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藤巻 遼平 論文リスト

International Journal

  • Michiaki Hamada, Yukiteru Ono, Ryohei Fujimaki, Kiyoshi Asai: Learning chromatin states with factorized information criteria. Bioinformatics 31(15): 2426-2433 (2015)
  • Z. Yunzhu, H. Suematsu, T. Itoh, R. Fujimaki, S. Morinaga, Y. Kawahara, “Scatterplot Layout for High-dimensional Data Visualization,” Journal of Visualization 18(1): 111-119 (2015)
  • Yukinobu Fukushima, Tutomu Murase, Masayoshi Kobayashi, Hiroki Fujiwara, Ryohei Fujimaki, Tokumi Yokohira, Multi-stage change-point detection scheme for large-scale simultaneous events. Computer Communications 34(15): 1810-1821 (2011)
  • Ryohei Fujimaki, Shunsuke Hirose, Takayuki Nakata, Frequency Analysis of Subsequence Time Series Clustering and Evaluation of Phase Alignment Preprocessing, Transactions of the Japanease Society for Artificial Intelligenc, vol.25, No.4, 2010. (in Japanese)
  • Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi, Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection, Statistical Analysis and Data Mining, 2(1), 1-17, John Wiley & Sons, 2009.
  • Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, Sparse Bayesian Learning for Nonstationary Data, Transactions of the Japanease Society for Artificial Intelligenc, vol.23, No.1, 2008. (in Japanese)
  • Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, Localization of intravehicular flying robot using particle filter algorithm, Transactions of The Japan Society for Aeronatutical and Space Sciences, vol. 48, No.162, 2006.
  • Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, Transactions of the Japan Society for Aeronautical and Space Sciences, vol.54, No.630, 2006. (in Japanese)

Domestic Journal

  • 藤巻遼平, 山口勇太郎, 江藤力, 因子化漸近ベイズ推論による区分疎線形判別, 人工知能学会論文誌31巻6号AI30-I, 2016 [pdf]
  • 本橋洋介, 藤巻遼平, 機械学習を用いた予測ソリューションの開発, 電気学会論文誌, C:Vol. 136, No. 3, 249-252, 2016.
  • 藤巻遼平, 本橋洋介, 分析プロセス自動化・標準化への挑戦─実践に基づく考察, 情報処理学会デジタルプラクティス, vol.3, No.6, page 198-206, 2015.
  • 森永聡, 青木健児, 鈴木和史, 藤巻遼平, 福島荘之介, ビッグデータ価値化への挑戦-薬剤副作用分析と航空機着陸システムの安全性設計から, 情報処理学会デジタルプラクティス, vol.4, No.1, 29-37, 2013.
  • 藤巻遼平,広瀬俊亮, 中田貴之, 部分時系列クラスタリングの周波数解析と位相整列処理の評価, 人工知能学会論文誌, vol.25, No.4, 540-548, 2010.
  • 藤巻遼平, 矢入健久, 町田和雄, 非定常データに対するSparse Bayesian Learning, 人工知能学会論文誌, vol.23, No.1, 2008.
  • 藤巻遼平, 矢入健久, 町田和雄, 回帰学習による逐次予測を用いた宇宙機の適応的リミットチェック, 航空宇宙学会論文集, vol.54, No.630, 2006.

International Conference, Workshop

  • Chunchen Liu, Feng Lu, Ryohei Fujimaki, Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference, IEEE International Conference on Data Mining (ICDM), 2016

  • Ito and Fujimaki, Large-scale Price Optimization via Network Flow, Annual Conference on Neural Information Processing Systems (NIPS), 2016.

  • Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu, Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Variation, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016 [pdf]

  • Jialei Wang, Ryohei Fujimaki, Yosuke Motohash, “Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models”, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015
  • Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka, “Scalable Model Selection for Large-Scale Factorial Relational Models”, Proceedings of the 28th international conference on machine learning (ICML), 2015 [pdf]
  • Kohei Hayashi, Shin-ichi Maeda, and Ryohei Fujimaki, “Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Loglikelihood”, Proceedings of the 28th international conference on machine learning (ICML), 2015 [pdf]
  • D. Kong  and R. Fujimaki, F. Nie, C. Ding, “Exclusive Feature Learning on Arbitrary Structures”, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014. [pdf]
  • H. Oiwa and R. Fujimaki, “Partition-wise Linear Models”, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014. [pdf]
  • Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano, “Fully-Automatic Bayesian Piece-wise Sparse Linear Models”, Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014 [pdf]
  • Ji Liu,  Ryohei Fujimaki and Jieping Ye, “Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint”, Proceedings of the 27th international conference on machine learning (ICML), 2014 [pdf]
  • K. Hayashi and R. Fujimaki, “Factorized Asymptotic Bayesian Inference for Latent Feature Models”, 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013. [pdf]
  • H. Suematsu, Z. Yunzhu, T. Itoh, R. Fujimaki, S. Morinaga and Y. Kawahara, “Low-dimensional parallel coordinates collection for high-dimensional data visualization,” Proceedings of the 17th Int'l Conf. on Information Visualization (IV'13), pp.59-65, 2013.
  • Ryohei Fujimaki, Kohei Hayashi: Factorized Asymptotic Bayesian Hidden Markov Model. Proceedings of the 25th international conference on machine learning (ICML), 2012 [pdf]
  • Ryohei Fujimaki, Satoshi Morinaga: Factorized Asymptotic Bayesian Inference for Mixture Modeling. Proceedings of the The fifteenth international conference on Artificial Intelligence and Statistics (AISTATS), 2012 (oral) [pdf]
  • Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga: Online heterogeneous mixture modeling with marginal and copula selection. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011  (oral)
  • Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata, Linear Time Model Selection for Mixture of Heterogeneous Components, Proceedings of the 1st Asian Conference on Machine Learning, 2009
  • Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata and Ryohei Fujimaki, Network Anomaly Detection based on Eigen Equation Compression, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2009
  • Ryohei Fujimaki, Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis, Proceedings of IEEE International Conference on Data Mining, 2008
  • Tsutomu Murase, Yukinobu Fukushima, Masayoshi Kobayashi, Sakiko Nishimoto, Ryohei Fujimaki, Tokumi Yokohira, Performance Evaluation of a Multi-stage Network Event Detection Scheme against DDoS Attacks by Random Scan Worms, International Communications Quality and Reliability Workshop (IEEE CQR), 2008.
  • Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi, Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection, Proceedings of 2008 SIAM International Conference on Data Mining, 2008.
  • Ryohei Fujimaki, Shunsuke Hirose, Takayuki Nakata, Theoretical analysis of subsequence time-series clustering from a frequency-analysis viewpoint, Proceedings of 2008 SIAM International Conference on Data Mining, 2008.
  • Tsutomu Murase, Yukinobu Fukushima, Masayoshi Kobayashi, Hiroaki Fujiwara, Ryohei Fujimaki, Tokumi Yokohira, Performance Evaluation of a Multi-stage Network Event Detection Scheme against DDoS Attacks, 7th Asia-Pacific Symposium on Information and Telecommunication Technologies (APSITT), 2008
  • Takehisa YAIRI, Yoshinobu KAWAHARA, Ryohei Fujimaki, Kazuo MACHIDA, Telemetry-mining: A Machine Learning Approach to Anomaly Detection and Fault Diagnosis for Space Systems, in Proceedings of the 2nd IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), California, 2006.
  • Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, An Approach to Spacecraft Anomaly Detection Problem Using Kernel Feature Space, Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.401-410, 2005. (oral)
  • Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, Adaptive Limit-checking for Spacecraft using Relevance Vector Autoregressive Mode, In Proceedings of the International Symposium on Artificial Intelligence and Robotics and Automation in Space, 2005
  • Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida, An Anomaly Detection Method for Spacecraft using Relevance Vector Learning, Proceedings  of The Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2005 , pp785-790

Domestic Conference, Workshop

  • 林 浩平, 藤巻遼平, 隠れ特徴モデルにおける因子化漸近ベイズ推論法,日本応用数理学会2014年度年会講演予稿集, 2012.
  • 林 浩平, 藤巻遼平, 疎データに対する並列確率勾配法のための属性割当最適化,第15回 情報論的学習理論ワークショップ(IBIS), 2012.
  • 鄭雲珠, 末松はるか, 伊藤貴之, 藤巻遼平, 森永聡, 河原吉伸, “低次元プロットの集合による高次元データ可視化の一手法(1),” 第26回人工知能学会全国大会, 1B2-R-3-3, 山口, 2012.
  • 末松はるか, 鄭雲珠, 伊藤貴之, 藤巻遼平, 森永聡, 河原吉伸, “低次元プロットの集合による高次元データ可視化の一手法(2),” 第26回人工知能学会全国大会, 1B2-R-3-4, 山口, 2012.
  • 藤巻遼平, 森永聡, 門馬道也, 青木健児, 中田貴之, 線形時間異種混合モデル選択のための期待情報量基準最小化法,第12回 情報論的学習理論ワークショップ(IBIS), 2009.
  • 藤巻遼平,異常検出サポートベクトルマシンと多クラス問題への拡張,第11回 情報論的学習理論ワークショップ(IBIS), 2008.
  • 藤巻遼平, 異常検出サポートベクトルマシン, 第7回情報科学技術フォーラム (FIT),2008.
  • 藤巻遼平, 山西健司, ノード重要度を考慮したグラフ分割, 第7回情報科学技術フォーラム (FIT),2008.
  • 王遠, 村瀬勉, 小林正好, 藤巻遼平, 福島行信, 横平徳美, 同時多発イベント検出を目的とした階層型変化点検出機構の性能評価, 電気・情報関連学会中国支部連合大会, 2007
  • 藤巻遼平, 広瀬俊亮, 中田貴之, 部分時系列クラスタリングの周波数解析, 第10回 情報論的学習理論ワークショップ(IBIS), 2007.
  • 広瀬俊亮, 藤巻遼平, 森永聡, 凸分数計画を用いたカーネル最適化, 第10回 情報論的学習理論ワークショップ(IBIS), 2007.
  • 藤巻遼平, 矢入健久, 町田和雄, 非定常データに対するSparse Bayesian Learning, 第9回 情報論的学習理論ワークショップ(IBIS), 2006.
  • 藤巻遼平, 矢入健久, 町田和雄, カーネルヒルベルト空間における正準角を利用した宇宙機異常検知法, 第20回人工知能学会全国大会予稿集, 2006.
  • 藤巻遼平, 河原吉伸, 矢入健久, 町田和雄, テレメトリデータマイニングによる知識獲得に基づく宇宙機異常検知法, 第49回宇宙科学技術連合講演会予稿集, 2005.

Business Conference

  • Masato Asahara, Ryohei Fujimaki, Big Data Heterogeneous Mixture Learning on Spark, Hadoop Summit San Jose, 2016.

  • Masato Asahara, Ryohei Fujimaki, Distributed Heterogeneous Mixture Learning On Spark, Spark Summit 2016.
  • Ryohei Fujimaki, Prescriptive Analytics: The Marriage of Your Business and Data Science, Gartner Business Intelligence & Analytics Summit 2016.

Book, Technical Report, Others

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