Medical diagnostic expert system based on PDP model. - Kazumi Saito; Ryohei Nakano (ICNN, 1988)

A concept learning algorithm with adaptive search. - Kazumi Saito; Ryohei Nakano (Machine Intelligence 14, 1993)

Adaptive Concept Learning Algorithm. - Kazumi Saito; Ryohei Nakano (IFIP Congress (1), 1994)

Parrot-like speaking using optimal vector quantization. - Ryohei Nakano; Naonori Ueda; Kazumi Saito; Takeshi Yamada (ICNN, 1995)

A Connectionist Approach to Numeric Law Discorvery. - Kazumi Saito; Ryohei Nakano (Machine Intelligence 15, 1995)

A constructive learning algorithm for an HME. - Kazumi Saito; Ryohei Nakano (ICNN, 1996)

MDL regularizer: a new regularizer based on the MDL principle. - Kazumi Saito; Ryohei Nakano (ICNN, 1997)

Numeric Law Discovery Using Neural Networks. - Kazumi Saito; Ryohei Nakano (ICONIP (2), 1997)

Law Discovery using Neural Networks. - Kazumi Saito; Ryohei Nakano (IJCAI, 1997)

Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks. - Kazumi Saito; Ryohei Nakano (Neural Comput., 1997)

Computational Characteristics of Law Discovery Using Neural Networks. - Ryohei Nakano; Kazumi Saito (Discovery Science, 1998)

Discovery of a Set of Nominally Conditioned Polynomials. - Ryohei Nakano; Kazumi Saito (Discovery Science, 1999)

Law discovery from financial data using neural networks. - Kazumi Saito; Naonori Ueda; Shigeru Katagiri; Yutaka Fukai; Hiroshi Fujimaru; Masayuki Fujinawa (CIFEr, 2000)

Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. - Kazumi Saito; Ryohei Nakano (Discovery Science, 2000)

Discovery of Relevant Weights by Minimizing Cross-Validation Error. - Kazumi Saito; Ryohei Nakano (PAKDD, 2000)

Second-Order Learning Algorithm with Squared Penalty Term. - Kazumi Saito; Ryohei Nakano (Neural Comput., 2000)

Computational Revision of Quantitative Scientific Models. - Kazumi Saito; Pat Langley; Trond Grenager; Christopher Potter; Alicia Torregrosa; Steven A. Klooster (Discovery Science, 2001)

Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. - Ryohei Nakano; Kazumi Saito (IDA, 2001)

Revising Qualitative Models of Gene Regulation. - Kazumi Saito; Stephen D. Bay; Pat Langley (Discovery Science, 2002)

Structuring Neural Networks through Bidirectional Clustering of Weights. - Kazumi Saito; Ryohei Nakano (Discovery Science, 2002)

Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. - Ryohei Nakano; Kazumi Saito (Progress in Discovery Science, 2002)

Single-shot detection of multiple categories of text using parametric mixture models. - Naonori Ueda; Kazumi Saito (KDD, 2002)

Parametric Mixture Models for Multi-Labeled Text. - Naonori Ueda; Kazumi Saito (NIPS, 2002)

Modeling of growing networks with communities. - Masahiro Kimura; Kazumi Saito; Naonori Ueda (NNSP, 2002)

Discovering Empirical Laws of Web Dynamics. - Kazumi Saito; Pat Langley (SAINT, 2002)

Extracting regression rules from neural networks. - Kazumi Saito; Ryohei Nakano (Neural Networks, 2002)

Discovering Ecosystem Models from Time-Series Data. - Dileep George; Kazumi Saito; Pat Langley; Stephen D. Bay; Kevin R. Arrigo (Discovery Science, 2003)

Inducing Biological Models from Temporal Gene Expression Data. - Kazumi Saito; Dileep George; Stephen D. Bay; Jeff Shrager (Discovery Science, 2003)

Robust Induction of Process Models from Time-Series Data. - Pat Langley; Dileep George; Stephen D. Bay; Kazumi Saito (ICML, 2003)

Cross-Entropy Directed Embedding of Network Data. - Takeshi Yamada; Kazumi Saito; Naonori Ueda (ICML, 2003)

Extracting characteristic words of text using neural networks. - Kazumi Saito; Ryohei Nakano (IJCNN, 2004)

Visualisation of Anomaly Using Mixture Model. - Tomoharu Iwata; Kazumi Saito (KES, 2004)

Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization. - Yuji Kaneda; Naonori Ueda; Kazumi Saito (KES, 2004)

Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. - Yusuke Tanahashi; Kazumi Saito; Ryohei Nakano (KES, 2004)

Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the K-Means Method Using Word Occurrence. - Yuji Kaneda; Naonori Ueda; Kazumi Saito (NTCIR, 2004)

Modeling of growing networks with directional attachment and communities. - Masahiro Kimura; Kazumi Saito; Naonori Ueda (Neural Networks, 2004)

Modeling network growth with directional attachment and communities. - Masahiro Kimura; Kazumi Saito; Naonori Ueda (Syst. Comput. Jpn., 2004)

A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. - Akinori Fujino; Naonori Ueda; Kazumi Saito (AAAI, 2005)

A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. - Akinori Fujino; Naonori Ueda; Kazumi Saito (AIRS, 2005)

Cross-entropy approach to data visualization based on the neural gas network. - Pablo A. Estévez; Cristián J. Figueroa; Kazumi Saito (IJCNN, 2005)

Multinomial PCA for extracting major latent topics from document streams. - Masahiro Kimura; Kazumi Saito; Naonori Ueda (IJCNN, 2005)

Weight sharing on naive Bayes document model. - Kazumi Saito; Ryohei Nakano (IJCNN, 2005)

Finding a succinct multi-layer perceptron having shared weights. - Yusuke Tanahashi; Xiang-Fang Chin; Kazumi Saito; Ryohei Nakano (IJCNN, 2005)

Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps. - Ken-ichi Fukui; Kazumi Saito; Masahiro Kimura; Masayuki Numao (KES (4), 2005)

Detecting Search Engine Spam from a Trackback Network in Blogspace. - Masahiro Kimura; Kazumi Saito; Kazuhiro Kazama; Shin-ya Sato (KES (4), 2005)

Model Selection and Weight Sharing of Multi-layer Perceptrons. - Yusuke Tanahashi; Kazumi Saito; Ryohei Nakano (KES (4), 2005)

Visualization of Anomalies Using Mixture Models. - Tomoharu Iwata; Kazumi Saito (J. Intell. Manuf., 2005)

Cross-entropy embedding of high-dimensional data using the neural gas model. - Pablo A. Estévez; Cristián J. Figueroa; Kazumi Saito (Neural Networks, 2005)

Visual nonlinear discriminant analysis for classifier design. - Tomoharu Iwata; Kazumi Saito; Naonori Ueda (ESANN, 2006)

Extracting Communities from Complex Networks by the k-dense Method. - Kazumi Saito; Takeshi Yamada (ICDM Workshops, 2006)

Recommendation method for extending subscription periods. - Tomoharu Iwata; Kazumi Saito; Takeshi Yamada (KDD, 2006)

Visualization Architecture Based on SOM for Two-Class Sequential Data. - Ken-ichi Fukui; Kazumi Saito; Masahiro Kimura; Masayuki Numao (KES (2), 2006)

Approximate Solutions for the Influence Maximization Problem in a Social Network. - Masahiro Kimura; Kazumi Saito (KES (2), 2006)

Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. - Kazumi Saito; Ryohei Nakano (KES (2), 2006)

Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. - Yusuke Tanahashi; Kazumi Saito; Daisuke Kitakoshi; Ryohei Nakano (KES (2), 2006)

Tractable Models for Information Diffusion in Social Networks. - Masahiro Kimura; Kazumi Saito (PKDD, 2006)

Parametric mixture model for multitopic text. - Naonori Ueda; Kazumi Saito (Syst. Comput. Jpn., 2006)

Extracting Influential Nodes for Information Diffusion on a Social Network. - Masahiro Kimura; Kazumi Saito; Ryohei Nakano (AAAI, 2007)

Quantitative Revision of Scientific Models. - Kazumi Saito; Pat Langley (Computational Discovery of Scientific Knowledge, 2007)

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 (ICTAI (2), 2007)

Semi-Supervised Learning for Multi-Component Data Classification. - Akinori Fujino; Naonori Ueda; Kazumi Saito (IJCAI, 2007)

Selecting the Most Influential Nodes in Social Networks. - Pablo A. Estévez; Pablo A. Vera; Kazumi Saito (IJCNN, 2007)

Interpretable Likelihood for Vector Representable Topic. - Ken-ichi Fukui; Kazumi Saito; Masahiro Kimura; Masayuki Numao (KES (3), 2007)

Pivot Learning for Efficient Similarity Search. - Manabu Kimura; Kazumi Saito; Naonori Ueda (KES (3), 2007)

Prediction of Link Attachments by Estimating Probabilities of Information Propagation. - Kazumi Saito; Ryohei Nakano; Masahiro Kimura (KES (3), 2007)

Modeling user behavior in recommender systems based on maximum entropy. - Tomoharu Iwata; Kazumi Saito; Takeshi Yamada (WWW, 2007)

A hybrid generative/discriminative approach to text classification with additional information. - Akinori Fujino; Naonori Ueda; Kazumi Saito (Inf. Process. Manag., 2007)

Parametric Embedding for Class Visualization. - Tomoharu Iwata; Kazumi Saito; Naonori Ueda; Sean Stromsten; Thomas L. Griffiths 001; Joshua B. Tenenbaum (Neural Comput., 2007)

Bidirectional clustering of weights for neural networks with common weights. - Kazumi Saito; Ryohei Nakano (Syst. Comput. Jpn., 2007)

Sequence-based SOM: Visualizing transition of dynamic clusters. - Ken-ichi Fukui; Kazumi Saito; Masahiro Kimura; Masayuki Numao (CIT, 2008)

Minimizing the Spread of Contamination by Blocking Links in a Network. - Masahiro Kimura; Kazumi Saito; Hiroshi Motoda (AAAI, 2008)

Community analysis of influential nodes for information diffusion on a social network. - Masahiro Kimura; Kazumasa Yamakawa; Kazumi Saito; Hiroshi Motoda (IJCNN, 2008)

Improving Search Efficiency of Incremental Variable Selection by Using Second-Order Optimal Criterion. - Kazumi Saito; Nobuaki Mutoh; Tetsuo Ikeda; Toshinao Goda; Kazuki Mochizuki (KES (3), 2008)

Prediction of Information Diffusion Probabilities for Independent Cascade Model. - Kazumi Saito; Ryohei Nakano; Masahiro Kimura (KES (3), 2008)

What Does an Information Diffusion Model Tell about Social Network Structure?. - Takayasu Fushimi; Takashi Kawazoe; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (PKAW, 2008)

Effective Visualization of Information Diffusion Process over Complex Networks. - Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (ECML/PKDD (2), 2008)

Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. - Masahiro Kimura; Kazumi Saito; Hiroshi Motoda (PRICAI, 2008)

Extracting Communities from Complex Networks by the k-Dense Method. - Kazumi Saito; Takeshi Yamada; Kazuhiro Kazama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle. - Akinori Fujino; Naonori Ueda; Kazumi Saito (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Recommendation Method for Improving Customer Lifetime Value. - Tomoharu Iwata; Kazumi Saito; Takeshi Yamada (IEEE Trans. Knowl. Data Eng., 2008)

Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (ACML, 2009)

Fast Similarity Search in Small-World Networks. - Kazuo Aoyama; Kazumi Saito; Takeshi Yamada; Naonori Ueda (CompleNet, 2009)

Discovering Influential Nodes for SIS Models in Social Networks. - Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (Discovery Science, 2009)

Efficient Estimation of Influence Functions for SIS Model on Social Networks. - Masahiro Kimura; Kazumi Saito; Hiroshi Motoda (IJCAI, 2009)

Growth Analysis of Neighbor Network for Evaluation of Damage Progress. - Ken-ichi Fukui; Kazuhisa Sato; Junichiro Mizusaki; Kazumi Saito; Masahiro Kimura; Masayuki Numao (PAKDD, 2009)

Blocking links to minimize contamination spread in a social network. - Masahiro Kimura; Kazumi Saito; Hiroshi Motoda (ACM Trans. Knowl. Discov. Data, 2009)

The k-Dense Method to Extract Communities from Complex Networks. - Kazumi Saito; Takeshi Yamada; Kazuhiro Kazama (Mining Complex Data, 2009)

Learning to Predict Opinion Share in Social Networks. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (AAAI, 2010)

Discovery of Super-Mediators of Information Diffusion in Social Networks. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (Discovery Science, 2010)

Nominally Conditioned Linear Regression. - Yusuke Tanahashi; Ryohei Nakano; Kazumi Saito (ICANN (3), 2010)

Fast similarity search on a large speech data set with neighborhood graph indexing. - Kazuo Aoyama; Shinji Watanabe 001; Hiroshi Sawada; Yasuhiro Minami; Naonori Ueda; Kazumi Saito (ICASSP, 2010)

Finding Relation between PageRank and Voter Model. - Takayasu Fushimi; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda; Kouzou Ohara (PKAW, 2010)

Acquiring Expected Influence Curve from Single Diffusion Sequence. - Yuya Yoshikawa; Kazumi Saito; Hiroshi Motoda; Kouzou Ohara; Masahiro Kimura (PKAW, 2010)

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (ECML/PKDD (3), 2010)

Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (PRICAI, 2010)

Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (SBP, 2010)

Extracting influential nodes on a social network for information diffusion. - Masahiro Kimura; Kazumi Saito; Ryohei Nakano; Hiroshi Motoda (Data Min. Knowl. Discov., 2010)

Generative Models of Information Diffusion with Asynchronous Timedelay. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (ACML, 2010)

Speeding Up Bipartite Graph Visualization Method. - Takayasu Fushimi; Yamato Kubota; Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (Australasian Conference on Artificial Intelligence, 2011)

Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (Discovery Science, 2011)

Learning Diffusion Probability Based on Node Attributes in Social Networks. - Kazumi Saito; Kouzou Ohara; Yuki Yamagishi; Masahiro Kimura; Hiroshi Motoda (ISMIS, 2011)

Fast approximate similarity search based on degree-reduced neighborhood graphs. - Kazuo Aoyama; Kazumi Saito; Hiroshi Sawada; Naonori Ueda (KDD, 2011)

Detecting Changes in Opinion Value Distribution for Voter Model. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (SBP, 2011)

Efficient Detection of Hot Span in Information Diffusion from Observation - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (CoRR, 2011)

Learning information diffusion model in a social network for predicting influence of nodes. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (Intell. Data Anal., 2011)

Estimating Diffusion Probability Changes for AsIC-SIS Model. - 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, 2011)

Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (Discovery Science, 2012)

Extracting Communities in Networks Based on Functional Properties of Nodes. - Takayasu Fushimi; Kazumi Saito; Kazuhiro Kazama (PKAW, 2012)

Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. - Shoko Kato; Akihiro Koide; Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (PKAW, 2012)

Opinion Formation by Voter Model with Temporal Decay Dynamics. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (ECML/PKDD (2), 2012)

Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (SBP, 2012)

Graph embedding on spheres and its application to visualization of information diffusion data. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (WWW (Companion Volume), 2012)

Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (CoRR, 2012)

Efficient discovery of influential nodes for SIS models in social networks. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (Knowl. Inf. Syst., 2012)

Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (ACML, 2013)

Detecting changes in content and posting time distributions in social media. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (ASONAM, 2013)

Identifying Super-Mediators of Information Diffusion in Social Networks. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (Discovery Science, 2013)

Which Targets to Contact First to Maximize Influence over Social Network. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (SBP, 2013)

Learning to predict opinion share and detect anti-majority opinionists in social networks. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (J. Intell. Inf. Syst., 2013)

Detecting changes in information diffusion patterns over social networks. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (ACM Trans. Intell. Syst. Technol., 2013)

Resampling-Based Framework for Estimating Node Centrality of Large Social Network. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (Discovery Science, 2014)

Efficient analysis of node influence based on SIR model over huge complex networks. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (DSAA, 2014)

Estimating Network Structure from Anonymous Ego-centric Information. - Takayasu Fushimi; Kazumi Saito; Kazuhiro Kazama (PKAW, 2014)

Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. - Keito Hatta; Masahito Kumano; Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (PRICAI, 2014)

MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs. - Shoko Kato; Kazumi Saito; Kazuhiro Kazama; Tetsuji Satoh (PRICAI, 2014)

Similarity Search by Generating Pivots Based on Manhattan Distance. - Eri Kobayashi; Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda (PRICAI, 2014)

A Method to Divide Stream Data of Scores over Review Sites. - Yuki Yamagishi; Seiya Okubo; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (PRICAI, 2014)

A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (SBP, 2014)

Combining activity-evaluation information with NMF for trust-link prediction in social media. - Kanji Matsutani; Masahito Kumano; Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (IEEE BigData, 2015)

Change Point Detection for Information Diffusion Tree. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (Discovery Science, 2015)

Comparison of influence measures on structural changes focused on node functions. - Takayasu Fushimi; Tetsuji Satoh; Kazumi Saito; Kazuhiro Kazama (iiWAS, 2015)

Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (PAKDD (1), 2015)

Efficient Learning of User Conformity on Review Score. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (SBP, 2015)

Change point detection for burst analysis from an observed information diffusion sequence of tweets. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (J. Intell. Inf. Syst., 2015)

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 (AINA, 2016)

Functional cluster extraction from large spatial networks. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (ASONAM, 2016)

Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (DS, 2016)

Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (PRICAI, 2016)

Modeling of Travel Behavior Processes from Social Media. - Yuki Yamagishi; Kazumi Saito; Tetsuo Ikeda (PRICAI, 2016)

Pivot-based k-means Algorithm for Numerous-class Data Sets. - Takashi Hattori; Kazuo Aoyama; Kazumi Saito; Tetsuo Ikeda; Eri Kobayashi (SDM, 2016)

Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights. - Takayasu Fushimi; Tetsuji Satoh; Kazumi Saito; Kazuhiro Kazama; Noriko Kando (SocInfo (2), 2016)

Speeding-up node influence computation for huge social networks. - Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (Int. J. Data Sci. Anal., 2016)

Super mediator - A new centrality measure of node importance for information diffusion over social network. - Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (Inf. Sci., 2016)

Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (COMPLEX NETWORKS, 2017)

Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (DSAA, 2017)

Discovering Cooperative Structure Among Online Items for Attention Dynamics. - Kanji Matsutani; Masahito Kumano; Masahiro Kimura; Kazumi Saito; Kouzou Ohara; Hiroshi Motoda (ICDM Workshops, 2017)

Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (ISMIS, 2017)

An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (ISMIS, 2017)

Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites. - Yuki Yamagishi; Kazumi Saito (ISMIS, 2017)

Efficient Similarity Search with a Pivot-Based Complete Binary Tree. - Yuki Yamagishi; Kazuo Aoyama; Kazumi Saito; Tetsuo Ikeda (IEICE Trans. Inf. Syst., 2017)

Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (J. Inf. Process., 2017)

A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (COMPLEX NETWORKS (1), 2018)

Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (CANDAR, 2018)

Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (ISMIS, 2018)

Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (PRICAI (1), 2018)

Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (Appl. Netw. Sci., 2018)

Which is more influential, "Who" or "When" for a user to rate in online review site? - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (Intell. Data Anal., 2018)

Accelerating a Lloyd-Type k-Means Clustering Algorithm with Summable Lower Bounds in a Lower-Dimensional Space. - Kazuo Aoyama; Kazumi Saito; Tetsuo Ikeda (IEICE Trans. Inf. Syst., 2018)

Pivot Generation Algorithm with a Complete Binary Tree for Efficient Exact Similarity Search. - Yuki Yamagishi; Kazuo Aoyama; Kazumi Saito; Tetsuo Ikeda (IEICE Trans. Inf. Syst., 2018)

Accurate and efficient detection of critical links in network to minimize information loss. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (J. Intell. Inf. Syst., 2018)

Facility Location Problem on Network Based on Group Centrality Measure Considering Cooperation and Competition. - Takayasu Fushimi; Seiya Okubo; Kazumi Saito (COMPLEX NETWORKS (1), 2019)

Construction of Histogram with Variable Bin-Width Based on Change Point Detection. - Takayasu Fushimi; Kiyoto Iwasaki; Seiya Okubo; Kazumi Saito (DS, 2019)

Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (DS, 2019)

Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. - Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (PRICAI (2), 2019)

Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (Appl. Netw. Sci., 2019)

Critical Node Identification based on Articulation Point Detection for Uncertain Network. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (Int. J. Netw. Comput., 2019)

Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. - Takayasu Fushimi; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (ASONAM, 2020)

Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. - Takayasu Fushimi; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (IEEE BigData, 2020)

Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes. - Yuki Yamagishi; Kazumi Saito; Kazuro Hirahara; Naonori Ueda (COMPLEX NETWORKS (1), 2020)

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 (DS, 2020)

Multiple perspective centrality measures based on facility location problem under inter-group competitive environment. - Takayasu Fushimi; Seiya Okubo; Kazumi Saito (Appl. Netw. Sci., 2020)

Inverted-File k-Means Clustering: Performance Analysis. - Kazuo Aoyama; Kazumi Saito; Tetsuo Ikeda (CoRR, 2020)

Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. - Kouzou Ohara; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (Int. J. Data Sci. Anal., 2020)

Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. - Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (ASONAM, 2021)

Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric. - Yuki Yamagishi; Kazumi Saito; Kazuro Hirahara; Naonori Ueda (COMPLEX NETWORKS, 2021)

Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation. - Yuki Yamagishi; Kazumi Saito; Kazuro Hirahara; Naonori Ueda (PRICAI (1), 2021)

Spatio-temporal clustering of earthquakes based on distribution of magnitudes. - Yuki Yamagishi; Kazumi Saito; Kazuro Hirahara; Naonori Ueda (Appl. Netw. Sci., 2021)

Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data. - Kazuo Aoyama; Kazumi Saito (CoRR, 2021)

Efficient computation of target-oriented link criticalness centrality in uncertain graphs. - Kazumi Saito; Takayasu Fushimi; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (Intell. Data Anal., 2021)

CPI-model-based analysis of sparse k-means clustering algorithms. - Kazuo Aoyama; Kazumi Saito; Tetsuo Ikeda (Int. J. Data Sci. Anal., 2021)

General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. - Takayasu Fushimi; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (Soc. Netw. Anal. Min., 2021)

Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition. - Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (Soc. Netw. Anal. Min., 2022)

Constructing outlier-free histograms with variable bin-width based on distance minimization. - Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (Intell. Data Anal., 2023)

Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric. - Yuki Yamagishi; Kazumi Saito; Kazuro Hirahara; Naonori Ueda (Appl. Netw. Sci., 2023)

Accelerating spherical K-means clustering for large-scale sparse document data. - Kazuo Aoyama; Kazumi Saito (CoRR, 2024)