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Ryohei Fujimaki's Publication List

International Journal

  • 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, 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, Localization of intravehicular flying robot using particle filter algorithm, Transactions of The Japan Society for Aeronatutical and Space Sciences, vol. 48, No.162, 2006.

Domestic Journal

  • 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, 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, Transactions of the Japan Society for Aeronautical and Space Sciences, vol.54, No.630, 2006. (in Japanese)

International Conference, Workshop

  • Ryohei Fujimaki, Kohei Hayashi: Factorized Asymptotic Bayesian Hidden Markov Model. Proceedings of the 25th international conference on machine learning (ICML), 2012
  • 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)
  • 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

Invited Formal/Informal Talks

  • Beijing Jiaotong University, Data Mining and Intelligent Transportation Systems, 2009/11/10
  • NEC Laboratoies China, Linear Time Model Selection for Mixture of Heterogeneous Components, 2009/11/9
  • Microsoft Research Asia, Linear Time Model Selection for Mixture of Heterogeneous Components, 2009/11/7