| 2021 | PRICAI | Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation. | Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda |
| 2020 | DIS | Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. | Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2019 | DIS | Construction of Histogram with Variable Bin-Width Based on Change Point Detection. | Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito |
| 2019 | DIS | Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2019 | PRICAI | Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2018 | ISMIS | Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2018 | PRICAI | Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2017 | DSAA | Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2017 | ICDM | Discovering Cooperative Structure Among Online Items for Attention Dynamics. | Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2017 | ISMIS | Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation. | Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama |
| 2017 | ISMIS | An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2017 | ISMIS | Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites. | Yuki Yamagishi, Kazumi Saito |
| 2016 | AINA | Characterizing Similarity Structure of Spatial Networks Based on Degree Mixing Patterns. | Arief Maulana, Kazumi Saito, Tetsuo Ikeda, Hiroaki Yuze, Takayuki Watanabe, Seiya Okubo, Nobuaki Mutoh |
| 2016 | DIS | Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2016 | PRICAI | Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2016 | PRICAI | Modeling of Travel Behavior Processes from Social Media. | Yuki Yamagishi, Kazumi Saito, Tetsuo Ikeda |
| 2016 | SDM | Pivot-based k-means Algorithm for Numerous-class Data Sets. | Takashi Hattori, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, Eri Kobayashi |
| 2015 | DIS | Change Point Detection for Information Diffusion Tree. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2015 | IIWAS | Comparison of influence measures on structural changes focused on node functions. | Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, Kazuhiro Kazama |
| 2015 | PAKDD | Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2014 | DIS | Resampling-Based Framework for Estimating Node Centrality of Large Social Network. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2014 | DSAA | Efficient analysis of node influence based on SIR model over huge complex networks. | Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2014 | PKAW | Estimating Network Structure from Anonymous Ego-centric Information. | Takayasu Fushimi, Kazumi Saito, Kazuhiro Kazama |
| 2014 | PRICAI | Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. | Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2014 | PRICAI | MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs. | Shoko Kato, Kazumi Saito, Kazuhiro Kazama, Tetsuji Satoh |
| 2014 | PRICAI | Similarity Search by Generating Pivots Based on Manhattan Distance. | Eri Kobayashi, Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda |
| 2014 | PRICAI | A Method to Divide Stream Data of Scores over Review Sites. | Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2013 | ACML | Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. | Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2013 | DIS | Identifying Super-Mediators of Information Diffusion in Social Networks. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2012 | DIS | Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2012 | PKAW | Extracting Communities in Networks Based on Functional Properties of Nodes. | Takayasu Fushimi, Kazumi Saito, Kazuhiro Kazama |
| 2012 | PKAW | Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. | Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda |
| 2012 | WWW | Graph embedding on spheres and its application to visualization of information diffusion data. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2011 | DIS | Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. | Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2011 | ISMIS | Learning Diffusion Probability Based on Node Attributes in Social Networks. | Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, Hiroshi Motoda |
| 2011 | KDD | Fast approximate similarity search based on degree-reduced neighborhood graphs. | Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda |
| 2010 | AAAI | Learning to Predict Opinion Share in Social Networks. | Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda |
| 2010 | DIS | Discovery of Super-Mediators of Information Diffusion in Social Networks. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2010 | ICANN | Nominally Conditioned Linear Regression. | Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito |
| 2010 | ICASSP | Fast similarity search on a large speech data set with neighborhood graph indexing. | Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, Kazumi Saito |
| 2010 | PKAW | Finding Relation between PageRank and Voter Model. | Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara |
| 2010 | PKAW | Acquiring Expected Influence Curve from Single Diffusion Sequence. | Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura |
| 2010 | PRICAI | Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2009 | ACML | Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
| 2009 | DIS | Discovering Influential Nodes for SIS Models in Social Networks. | Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2009 | IJCAI | Efficient Estimation of Influence Functions for SIS Model on Social Networks. | Masahiro Kimura, Kazumi Saito, Hiroshi Motoda |
| 2009 | PAKDD | Growth Analysis of Neighbor Network for Evaluation of Damage Progress. | Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, Masayuki Numao |
| 2008 | AAAI | Minimizing the Spread of Contamination by Blocking Links in a Network. | Masahiro Kimura, Kazumi Saito, Hiroshi Motoda |
| 2008 | IJCNN | Community analysis of influential nodes for information diffusion on a social network. | Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda |
| 2008 | KES | Improving Search Efficiency of Incremental Variable Selection by Using Second-Order Optimal Criterion. | Kazumi Saito, Nobuaki Mutoh, Tetsuo Ikeda, Toshinao Goda, Kazuki Mochizuki |
| 2008 | KES | Prediction of Information Diffusion Probabilities for Independent Cascade Model. | Kazumi Saito, Ryohei Nakano, Masahiro Kimura |
| 2008 | PKAW | What Does an Information Diffusion Model Tell about Social Network Structure?. | Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda |
| 2008 | PRICAI | Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. | Masahiro Kimura, Kazumi Saito, Hiroshi Motoda |
| 2007 | AAAI | Extracting Influential Nodes for Information Diffusion on a Social Network. | Masahiro Kimura, Kazumi Saito, Ryohei Nakano |
| 2007 | IJCAI | Semi-Supervised Learning for Multi-Component Data Classification. | Akinori Fujino, Naonori Ueda, Kazumi Saito |
| 2007 | IJCNN | Selecting the Most Influential Nodes in Social Networks. | Pablo A. Estvez, Pablo A. Vera, Kazumi Saito |
| 2007 | ICTAI | Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell. | Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masayuki Numao |
| 2007 | KES | Interpretable Likelihood for Vector Representable Topic. | Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao |
| 2007 | KES | Pivot Learning for Efficient Similarity Search. | Manabu Kimura, Kazumi Saito, Naonori Ueda |
| 2007 | KES | Prediction of Link Attachments by Estimating Probabilities of Information Propagation. | Kazumi Saito, Ryohei Nakano, Masahiro Kimura |
| 2007 | WWW | Modeling user behavior in recommender systems based on maximum entropy. | Tomoharu Iwata, Kazumi Saito, Takeshi Yamada |
| 2006 | ESANN | Visual nonlinear discriminant analysis for classifier design. | Tomoharu Iwata, Kazumi Saito, Naonori Ueda |
| 2006 | ICDM | Extracting Communities from Complex Networks by the k-dense Method. | Kazumi Saito, Takeshi Yamada |
| 2006 | KDD | Recommendation method for extending subscription periods. | Tomoharu Iwata, Kazumi Saito, Takeshi Yamada |
| 2006 | KES | Visualization Architecture Based on SOM for Two-Class Sequential Data. | Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao |
| 2006 | KES | Approximate Solutions for the Influence Maximization Problem in a Social Network. | Masahiro Kimura, Kazumi Saito |
| 2006 | KES | Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. | Kazumi Saito, Ryohei Nakano |
| 2006 | KES | Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. | Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano |
| 2005 | AAAI | A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. | Akinori Fujino, Naonori Ueda, Kazumi Saito |
| 2005 | IJCNN | Cross-entropy approach to data visualization based on the neural gas network. | Pablo A. Estvez, Cristin J. Figueroa, Kazumi Saito |
| 2005 | IJCNN | Multinomial PCA for extracting major latent topics from document streams. | Masahiro Kimura, Kazumi Saito, Naonori Ueda |
| 2005 | IJCNN | Weight sharing on naive Bayes document model. | Kazumi Saito, Ryohei Nakano |
| 2005 | IJCNN | Finding a succinct multi-layer perceptron having shared weights. | Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, Ryohei Nakano |
| 2005 | KES | Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps. | Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao |
| 2005 | KES | Detecting Search Engine Spam from a Trackback Network in Blogspace. | Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama, Shin-ya Sato |
| 2005 | KES | Model Selection and Weight Sharing of Multi-layer Perceptrons. | Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano |
| 2004 | IJCNN | Extracting characteristic words of text using neural networks. | Kazumi Saito, Ryohei Nakano |
| 2004 | KES | Visualisation of Anomaly Using Mixture Model. | Tomoharu Iwata, Kazumi Saito |
| 2004 | KES | Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization. | Yuji Kaneda, Naonori Ueda, Kazumi Saito |
| 2004 | KES | Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. | Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano |
| 2003 | DIS | Discovering Ecosystem Models from Time-Series Data. | Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo |
| 2003 | DIS | Inducing Biological Models from Temporal Gene Expression Data. | Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager |
| 2003 | ESANN | Modeling of growing networks with directional attachment and communities. | Masahiro Kimura, Kazumi Saito, Naonori Ueda |
| 2003 | ICML | Robust Induction of Process Models from Time-Series Data. | Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito |
| 2003 | ICML | Cross-Entropy Directed Embedding of Network Data. | Takeshi Yamada, Kazumi Saito, Naonori Ueda |
| 2002 | DIS | Revising Qualitative Models of Gene Regulation. | Kazumi Saito, Stephen D. Bay, Pat Langley |
| 2002 | DIS | Structuring Neural Networks through Bidirectional Clustering of Weights. | Kazumi Saito, Ryohei Nakano |
| 2002 | KDD | Single-shot detection of multiple categories of text using parametric mixture models. | Naonori Ueda, Kazumi Saito |
| 2001 | DIS | Computational Revision of Quantitative Scientific Models. | Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster |
| 2001 | IDA | Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. | Ryohei Nakano, Kazumi Saito |
| 2000 | DIS | Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. | Kazumi Saito, Ryohei Nakano |
| 2000 | PAKDD | Discovery of Relevant Weights by Minimizing Cross-Validation Error. | Kazumi Saito, Ryohei Nakano |
| 1999 | DIS | Discovery of a Set of Nominally Conditioned Polynomials. | Ryohei Nakano, Kazumi Saito |
| 1998 | DIS | Computational Characteristics of Law Discovery Using Neural Networks. | Ryohei Nakano, Kazumi Saito |
| 1997 | ICONIP | Numeric Law Discovery Using Neural Networks. | Kazumi Saito, Ryohei Nakano |
| 1997 | IJCAI | Law Discovery using Neural Networks. | Kazumi Saito, Ryohei Nakano |