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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