Saito, Kazumi

21 publications

ACML 2013 Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
ECML-PKDD 2012 Opinion Formation by Voter Model with Temporal Decay Dynamics Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
ACML 2011 Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
ACML 2011 Learning Attribute-Weighted Voter Model over Social Networks Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
ACML 2010 Generative Models of Information Diffusion with Asynchronous Timedelay Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
AAAI 2010 Learning to Predict Opinion Share in Social Networks Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
ECML-PKDD 2010 Selecting Information Diffusion Models over Social Networks for Behavioral Analysis Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
IJCAI 2009 Efficient Estimation of Influence Functions for SIS Model on Social Networks Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
ECML-PKDD 2008 Effective Visualization of Information Diffusion Process over Complex Networks Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
AAAI 2008 Minimizing the Spread of Contamination by Blocking Links in a Network Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
AAAI 2007 Extracting Influential Nodes for Information Diffusion on a Social Network Masahiro Kimura, Kazumi Saito, Ryohei Nakano
IJCAI 2007 Semi-Supervised Learning for Multi-Component Data Classification Akinori Fujino, Naonori Ueda, Kazumi Saito
AAAI 2005 A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design Akinori Fujino, Naonori Ueda, Kazumi Saito
NeurIPS 2004 Parametric Embedding for Class Visualization Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
ICML 2003 Cross-Entropy Directed Embedding of Network Data Takeshi Yamada, Kazumi Saito, Naonori Ueda
ICML 2003 Robust Induction of Process Models from Time-Series Data Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito
NeurIPS 2002 Parametric Mixture Models for Multi-Labeled Text Naonori Ueda, Kazumi Saito
NeCo 2000 Second-Order Learning Algorithm with Squared Penalty Term Kazumi Saito, Ryohei Nakano
IJCAI 1997 Law Discovery Using Neural Networks Kazumi Saito, Ryohei Nakano
NeCo 1997 Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks Kazumi Saito, Ryohei Nakano
NeurIPS 1996 Second-Order Learning Algorithm with Squared Penalty Term Kazumi Saito, Ryohei Nakano