国際会議論文

  • 2008年〜現在の論文は、こちらへ
  1. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, and Masayuki Numao," Combining Burst Extraction Method and Sequence-based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell," Proc. of the annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI2007), Vol.2, pp.193--196, 2007.
  2. Kazumi Saito, Ryohei Nakano and Masahiro Kimura, "Prediction of link attachment by estimating probabilities of information propagation," Proc. of the 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007), LNAI, Vol.4694, pp.235--242, 2007.
  3. Manabu Kimura, Kazumi Saito and Naonori Ueda, "Pivot learning for efficient similarity search," Proc. of the 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007), LNAI, Vol.4694, pp.227--234, 2007.
  4. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Interpretable likelihood for vector representable topic," Proc. of the 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007), LNAI, Vol.4694, pp.202--209, 2007.
  5. Pablo A. Estevez, Pablo A. Vera and Kazumi Saito, "Selecting the most influential nodes in social networks." Proc. of the International Joint Conference on Neural Networks (IJCNN2007), pp.2397--2402, 2007.
  6. Masahiro Kimura, Kazumi Saito and Ryohei Nakano, "Extracting influential nodes for information diffusion on a social network," Proc. of the Twenty-Second Conference on Artificial Intelligence (AAAI2007), pp.1371--1376, 2007. PDF
  7. Tomoharu Iwata, Kazumi Saito and Takeshi Yamada, "Modeling user behavior in recommender systems based on maximum entropy," Proc. of the 16th International World Wide Web conference (WWW2007), 1281--1282, 2007. PDF
  8. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "Semi-supervised Learning for Multi-component Data Classification," Proc. of the Twentieth International Joint Conference of Artificial Intelligence (IJCAI2007), pp.2754--2759, 2007. PDF
  9. Kazumi Saito, Takeshi Yamada, and Kazuhiro Kazama, "Extracting Communities from Complex Networks by the k-dense method," Proc. of the ICDM2006 Workshop on Mining Complex Data (MCD2006), 300--304, 2006.
  10. Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi and Ryohei Nakano, "Finding Nominally Conditioned Multivariate Polynomials using a Four-layer Perceptron Having Shared Weights," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006), LNCS, Vol.4252, pp.969--976, 2006.
  11. Kazumi Saito and Ryohei Nakano, "Improving Convergence Performance of PageRank Computation based on Step-length Calculation Approach," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006), LNCS, Vol.4252, pp.945--952, 2006.
  12. Masahiro Kimura and Kazumi Saito, "Approximate Solutions for the Influence Maximization Problem in a Social Network," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006) , LNCS, Vol.4252, pp.937--944, 2006.
  13. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Visualization Architecture Based on SOM for Two-Class Sequential Data," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006), LNCS, Vol.4252, pp.929--936, 2006.
  14. Masahiro Kimura and Kazumi Saito. "Tractable models for information diffusion in social networks," Proc. of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2006), LNAI, Vol.4213, 259--271, 2006.
  15. Tomoharu. Iwata, Kazumi Saito and Takeshi. Yamada, "Recommendation Method for Extending Subscription Periods," Proc. of the 12th International Conference on Knowledge Discovery and Data Mining (KDD2006), pp.574--579, 2006. PDF
  16. Tomoharu Iwata, Kazumi Saito, and Naonori Ueda, "Visual nonlinear discriminant analysis for classifier design," Proc. of the 14th European Symposium on Artificial Neural Networks (ESANN2006) 283--288, 2006. PDF
  17. Takeshi Yamada, Kazumi Saito, and Kazuhiro, Kazama, "Network Analyses to understand the structure of Wikipedia," Proc. of the Adaptation in Artificial and Biological systems (AISB2006), Vol.3, pp.195--198, 2006. PDF
  18. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "A Classifier Design based on Combining Multiple Components by Maximum Entropy Principle," Proc. of the 2nd Asia Information Retrieval Symposium (AIRS2005), pp.423--438, 2005.
  19. Yusuke Tanahashi, Kazumi Saito, and Ryohei Nakano, "Model Selection and Weight Sharing of Multi-layer Perceptrons," Proc. of the 9th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2005), LNCS, Vol.3684, pp.716--722, 2005.
  20. Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama, and Shin-ya Sato, "Detecting Search Engine Spam from a Trackback Network in Blogspace," Proc. of the 9th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2005), LNCS, Vol.3684, pp.723--729, 2005. PDF
  21. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Visualizing Dynamics of the Hot Topic Using Sequence-Based Self-organizing Maps," Proc. of the 9th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2005), LNCS, Vol.3684, pp.745--751, 2005.
  22. Kazumi Saito and Naonori Ueda, "Filtering Search Engine Spam based on Anomaly Detection Approach," Proc. of the KDD2005 Workshop on Data Mining Methods for Anomaly Detection, pp.62--67, 2005. PDF
  23. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "A Hybrid Generative /Discriminative Approach to Semi-Supervised Classifier Design," Proc. of the 20th National Conference on Artificial Intelligence (AAAI2005), pp.764--769, 2005. PDF
  24. Masahiro Kimura, Kazumi Saito and Naonori Ueda, "Multinomial PCA for Extracting Major Latent Topics from Document Streams," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.238--243, 2005.
  25. Kazumi Saito and Ryohei Nakano, "Weight Sharing on Naive Bayes Document Model," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.576--581, 2005.
  26. Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, and Ryohei Nakano, "Finding a Succinct Multi-layer Perceptron Having Shared Weights," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.1418--1423, 2005.
  27. Pablo A. Estevez, Cristian J. Figueroa and Kazumi Saito. "Cross-Entropy Approach to Data Visualization Based on the Neural Gas Network," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.2724--2729, 2005.
  28. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, and Joshua B. Tenenbaum, "Parametric Embedding for Class Visualization," Neural Information Processing Systems 17 (NIPS 2004), pp.617--624, 2004. PDF
  29. Yusuke Tanahashi, Kazumi Saito, and Ryohei Nakano, "Piecewise Multivariate Polynomials Using Four-Layer Perceptron," Proc. of the 8th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2004), LNAI, Vol.3214, pp.602--608, 2004.
  30. Yuji Kaneda, Naonori Ueda, and Kazumi Saito, "Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization," Proc. of the8th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2004), LNAI, Vol.3214, pp.616--623, 2004.
  31. Tomoharu Iwata and Kazumi Saito, "Visualization of Anomaly Using Mixture Model," Proc. of the8th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2004), LNAI, Vol.3214, pp.624--631, 2004.
  32. Kazumi Saito and Ryohei Nakano, "Extracting Characteristic words of text using neural networks," Proc. of the International Joint Conference on Neural Networks (IJCNN2004), pp.1397--1402, 2004.
  33. Naonori Ueda and Kazumi Saito. "Simplex Mixture Models for Multi-topic Text," Proc. of the 30th Anniversary of the Information Criterion (AIC2003), pp.380--381, 2003.
  34. Masahiro Kimura, Kazumi Saito, and Naonori Ueda. "Modeling of Growing Networks with Directional Attachment and Communities," Proc. of European Symposium on Artificial Neural Networks (ESANN2003), pp.15--20, 2003. PDF
  35. Takeshi Yamada, Kazumi Saito, and Naonori Ueda. "Cross-Entropy Directed Embedding of Network Data," Proc. of the 20th International Conference on Machine Learning (ICML2003), pp.832--839, 2003. PDF
  36. Masahiro Kimura, Kazumi Saito, and Naonori Ueda. "Modeling Share Dynamics by Extracting Competition Structure," Proc. of the 30th Anniversary of the Information Criterion (AIC2003) , pp.366--367, 2003. PDF
  37. Pat Langley, Dileep George, Stephen Bay, and Kazumi Saito. "Robust Induction of Process Models from Time-Series Data," Proc. of the 20th International Conference on Machine Learning (ICML2003), pp.432--439, 2003. PDF
  38. Dileep George, Kazumi Satio, Pat Langley, Stephen Bay, and Kevin R. Arrigo. "Discovering Ecosystem Models from Time-Series Data," Proc. of the 6th International Conference on Discovery Science (DS2003), pp.141--152, 2003.
  39. Kazumi Saito, Dileep George, Stephen Bay, and Jeff Shrager. "Inducing Biological Models from Temporal Gene Expression Data," Proc. of the 6th International Conference on Discovery Science (DS2003), pp.468--469, 2003.
  40. Naonori Ueda and Kazumi Saito, "Parametric Mixture Models for Multi-labeled text," Neural Information Processing Systems 17 (NIPS2002), pp. 737--744, 2002. PDF
  41. Kazumi Saito and Ryohei Nakano, "Structuring Neural Networks through Bidirectional Clustering of Weights," Proc. of the 5th International Conference on Discovery Science (DS2002), pp.206--219, 2002.
  42. Kazumi Saito, Stephen Bay, and Pat Langley, "Revising Qualitative Models of Gene Regulation," Proc. of the 5th International Conference on Discovery Science (DS2002), pp.59--70, 2002. PDF
  43. Masahiro Kimura, Kazumi Saito, and Naonori Ueda, "Modeling of Growing Networks with Communities," Proc. of IEEE International Workshop on Neural Networks for Signal Processing (NNSP2002), pp.189--198, 2002.
  44. Naonori Ueda and Kazumi Saito, "Single-shot Detection of Multiple Categories of Text using Parametric Mixture Models," Proc. of the 8th International Conference on Knowledge Discovery and Data Mining (KDD2002), pp.626--631, 2002. PDF
  45. Kazumi Saito and Pat Langley, "Discovering Empirical Laws of Web Dynamics," Proc. of the 2002 Symposium on Applications and the Internet (SAINT2002), pp.168--175, 2002.
  46. Ryohei Nakano and Kazumi Saito, "Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variable," Proc. of the 4th International Conference on Advances in Intelligent Data Analysis (IDA2001), Vol.LNCS2189, pp.258--267, 2001.
  47. Kazumi Saito, Pat Langley, Trond Grenager, and Christpher Potter, "Computational Revision of Quantitative scientific models," Proc. of the 3rd International Conference on Discovery Science (DS2001), Vol.LNAI2226, pp.336--349, 2001. PDF
  48. Kazumi Saito and Ryohei Nakano, "Discovery of a set of nominally conditioned polynomials using neural networks, vector quantizers, and decision trees," Proc. of the 3rd International Conference on Discovery Science (DS2000), pp.325--329, 2000. PDF
  49. Kazumi Saito and Ryohei Nakano, "Discovery of relevant weights by minimizing cross-validation error," Proc. of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2000), pp.372--375, 2000. PDF
  50. K.Saito, N.Ueda, S.Katagiri, Y.Fukai, H.Fujimaru, and M.Fujinawa, "Law discovery from financial data using neural networks," Proc of IEEE/IAFE/INFORMS Conference on Computational Intelligence for Financial Engineering (CIFEr2000), pp.209--212, 2000. PDF
  51. Ryohei Nakano and Kazumi Saito, "Discovery of a set of nominally conditioned polynomials," Proc. of the 2nd International Conference on Discovery Science (DS1999), pp.287--298, 1999.
  52. Ryohei Nakano and Kazumi Saito, "Computational characteristics of law discovery using neural networks," Proc. of the 1st International Conference on Discovery Science (DS1998), pp.342--351, 1998.
  53. Kazumi Saito and Ryohei Nakano, "Numeric Law Discovery Using Neural Networks," Proc. of the 4th International Conference on Neural Information Processing (ICONIP1997), pp.843--846, 1997. PDF
  54. Kazumi Saito and Ryohei Nakano, "Law discovery using neural networks," Proc. of the 15th International Joint Conference on Artificial Intelligence (IJCAI1997), pp.1078--1083, 1997. PDF
  55. Kazumi Saito and Ryohei Nakano, "MDL Regularizer: A New Regularizer based on MDL Principle," Proc. of International Conference on Neural Networks (ICNN1997), pp.1833--1838, 1997. PDF
  56. Kazumi Saito and Ryohei Nakano, "Law discovery using neural networks," Proc. of NIPS'96 Rule-Extraction Workshop, pp.62--69, 1996.
  57. Kazumi Saito and Ryohei Nakano, "Second-order learning algorithm with squared penalty term," Neural Information Processing Systems 11 (NIPS1996), pp.627--633, 1996.
  58. Kazumi Saito and Ryohei Nakano, "A constructive learning algorithm for an HME," Proc. of International Conference on Neural Networks (ICNN1996), pp.1268--1273, 1996. PDF
  59. Ryohei Nakano, Naonori Ueda, Kazumi Saito and M. Takahashi, "Wall map building from fragmentary sonar data," Proc. of RoboLearn '96 Workshop, pp.84--89, 1996.
  60. Ryohei Nakano, Naonori Ueda, Kazumi Saito and Takeshi Yamada, "Parrot-like speaking using optimal vector quantization," Proc. of International Conference on Neural Networks (ICNN1995), pp.2871--2875, 1995.
  61. Kazumi Saito, Ryohei Nakano, "Adaptive Concept Learning Algorithm," IFIP 13th World Computer Congress 94, Vol.1, pp.294--299, 1994.
  62. Ryohei Nakano, Kazumi Saito, Masakatsu Ohta and S.I. Gallant, "DREAM: A heuristic approach to hypersphere minimum covering," Proc. of International Conference on Artificial Neural Networks (ICANN1991), pp.427--432, 1991.
  63. Kazumi Saito and Ryohei Nakano, "Rule extraction from facts and neural nets," Proc. of International Neural Networks Conference (INNC1990), pp.379--382, 1990.
  64. Kazumi Saito and Ryohei Nakano, "Medical diagnostic expert system based on PDP model," Proc. of International Conference on Neural Networks (ICNN1988), pp.255--262, 1988.



Last modified on: Wed. Sep. 21. 2010.