Kazumi Saito - RankMe

191 papers A* 12A 1B 49C 18Misc 1Journal 47Unranked 61

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Method for Accelerating Node Influence Computation in Social Networks Focusing on the Largest Strongly Connected Component. CANDARW Xiaoyan Li, Kazumi Saito
2025	J	`jnl`	Accelerating Spherical K-Means Clustering for Large-Scale Sparse Document Data. IEEE Trans. Knowl. Data Eng. Kazuo Aoyama, Kazumi Saito
2024	J	`jnl`	Accelerating spherical K-means clustering for large-scale sparse document data. CoRR Kazuo Aoyama, Kazumi Saito
2023	J	`jnl`	Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric. Appl. Netw. Sci. Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2023	J	`jnl`	Constructing outlier-free histograms with variable bin-width based on distance minimization. Intell. Data Anal. Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2022	J	`jnl`	Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition. Soc. Netw. Anal. Min. Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2021	J	`jnl`	CPI-model-based analysis of sparse k-means clustering algorithms. Int. J. Data Sci. Anal. Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda
2021	—	`conf`	Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric. COMPLEX NETWORKS Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2021	B	`conf`	Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. ASONAM Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2021	J	`jnl`	Efficient computation of target-oriented link criticalness centrality in uncertain graphs. Intell. Data Anal. Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2021	J	`jnl`	General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. Soc. Netw. Anal. Min. Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2021	—	`conf`	Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation. PRICAI (1) Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2021	J	`jnl`	Spatio-temporal clustering of earthquakes based on distribution of magnitudes. Appl. Netw. Sci. Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2021	J	`jnl`	Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data. CoRR Kazuo Aoyama, Kazumi Saito
2020	—	`conf`	Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. IEEE BigData Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2020	J	`jnl`	Inverted-File k-Means Clustering: Performance Analysis. CoRR Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda
2020	B	`conf`	Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. DS Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2020	J	`jnl`	Multiple perspective centrality measures based on facility location problem under inter-group competitive environment. Appl. Netw. Sci. Takayasu Fushimi, Seiya Okubo, Kazumi Saito
2020	B	`conf`	Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. ASONAM Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2020	J	`jnl`	Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. Int. J. Data Sci. Anal. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2020	—	`conf`	Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes. COMPLEX NETWORKS (1) Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, Naonori Ueda
2019	B	`conf`	Construction of Histogram with Variable Bin-Width Based on Change Point Detection. DS Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito
2019	J	`jnl`	Critical Node Identification based on Articulation Point Detection for Uncertain Network. Int. J. Netw. Comput. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2019	—	`conf`	Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. PRICAI (2) Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2019	J	`jnl`	Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling. Appl. Netw. Sci. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2019	—	`conf`	Facility Location Problem on Network Based on Group Centrality Measure Considering Cooperation and Competition. COMPLEX NETWORKS (1) Takayasu Fushimi, Seiya Okubo, Kazumi Saito
2019	B	`conf`	Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. DS Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	—	`conf`	A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity. COMPLEX NETWORKS (1) Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2018	J	`jnl`	Accelerating a Lloyd-Type k-Means Clustering Algorithm with Summable Lower Bounds in a Lower-Dimensional Space. IEICE Trans. Inf. Syst. Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda
2018	J	`jnl`	Accurate and efficient detection of critical links in network to minimize information loss. J. Intell. Inf. Syst. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	C	`conf`	Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. ISMIS Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	—	`conf`	Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity. CANDAR Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2018	—	`conf`	Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. PRICAI (1) Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2018	J	`jnl`	Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas. Appl. Netw. Sci. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2018	J	`jnl`	Pivot Generation Algorithm with a Complete Binary Tree for Efficient Exact Similarity Search. IEICE Trans. Inf. Syst. Yuki Yamagishi, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda
2018	J	`jnl`	Which is more influential, "Who" or "When" for a user to rate in online review site? Intell. Data Anal. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2017	C	`conf`	Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation. ISMIS Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2017	C	`conf`	An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. ISMIS Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2017	J	`jnl`	Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks. J. Inf. Process. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2017	—	`conf`	Discovering Cooperative Structure Among Online Items for Attention Dynamics. ICDM Workshops Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2017	J	`jnl`	Efficient Similarity Search with a Pivot-Based Complete Binary Tree. IEICE Trans. Inf. Syst. Yuki Yamagishi, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda
2017	—	`conf`	Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning. COMPLEX NETWORKS Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2017	B	`conf`	Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. DSAA Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2017	C	`conf`	Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites. ISMIS Yuki Yamagishi, Kazumi Saito
2016	B	`conf`	Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. DS Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2016	B	`conf`	Characterizing Similarity Structure of Spatial Networks Based on Degree Mixing Patterns. AINA Arief Maulana, Kazumi Saito, Tetsuo Ikeda, Hiroaki Yuze, Takayuki Watanabe, Seiya Okubo, Nobuaki Mutoh
2016	—	`conf`	Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights. SocInfo (2) Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, Kazuhiro Kazama, Noriko Kando
2016	B	`conf`	Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. PRICAI Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2016	B	`conf`	Functional cluster extraction from large spatial networks. ASONAM Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
2016	B	`conf`	Modeling of Travel Behavior Processes from Social Media. PRICAI Yuki Yamagishi, Kazumi Saito, Tetsuo Ikeda
2016	A	`conf`	Pivot-based k-means Algorithm for Numerous-class Data Sets. SDM Takashi Hattori, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, Eri Kobayashi
2016	J	`jnl`	Speeding-up node influence computation for huge social networks. Int. J. Data Sci. Anal. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2016	J	`jnl`	Super mediator - A new centrality measure of node importance for information diffusion over social network. Inf. Sci. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2015	B	`conf`	Change Point Detection for Information Diffusion Tree. Discovery Science Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2015	J	`jnl`	Change point detection for burst analysis from an observed information diffusion sequence of tweets. J. Intell. Inf. Syst. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2015	—	`conf`	Combining activity-evaluation information with NMF for trust-link prediction in social media. IEEE BigData Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2015	C	`conf`	Comparison of influence measures on structural changes focused on node functions. iiWAS Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, Kazuhiro Kazama
2015	—	`conf`	Efficient Learning of User Conformity on Review Score. SBP Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2015	—	`conf`	Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. PAKDD (1) Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2014	B	`conf`	A Method to Divide Stream Data of Scores over Review Sites. PRICAI Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2014	—	`conf`	A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2014	B	`conf`	Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. PRICAI Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2014	B	`conf`	Efficient analysis of node influence based on SIR model over huge complex networks. DSAA Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2014	C	`conf`	Estimating Network Structure from Anonymous Ego-centric Information. PKAW Takayasu Fushimi, Kazumi Saito, Kazuhiro Kazama
2014	B	`conf`	MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs. PRICAI Shoko Kato, Kazumi Saito, Kazuhiro Kazama, Tetsuji Satoh
2014	B	`conf`	Resampling-Based Framework for Estimating Node Centrality of Large Social Network. Discovery Science Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2014	B	`conf`	Similarity Search by Generating Pivots Based on Manhattan Distance. PRICAI Eri Kobayashi, Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda
2013	B	`conf`	Detecting changes in content and posting time distributions in social media. ASONAM Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2013	J	`jnl`	Detecting changes in information diffusion patterns over social networks. ACM Trans. Intell. Syst. Technol. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2013	B	`conf`	Identifying Super-Mediators of Information Diffusion in Social Networks. Discovery Science Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2013	J	`jnl`	Learning to predict opinion share and detect anti-majority opinionists in social networks. J. Intell. Inf. Syst. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2013	C	`conf`	Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. ACML Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2013	—	`conf`	Which Targets to Contact First to Maximize Influence over Social Network. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	B	`conf`	Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. Discovery Science Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2012	—	`conf`	Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models. SBP Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2012	J	`jnl`	Efficient discovery of influential nodes for SIS models in social networks. Knowl. Inf. Syst. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	C	`conf`	Extracting Communities in Networks Based on Functional Properties of Nodes. PKAW Takayasu Fushimi, Kazumi Saito, Kazuhiro Kazama
2012	—	`conf`	Graph embedding on spheres and its application to visualization of information diffusion data. WWW (Companion Volume) Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	J	`jnl`	Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks CoRR Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2012	C	`conf`	Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. PKAW Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
2012	—	`conf`	Opinion Formation by Voter Model with Temporal Decay Dynamics. ECML/PKDD (2) Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2011	B	`conf`	Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. Discovery Science Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2011	—	`conf`	Detecting Changes in Opinion Value Distribution for Voter Model. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2011	J	`jnl`	Efficient Detection of Hot Span in Information Diffusion from Observation CoRR Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2011	C	`conf`	Estimating Diffusion Probability Changes for AsIC-SIS Model. ACML Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2011	A*	`conf`	Fast approximate similarity search based on degree-reduced neighborhood graphs. KDD Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda
2011	C	`conf`	Learning Attribute-weighted Voter Model over Social Networks. ACML Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
2011	C	`conf`	Learning Diffusion Probability Based on Node Attributes in Social Networks. ISMIS Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, Hiroshi Motoda
2011	J	`jnl`	Learning information diffusion model in a social network for predicting influence of nodes. Intell. Data Anal. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2011	—	`conf`	Speeding Up Bipartite Graph Visualization Method. Australasian Conference on Artificial Intelligence Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	C	`conf`	Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura
2010	—	`conf`	Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. SBP Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	B	`conf`	Discovery of Super-Mediators of Information Diffusion in Social Networks. Discovery Science Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	B	`conf`	Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. PRICAI Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	J	`jnl`	Extracting influential nodes on a social network for information diffusion. Data Min. Knowl. Discov. Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
2010	Misc	`conf`	Fast similarity search on a large speech data set with neighborhood graph indexing. ICASSP Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, Kazumi Saito
2010	C	`conf`	Finding Relation between PageRank and Voter Model. PKAW Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara
2010	C	`conf`	Generative Models of Information Diffusion with Asynchronous Timedelay. ACML Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2010	A*	`conf`	Learning to Predict Opinion Share in Social Networks. AAAI Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
2010	—	`conf`	Nominally Conditioned Linear Regression. ICANN (3) Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito
2010	—	`conf`	Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. ECML/PKDD (3) Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2009	J	`jnl`	Blocking links to minimize contamination spread in a social network. ACM Trans. Knowl. Discov. Data Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2009	B	`conf`	Discovering Influential Nodes for SIS Models in Social Networks. Discovery Science Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2009	A*	`conf`	Efficient Estimation of Influence Functions for SIS Model on Social Networks. IJCAI Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2009	—	`conf`	Fast Similarity Search in Small-World Networks. CompleNet Kazuo Aoyama, Kazumi Saito, Takeshi Yamada, Naonori Ueda
2009	B	`conf`	Growth Analysis of Neighbor Network for Evaluation of Damage Progress. PAKDD Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, Masayuki Numao
2009	C	`conf`	Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. ACML Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2009	—	`ch.`	The k-Dense Method to Extract Communities from Complex Networks. Mining Complex Data Kazumi Saito, Takeshi Yamada, Kazuhiro Kazama
2008	B	`conf`	Community analysis of influential nodes for information diffusion on a social network. IJCNN Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda
2008	—	`conf`	Effective Visualization of Information Diffusion Process over Complex Networks. ECML/PKDD (2) Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2008	J	`jnl`	Extracting Communities from Complex Networks by the IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kazumi Saito, Takeshi Yamada, Kazuhiro Kazama
2008	—	`conf`	Improving Search Efficiency of Incremental Variable Selection by Using Second-Order Optimal Criterion. KES (3) Kazumi Saito, Nobuaki Mutoh, Tetsuo Ikeda, Toshinao Goda, Kazuki Mochizuki
2008	A*	`conf`	Minimizing the Spread of Contamination by Blocking Links in a Network. AAAI Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2008	—	`conf`	Prediction of Information Diffusion Probabilities for Independent Cascade Model. KES (3) Kazumi Saito, Ryohei Nakano, Masahiro Kimura
2008	J	`jnl`	Recommendation Method for Improving Customer Lifetime Value. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
2008	J	`jnl`	Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle. IEEE Trans. Pattern Anal. Mach. Intell. Akinori Fujino, Naonori Ueda, Kazumi Saito
2008	C	`conf`	Sequence-based SOM: Visualizing transition of dynamic clusters. CIT Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
2008	B	`conf`	Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. PRICAI Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
2008	C	`conf`	What Does an Information Diffusion Model Tell about Social Network Structure?. PKAW Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2007	J	`jnl`	A hybrid generative/discriminative approach to text classification with additional information. Inf. Process. Manag. Akinori Fujino, Naonori Ueda, Kazumi Saito
2007	J	`jnl`	Bidirectional clustering of weights for neural networks with common weights. Syst. Comput. Jpn. Kazumi Saito, Ryohei Nakano
2007	—	`conf`	Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell. ICTAI (2) Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masayuki Numao
2007	A*	`conf`	Extracting Influential Nodes for Information Diffusion on a Social Network. AAAI Masahiro Kimura, Kazumi Saito, Ryohei Nakano
2007	—	`conf`	Interpretable Likelihood for Vector Representable Topic. KES (3) Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
2007	A*	`conf`	Modeling user behavior in recommender systems based on maximum entropy. WWW Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
2007	J	`jnl`	Parametric Embedding for Class Visualization. Neural Comput. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
2007	—	`conf`	Pivot Learning for Efficient Similarity Search. KES (3) Manabu Kimura, Kazumi Saito, Naonori Ueda
2007	—	`conf`	Prediction of Link Attachments by Estimating Probabilities of Information Propagation. KES (3) Kazumi Saito, Ryohei Nakano, Masahiro Kimura
2007	—	`ch.`	Quantitative Revision of Scientific Models. Computational Discovery of Scientific Knowledge Kazumi Saito, Pat Langley
2007	B	`conf`	Selecting the Most Influential Nodes in Social Networks. IJCNN Pablo A. Estévez, Pablo A. Vera, Kazumi Saito
2007	A*	`conf`	Semi-Supervised Learning for Multi-Component Data Classification. IJCAI Akinori Fujino, Naonori Ueda, Kazumi Saito
2006	—	`conf`	Approximate Solutions for the Influence Maximization Problem in a Social Network. KES (2) Masahiro Kimura, Kazumi Saito
2006	—	`conf`	Extracting Communities from Complex Networks by the k-dense Method. ICDM Workshops Kazumi Saito, Takeshi Yamada
2006	—	`conf`	Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. KES (2) Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano
2006	—	`conf`	Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach. KES (2) Kazumi Saito, Ryohei Nakano
2006	J	`jnl`	Parametric mixture model for multitopic text. Syst. Comput. Jpn. Naonori Ueda, Kazumi Saito
2006	A*	`conf`	Recommendation method for extending subscription periods. KDD Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
2006	—	`conf`	Tractable Models for Information Diffusion in Social Networks. PKDD Masahiro Kimura, Kazumi Saito
2006	B	`conf`	Visual nonlinear discriminant analysis for classifier design. ESANN Tomoharu Iwata, Kazumi Saito, Naonori Ueda
2006	—	`conf`	Visualization Architecture Based on SOM for Two-Class Sequential Data. KES (2) Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
2005	—	`conf`	A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. AIRS Akinori Fujino, Naonori Ueda, Kazumi Saito
2005	A*	`conf`	A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. AAAI Akinori Fujino, Naonori Ueda, Kazumi Saito
2005	B	`conf`	Cross-entropy approach to data visualization based on the neural gas network. IJCNN Pablo A. Estévez, Cristián J. Figueroa, Kazumi Saito
2005	J	`jnl`	Cross-entropy embedding of high-dimensional data using the neural gas model. Neural Networks Pablo A. Estévez, Cristián J. Figueroa, Kazumi Saito
2005	—	`conf`	Detecting Search Engine Spam from a Trackback Network in Blogspace. KES (4) Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama, Shin-ya Sato
2005	B	`conf`	Finding a succinct multi-layer perceptron having shared weights. IJCNN Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, Ryohei Nakano
2005	—	`conf`	Model Selection and Weight Sharing of Multi-layer Perceptrons. KES (4) Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
2005	B	`conf`	Multinomial PCA for extracting major latent topics from document streams. IJCNN Masahiro Kimura, Kazumi Saito, Naonori Ueda
2005	J	`jnl`	Visualization of Anomalies Using Mixture Models. J. Intell. Manuf. Tomoharu Iwata, Kazumi Saito
2005	—	`conf`	Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps. KES (4) Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, Masayuki Numao
2005	B	`conf`	Weight sharing on naive Bayes document model. IJCNN Kazumi Saito, Ryohei Nakano
2004	—	`conf`	Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the NTCIR Yuji Kaneda, Naonori Ueda, Kazumi Saito
2004	B	`conf`	Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization. KES Yuji Kaneda, Naonori Ueda, Kazumi Saito
2004	B	`conf`	Extracting characteristic words of text using neural networks. IJCNN Kazumi Saito, Ryohei Nakano
2004	J	`jnl`	Modeling network growth with directional attachment and communities. Syst. Comput. Jpn. Masahiro Kimura, Kazumi Saito, Naonori Ueda
2004	J	`jnl`	Modeling of growing networks with directional attachment and communities. Neural Networks Masahiro Kimura, Kazumi Saito, Naonori Ueda
2004	—	`conf`	Parametric Embedding for Class Visualization. NIPS Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
2004	B	`conf`	Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. KES Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano
2004	B	`conf`	Visualisation of Anomaly Using Mixture Model. KES Tomoharu Iwata, Kazumi Saito
2003	A*	`conf`	Cross-Entropy Directed Embedding of Network Data. ICML Takeshi Yamada, Kazumi Saito, Naonori Ueda
2003	B	`conf`	Discovering Ecosystem Models from Time-Series Data. Discovery Science Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo
2003	B	`conf`	Inducing Biological Models from Temporal Gene Expression Data. Discovery Science Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager
2003	B	`conf`	Modeling of growing networks with directional attachment and communities. ESANN Masahiro Kimura, Kazumi Saito, Naonori Ueda
2003	A*	`conf`	Robust Induction of Process Models from Time-Series Data. ICML Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito
2002	—	`conf`	Discovering Empirical Laws of Web Dynamics. SAINT Kazumi Saito, Pat Langley
2002	—	`conf`	Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. Progress in Discovery Science Ryohei Nakano, Kazumi Saito
2002	J	`jnl`	Extracting regression rules from neural networks. Neural Networks Kazumi Saito, Ryohei Nakano
2002	—	`conf`	Modeling of growing networks with communities. NNSP Masahiro Kimura, Kazumi Saito, Naonori Ueda
2002	—	`conf`	Parametric Mixture Models for Multi-Labeled Text. NIPS Naonori Ueda, Kazumi Saito
2002	B	`conf`	Revising Qualitative Models of Gene Regulation. Discovery Science Kazumi Saito, Stephen D. Bay, Pat Langley
2002	A*	`conf`	Single-shot detection of multiple categories of text using parametric mixture models. KDD Naonori Ueda, Kazumi Saito
2002	B	`conf`	Structuring Neural Networks through Bidirectional Clustering of Weights. Discovery Science Kazumi Saito, Ryohei Nakano
2001	B	`conf`	Computational Revision of Quantitative Scientific Models. Discovery Science Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster
2001	B	`conf`	Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables. IDA Ryohei Nakano, Kazumi Saito
2000	B	`conf`	Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees. Discovery Science Kazumi Saito, Ryohei Nakano
2000	B	`conf`	Discovery of Relevant Weights by Minimizing Cross-Validation Error. PAKDD Kazumi Saito, Ryohei Nakano
2000	—	`conf`	Law discovery from financial data using neural networks. CIFEr Kazumi Saito, Naonori Ueda, Shigeru Katagiri, Yutaka Fukai, Hiroshi Fujimaru, Masayuki Fujinawa
2000	J	`jnl`	Second-Order Learning Algorithm with Squared Penalty Term. Neural Comput. Kazumi Saito, Ryohei Nakano
1999	B	`conf`	Discovery of a Set of Nominally Conditioned Polynomials. Discovery Science Ryohei Nakano, Kazumi Saito
1998	B	`conf`	Computational Characteristics of Law Discovery Using Neural Networks. Discovery Science Ryohei Nakano, Kazumi Saito
1997	—	`conf`	Law Discovery using Neural Networks. IJCAI Kazumi Saito, Ryohei Nakano
1997	—	`conf`	MDL regularizer: a new regularizer based on the MDL principle. ICNN Kazumi Saito, Ryohei Nakano
1997	—	`conf`	Numeric Law Discovery Using Neural Networks. ICONIP (2) Kazumi Saito, Ryohei Nakano
1997	J	`jnl`	Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks. Neural Comput. Kazumi Saito, Ryohei Nakano
1996	—	`conf`	A constructive learning algorithm for an HME. ICNN Kazumi Saito, Ryohei Nakano
1996	—	`conf`	Second-order Learning Algorithm with Squared Penalty Term. NIPS Kazumi Saito, Ryohei Nakano
1995	—	`conf`	A Connectionist Approach to Numeric Law Discorvery. Machine Intelligence 15 Kazumi Saito, Ryohei Nakano
1995	—	`conf`	Parrot-like speaking using optimal vector quantization. ICNN Ryohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada
1994	—	`conf`	Adaptive Concept Learning Algorithm. IFIP Congress (1) Kazumi Saito, Ryohei Nakano
1993	—	`conf`	A concept learning algorithm with adaptive search. Machine Intelligence 14 Kazumi Saito, Ryohei Nakano
1988	—	`conf`	Medical diagnostic expert system based on PDP model. ICNN Kazumi Saito, Ryohei Nakano