Learning and Intelligent Systems Research Group

We conduct basic research to analyze a variety of complex phenomena in the real world by fully utilizing statistical learning theory, data mining, data stream analysis, sensor networks, and more.

Group Leader Akinori FUJINO

Research Index

Publications

2025

  1. Eri Nakahara, Kayo Waki, Hisashi Kurasawa, Imari Mimura, Tomohisa Seki, Akinori Fujino, Nagisa Shiomi, Masaomi Nangaku, Kazuhiko Ohe, "Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approach," Heliyon, Volume 11, Issue 1, e40566, January, 2025.

2024

  1. Hideaki Kim, "Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions," Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), December 2024.
  2. Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato, "Understanding the expressivity and trainability of Fourier Neural Operator," Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), December 2024.
  3. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada, "Polyak Meets Parameter-free Clipped Gradient Descent," Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), December 2024.
  4. Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara, "AUC Maximization under Positive Distribution Shift," Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), December 2024.
  5. Jun Muramatsu, “A simple proof of multi-letter converse theorem for distributed lossless source coding,” Proceedings of the 2024 International Symposium on Information Theory and its Applications (ISITA 2024), November 2024.
  6. Lei Sun, Yusuke Tanaka, Tomoharu Iwata, "Meta-Learning under Task Shift," Transactions on Machine Learning Research (TMLR), October 2024.
  7. Hideo Bannai, Mitsuru Funakoshi, Diptarama Hendrian, Myuji Matsuda, Simon J. Puglisi, "Height-bounded Lempel-Ziv encodings" Proceedings of the 32nd Annual European Symposium on Algorithms (ESA 2024), pp.18:1-18:18, 2024.
  8. Yuto Nakashima, Dominik Koppl, Mitsuru Funakoshi, Shunsuke Inenaga, Hideo Bannai, "Edit and Alphabet-Ordering Sensitivity of Lex-parse," Proceedings of the 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024), pp.75:1-75:15, 2024.
  9. Tomoharu Iwata, Yusuke Tanaka, "Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics," Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI 2024), pp.4210-4218, 2024.
  10. Eri Nakahara, Takayuki Oka, Hiroshi Kawaguchi, Kouzou Nakamura, Sakae Tanaka, Noriko Yoshimura, Seiko Itaka, Akihiro Chiba, Hisashi Kurasawa, Akinori Fujino, Nagisa Shiomi, Hirohito Maruyama, Chiaki Horii, Shigeyuki Muraki, "Identifying Factors Associated with Locomotive Syndrome Using Machine Learning Methods: The third survey of the research on osteoarthritis/osteoporosis against disability study," Geriatrics & Gerontology International (GGI), Vol.24, Issue 8, pp.806-813, 2024.
  11. Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, Akihiro Chiba, Akinori Fujino, Katsuyoshi Hayashi, Eri Nakahara, Tsuneyuki Haga, Takashi Noguchi, Kazuhiko Ohe, "Enhancing Type 2 Diabetes Treatment Decisions with Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine-Learning Model Development," The Journal of Medical Internet Research Artificial Intelligence (JMIR AI), Vol.3, e56700, 2024.
  12. Yoichi Chikahara, Kansei Ushiyama, "Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation," Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence (UAI 2024), PMLR 244:749-762, 2024.
  13. Tomoharu Iwata, Ryo Nishikimi, Ryohei Shibue, Masahiro Nakano, Kunio Kashino, Hitonobu Tomoike, "Electrocardiographic Classification using Deep Learning with Lead Switching," Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2024), July 2024.
  14. Jun Muramatsu, "Distributed Source Coding Using Constrained-Random-Number Generators," Proceedings of the 2024 IEEE International Symposium on Information Theory (IEEE ISIT 2024), pp.1676-1681, 2024.
  15. Hiroshi Sawada, Kazuo Aoyama, Kohei Ikeda, "Zeroth-Order Optimization of Optical Neural Networks with Linear Combination Natural Gradient and Calibrated Model," Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC 2024), Article No.23, pp.1-6, 2024.
  16. Tomoharu Iwata, Yoichi Chikahara, "Meta-learning for heterogeneous treatment effect estimation with closed-form solvers," Machine Learning, Vol.113, pp.6093-6114, May 2024.
  17. Takumi Fukami, Tomoya Murata, Kenta Niwa, Iifan Tyou, "DP-Norm: Differential Privacy Primal-Dual Algorithm for Decentralized Federated Learning," IEEE Transactions on Information Forensics and Security, VOl.19, pp.5783-5797, 2024.
  18. Kenta Niwa, Hiro Ishii, Hiroshi Sawada, Akinori Fujino, Noboru Harada, and Rio Yokota, "Natural Gradient Primal-Dual Method for Decentralized Learning," IEEE Transactions on Signal and Information Processing over Networks, Vol.10, pp.417-433, 2024.
  19. Tomoharu Iwata, Atsutoshi Kumagai, "Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation," Neurocomputing, Vol.579, 127441, 2024.
  20. Tomoya Murata, Kenta Niwa, Takumi Fukami, Iifan Tyou, "Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity," Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), May 2024.
  21. Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn, "On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation," Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), May 2024.
  22. Yuya Yoshikawa, Tomoharu Iwata, "Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers," Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), pp.370-378, 2024.
  23. Futoshi Futami, Tomoharu Iwata, "Information-theoretic Analysis of Bayesian Test Data Sensitivity," Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), pp.1099-1107, 2024.
  24. Iifan Tyou, Tomoya Murata, Takumi Fukami, Yuki Takezawa, Kenta Niwa, "A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity," IEEE Transaction on Signals and Information Processing over Networks, Vol.10, pp.94-107, 2024.
  25. Naoki Marumo, Takeru Matsuda, Yuto Miyatake, "Modelling the discretization error of initial value problems using the Wishart distribution," Applied Mathematics Letters, Vol.147, Article 108833, 2024.
  26. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara, "Zero-Shot Task Adaptation with Relevant Feature Information," Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vol.38, No.12, pp.13283-13291, 2024.
  27. Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa, "Optimal Transport with Cyclic Symmetry," Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vol.38, No.14, pp.15211-15221, 2024.
  28. Shunsuke Horii, Yoichi Chikahara, "Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model," Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vol.38, No.18, pp.20420-20429, 2024.

2023

  1. Masakazu Ishihata, "The Bag-Based Search: A meta-algorithm to construct tractable logical circuits for graphs based on tree decomposition," Proceedings of the 16th International Conference on Combinatorial Optimization and Applications (COCOA 2023), pp.337-350, 2023.
  2. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada, "Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence," Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023.
  3. Hiroshi Sawada, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani, "Multi-frame Full-rank Spatial Covariance Analysis for Underdetermined Blind Source Separation and Dereverberation," IEEE Transactions on Audio, Speech and Language Processing, Vol.31, pp.3589-3602, 2023.
  4. Yuki Takezawa, Kenta Niwa, Makoto Yamada, "Communication Compression for Decentralized Learning with Operator Splitting Methods," IEEE Transactions on Signal and Information Processing over Networks, Vol.9, pp.581-595, 2023.
  5. 清水仁, 藤野昭典, 澤田宏, 上田修功, "大規模イベントのためのシャトルバス路線網と時刻表の最適化," 情報処理学会論文誌数理モデル化と応用(TOM), Vol.16, No.2, pp.91-102, 2023. (in Japanese)
  6. Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada, "Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data," Transactions on Machine Learning Research (TMLR), September 2023.
  7. Guoqiang Zhang, Kenta Niwa, Bastiaan Kleijn, "A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range" Transactions on Machine Learning Research (TMLR), September 2023.
  8. Tomoharu Iwata, "Meta-learning representations for clustering with infinite Gaussian mixture models," Neurocomputing, Vol.549, Article 126423, 2023.
  9.  
  10. Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn, "Lookahead Diffusion Probabilistic Models for Refining Mean Estimation," Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1421-1429, 2023.
  11.  
  12. Jun Muramatsu, “Channel codes for relayless networks with general message access structure,” Proceedings of the 2023 IEEE Information Theory Workshop, pp.521-525, 2023.
  13.  
  14. Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada. Yoshitaka Taniyasu, Hideki Yamamoto, "Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean," APL Machine Learning, Vol.1, Issue 2, 2023.
  15.  
  16. Somanath Pradhan, Guoqiang Zhang, Sipei Zhao, Kenta Niwa, W. Bastiaan Kleijn, "On eigenvalue shaping for two-channel decentralized active noise control systems," Applied Acoustics, Vol.205, 2023.
  17. Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, Bastiaan Kleijn, "CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph," IEEE Transactions on Signal and Information Processing over Networks, Vol.9, pp.242-257, 2023.
  18.  
  19. Phuc Duc Nguyen, Yoshifumi Shiraki, Kenji Ishikawa, Jun Muramatsu, Noboru Harada, Takehiro Moriya, "Distribution Matching for Dimming Control in Visible-Light Region-of-Interest Signaling," IEEE Photonics Journal, Vol.15, Issue 1, 2023.
  20.  
  21. Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto, "School Families: A New Formulation of School District Planning Problem," Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS-56), pp.5122-5131, 2023.

2022

      
  1. Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima, "Making Individually Fair Predictions with Causal Pathways," Data Mining and Knowledge Discovery, Special Issue on Bias and Fairness, 2022.
  2.                
  3. Jun Muramatsu, "On the achievability of interference channel coding," Proceedings of the 2022 International Symposium on Information Theory and its Applications (ISITA 2022), 2022.
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  5. Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, Futoshi Naya, Naonori Ueda, "District Characteristics Analysis with Regional Garbage Amount Estimation by Using Vehicle-Mounted Motion Sensors," 2022 IEEE International Smart Cities Conference (ISC2), 2022.
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  7. Hideo Bannai, Keisuke Goto, Masakazu Ishihata, Shunsuke Kanda, Dominik Koppl, Takaaki Nishimoto, "Computing NP-hard Repetitiveness Measures via MAX-SAT," 30th Annual European Symposium on Algorithms, ESA 2022, 12:1-12:16, 2022.
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  9. Hisashi Kurasawa, Kayo Waki, Akihiro Chiba, Tomohisa Seki, Katsuyoshi Hayashi, Akinori Fujino, Tsuneyuki Haga, Takashi Noguchi,Kazuhiko Ohe, "Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development," JMIR Bioinformatics and Biotechnology, Vol 3, No 1, e37951, 2022.
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  11. Yuki K. Wakabayashi, Takuma Otsuka, Hiroshi Sawada, Yoshitaka Taniyasu, Hideki Yamamoto, "Bayesian optimization with experimental failure for high-throughput materials growth," npj Computational Materias, volume 8, Article number 180, 2022.
  12. Guoqiang Zhang, Kenta Niwa, Bastiaan Kleijn, "Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks," IEEE Transactions on Signal and Information Processing over Networks, Vol.8, pp.228-243, 2022.
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  14. Yoichi Chikahara, Makoto Yamada, Hisashi Kashima, "Feature Selection for Discovering Distributional Treatment Effect Modifiers," Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR 180:400-410, 2022.
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  16. Jun Muramatsu, "Binary Polar Codes Based on Bit Error Probability," IEEE International Symposium on Information Theory, ISIT 2022,pp.2148-2153, 2022.
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  18. Masakazu Ishihata, Fumiya Tokumasu, "Solving and Generating Nagareru Puzzles," 20th International Symposium on Experimental Algorithms, SEA 2022, 2:1-2:17, 2022.
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  20. Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto, "Fast Solution for Evacuation Shelter Closing Problem," 2022 Workshop on Scheduling and Planning Applications woRKshop (SPARK) in ICAPS 2022.
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  22. Duc-Phuc Nguyen, Yoshifumi Shiraki, Jun Muramatsu, Takehiro Moriya, "A Probabilistic Shaping Approach for Optical Region-of-Interest Signaling," IEEE Photonics Technology Letters, vol.34, no.6, pp.309-312, 2022.
  23. 清水仁, 岩田具治, 諏訪博彦, 安本慶一, "最小費用流を用いた避難所間の誘導," 電子情報通信学会論文誌D, Vol.J105-D, No.3, pp.175-185, 2022. (in Japanese)
  24. Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto, "Evacuation Shelter Scheduling Problem," Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS-55), 2022.

2021

  1. Kazuo Aoyama, Hiroshi Sawada, "Acceleration method for learning fine-layered optical neural networks," Proceedings of the 40th IEEE/ACM International Conference on Computer Aided Design (ICCAD 2021), 2021.
  2. Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Keisuke Fujii, Masakazu Ishihata, Takuya Maekawa, Ken Yoda, Yasuo Tabei, "Frechet and Hausdorff Kernels for Trajectory Data Analysis," Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '21), pp. 221-224, 2021.
  3. Kenta Niwa, Guoqiang Zhang, Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino, "Asynchronous Decentralized Optimization with Implicit Stochastic Variance Reduction," Proceedings of the 38th International Conference on Machine Learning (ICML 2021), pp. 8195-8204, 2021.
  4. Jun Muramatsu, "Successive-cancellation decoding of binary polar codes based on symmetric parametrization," Proceedings of the 2021 IEEE International Symposium on Information Theory, pp. 2364-2368, 2021.
  5. Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, "CPI-model based analysis of sparse k-means clustering algorithms," International Journal of Data Science and Analytics, Springer, Vol.12, pp. 229-248, 2021.
  6. Kyohei Atarashi, Masakazu Ishihata, "Vertical Federated Learning for Higher-order Factorization Machines," Proc. of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Part II, pp. 346-357, 2021.
  7. Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima, "Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint," Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS-21), pp. 145-153, 2021.
  8. 清水仁, 松林達史, 藤野昭典, 澤田宏, "アンケートに基づく遊園地シミュレーションによる来園者余剰の最大化," 電子情報通信学会論文誌D, Vol. J104-D, No. 3, Mar. 2021. (in Japanese)

2020

  1. Hitoshi Shimizu, Takanori Hara, Tomoharu Iwata, "Deep Reinforcement Learning for Pedestrian Guidance," In the 23rd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2020), Nov. 2020.
  2. Yasue Kishino, Yoshinari Shirai, Yutaka Yanagisawa, Kazuya Ohara, Shin Mizutani, Takayuki Suyama, "Presenting human contact points on object surfaces by using heat traces to support disinfect activities," In the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020), COVID-19 Response Research, Nov. 2020.
  3. 白井良成, 松田昌史, 藤田早苗, 小林哲生, 岸野泰恵, " World Wide Web のゲーム化とその効用," 情報処理学会論文誌, Vol. 61, No. 11, pp. 1660-1679, 2020. (in Japanese)
  4. Kosuke Takiguchi, Yuki K. Wakabayashi, Hiroshi Irie, Yoshiharu Krockenberger, Takuma Otsuka, Hiroshi Sawada, Sergey A. Nikolaev, Hena Das, "Quantum transport evidence of Weyl fermions in an epitaxial ferromagnetic oxide," Nature Communications, 11, 4969, 2020.
  5. Kohei Shinohara, Atsuto Seko, Takashi Horiyama, Masakazu Ishihata, Junya Honda and Isao Tanaka, "Enumeration of nonequivalent substitutional structures using advanced data structure of binary decision diagram," J. Chem. Phys., 153, 104109, 2020.
  6. Soma Yokoi, Takuma Otsuka, Issei Sato, "Weak approximation of transformed stochastic gradient MCMC," Machine Learning, Vol.109, pp. 1903-1923, 2020.
  7. Kenta Niwa, Hironobu Chiba, Noboru Harada, Guoqiang Zhang, Bastiaan Kleijn, "Microphone Array Wiener Post Filtering Using Monotone Operator Splitting," IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 2036-2046, 2020.
  8. Kenta Niwa, Noboru Harada, Guoqiang Zhang, Bastiaan Kleijn, "Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data," Proc. of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), pp. 668-678, 2020.
  9. Hitoshi Shimizu, Tatsushi Matsubayashi, Akinori Fujino, Hiroshi Sawada, "Theme Park Simulation based on Questionnaires for Maximizing Visitor Surplus," Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '20), pp. 2002-2004, May 2020.
  10. Hirofumi Suzuki, Masakazu Ishihata, Shin-Ichi Minato, "Designing Survivable Networks with Zero-suppressed Binary Decision Diagrams," The 14th International Conference and Workshop on Algorithms and Computation (WALCOM-2020), April, 2020.
  11. 尾崎常祐, 布谷伸浩, 藤野昭典, 上田修功, 石川光映, "機械学習を用いたInP 変調器の作製プロセス適正化と消光比改善," 電子情報通信学会論文誌C, Vol.J103-C, No.3, pp. 201-202, 2020. (in Japanese)
  12. Tomoharu Iwata, Akinori Fujino, Naonori Ueda, "Semi-supervised Learning for Maximizing the Partial AUC," AAAI, 2020.

2019

  1. Shigeki Miyake, Jun Muramatsu, "Decoding via sampling," IEICE Transactions on Fundamentals, Vol. E102-A, No. 11, pp. 1512-1523, Nov. 2019.
  2. Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda, "Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation," Proc. of 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 1981-1988, 2019.
  3. Yoshinari Shirai, Yasue Kishino, Yutaka Yanagisawa, Shin Mizutani, Takayuki Suyama, "Building Human Computation Space on the WWW: Labeling Web Contents through Web Browsers," Proc. of The seventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP2019), 2019.
  4. Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu, Hideki Yamamoto, "Machine-learning-assisted thin-film groth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films," APL Materials 7, 101114, 2019.
  5. Jun Muramatsu, "A review of secret key distribution based on bounded observability," Proceedings of International Symposium on Mathematics, Quantum Theory, and Cryptgraphy, pp. 48-60, 2019.
  6. 清水仁, 松林達史, 納谷太, 澤田宏, "遊園地におけるアトラクション選択モデルとそのパラメータ推定手法," 人工知能学会論文誌, Vol. 34, No. 5, wd-B_1-8, 2019. (in Japanese)
  7. 松林達史, 清武寛, 幸島匡宏, 戸田浩之, 田中悠介, 六藤雄一, 塩原寿子, 宮本勝, 清水仁, 大塚琢馬, 岩田具治, 澤田宏, 納谷太, 上田修功, "人流における学習型誘導技術のデータ同化," 人工知能学会論文誌, Vol. 34, No. 5, wd-F_1-11, 2019. (in Japanese)
  8. 小向航平, 水谷伸, 岸野泰恵, 柳沢豊, 白井良成, 須山敬之, 大村廉, 澤田宏, 納谷太, "分類器の継続更新可能な分散認識センサネットワークのためのオートエンコーダによる通信方式," 情報処理学会論文誌, Vol. 60, No. 10, pp. 1-16, 2019. (in Japanese)
  9. Yoshinari Shirai, Yasue Kishino, Takayuki Suyama, Shin Mizutani, "PASNIC: a thermal based privacy-aware sensor node for image capturing," UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 202-205, 2019.
  10. Masakazu Ishihata, Takanori Maehara, "Exact Bernoulli Scan Statistics using Binary Decision Diagrams," The 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), August, 2019.
  11. Jun Muramatsu, "Successive-cancellation decoding of linear source code," Proceedings of the 2019 IEEE Information Theory Workshop, 2019.
  12. Jun Muramatsu, Shigeki Miyake, "Stochastic Decision with Stationary Memoryless Sequence," Proceedings of the 2019 IEEE International Symposium on Information Theory, pp. 902-906, 2019.
  13. Hiroshi Sawada, Kazuo Aoyama, "Similarity search-based blind source separation," ICASSP, 2019.
  14. Tomoharu Iwata, Hitoshi Shimizu, "Neural Collective Graphical Models for Estimating Spatio-temporal Population Flow from Aggregated Data," AAAI, 2019.
  15. Jun Muramatsu, Shigeki Miyake, "Channel Code Using Constrained-Random-Number Generator Revisited," IEEE Trans. Information Theory, Vol. 65, No. 1, pp. 500-508, 2019.

2018

  1. 近原鷹一, 藤野昭典, "教師あり学習に基づくGranger causalityの推定,'' 情報処理学会論文誌:数理モデル化と応用(TOM), Vol.11, No.3, 58-73, 2018. (in Japanese)
  2. Hirofumi Suzuki, Masakazu Ishihata, Shin-ichi Minato, "Exact Computation of Strongly Connected Reliability by BDDs," Proc. of the 12th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2018), LNCS 11346, Springer, 281-295, 2018.
  3. Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, "Accelerating a Lloyd-type k-Means Clustering Algorithm with Summable Lower Bounds in a Lower-Dimensional Space," IEICE Trans. Inf. & Syst., Vol. E101-D, No. 11, pp. 2773-2782, Nov. 2018.
  4. Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada, "Improving route traffic estimation by considering staying population," Proc. of the 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2018), 630-637, 2018.
  5. Jun Muramatsu, Shigeki Miyake, "Multi-terminal codes using constrained-random-number generators," Proceedings of the 2018 International Symposium on Information Theory and its Applications (ISITA 2018), pp. 612-616, 2018.
  6. Kazunori Fujimoto, Jun Muramatsu, Masaaki Nagahara, "Dinamical model of overconfidence phenomena due to ZE-type confrmation bias," The Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018), pp. 2208-2213, 2018.
  7. Takayuki Suyama, Yasue Kishino, Yoshinari Shirai, Shin Mizutani, Hiroshi Sawada, "Interpolation of Missing Data in Sensor Networks Using Nonnegative Matrix Factorization," Proc. of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18), 263-266, 2018.
  8. Yasue Kishino, Yoshinari Shirai, Kou Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda, "Regional Garbage Amount Estimation and Analysis using Car-Mounted Motion Sensors," Proc. of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18), 110-113, 2018.
  9. Yoshinari Shirai, Yasue Kishino, Shin Mizutani, Yutaka Yanagisawa, Takayuki Suyama, Takuma Otsuka, Tadao Kitagawa, Futoshi Naya, "Incremental Environmental Monitoring for Revealing the Ecology of Endangered Fish," IEICE Transactions on Communications, Vol.E101-B, No.10, pp.2070--2082, Oct. 2018.
  10. Yuki K. Wakabayashi, Takuma Otsuka, Yoshitaka Taniyasu, Hideki Yamamoto, Hiroshi Sawada, "Improved adaptive sampling method utilizing Gaussian process regression for prediction of spectral peak structures," Applied Physics Express, 11, 112401, 2018.
  11. Yoichi Chikahara, Akinori Fujino, "Causal Inference in Time Series via Supervised Learning," Proc. of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2042-2048, 2018.
  12. Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato, "Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams," The 21st International Conference on Artificial Intelligence and Statistics (AISTATS-2018), April, 2018.
  13. Yuki Yamagishi, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, "Pivot generation algorithm with a complete binary tree for efficient exact similarity search," IEICE Transactions on Information and Systems, Vol. E101-D, no.1, pp.142-151, 2018.

2017

  1. Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda, "Multi-output Polynomial Networks and Factorization Machines," in NIPS 2017.
  2. Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda, "Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors," IEEE Internationa Conference on Big Data, International Workshops on Smart Citied: People, Technology and Data (IWSC'17), pp. 4098-4102, 2017.
  3. 白井良成,岸野泰恵,水谷 伸,納谷 太,柳沢 豊: 探索的環境センシング─実証実験に基づくモデル化と運用指針─, 情報処理学会デジタルプラクティス, Vol. 9, No. 3, pp. 253--265, 2017. (in Japanese)
  4. Kishino, Y. Yanagisawa, Y. Shirai, S. Mizutani, T. Suyama and F. Naya: Agile Environmental Monitoring Exploits Rapid Prototyping and In Situ Adaptation, in IEEE Pervasive Computing, vol. 16, no. 2, pp. 61--71, 2017.
  5. Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Futoshi Naya, Naonori Ueda, Yin Chen, Takuro Yonezawa, Jin Nakazawa: Detecting Garbage Collection Duration Using Motion Sensors Mounted on a Garbage Truck Toward Smart Waste Management, The Third International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems(SPWID2017), 2017.
  6. J. Muramatsu and S. Miyake, "On the error probability of stochastic decision and stochastic decoding,"Proceedings of the 2017 IEEE International Symposium on Information Theory, pp. 1643-1647, 2017.
  7. J. Muramatsu and S. Miyake, "Concept of CoCoNuTS," Proceedings of the 10th Asia-Europe Workshop on Information Theory, p. 4, 2017.
  8. T. Ito, H. Koizumi, N. Suzuki, I. Kakesu, K. Iwakawa, A. Uchida, T. Koshiba, J. Muramatsu, K.Yoshimura, M. Inubushi, and P. Davis, "Fast oblivious transfer for secure computation using optical correlated randomness," Scientific Reports, pp. 1-12, 2017.
  9. J. Muramatsu and S. Miyake, "Uniform random number generation and secret key agreement for general sources by using sparse matrices," Mathematical Modeling for Next-Generation Cryptography, Springer, pp. 177-198, 2017.
  10. Yasue Kishino, Yutaka Yanagisawa, Yoshinari Shirai, Takayuki Suyama, Futoshi Naya, "Agile Environmental Monitoring: rapid prototyping and in-situ adaptation of smart environmental sensor networks," IEEE Pervasive Computing Magazine, Vol. 16, Issue 2, pp. 61-71, 2017.
  11. Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda," Estimating People Flow from Spatio-temporal Population Data via Collective Graphical Mixture Models. ACM Transactions on Spatial Algorithms and Systems (TSAS) Volume 3, Issue 1, Article No.2, 2017.
  12. 清水仁, 松林達史, 納谷太, "混雑飽和状態の遊園地における待ち時間削減手法のシミュレーション評価," 人工知能学会論文誌, Vol.32, No.5, p. AG16-F_1-8, 2017. (in Japanese)

2016

  1. Kurasawa, H., Hayashi, K., Fujino, A., Takasugi, K., Haga, T., Waki, K., Noguchi, T., and Ohe, K. (2016). Machine learning-based prediction of a missed scheduled clinical appointment by patients with diabetes. Journal of Diabetes Science and Technology, 10(3), 730-736.
  2. Fujino, A. and Ueda, N. (2016). A Semi-supervised AUC Optimization Method with Generative Models. Proc. of the 16th IEEE International Conference on Data Mining (ICDM 2016), 883-888.
  3. Blondel, M., Fujino, A., Ueda, N., and Ishihata, M. (2016). Higher-Order Factorization Machines. Proc. of the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 3351-3359.
  4. Blondel, M., Ishihata, M., Fujino, A., and Ueda, N. (2016). Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. Proc. of the 33rd International Conference on Machine Learning (ICML 2016), 850-858.
  5. J. Muramatsu and S. Miyake, "Fundamental limits are achievable with countable alphabet," in Proceedings of the 2016 International Symposium on Information Theory and its Applications, pp. 573-577, 2016.
  6. J. Muramatsu and S. Miyake, "Construction of a channel code from an arbitrary source code with side information," Proceedings of the 2016 International Symposium on Information Theory and its Applications,pp. 176-180, 2016.
  7. K. Fujimoto and J. Muramatsu, "Active Bayesian observer correcting overconfidence effects due to E-type confirmatory bias," Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pp.1443-1448, 2016.
  8. 尾原 和也, 前川 卓也, 岸野 泰恵, 白井 良成, 納谷 太: Wi-Fi電波を用いたデバイスフリーパッシブ位置推定モデルの転移方法, 情報処理学会論文誌,Vol.57, No.2, pp. 406--415, 2016. (in Japanese)
  9. Yoshinari Shirai, Yasue Kishino, Futoshi Naya, Yutaka Yanagisawa: Toward On-Demand Urban Air Quality Monitoring using Public Vehicles, 2nd International Workshop on Smart Cities: People, Technology and Data(IWSC'16), pp. 1-6, 2016.
  10. 水谷 伸,白井 良成,岸野 泰恵,柳沢 豊,大津賀 真之,北川 忠生,納谷 太:絶滅危惧の魚の繁殖生態解明に向けたオンライン画像行動解析の予備的検討,マルチメディア,分散,協調とモバイル(DICOMO2016)シンポジウム, pp. 572-576, 2016. (in Japanese)
  11. 白井良成,岸野泰恵,納谷太,柳沢豊,米澤拓郎,中澤仁,徳田英幸:公共車両を利用した大気状況センシングの試み,電子情報通信学会技術研究報告, Vol. 115, No. 393, pp. 1-5, 2016. (in Japanese)
  12. 近原鷹一, 藤野昭典, 教師あり学習に基づく2変量時系列の因果推論電子情報通信学会技術研究報告, vol.116, no.121, IBISML2016-2, pp.189-194, July 2016 (in Japanese)

2015

  1. Tomoharu Iwata, James Lloyed, Zoubin Ghahramani, "Unsupervised Many-to-Many Object Matching for Relational Data," IEEE Transactions on Pattern Analysis and Machine Intelligence.
  2. Jun Muramatsu, Kazuyuki Yoshimura, Peter Davis, Atsushi Uchida, Takahisa Harayama, "Secure Key Distribution Based on Bounded Observability," Proceedings of the IEEE, vol. 103, no. 10, pp. 1762-1780, 2015.
  3. Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, and Hiroshi Sawada, "Real-time and Proactive Navigation via Spatio-temporal Prediction," The First International Workshop on Smart Cities: People, Technology and Data (in conjunction with UbiComp2015).
  4. Yasue Kishino, Yutaka Yanagisawa, Yoshinari Shirai, Shin Mizutani, Futoshi Naya, Tadao Kitagawa, "A Habitat-monitoring System for an Endangered Fish using a Sensor Network," Ubicomp 2015 Adjunct Proceedings.
  5. Mathieu Blondel, Akinori Fujino, Naonori Ueda, "Convex Factrization Machines," Proc. of the 25th European Conference on Machine Learning and Principles and the 18th Practice of Knowledge Discovery in Databases (ECML PKDD 2015) , 19-35.
  6. Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata, "Higher Order Fused Lasso for Supervised Learning with Grouped Variables," Proc. of ECML/PKDD2015.
  7. Jun Muramatsu, "Variable-length Lossy Source Code Using a Constrained-Random-Number Generator," IEEE Trans. Inf. Theory, vol. 61, no. 6, pp. 3574-3592, 2015.
  8. Kazuya Ohara, Takuya Maekawa, Yasue Kishino, Yoshinari Shirai, Futoshi Naya, "Transferring Positioning Model for Device-free Passive Indoor Localization," Proc. of Ubicomp2015.
  9. Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Ghosh, Rafiqul Islam, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima, "Predictive Approaches for Low-cost Preventive Medicine Program in Developing Countries," Proc. of KDD2015.
  10. Mathieu Blondel, Akio Onogi, Hiroyoshi Iwata, Naonori Ueda, "A Ranking Approach to Genomic Selection," PLOS ONE.
  11. S. Miyake and J. Muramastu, "Index coding over correlated sources," Proceedings of the 2015, IEEE International Symposium on Network Coding, pp. 36-40, 2015.
  12. J. Muramatsu, "Variable-length lossy compression algorithms based on constrained random numbers, "Proceedings of the 2015 IEEE Data Compression Conference, p. 463, 2015.

2014

  1. 吉川 友也, 岩田 具治, 澤田 宏, "グループ推薦のための非線型行列分解," 人工知能学会論文誌, Vol.30, No.2, pp.485--490, 2015. (in Japanese)
  2. Tomoharu Iwata, Makoto Yamada, "Multi-view Anomaly Detection via Probabilistic Latent Variable Models," arXiv:1411.3413, 2015.
  3. Yoshiaki Bando, Takuma Otsuka, Katsutoshi Itoyama, Kazuyoshi Yoshii, Yoko Sasaki, Satoshi Kagami, Hiroshi G. Okuno, "Challenges in Deploying a Microphone Array to Localize and Separate Sound Sources in Real Auditory Scenes," ICASSP2015.
  4. Kazuo Aoyama, Atsunori Ogawa, Takashi Hattori, Takaaki Hori, "Double-layer Neighborhood Graph based Similarity Search for Fast Query-by-example Spoken Term Detection," ICASSP2015.
  5. Tomohiro Iwata, Koh Takeuchi, "Cross-domain recommendation without shared users or items by sharing latent vector distributions," AISTATS2015, pp. 379--387, 2015.
  6. Takuma Otsuka, Katsuhiko Ishiguro, Hiroshi Sawada, Hiroshi Okuno, "Bayesian Nonparametrics for Microphone Array Processing," IEEE Global SIP. 2014.
  7. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, "Collaboration on Social Media: Analyzing Successful Projects on Social Coding," arXiv:1408.6012, 2014.
  8. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, "Latent Support Measure Machines for Bag-of-Words Data Classification," NIPS2014, Montreal, Canada, December 2014.
  9. 前川卓也, 岸野泰恵, 柳沢豊, 櫻井保志, "乾電池型センサノードを用いた携帯型電化製品の利用の認識," 情報処理学会論文誌, Vol.56, No.1, pp. 229--238, 2015.01.15. (in Japanese)
  10. 前川卓也, 岸野泰恵, 柳沢豊, 櫻井保志, "手に装着したコイルを用いた携帯型電化製品の利用の認識," 情報処理学会論文誌, Vol.56, No.1, pp. 239--249, 2015.01.15. (in Japanese)
  11. Takuma Otsuka, Katsuhiko Ishiguro, Takuya Yoshioka, Hiroshi Sawada, Hiroshi G. Okuno, "Multichannel Sound Source Dereverberation and Separation for Arbitrary Number of Sources based on Bayesian Nonparametrics," IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, No. 12, pp. 2218-2232, December, 2014.
  12. Masakazu Ishihata, Tomoharu Iwata, "Generating Structure of Latent Variable Models for Nested Data," in Proceedings of the 30th conference on Uncertainty in Artificial Intelligence (UAI-2014), July 2014.
  13. Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda, "Rectangular tiling process," In Proceedings of IEEE International Conference on Machine Learning (ICML2014), pp. 361-369, 2014.
  14. Yutaka Yanagisawa, Yasue Kishino, Takayuki Suyama, Futoshi Naya, Tsutomu Terada, Masahiko Tsukamoto, "CILIX: a CIL Virtual Machine for Wireless Sensor Devices," IEEE PDPTA'14, 2014.
  15. Tomohiro Warashina, Kazuo Aoyama, Hiroshi Sawada, Takashi Hattori, "Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets," IEICE Trans. Inf. and Syst., Vol.E97-D, No.12, pp. 3142-3154, 2014.12.1.
  16. Akisato Kimura, Kevin Duh, Tsutomu Hirao, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung, "Creating stories from socially curated microblog messages," IEICE Transactions on Information and Systems, Vol. E97-D, No. 6, pp.1557-1566, 2014.
  17. Makoto Yamada, Leonid Sigal, Michalis Raptis, "Covariate Shift Adaptation for Discriminative 3D Pose Estimation," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), February 1, 2014.
  18. Tsutomu Terada, Seiji Takeda, Masahiko Tsukamoto, Yutaka Yanagisawa, Yasue Kishino, Takayuki Suyama, "On achieving dependability for wearable computing by device bypassing," in Proceedings of the 5th Augumented Human International Conference (AH'14), Article No.8, March 2014.
  19. 吉川友也, 岩田具治, 澤田宏, "ソーシャルメディア上の協働: ソーシャルコーディングにおける成功するプロジェクトの要因分析," 日本データベース学会論文誌, Vol.12, No.3, Feb. 2014. (in Japanese)

2013

  1. Makoto Yamada, Leonid Sigal, Michalis Raptis, Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
  2. Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada, "Change-Point Detection with Feature Selection in High-dimensional Time-Series Data," In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2013).
  3. Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama, "Change-point detection in time-series data by relative density-ratio estimation," Neural Networks, vol.43, pp72-83, 2013.
  4. Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama, "Relative Density-Ratio Estimation for Robust Distribution Comparison," Neural Computation vol. 25, no. 5, pp. 1324-1370, 2013.
  5. Akisato Kimura, Ryo Yonetani, Takatsugu Hirayama, "Computational models of human visual attention and their implementations: A survey," IEICE Transactions on Information and Systems, Vol.EE96-D, No.3, pp.562-578, March 2013.
  6. Akisato Kimura, Masashi Sugiyama, Hirokazu Kameoka, Hitoshi Sakano, "Designing various component analysis at will via generalized pairwise expression," IPSJ Transactions on Mathematical Modeling and its Applications, Vol.6, No.1, pp.136-145, March 2013.
  7. Akisato Kimura, Masashi Sugiyama, Takuho Nakano, Hirokazu Kameoka, Hitoshi Sakano, Eisaku Maeda, Katsuhiko Ishiguro, "SemiCCA: Efficient semi-supervised learning of canonical correlations," IPSJ Transactions on Mathematical Modeling and its Applications, Vol.6, No.1, pp.128-135, March 2013.
  8. Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, and Hiroshi Sawada. "Noise Adaptive Optimization of Matrix Initialization for Frequency-Domain Independent Component Analysis," Digital Signal Processing, vol.13, no.1, pp.1-8, 2013.
  9. 木村昭悟,数原良彦,高橋寛幸,横山達彦 "画像検索でのユーザ行動を利用した大規模画像アノテーション," 電子情報通信学会論文誌 和文D,Vol.J96-D, No.8, August 2013. (in Japanese)

2012

  1. Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi "Towards automatic image understanding and mining via social curation," Proc. IEEE International Conference on Data Mining (ICDM2012), Brussels, Belgium, December 2012.
  2. Machiko Toyoda, Yasushi Sakurai, and Yoshiharu Ishikawa ``Pattern Discovery in Data Streams under the Time Warping Distance,'' VLDB Journal.
  3. Hitoshi Sakano, Tsukasa Ohashi, Akisato Kimura, Hiroshi Sawada, Katsuhiko Ishiguro "Extended Fisher criterion based on auto-correlation matrix information," Proc. IAPR International Workshop on Statistical Techniques in Pattern Recognition (SPR2012), pp.409-416, Hiroshima, Japan, November 2012.
  4. Akisato Kimura, Masashi Sugiyama, Hitoshi Sakano, Hirokazu Kameoka "Designing various component analysis methods at will," Proc. IAPR International Conference on Pattern Recognition (ICPR2012), pp.2959-2962, Tsukuba, Japan, November 2012.
  5. Makoto Yamada, Leonid Sigal, Michalis Raptis "No Bias Left Behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation," European Conference on Computer Vision (ECCV2012), Firenze, Italy, October 2012, pp.674-687.
  6. Ryo Yonetani, Akisato Kimura, Hitoshi Sakano, Ken Fukuchi "Single image segmentation with estimated depth," Proc. British Machine Vision Conference (BMVC2012), pp.28.1-28.11, Guildford, UK, September 2012.
  7. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda, "Modeling Noisy Annotated Data with Application to Social Annotation," IEEE Transactions on Knowledge and Data Engineering.
  8. Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takayuki Suyama: ``Activity Recognition with Hand-worn Magnetic Sensors", ACM/Springer Personal and Ubiquitous Computing (ACM/Springer PUC).
  9. Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa: ``Fast Mining and Forecasting of Complex Time-Stamped Events", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Beijing, China, August 2012.
  10. Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos: ``Rise and Fall Patterns of Information Diffusion: Model and Implications", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Beijing, China, August 2012.
  11. T. Otsuka, K. Ishiguro, H. Sawada and H. G. Okuno, "Bayesian Unification of Sound Source Localization an Separation with Permutation Resolution," Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI2012), Toronto, Canada, July 2012 (presented in an oral session).
  12. Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: ``Recognizing Handheld Electrical Device Usage with Hand-worn Coil of Wire", International Conference on Pervasive Computing (PERVASIVE), Newcastle, UK, June 2012.
  13. Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: ``Mimic Sensors: Battery-shaped Sensor Node for Detecting Electrical Events of Handheld Devices", International Conference on Pervasive Computing (PERVASIVE), Newcastle, UK, June 2012.
  14. Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-Man Au Yeung "Creating stories: Social curation of Twitter messages," Proc. International AAAI Conference on Weblogs and Social Media (ICWSM2012), Dublin, Ireland, June 2012.
  15. K. Ishiguro, N. Ueda and H. Sawada, "Subset Infinite Relational Models," Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS2012), pp. 547-555, 2012.
  16. Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: ``WristSense: Wrist-worn Sensor Device with Camera for Daily Activity Recognition", IEEE International Conference on Pervasive Computing and Communications (PerCom), Lugano, Switzerland, March 2012
  17. H. Sawada, H. Kameoka, S. Araki, N. Ueda, "Efficient Algorithms for Multichannel Extensions of Itakura-Saito Nonnegative Matrix Factorization," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), pp. 261-264, Mar., 2012.
  18. Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James Glass, "Handling Uncertain Observations in Unsupervised Topic-mixture Language Model Adaptation," ICASSP2012, 2012
  19. Roland Roller, Shinji Watanabe, Tomoharu Iwata, "Effect of Dialog Acts on Word Use in Polylogue," ICASSP2012, 2012
  20. K. Ishiguro, T. Yamada, S. Araki, T. Nakatani and H. Sawada, "Probabilistic Speaker Diarization with Bag-of-words Representations of Speaker Angle Information," IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, No. 2, pp. 447-460, 2012.
  21. Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda: ``Sequential Modeling of Topic Dynamics with Multiple Timescales", ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 5, No. 4, February 2012.
  22. Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome: ``Context-Aware Web Search in Ubiquitous Sensor Environment", ACM Transactions on Internet Technology (TOIT), Vol. 11, No. 3, January 2012.
  23. 佐野 渉二, 柳沢 豊, 櫻井 保志, 岸野 泰恵, 寺田 努, 塚本 昌彦, 須山 敬之: ``相関性のあるデータを集約する無線センサネットワークにおけるシンクノード決定問題の近似解法", 情報処理学会論文誌, Vol. 53, No. 3, pp. 1177-1188, 2012年3月. (in Japanese)

2011

  1. K. Fujiwara, M. Kano and S. Hasebe: Correlation-based Spectral Clustering for Flexible Process Monitoring, Journal of Process Control, 21, 1438/1448 (2011)
  2. K. Fujiwara, M. Kano and S. Hasebe: Development of Correlation-Based Pattern Recognition Algorithm and Adaptive Soft-Sensor Design, Control Engineering Practice, DOI: 10.1016/j.conengprac.2010.11.013
  3. Ukrit Watchareeruetai, Akisato Kimura, Cheng Bao, Takahito Kawanishi, Kunio Kashino, "Interest point detection with stochastically-derived stability," IPSJ Transactions on Computer Vision and Applications, Vol.3, pp.189-197, December 2011.
  4. Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda, "Improving Classifier Performance using Data with Different Taxonomies," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, No. 11, 1668-1677, 2011
  5. Ching Man Au Yeung, Tomoharu Iwata, "Extracting Multi-dimensional Relations: A Generative Model of Groups of Entities in a Corpus," CIKM2011, 1203-1208, 2011
  6. Akinori Fujino, Masaaki Nagata, Tomoharu Iwata, "Mislabeling Detection with Cross-validation Likelihood Maximization," ACML2011, 2011
  7. T. Fujino, K. Ishiguro and H. Sawada, "Logitboost Extension for Early Classification of Sequences," Lecture Notes in Computer Science: Computer Analysis of Images and Patterns (Proceedings of CAIP2011), Vol. 6854, Part I, pp. 579-588, 2011.
  8. Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa: ``D-Search: An Efficient and Exact Search Algorithm for Large Distribution Sets", Knowledge and Information Systems (KAIS), Springer, Vol 29, No. 1, October 2011 (Invited paper, selected best papers from ICDM 2009).
  9. H. Sawada, H. Kameoka, S. Araki, N. Ueda, "New Formulations and Efficient Algorithms for Multichannel NMF," IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2011), pp. 153-156, Oct. 2011.
  10. Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai: ``WPT: A Toolkit for Publishing a Web-based Lifelog", International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT), pp. 185-199, Karlsruhe, Germany, September 2011.
  11. Kevin Duh, Katsuhito Sudoh, Tomoharu Iwata, Hajime Tsukada, "Alignment Inference and Bayesian Adaptation for Machine Translation," Proceedings of Machine Translation Summit XIII, Xiamen, China, Sep. 2011
  12. Tomoharu Iwata, Shinji Watanabe, "Learning Influences from Word Use in Polylogue," Interspeech2011, 3089-3092, 2011
  13. S. Makino, H. Sawada, "Blind Speech Separation based on Independent Component Analysis and Sparse Component Analysis," Interspeech 2011 Tutorial, Florence, Aug. 2011.
  14. T. Matsubayashi and K. Ishiguro, "Mobile Topigraphy: Large-scale Tag Cloud Visualization for Mobiles," Proceedings of the 20th International World Wide Web Conference (WWW2011).
  15. Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takayuki Suyama: ``Recognizing the Use of Portable Electrical Devices with Hand-worn Magnetic Sensors", International Conference on Pervasive Computing (PERVASIVE), pp. 276-293, San Francisco, CA, June 2011.
  16. Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto, "Transfer Learning for Multiple-Domain Sentiment Analysis: Identifying Domain Dependent/Independent Word Polarity," AAAI2011, 2011
  17. Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada, "Fashion Coordinates Recommender System using Photographs from Fashion Magazines," IJCAI2011, 2262-2267, 2011
  18. H. Sawada, H. Kameoka, S. Araki, N. Ueda, "Formulations and Algorithms for Multichannel Complex NMF," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), pp. 229-232, May, 2011.
  19. Takuho Nakano, Akisato Kimura, Hirokazu Kameoka, Shigeki Sagayama, Shigeki Miyabe, Nobutaka Ono, Kunio Kashino, Takuya Nishimoto: "Automatic video annotation via hierarchical topic trajectory model considering cross-modal correlations," Proc. International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic,22-27 May, 2011.
  20. Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada, Hirokazu Kameoka: "Automatic audio tag classification via semi-supervised canonical density estimation," Proc. International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic,22-27 May, 2011.
  21. Yasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos, ``WindMine: Fast and Effective Mining of Web-click Sequences", SIAM International Conference on Data Mining (SDM), pp. 759-770, Mesa, Arizona, April 2011.
  22. H. Sawada, S. Araki, S. Makino, "Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment," IEEE Trans. Audio, Speech, and Language Processing, vol.19, no.3, pp.516-527, March 2011.
  23. Ching-man Au Yeung, Kevin Duh, Nagata Masaaki: "Providing Cross-lingual Editing Assistance to Wikipedia Users". Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics, Tokyo, Japan, 20-26 February, 2011.
  24. Ching-man Au Yeung, Tomoharu Iwata: "Strength of Social Influence in Trust Networks in Product Review Sites". Proceedings of the 4th ACM International Conference on Web Search and Data Mining, Hong Kong, China, 9-12 February, 2011, ACM.
  25. Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe, "Recommendation for English Multiple-choice Cloze Questions Based on Expected Test Scores," International Journal of Knowledge-based and Intelligent Engineering Systems, Volume 15, Number 1, 2011
  26. Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki, "Topic Tracking Language Model for Speech Recognition," Computer Speech & Language, Volume 25, Issue 22, 440-461, 2011
  27. 松原 靖子, 櫻井 保志, 吉川 正俊: ``隠れマルコフモデルに基づくストリーム処理", 情報処理学会論文誌:データベース, Vol. 4, No. 4, pp. 48-62, 2011年12月. (in Japanese)
  28. 豊田 真智子, 櫻井 保志, 小林 透, 市川 裕介: ``端末操作ログからの情報漏えい検出", 情報処理学会論文誌:データベース, Vol. 4, No. 4, pp. 63-77, 2011年12月. (in Japanese)
  29. 前川 卓也, 柳沢 豊, 櫻井 保志, 岸野 泰恵, 亀井 剛次, 岡留 剛: ``日常物の利用情報を用いたコンテキストサーチ", 情報処理学会論文誌, Vol. 52, No. 12, pp. 3504-3514, 2011年12月. (in Japanese)
  30. 豊田 真智子, 櫻井 保志, 石川 佳治: ``部分シーケンスマッチングのためのストリームアルゴリズム", 電子情報通信学会論文誌D, Vol.94, No.7, pp.1058-1070, 2011年7月. (in Japanese)
  31. 甲谷優, 岩田具治, 藤村考, "複数人によるアカウントの共有を考慮したトピックモデルに基づく協調フィルタリング," 日本データベース学会論文誌, Vol.9, No.3, 7-12, 2011 (in Japanese)
  32. 坂野鋭, 文字認識における逆像問題, 統数研研究会,2011年1月 (in Japanese)

2010

  1. Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Josh Tenenbaum, "Dynamic Infinite Relational Model for Time-varying Relational Data Analysis," NIPS2010, 910-918, 2010
  2. Yasuko Matsubara, Yasushi Sakurai and Masatoshi Yoshikawa: ``D-Search: An Efficient and Exact Search Algorithm for Large Distribution Sets", Knowledge and Information Systems (KAIS), Springer, 2010 (Invited to best papers of ICDM 2009 issue).
  3. Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda: "Improving Classifier Performance using Data with Different Taxonomies". IEEE Transactions on Knowledge and Data Engineering (TKDE)
  4. Yasushi Sakurai, Spiros Papadimitriou, Christos Faloutsos: ``Fast Discovery of Group Lag Correlations in Streams". ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 4.
  5. Ching-man Au Yeung: "From User Behaviours to Collective Semantics". SIGWEB Newsletter, Winter Issue 2010, pages 4:1-4:3, ACM. ACM Link
  6. Ching-man Au Yeung, Tomoharu Iwata: "Trust Relations and Product Ratings on the Web". WebDB Forum 2010, Tokyo, Japan, 11-12 November, 2010. (Best Paper Award)
  7. Ching-man Au Yeung, Kevin Duh, Nagata Masaaki: "Assisting Wikipedia Users in Cross-Lingual Editing". WebDB Forum 2010, Tokyo, Japan, 11-12 November, 2010
  8. Takuya Maekawa, Akisato Kimura, Hitoshi Sakano, "Wearable sensor device for automatic recording of hand drawings,", presented in a demo session, Asian Confernece on Computer Vision (ACCV2010), Queen's Town, New Zealand, November 2010.
  9. H. Sakano, A Brief history of subspace methods, Subspace2010 in conjunction with ACCV2010 (2010. 11.9)
  10. Abe A., Hagita N., Furutani M., Furutani Y., Matsuoka R., "Categorized and Integrated Data Mining of Medical Data from the Viewpoint of Chance Discovery". Proc. of KES2010 (LNAI6278), Part III, pp. 307--314, Springer Verlag, 2010.
  11. Abe A., "Abduction dealing with potential values". Proc. SMC2010, 2010.
  12. Abe A., Hagita N., Furutani M., Furutani Y., Matsuoka R., "An interactive interface for medical diagnosis support". in Sequence and Genome Analysis: Methods and Applications (Zhongming Zhao eds.), iConcept, 2010.
  13. Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Hidehisa Nagano, Kunio Kashino. "Statistical Modeling of F0 Dynamics in Singing Voices Based on Gaussian Processes with Multiple Oscillation Bases", Interspeech 2010.
  14. Sawada, S. Araki, S. Makino: "Underdetermined Convolutive Blind Source Separation via Frequency Bin-wise Clustering and Permutation Alignment". IEEE Trans. Audio, Speech & Language Processing.
  15. Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda: "Online Multiscale Dynamic Topic Models". Proc. of 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Minig (KDD2010).
  16. Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada: "Learning Common Grammar from Multilingual Corpus". Proceedings of 48th Annual Meeting of the Association for Computational Linguistics (ACL2010), short paper.
  17. Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura: "Effective Question Recommendation Based on Multiple Features for Question Answering Communities". Proceedings of 4th Int'l AAAI Conference on Weblogs and Social Media (ICWSM2010)
  18. Ching-man Au Yeung, Tomoharu Iwata: "Capturing Implicit User Influence in Online Social Sharing". Proceedings of 21st ACM Conference on Hypertext and Hypermedia (HT2010).
  19. T. Maekawa, Y. Yanagisawa, Y. Kishino, K. Ishiguro, K. Kamei, Y. Sakurai and T. Okadome, "Object-based Activity Recognition with Heterogeneous Sensors on Wrist", Proceedings of the Eighth International Conference on Pervasive Computing (Pervasive 2010), pp. 246-264. 2010.
  20. Machiko Toyoda, Yasushi Sakurai, ``Discovery of Cross-Similarity in Data Streams,'' Proc. of the 26th International Conference on Data Engineering (ICDE 2010), pp.101-104, 2010.
  21. Abe A., Hagita N., Furutani M., Furutani Y., Matsuoka R., "An Interface for Medical Diagnosis Support ---from the viewpoint of Chance Discovery". International Journal of Advanced Intelligence Paradigms, Vol. 2, No. 2/3, pp. 283--302, 2010.
  22. Abe A., Ohsawa Y., Ozaku I.H., Sagara K., Kuwahara N., Kogure K., "Communication Error Determination System for Multi-layered or Chained Situations". Fundamenta Informaticae, 98, pp. 123--142, 2010.
  23. Abe A., Ohsawa Y., Kuwahara N., Ozaku I.H., Sagara K., Kogure K., "Scenario Violation as Gaps between Activity Patterns". New Mathematics and Natural Computation, Vol. 6, No. 2, pp. 193--208, 2010.
  24. Ohsawa Y., Abe A., and Nakamura J., "Chance Discovery as Analogy based Value Sensing". International Journal of Organizational and Collective Intelligence, Vol. 1, No. 1, pp. 44--57, 2010.
  25. 澤田 宏,荒木 章子, "[招待講演]時間周波数マスクによる実環境でのブラインド音源分離", 電子情報通信学会 技術研究報告,vol. 110, no. 331, EA2010-104, pp. 43-48, 2010年12月. (in Japanese)
  26. 市野将嗣,坂野 鋭,小松尚久,カーネル判別分析を用いた正準核の統合による相互部分空間法の改良, 電子情報通信学会論文誌, Vol.J93-D, No.8, 2010. (in Japanese)
  27. 川前徳章, 坂野鋭, 山田武士, 文書集合と著者集合の依存関係を明らかにする潜在変数モデル,電子情報通信学会論文誌, Vol. J93-D, No. 6, 2010. (in Japanese)
  28. 岩田具治,渡部晋治,山田武士,上田修功:"購買行動解析のためのトピック追跡モデル". 電子情報通信学会. (in Japanese)
  29. 石黒勝彦,岩田具治,上田修功:"時間依存関係データ分析のための動的無限関係モデル". 情報処理学会論文誌 数理モデル化と応用, Vol.3, No.1, 1-12, 2010. (in Japanese)
  30. 亀岡弘和, 大石康智, 持橋大地, ルルー・ジョナトン. "マルチカーネル線形予測モデルによる音声分析". 音響学会2010年春季研究発表会講演論文集 2-Q-24, 2010. (in Japanese)
  31. 持橋大地, "最近のベイズ理論の進展と応用(III) ―ノンパラメトリックベイズ―". 電子情報通信学会誌 2010年1月号 (Vol.93 No.1), pp.73-79, 2010. (in Japanese)

2009

  1. Yasuko Matsubara, Yasushi Sakurai, and Masatoshi Yoshikawa: ``Scalable Algorithms for Distribution Search", IEEE International Conference on Data Mining (ICDM), pp. 347-356, Miami, Florida, December 2009.
  2. Yasuhiro Fujiwara, Yasushi Sakurai, Masaru Kitsuregawa: `` Fast Likelihood Search for Hidden Markov Models", ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 3, No. 18, November 2009 (Invited to best papers of KDD 2008 issue).
  3. Noriaki Kawamae, Hitoshi Sakano, Takeshi Yamada, Personalized recommendation based on the personal innovator degree, in Proc. of the third ACM conference on Recommender systems, pp.329-332, New York, Oct. 2009
  4. Yasuko Matsubara, Yasushi Sakurai, and Masatoshi Yoshikawa ``Efficient Similarity Search on Distribution Data", Third SIGMOD Workshop on Innovative Database Research (IDAR 2009), Providence, RI, June 2009.
  5. Norihiro Takahashi, Tomoki Yoshihisa, Yasushi Sakurai, Masanori Kanazawa: ``A Parallelized Data Stream Processing System Using Dynamic Time Warping Distance", International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 1100-1105, 2009.
  6. Daichi Mochihashi, Takeshi Yamada, Naonori Ueda, "Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling". ACL-IJCNLP 2009, pp.100-108, 2009.
  7. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada, "Knowledge Network for English Grammar Learning Support System". International Journal of Advanced Intelligence Paradigms, Vol.2, No.1, 64-77, 2009.
  8. Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto. "On the Properties of von Neumann Kernels for Link Analysis". Machine Learning, 75:37-67, 2009.
  9. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda, "Modeling Social Annotation Data with Content Relevance using a Topic Model". Advances in Neural Information Processing Systems (NIPS2009), 835-843, 2009.
  10. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada, "An Automatic Generation of Multiple-choice Cloze Questions Based on Statistical Learning". The 17th International Conference on Computers in Education (ICCE2009), 415-422, 2009. (Nomination for Best Student Paper Award)
  11. Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda, "Topic Tracking Model for Analyzing Consumer Purchase Behavior". Proc. of 21st International Joint Conference on Artificial Intelligence (IJCAI-09), 1427-1432, 2009.
  12. K. Ishiguro, T. Yamada, S. Araki and T. Nakatani, "A Probabilistic Speaker Clustering for DOA-based Diarization", Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2009), pp. 241-244, 2009. (accepted as a lecture (oral) session paper)
  13. T. Maekawa, Y. Yanagisawa, Y. Sakurai, Y. Kishino, K. Kamei, and T. Okadome: Web Searching for Daily Living, Proc. of International ACM SIGIR Conference (SIGIR 2009), pp. 27-34 (July 2009).
  14. Yoshikawa A., Suzuki K., Abe A., Tanaka T., Yamaguchi K., Tanaka T., Ishikawa Y., Minegishi K., Gotanda Y., Yugi H., Uchida S., Satake M., Mizoguchi H., and Tadokoro K., "Effect of selective vaccination on rate of hepatitis B virus-positive Japanese first-time blood donors". Transfusion Medicine, Vol. 19, Issue 4, pp. 172--179, 2009.
  15. Abe A., "Cognitive Chance Discovery". in Universal Access in Human-Computer Interaction --- Addressing Diversity (Stephanidis eds.), UAHCI 2009, Held as Part of HCI International 2009, Proceedings, Part I (LNCS5614), pp. 315--323, Springer-Verlag, 2009.
  16. Kuwahara N., Ohboshi N., Osaku H.I., Naya F., Abe A., Kogure K., "Verifying Nursing Activities based on Nursing Workflow Model for Detecting Errors". in Context-Aware Computing and Self-Managing Systems (Dargie W. eds.), Chapter 2, pp. 15--40, CRC Press, 2009.
  17. 松原 靖子, 櫻井 保志, 吉川 正俊: ``大量頻度分布データのための高速探索アルゴリズム", 情報処理学会論文誌:データベース, Vol. 2, No. 3, pp. 29-40, 2009年9月. (in Japanese)
  18. 市野将嗣,坂野 鋭,小松尚久,唇動作と音声を用いたカーネル判別分析による個人認証方式, 電子情報通信学会論文誌, Vol.J92-D,No.8,pp. 1363-1372, 2009. (in Japanese)
  19. 川前徳章, 坂野鋭, 山田武士, 上田修功,ユーザの嗜好の時系列性と先行性に着目した協調フィルタリング,電子情報通信学会論文誌, Vol.92, No.6, pp.767-776, 2009 (in Japanese)
  20. 櫻井 保志, Christos Faloutsos, 山室 雅司: ``ダイナミックタイムワーピング距離に基づくストリーム処理", 電子情報通信学会論文誌D, Vol. J92-D, No. 3, pp. 338-350, 2009年3月. (in Japanese)
  21. 持橋大地, 山田武士, 上田修功, "ベイズ階層言語モデルによる教師なし形態素解析". 情報処理学会研究報告 2009-NL-190, 2009. (in Japanese)
  22. 岩田具治,山田武士,上田修功, "トピックモデルに基づく文書群の可視化". 情報処理学会論文誌, Vol.50, No.6, 1649-1659, 2009. (in Japanese)
  23. 岩田具治,田中利幸,山田武士,上田修功, "分布が変化するデータにおけるモデル学習法". 電子情報通信学会, Vol.J-92D, No.3, 361-370, 2009. (in Japanese)
  24. 豊田真智子, 櫻井保志, 市川俊一, ``データストリームのための部分シーケンスマッチング'', 第1回データ工学と情報マネージメントに関するフォーラム (DEIM 2009) 論文集, E8-7, 2009. 【最優秀論文賞受賞】 (in Japanese)
  25. 石黒 勝彦, 山田 武士, 上田 修功, "ノンパラメトリックベイズに基づく複数対象時系列のクラスタリングとトラッキング", 電子情報通信学会論文誌D, Vol. J92-D, No. 3, pp. 371-381, 2009. (in Japanese)
  26. 坂野 鋭, 山田 武士, 石黒 勝彦, "誤り訂正学習による動作認識と個人適応への試み", 情報処理学会論文誌 数理モデル化と応用, Vol. 2, No. 3, pp. 153-161, 2009. (in Japanese)
  27. 坂野 鋭 , 核非線形相互部分空間法によるパターン認識, 日本医用画像工学会 e-News Letter, No.3, pp.5-6, Jul. 2009 (in Japanese)
  28. 坂野 鋭, 方向性特徴は何故有効なのか?, 画像ラボ,pp. 55-58, 2009年6月号 (in Japanese)

2008

  1. Masatsugu Ichino, Hitoshi Sakano, Naohisa Komatsu, Text-Indicated Speaker Recognition Using Kernel Mutual Subspace Method, In Proc. ICARCV, Singapore, P.1027, December 2008
  2. Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos: ``Fast Mining of Complex Time-Stamped Events", ACM International Conference on Information and Knowledge Management (CIKM), pp. 759-768, Napa Valley, California, October 2008.
  3. Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamuro: ``SPIRAL: Efficient and Exact Model Identification for Hidden Markov Models", ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 247-255, Las Vegas, Nevada, August 2008 (Best Paper Awards).
  4. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada, "Recommendation Method for Improving Customer Lifetime Value". IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.20, No.9, 1254-1263, 2008.
  5. Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe, "Recommendation Algorithm for Learning Materials that Maximizes Expected Test Scores". Proc. of 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI2008), 965-970, 2008.
  6. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata, "English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises". Proc. of 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2008), Part III, LNAI 5179, 588-595, 2008.
  7. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda, "Probabilistic Latent Semantic Visualization: Topic Model for Visualizing Documents". Proc. of 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Minig (KDD2008), 363-371, 2008.
  8. Machiko Toyoda, Yasushi Sakurai, Toshikazu Ichikawa, ``Identifying Similar Subsequences in Data Streams,'' Proc. of the 19h International Conference Database and Expert Systems Applications (DEXA 2008), Lecture Note in Computer Science Vol.5181, pp.210-224, 2008.
  9. K. Ishiguro, N. Otsu, M. Lungarella and Y. Kuniyoshi, "Comparison of Nonlinear Granger Causality Extensions for Low-Dimensional Systems", Physical Review E, Vol. 77, No. 3, 036217, 2008.
  10. K. Ishiguro, N. Otsu, M. Lungarella and Y. Kuniyoshi, "Detecting Direction of Causal Interactions Between Dynamically Coupled Signals", Physical Review E, Vol. 77, No. 2, 026216, 2008.
  11. K. Ishiguro, T. Yamada and N. Ueda, "Simultaneous Clustering and Tracking Unknown Number of Objects", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '08), pp. 1-8, 2008.
  12. T. Maekawa, Y. Yanagisawa, Y. Kishino, K. Kamei, Y. Sakurai, and T. Okadome: Object-Blog System for Environment-Generated Content, IEEE Pervasive Computing, Vol. 7, No. 4, pp. 20-27 (Oct.-Dec. 2008).
  13. Abe A., Hagita N., Furutani M., Furutani Y., Matsuoka R., "Data mining of Multi-categorized Data". Mining Complex Data, Post-Proceedings of the ECML/PKDD'07 Third International Workshop, MCD2007 (Ras Z.W., Tsumoto S., Zighed D. eds.) (LNAI4944), pp. 182--195, Springer Verlag, 2008.
  14. Abe A., Ohsawa Y., Ozaku H.I., Sagara K., Kuwahara N., and Kogure K., "Communication error determination model for multi-layered or chained situations". Proc. of PAKDD 2008 Working Notes of Workshops on Data Mining for Decision Making and Risk Management, pp. 305--316, 2008.
  15. Ozaku H.I., Abe A., Sagara K., Kogure, "Relationships between nursing conversations and activities". Proc. of LREC2008, 2008.
  16. Abe A., Hagita N., Furutani M., Furutani Y., Matsuoka R., "Exceptions as Chance for Computational Chance Discovery". Proc. of KES2008 (LNAI5178), Vol. II, pp. 750--757, Springer Verlag, 2008.
  17. Abe A., "Relationship between Human and Computational Abduction". Proc. of SMC2008, pp. 318--323, 2008.
  18. Abe A., Hagita N., Furutani M., Furutani Y., Matsuoka R., "Categorized and Integrated Data Mining of Clinical Data". in Communications and Discoveries from Multidisciplinary Data (Iwata S., Ohsawa Y., Tsumoto S., Zhong N., Shi Y., Magnani L. eds.), Studies in Computational Intelligence, Vol. 123, pp. 315--330, Springer Verlag, 2008.
  19. 岩田具治,山田武士, 上田修功,"購買順序を効率的に用いた協調フィルタリング". 情報処理学会論文誌:数理モデル化と応用, Vol.49, No.SIG4 (TOM20), 125-134, 2008. (情報処理学会論文賞) (in Japanese)
  20. 豊田真智子, 櫻井保志, 市川俊一, ``ダイナミックプログラミングに基づくストリームマッチング'', 情報処理学会研究報告, Vol.2008, No.88, 2008-DBS-146-47 (iDBフォーラム), pp.277-282, 2008. (in Japanese)
  21. 市川俊一, 豊田真智子, 高橋克巳, ``PCクラスタを用いた高信頼・高可用ブロックレベル・ストレージの設計と実装'', 情報処理学会論文誌, Vol.49, No.6, pp.2106-2117, 2008. (in Japanese)
  22. 松林達史、山田武士、藤村滋、藤村考:"固有楕円ポテンシャルを用いたラベル付きグラフ可視化の座標計算", 情報処理学会,TOM21, Vol.1, No.1, pp.88--101, (2008) (in Japanese)
  23. T. Matsubayashi : "Visualization of large-scale complex networks", DDAP5, (2008.9)[Invited talk]
  24. 澤田 宏,荒木 章子,牧野 昭二, "音源分離技術の最新動向", 電子情報通信学会学会誌, 91(4), 292-296, 2008年4月. (in Japanese)
  25. 石黒 勝彦, 山田 武士, 上田 修功, "複数対象トラッキングと複数ダイナミクスの同時推定法", 第11回画像の認識・理解シンポジウム (MIRU2008)論文集, pp. 294-301, 2008. (accpeted as an oral session paper) (in Japanese)

Members

Affiliates

                              
Name Title
Naonori Ueda Research Professor(Visiting Fellow)/Deputy Director RIKEN Center for Advanced Intelligence Project
Futoshi Naya Vice President of NTT Communication Science Laboratories
Naoki Marumo Tokyo University(secondment)
Yasue Kishino Interaction Research Group
Shin Mizutani Interaction Research Group
Takashi Hattori Child Development Research Group
Akisato Kimura Media Information Laboratory
Kazuya Ohara NTT Access Network Service Systems Laboratories
Koji Kamei NTT Information Network Laboratory Group
Machiko Toyoda NTT Software Innovation Center
Akinori Abe Chiba University
Kenichi Arai Tokyo Information Design Professional University
Katsuhiko Ishiguro Preferred Networks, Inc.
Albert (Ching-man) Au Yeung Hong Kong Applied Science and Technology Research Institute
Noriaki Kawamae NTT COMWARE
Shuhei Kuwata Amada AI Inovation Laboratory
Kazumi Saito Kanagawa University
Hitoshi 'keen' Sakano Shimane University
Yasushi Sakurai Osaka University
Hitoshi Shimizu NTT WEST
Kazuhiko Shinozawa Osaka Kyoiku University
Yoshinari Shirai Doshisha Women's College of Liberal Arts
Takayuki Suyama Osaka Institute of Technology
Koh Takeuchi Kyoto University
Koichi Fujiwara Nagoya University
Mathieu Blondel Google Research in Paris
Takuya Maekawa Osaka University
Tatsushi Matsubayashi ALBERT
Yasuko Matsubara Osaka University
Daichi Mochihashi The Institute of Statistical Mathematics
Yutaka Yanagisawa M PLUS PLUS CO., LTD.
Takeshi Yamada Kindai University
Makoto Yamada Okinawa Institute of Science and Technology

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