Applicant：株式会社NTTドコモ

    Application no：JP2022032591  Date applied：2022.8

    Patent/Registration no：特許第7692496号  Date registered：2025.6 

    J-GLOBAL

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  • 情報処理装置

    勝見 久央, 山田 渉, 落合 桂一

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    Applicant：株式会社NTTドコモ

    Application no：JP2021030217  Date applied：2021.8

    Patent/Registration no：特許第7412575号  Date registered：2023.12 

    J-GLOBAL

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  • 認証システム

    箱田 博之, 落合 桂一, 兼田 千雅, 中山 雄二, 川上 博

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    Applicant：株式会社NTTドコモ

    Application no：特願2020-169649  Date applied：2020.10

    Announcement no：特開2022-061611  Date announced：2022.4

    Patent/Registration no：特許第7429177号  Date registered：2024.1 

    J-GLOBAL

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  • 予測モデル生成システム及び予測システム

    落合 桂一, 寺田 雅之

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    Applicant：株式会社NTTドコモ

    Application no：特願2020-103980  Date applied：2020.6

    Announcement no：特開2021-196969  Date announced：2021.12

    Patent/Registration no：特許第7412283号  Date registered：2023.12 

    J-GLOBAL

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  • 特徴抽出装置及び状態推定システム

    落合 桂一, 山本 直樹, 濱谷 尚志, 深澤 佑介

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    Applicant：株式会社NTTドコモ

    Application no：JP2020018349  Date applied：2020.4

    Patent/Registration no：特許第7524168号  Date registered：2024.7 

    J-GLOBAL

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  • 災害規模推定装置

    落合 桂一, 赤塚 裕人, 寺田 雅之, 山口 高康

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    Application no：特願2020-039940  Date applied：2020.3

    Announcement no：特開2021-140654  Date announced：2021.9

    Patent/Registration no：特許第7382859号  Date registered：2023.11 

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  • 情報処理装置

    山本 直樹, 落合 桂一, 濱谷 尚志

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    Application no：JP2020003493  Date applied：2020.1

    Patent/Registration no：特許第7438191号  Date registered：2024.2 

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    落合 桂一, 山本 直樹, 濱谷 尚志, 深澤 佑介

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    Application no：JP2020003059  Date applied：2020.1

    Patent/Registration no：特許第7291779号  Date registered：2023.6 

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  • 情報処理装置

    濱谷 尚志, 落合 桂一, 山本 直樹, 深澤 佑介

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    Application no：JP2020002990  Date applied：2020.1

    Patent/Registration no：特許第7374990号  Date registered：2023.10 

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  • 情報処理装置及びヒント提供方法

    茂呂田 聡, 馬場園 稜, 落合 桂一, 千川 浩平, 林 涼子, 森山 光一

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    Application no：JP2019033242  Date applied：2019.8

    Publication no：WO2020-059428  Date published：2020.3

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  • 情報処理装置及びヒント提供方法

    茂呂田 聡, 馬場園 稜, 落合 桂一, 千川 浩平, 林 涼子, 森山 光一

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    Application no：JP2019033242  Date applied：2019.8

    Patent/Registration no：特許第7061201号  Date registered：2022.4 

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  • 予測解釈装置、及び予測解釈方法

    伊藤 拓, 落合 桂一, 深澤 佑介

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    Application no：JP2019032843  Date applied：2019.8

    Publication no：WO2020-040253  Date published：2020.2

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  • 予測解釈装置、及び予測解釈方法

    伊藤 拓, 落合 桂一, 深澤 佑介

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    Application no：JP2019032843  Date applied：2019.8

    Patent/Registration no：特許第7328974号  Date registered：2023.8 

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  • ユーザ状態推定装置

    濱谷 尚志, 落合 桂一, 山本 直樹, 深澤 佑介, 木本 勝敏, 前田 貴記, 寺澤 悠理, 沖村 宰, 太田 順

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    Application no：特願2019-108692  Date applied：2019.6

    Announcement no：特開2020-201751  Date announced：2020.12

    Patent/Registration no：特許第7297240号  Date registered：2023.6 

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  • 推定処理装置及び推定モデル構築装置

    濱谷 尚志, 落合 桂一, 山本 直樹, 深澤 佑介, 木本 勝敏, 前田 貴記, 寺澤 悠理, 沖村 宰, 太田 順

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    Application no：特願2019-071862  Date applied：2019.4

    Announcement no：特開2020-170382  Date announced：2020.10

    Patent/Registration no：特許第7297236号  Date registered：2023.6 

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  • 評価装置

    落合 桂一, 高橋 柊, 深澤 佑介

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    Application no：特願2020-509627  Date applied：2018.12

    Patent/Registration no：特許第6929445号  Date registered：2021.8 

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  • 判定装置

    落合 桂一, ファティナ プテリ, 深澤 佑介

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    Application no：JP2018044712  Date applied：2018.12

    Patent/Registration no：特許第7270604号  Date registered：2023.4 

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  • 評価装置

    落合 桂一, 高橋 柊, 深澤 佑介

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    Application no：JP2018044714  Date applied：2018.12

    Publication no：WO2019-187358  Date published：2019.10

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  • 判定装置

    落合 桂一, ファティナ プテリ, 深澤 佑介

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    Application no：JP2018044712  Date applied：2018.12

    Publication no：WO2019-187357  Date published：2019.10

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  • 単独推定装置

    山本 直樹, 落合 桂一, 稲垣 章弥

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    Application no：特願2019-519523  Date applied：2018.4

    Patent/Registration no：特許第6723449号  Date registered：2020.6 

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  • 単独推定装置

    山本 直樹, 落合 桂一, 稲垣 章弥

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    Application no：JP2018016351  Date applied：2018.4

    Publication no：WO2018-216413  Date published：2018.11

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  • ユーザ状態推定装置

    山本 直樹, 落合 桂一, 稲垣 章弥

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    Application no：特願2019-522006  Date applied：2018.4

    Patent/Registration no：特許第6764531号  Date registered：2020.9 

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  • ユーザ状態推定装置

    山本 直樹, 落合 桂一, 稲垣 章弥

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    Application no：JP2018015288  Date applied：2018.4

    Publication no：WO2018-221029  Date published：2018.12

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  • ストレス推定システム

    稲垣 章弥, 深澤 佑介, 落合 桂一

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    Application no：JP2018015276  Date applied：2018.4

    Publication no：WO2018-190384  Date published：2018.10

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  • ストレス推定システム

    稲垣 章弥, 深澤 佑介, 落合 桂一

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    Application no：特願2019-512560  Date applied：2018.4

    Patent/Registration no：特許第6676217号  Date registered：2020.3 

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  • アプリ利用推定装置及びルール作成装置

    落合 桂一, 深澤 佑介

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    Application no：特願2019-512529  Date applied：2018.4

    Patent/Registration no：特許第6811849号  Date registered：2020.12 

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  • アプリ利用推定装置及びルール作成装置

    落合 桂一, 深澤 佑介

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    Application no：JP2018015102  Date applied：2018.4

    Publication no：WO2018-190341  Date published：2018.10

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  • 場所人気度推定システム

    榎園 健, 深澤 佑介, 菊地 悠, 落合 桂一, 石黒 慎

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    Application no：特願2019-511171  Date applied：2018.3

    Patent/Registration no：特許第6666521号  Date registered：2020.2 

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  • 場所人気度推定システム

    榎園 健, 深澤 佑介, 菊地 悠, 落合 桂一, 石黒 慎

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    Application no：JP2018012457  Date applied：2018.3

    Publication no：WO2018-186235  Date published：2018.10

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  • 教師データ生成装置

    落合 桂一, 稲垣 章弥, 山本 直樹, 深澤 佑介, 木本 勝敏, 前田 貴記, 沖村 宰, 寺澤 悠理, 太田 順

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    Application no：特願2017-080773  Date applied：2017.4

    Announcement no：特開2018-181004  Date announced：2018.11

    Patent/Registration no：特許第6935863号  Date registered：2021.8 

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  • サーバ装置

    稲垣 章弥, 落合 桂一, 深澤 佑介, 木本 勝敏, 山本 直樹, 前田 貴記, 沖村 宰, 寺澤 悠理, 太田 順

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    Application no：特願2017-080792  Date applied：2017.4

    Announcement no：特開2018-181008  Date announced：2018.11

    Patent/Registration no：特許第6876295号  Date registered：2021.4 

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  • 訪問先推定装置

    山田 将人, 森 陽平, 落合 桂一, ファティナ プテリ, 深澤 佑介

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    Application no：特願2016-218892  Date applied：2016.11

    Announcement no：特開2018-077669  Date announced：2018.5

    Patent/Registration no：特許第6811587号  Date registered：2020.12 

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  • 訪問先推定装置

    落合 桂一, 山田 将人, 森 陽平, ファティナ プテリ, 深澤 佑介

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    Application no：特願2016-207940  Date applied：2016.10

    Announcement no：特開2018-072887  Date announced：2018.5

    Patent/Registration no：特許第6781604号  Date registered：2020.10 

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  • テキスト抽出装置

    榎園 健, 深澤 佑介, 菊地 悠, 落合 桂一, 石黒 慎

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    Application no：特願2016-192702  Date applied：2016.9

    Announcement no：特開2018-055525  Date announced：2018.4

    Patent/Registration no：特許第6656131号  Date registered：2020.2 

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  • エリア決定装置

    落合 桂一, 菊地 悠, 榎園 健, 石黒 慎, 深澤 佑介

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    Application no：特願2016-192705  Date applied：2016.9

    Announcement no：特開2018-055526  Date announced：2018.4

    Patent/Registration no：特許第6654539号  Date registered：2020.2 

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  • 抽出装置

    菊地 悠, 落合 桂一, 榎園 健, 石黒 慎, 深澤 佑介

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    Application no：特願2016-189749  Date applied：2016.9

    Announcement no：特開2018-055346  Date announced：2018.4

    Patent/Registration no：特許第6763732号  Date registered：2020.9 

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  • 検索システム

    榎園 健, 深澤 佑介, 菊地 悠, 落合 桂一, 石黒 慎

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    Application no：特願2016-181704  Date applied：2016.9

    Announcement no：特開2018-045588  Date announced：2018.3

    Patent/Registration no：特許第6695766号  Date registered：2020.4 

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  • ユーザ状態推定装置

    稲垣 章弥, 落合 桂一

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    Application no：特願2016-088237  Date applied：2016.4

    Announcement no：特開2017-199133  Date announced：2017.11

    Patent/Registration no：特許第6662698号  Date registered：2020.2 

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  • 地名表記判定装置

    落合 桂一, 深澤 佑介

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    Application no：特願2016-078723  Date applied：2016.4

    Announcement no：特開2017-191358  Date announced：2017.10

    Patent/Registration no：特許第6679391号  Date registered：2020.3 

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  • 単語判定装置

    落合 桂一, 深澤 佑介

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    Application no：特願2016-078722  Date applied：2016.4

    Announcement no：特開2017-191357  Date announced：2017.10

    Patent/Registration no：特許第6662689号  Date registered：2020.2 

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  • クラスタ選択装置

    榎園 健, 深澤 佑介, 菊地 悠, 落合 桂一, 森 陽平, 山田 渉

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    Application no：特願2015-224608  Date applied：2015.11

    Announcement no：特開2017-091437  Date announced：2017.5

    Patent/Registration no：特許第6570978号  Date registered：2019.8 

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  • 抽出装置

    菊地 悠, 深澤 佑介, 落合 桂一, 榎園 健, 森 陽平, 山田 渉

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    Application no：特願2015-217659  Date applied：2015.11

    Announcement no：特開2017-091052  Date announced：2017.5

    Patent/Registration no：特許第6591258号  Date registered：2019.9 

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  • ユーザ種別判定装置

    落合 桂一, 深澤 佑介, 菊地 悠, 榎園 健, 山田 渉, 森 陽平

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    Application no：特願2015-213973  Date applied：2015.10

    Announcement no：特開2017-084225  Date announced：2017.5

    Patent/Registration no：特許第6573529号  Date registered：2019.8 

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  • 推定装置

    森 陽平, 深澤 佑介, 菊地 悠, 落合 桂一, 榎園 健, 山田 渉

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    Application no：特願2015-184107  Date applied：2015.9

    Announcement no：特開2017-059032  Date announced：2017.3

    Patent/Registration no：特許第6864982号  Date registered：2021.4 

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  • 情報処理装置

    落合 桂一, 深澤 佑介, 菊地 悠, 榎園 健, 森 陽平, 山田 渉

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    Application no：特願2015-183654  Date applied：2015.9

    Announcement no：特開2017-058995  Date announced：2017.3

    Patent/Registration no：特許第6494476号  Date registered：2019.3 

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  • 特徴推定装置

    榎園 健, 深澤 佑介, 菊地 悠, 落合 桂一, 山田 渉, 森 陽平

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    Application no：特願2015-177650  Date applied：2015.9

    Announcement no：特開2017-054301  Date announced：2017.3

    Patent/Registration no：特許第6514997号  Date registered：2019.4 

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  • 情報提示装置

    菊地 悠, 山田 渉, 落合 桂一, 森 陽平

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    Application no：特願2015-062151  Date applied：2015.3

    Announcement no：特開2016-181203  Date announced：2016.10

    Patent/Registration no：特許第6496587号  Date registered：2019.3 

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  • 表示制御装置及び表示制御方法

    落合 桂一, 鳥居 大祐, 菊地 悠, 山田 渉

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    Application no：特願2013-270895  Date applied：2013.12

    Announcement no：特開2015-125667  Date announced：2015.7

    Patent/Registration no：特許第6185384号  Date registered：2017.8 

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  • 画像表示装置およびプログラム

    山田 渉, 菊地 悠, 落合 桂一, 鳥居 大祐

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    Application no：特願2013-240103  Date applied：2013.11

    Announcement no：特開2015-099555  Date announced：2015.5

    Patent/Registration no：特許第6177669号  Date registered：2017.7 

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  • 地図情報提供装置、ユーザ端末、及び地図情報提供方法

    菊地 悠, 山田 渉, 鳥居 大祐, 落合 桂一

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    Application no：特願2013-239181  Date applied：2013.11

    Announcement no：特開2015-099265  Date announced：2015.5

    Patent/Registration no：特許第6167022号  Date registered：2017.6 

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  • コンテンツ制御装置およびプログラム

    菊地 悠, 山田 渉, 鳥居 大祐, 落合 桂一

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    Application no：特願2013-234661  Date applied：2013.11

    Announcement no：特開2015-095137  Date announced：2015.5

    Patent/Registration no：特許第6174974号  Date registered：2017.7 

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  • 情報処理装置及び表示優先度決定方法

    落合 桂一, 鳥居 大祐, 菊地 悠, 山田 渉

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    Application no：特願2013-231139  Date applied：2013.11

    Announcement no：特開2015-090664  Date announced：2015.5

    Patent/Registration no：特許第6184840号  Date registered：2017.8 

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  • 地図画像表示装置

    山田 渉, 鳥居 大祐, 落合 桂一, 菊地 悠

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    Application no：特願2013-195050  Date applied：2013.9

    Announcement no：特開2015-060144  Date announced：2015.3

    Patent/Registration no：特許第6254803号  Date registered：2017.12 

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  • 特定地点名称判定装置、特定地点名称判定方法、及び特定地点名称判定プログラム

    山田 尚志, 落合 桂一, 鳥居 大祐

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    Application no：特願2013-117083  Date applied：2013.6

    Announcement no：特開2014-235597  Date announced：2014.12

    Patent/Registration no：特許第6060039号  Date registered：2016.12 

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  • 測位方法決定装置及び測位方法決定方法

    落合 桂一, 鳥居 大祐

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    Application no：特願2012-262364  Date applied：2012.11

    Patent/Registration no：特許第5491608号  Date registered：2014.3 

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  • 周辺情報検索装置、周辺情報検索方法、及び周辺情報検索プログラム

    鳥居 大祐, 落合 桂一

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    Application no：特願2012-185086  Date applied：2012.8

    Announcement no：特開2014-044486  Date announced：2014.3

    Patent/Registration no：特許第5469218号  Date registered：2014.2 

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  • 共起語を特定する装置およびプログラム

    加藤 剛志, 落合 桂一

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    Application no：特願2012-138820  Date applied：2012.6

    Announcement no：特開2014-002653  Date announced：2014.1

    Patent/Registration no：特許第5964149号  Date registered：2016.7 

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  • テキスト位置判定装置及びテキスト位置判定方法

    落合 桂一, 山本 和徳, 赤塚 隼

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    Application no：特願2011-214949  Date applied：2011.9

    Announcement no：特開2013-077045  Date announced：2013.4

    Patent/Registration no：特許第5731940号  Date registered：2015.4 

    J-GLOBAL

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  • 情報検索端末、情報検索システム及び検索エリア設定方法

    落合 桂一, 長谷川 慎, 山本 亮, 板村 成道

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    Applicant：株式会社NTTドコモ, 株式会社ゼンリンデータコム

    Application no：特願2010-158203  Date applied：2010.7

    Announcement no：特開2012-022405  Date announced：2012.2

    Patent/Registration no：特許第5523229号  Date registered：2014.4 

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  • オブジェクト表示装置及びオブジェクト表示方法

    長谷川 慎, 落合 桂一, 野村 尚央

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    Applicant：株式会社エヌ・ティ・ティ・ドコモ, 株式会社パー七十二プラザ

    Application no：特願2010-130235  Date applied：2010.6

    Announcement no：特開2011-257865  Date announced：2011.12

    Patent/Registration no：特許第4922436号  Date registered：2012.2 

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  • 投稿情報制御装置、投稿情報制御システム及び投稿情報制御方法

    長谷川 慎, 忍頂寺 毅, 落合 桂一, 山内 政一

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    Applicant：株式会社NTTドコモ, アプリックスIPホールディングス株式会社

    Application no：特願2010-114344  Date applied：2010.5

    Announcement no：特開2011-242989  Date announced：2011.12

    Patent/Registration no：特許第5651372号  Date registered：2014.11 

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  • 物体認識装置、物体認識システムおよび物体認識方法

    落合 桂一, 長谷川 慎, 忍頂寺 毅, 山内 政一

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    Applicant：株式会社NTTドコモ, アプリックスIPホールディングス株式会社

    Application no：特願2010-112185  Date applied：2010.5

    Announcement no：特開2011-242861  Date announced：2011.12

    Patent/Registration no：特許第5685390号  Date registered：2015.1 

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  • オブジェクト表示装置、オブジェクト表示システム及びオブジェクト表示方法

    長谷川 慎, 忍頂寺 毅, 落合 桂一, 山内 政一

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    Applicant：株式会社NTTドコモ, アプリックスIPホールディングス株式会社

    Application no：特願2010-103864  Date applied：2010.4

    Announcement no：特開2011-233005  Date announced：2011.11

    Patent/Registration no：特許第5512378号  Date registered：2014.4 

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  • オブジェクト管理装置及びオブジェクト管理方法

    長谷川 慎, 忍頂寺 毅, 落合 桂一

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    Applicant：株式会社エヌ・ティ・ティ・ドコモ

    Application no：特願2009-275745  Date applied：2009.12

    Announcement no：特開2011-118687  Date announced：2011.6

    Patent/Registration no：特許第5340900号  Date registered：2013.8 

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  • 画像合成装置、画像合成方法及び画像合成プログラム

    吉田 健一郎, 小島 伸俊, 津村 徳道, 牧野 貴雄, 高瀬 紘一, 落合 桂一, 三宅 洋一

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    Applicant：花王株式会社, 国立大学法人 千葉大学

    Application no：特願2007-184979  Date applied：2007.7

    Announcement no：特開2009-021964  Date announced：2009.1

    Patent/Registration no：特許第5059503号  Date registered：2012.8 

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Awards

  • 優秀論文賞, 第113回モバイルコンピューティングと新社会システム研究会

    2024.11   情報処理学会   オートエンコーダを用いた人口異常検知による避難所開設状況把握の能登半島地震での評価

    落合 桂一, 寺田 雅之, 花島 誠人

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  • 3rd place

    2024.10   ACM SIGSPATIAL 2024 Human Mobility Prediction Challenge

    Meisaku Suzuki, Yusuke Fukushima, Ryo Koyama, Hayato Kumagai, Tomohiro Mimura, Keiichi Ochiai

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  • 8th place

    2024.8   KDD Cup 2024   Open Academic Graph (OAG) Challeng, Task3 Paper Source Tracing

    Masato Hashimoto, Yukiko Yoshikawa, Keiichi Ochiai

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  • 6th place

    2023.8   KDD Cup 2023   Task 3: Next Product Title Generation

    Yusuke Fukushima, Keiichi Ochiai, Yoshitaka Inoue, Masato Hashimoto, Sho Maeoki

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  • 2022年度 情報処理学会論文誌デジタルプラクティス優秀論文賞

    2023.6   情報処理学会   LSTMモデルによる金融経済レポートの指数化

    山本裕樹, 落合桂一, 鈴木雅大, 松尾豊

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  • 2022年度 情報処理技術研究開発賞

    2023.6   情報処理学会   モバイルデータを対象とした機械学習の応用によるユーザ行動支援と社会課題の解決に向けた研究開発

    落合桂一

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  • 情報処理学会論文誌 特選論文

    2023.4   情報処理学会   Bayesian Neural Networkによる景気テキストの不確実性評価と景気指標の開発

    山本 裕樹, 鈴木 雅大, 落合 桂一, 松尾 豊

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  • 9th place

    2022.8   KDD Cup 2022   ESCI Challenge for Improving Product Search

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  • Specially Selected Paper

    2022.1   IPSJ   Content-based Stock Recommendation Using Smartphone Data

    Kohsuke Kubota, Hiroyuki Sato, Wataru Yamada, Keiichi Ochiai, Hiroshi Kawakami

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  • 情報処理学会論文誌特選論文

    2021.4   情報処理学会   時空間的なスマートフォンログ分析に基づく利用者のストレス推定手法

    濱谷尚志, 落合桂一, 山本直樹,深澤佑介,木本勝敏,上西康平,太田順,寺澤悠理,沖村宰,前田貴記

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  • Best Paper Award

    2021.4   Asian CHI Symposium   Estimating Work Engagement from Online Chat Logs

    Hiroaki Tanaka, Wataru Yamada, Keiichi Ochiai

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  • Regular Machine Learning Competition Track 2, 4th place

    2020.8   KDD Cup 2020   Adversarial Attacks and Defense on Academic Graph

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  • Best Paper Honorable Mentions

    2020.6   ICWSM 2020   Gravity of Location-Based Service: Analyzing the Effects for Mobility Pattern and Location Prediction

    Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo

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  • 優秀プレゼンテーション賞

    2020.6   DICOMO 2020   人の移動データに基づく地域のクラスタリングとその応用

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  • Regular Machine Learning Competition Track Task 2, 1st Prize

    2019.8   KDD Cup 2019   Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction

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  • Best Poster Award

    2016.10   ICMU 2016   Fast Spatial Twitter Search Method Using Location Adaptive Range Query

    Keiichi Ochiai, Daisuke Torii, Yusuke Fukazawa, Yutaka Matsuo

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Teaching Experience

  • プログラミング演習Ⅱ

    2025.4 Institution：横浜市立大学

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  • プログラミング演習Ⅰ

    2025.4 Institution：横浜市立大学

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  • ビッグデータ解析

    2025.4 Institution：横浜市立大学

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  • 非構造化データ特論

    2025.4 Institution：横浜市立大学

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