- Chikashi Takai, Masahito Kumano, and Masahiro Kimura:
Analyzing Temporal Influence of Burst Vertices in Growing Social Simplicial Complexes,
**Complex Networks and Their Applications XII**, SCI 1144, pp.3-15, Springer, 2024. - Masaki Saito, Masahito Kumano, and Masahiro Kimura:
Detecting Critical Streets in Road Networks Based on Topological Representation,
**Complex Networks and Their Applications XII**, SCI 1144, pp.231-242, Springer, 2024. - Keisuke Uga, Masahito Kumano, and Masahiro Kimura:
Topic-Based Analysis of Structural Transitions of Temporal Hypergraphs Derived from Recipe Sharing Sites,
**Complex Networks and Their Applications XII**, SCI 1143, pp.171-182, Springer, 2024. - Koudai Fujisawa, Masahito Kumano, and Masahiro Kimura:
Analyzing Configuration Transitions Associated with Higher-Order Link Occurrences in Networks of Cooking Ingredients,
**Complex Networks and Their Applications XI**, SCI 1078, pp.623-635, Springer, 2023. - Masahiro Ikeda, Masahito Kumano, Joao Gama, and Masahiro Kimura:
Simplicial Closure in Significant Higher-Order Network among Cooking Ingredients,
**The 9th International Conference on Complex Networks and their Applications - Book of Abstracts**, pp.110-112, 2021. - Teru Fujii, Masahito Kumano, Joao Gama, and Masahiro Kimura:
Detecting Geographical Competitive Structure for POI Visit Dynamics,
**Complex Networks and Their Applications IX**, SCI 944, pp.27-38, Springer, 2021. - Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph,
**Proceedings of 2020 IEEE International Conference on Big Data (BigData 2020)**, pp.916-923, IEEE, 2020. - Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks,
**Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020)**, pp.393-400, IEEE, 2020. - Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links,
**Proceedings of the 23rd International Conference on Discovery Science (DS 2020)**, LNAI 12323, pp.421-436, Springer, 2020. - Mario Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, Masahiro Kimura, Joao Gama:
Identifying, Ranking and Tracking Community Leaders in Evolving Social Networksk,
**Complex Networks and Their Applications VIII**, SCI 881, pp.198-210, Springer, 2020. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network,
**Proceedings of the 22nd International Conference on Discovery Science (DS 2019)**, LNAI 11828, pp.428-442, Springer, 2019. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint,
**Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019)**, LNAI 11671, pp.404-418, Springer, 2019. - Minoru Higuchi, Kanji Matsutani, Masahito Kumano, and Masahiro Kimura:
Discovering spatio-temporal latent influence in geographical attention dynamics,
**Proceedings of 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018)**, LNAI 11052, pp.517-534, Springer, 2019. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Critical node identification based on articulation point detection for network with uncertain connectivity,
**Proceedings of the 6th International Symposium on Computing and Networking (CANDAR'18)**, pp.146-152, IEEE, 2018. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Critical link identification based on bridge detection for network with uncertain connectivity,
**Proceedings of the 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018)**, LNAI 11177, pp.88-99, Springer, 2018. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient detection of critical links to maintain performance of network with uncertain connectivity,
**Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018)**, LNAI 11012, pp.282-295, Springer, 2018. - Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda:
Discovering cooperative structure among online items for attention dynamics,
**Proceedings of 2017 IEEE International Conference on Data Mining Workshops (ICDMW 2017)**, pp.1033-1041, IEEE, 2017. - Yuuki Kikuchi, Masahito Kumano, and Masahiro Kimura:
Analyzing dynamical activities of co-occurrence patterns for cooking ingredients,
**Proceedings of 2017 IEEE International Conference on Data Mining Workshops (ICDMW 2017)**, pp.17-24, IEEE, 2017. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Maximizing network performance based on group centrality by creating most effective k-links,
**Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017)**, pp.561-570, IEEE, 2017. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
An accurate and efficient method to detect critical links to maintain information flow in network,
**Proceedings of the 23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017)**, LNAI 10352, pp.116-126, Springer, 2017. - Hiroki Takahashi and Masahiro Kimura:
Analyzing time-decay effects of mediating-objects in creating trust-links,
**Proceedings of the 5th International Workshop on New Frontiers in Mining Complex Patterns (NFmcp @ ECML-PKDD 2016)**, Session II (12 pages), 2016. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Accelerating computation of distance based centrality measures for spatial networks,
**Proceedings of the 19th International Conference on Discovery Science (DS 2016)**, LNAI 9956, pp.376-391, Springer, 2016. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Detecting critical links in complex network to maintain information flow/reachability,
**Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016)**, LNAI 9810, pp.419-432, Springer, 2016. - Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda:
Combining activity-evaluation information with NMF for trust-link prediction in social media,
**Proceedings of 2015 IEEE International Conference on Big Data (BigData 2015)**, pp.2263-2272, IEEE, 2015. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Change Point Detection for Information Diffusion Tree,
**Proceedings of the 18th International Conference on Discovery Science (DS 2015)**, LNAI 9356, pp.161-169, Springer, 2015. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Resampling-based gap analysis for detecting nodes with high centrality on large social network,
**Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015)**, LNAI 9077, pp.135-147, Springer, 2015. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Efficient learning of user conformity on review score,
**Proceedings of the 8th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2015)**, LNCS 9021, pp.182-192, Springer, 2015. - Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Efficient analysis of node influence based on SIR model over huge complex networks,
**Proceedings of the 2014 International Conference on Data Science and Advanced Analytics (DSAA 2014)**, pp.216-222, IEEE, 2014. - Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Analyzing mediator-activity effects for trust-network evolution in social media,
**Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014)**, LNAI 8862, pp.297-308, Springer, 2014. - Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
A method to divide stream data of scores over review sites,
**Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014)**, LNAI 8862, pp.913-919, Springer, 2014. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Resampling-based framework for estimating node centrality of large social network,
**Proceedings of the 17th International Conference on Discovery Science (DS 2014)**, LNAI 8777, pp.228-239, Springer, 2014. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
A new approach for item ranking based on review scores reflecting temporal trust factor,
**Proceedings of the 7th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2014)**, LNCS 8393, pp.161-168, Springer, 2014. - Satoshi Iwabuchi, Masahito Kumano, Motonori Koseki, Keiko Ono, and Masahiro Kimura:
Visualizing attractive periods of popular photo spots using Flickr data,
**Proceedings of ACM SIGGRAPH 2013 Posters**, Article 112, 2013. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Predictive simulation framework of stochastic diffusion model for identifying top-k influential nodes,
**Proceedings of the 5th Asian Conference on Machine Learning (ACML 2013)**, JMLR W&CP 29, pp.149-164, 2013. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Identifying super-mediators of information diffusion in social networks,
**Proceedings of the 16th International Conference on Discovery Science (DS 2013)**, LNAI 8140, pp.170-184, Springer, 2013. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Detecting changes in content and posting time distributions in social media,
**Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)**, pp.572-578, 2013. - Keiko Ono, Yoshiko Hanada, Masahito Kumano, and Masahiro Kimura:
Island model genetic programming based on frequent trees,
**Proceedings of 2013 IEEE International Congress on Evolutionary Computation (CEC 2013)**, pp.2988-2995, IEEE, 2013. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Which targets to contact first to maximize influence over social network,
**Proceedings of the 6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2013)**, LNCS 7812, pp.359-367, Springer, 2013. - Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda:
Opinion formation by voter model with temporal decay dynamics,
**Proceedings of 2012 European Conference on Machine Learning and Principles and Practice of Knowlwdge Discovery in Databases (ECML PKDD 2012)**, Part II, LNAI 7524, pp.565-580, Springer, 2012. - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda:
Burst detection in a sequence of tweets based on information diffusion model,
**Proceedings of the 15th International Conference on Discovery Science (DS 2012)**, LNAI 7569, pp.239-253, Springer, 2012. - Keiko Ono, Yoshiko Hanada, Katsushi Shirakawa, Masahito Kumano, and Masahiro Kimura:
Depth-dependent crossover in genetic programming with frequent trees,
**Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012)**, pp.359-363, 2012. - Takayuki Kamei, Keiko Ono, Masahito Kumano, and Masahiro Kimura:
Predicting missing links in social networks with hierarchical Dirichlet processes,
**Proceedings of 2012 International Joint Conference on Neural Networks (IJCNN 2012)**, pp.1816-1823, IEEE, 2012. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Graph embedding on spheres and its application to visualization of information diffusion data,
**Proceedings of the 21st World Wide Web Conference (WWW 2012), Companion Volume**, pp.1137-1144, ACM, 2012. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Effect of in/out-degree correlation on influence degree of two contrasting information diffusion models,
**Proceedings of the 5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2012)**, LNCS 7227, pp.131-138, 2012. - Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Estimating Diffusion Probability Changes for AsIC-SIS Model,
**Proceedings of the 3rd Asian Conference on Machine Learning (ACML 2011)**, JMLR Workshop and Conference Proceedings 20, pp.297-313, 2011. - Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Learning attribute-weighted voter model over social networks,
**Proceedings of the 3rd Asian Conference on Machine Learning (ACML 2011)**, JMLR Workshop and Conference Proceedings 20, pp.263-278, 2011. - Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Speeding up bipartite graph visualization method,
**Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011)**, LNAI 7106, pp.697-706, Springer 2011. - Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda:
Detecting anti-majority opinionists using value-weighted mixture voter model,
**Proceedings of the 14th International Conference on Discovery Science (DS 2011)**, LNAI 6926, pp.150-164, Springer, 2011. - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Efficient detection of hot span in information diffusion from observation,
**Proceedings of the IJCAI-11 Workshop on Link Analysis in Heterogenous Information Networks**, (2011). - Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, and Hiroshi Motoda:
Learning diffusion probability based on node attributes in social networks,
**Proceedings of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011)**, LNAI 6804, pp.153-162, Springer 2011. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Detecting changes in opinion value distribution for voter model,
**Proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2011)**, LNCS 6589, pp.89-96, Springer, 2011. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Discovery of super-mediators of information diffusion in social networks,
**Proceedings of the 13th International Conference on Discovery Science (DS 2010)**, LNAI 6332, pp.144-158, Springer, 2010. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Selecting information diffusion models over social networks for behavioral analysis,
**Proceedings of 2010 European Conference on Machine Learning and Principles and Practice of Knowlwdge Discovery in Databases (ECML PKDD 2010)**, LNAI 6323, pp.180-195, Springer, 2010. - Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda:
Learning to predict opinion share in social networks,
**Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010)**, pp.1364-1370, AAAI, 2010. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Generative models of information diffusion with asynchronous timedelay,
**Proceedings of the 2nd Asian Conference on Machine Learning (ACML 2010)**, JMLR Workshop and Conference Proceedings 13, pp.193-208, JMLR, 2010. - Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, and Kouzou Ohara:
Finding Relation between PageRank and Voter Model,
**Proceedings of the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010)**, LNAI 6232, Springer (2010), pp.208-222. - Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, and Masahiro Kimura:
Acquiring expected influence curve from single diffusion sequence,
**Proceedings of the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010)**, LNAI 6232, pp.273-287, Springer, 2010. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Efficient estimation of cumulative influence for multiple activation information diffusion model
with continuous time delay,
**Proceedings of the 11th Pacific Rim International Conferenec on Artificial Intelligence (PRICAI 2010)**, LNAI 6230, pp.244-255, Springer, 2010. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Behavioral analyses of information diffusion models by observed data of social network,
**Proceedings of the Third International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2010)**, LNCS 6007, pp.149-158, Springer, 2010. - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda:
Learning continuous-time information diffusion model for social behavioral data analysis,
**Proceedings of the First Asian Conference on Machine Learning (ACML 2009)**, LNAI 5828, pp.322-337, Springer, 2009. - Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda:
Discovering influential nodes for SIS models in social networks,
**Proceedings of the 12th International Conference on Discovery Science (DS 2009)**, LNAI 5808, pp.302-316, Springer, 2009. - Masahiro Kimura, Kazumi Saito, and Hiroshi Motoda:
Efficient estimation of influence functions for SIS model on social networks,
**Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09)**, pp.2046-2051, IJCAI, 2009. - Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda:
Finding influential nodes in a social network from information diffusion data,
**Proceedings of the Second International Workshop on Social Computing, Behavioral Modeling, and Prediciton**, H. Liu, J. Salerno and M. J. Young (Eds.), Social Computing and Behavioral Modeling, pp.139-145, Springer, 2009. - Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura and
Masayuki Numao:
Growth analysis of neighbor network for evaluation of damage progress,
**Proceedings of the 13th Pacific-Asia Conferenec on Knowledge Discovery and Data Mining (PAKDD 2009)**, LNAI 5476, pp.933-940, Springer, 2009. - Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda:
What does an information diffusion model tell about social network structure?,
**Proceedings of the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2008)**, LNAI 5465, pp.122-136, Springer, 2009. - Masahiro Kimura, Kazumi Saito and Hiroshi Motoda:
Solving the contamination minimization problem on networks for the linear threshold model,
**Proceedings of the 10th Pacific Rim International Conferenec on Artificial Intelligence (PRICAI 2008)**, LNAI 5351, pp.977-984, Springer, 2008. - Kazumi Saito, Masahiro Kimura and Hiroshi Motoda:
Effective visualization of information diffusion process over complex networks,
**Proceedings of 2010 European Conference on Machine Learning and Principles and Practice of Knowlwdge Discovery in Databases (ECML PKDD 2008)**, LNAI 5212, pp.326-341, Springer, 2008. - Kazumi Saito, Ryohei Nakano and Masahiro Kimura:
Prediction of information diffusion probabilities for independent cascade model,
**Proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2008)**, LNAI 5179, pp.67-75, Springer, 2008. - Masahiro Kimura, Kazumi Saito and Hiroshi Motoda:
Minimizing the spread of contamination by blocking links in a network,
**Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08)**, pp.1175-1180, AAAI, 2008. - Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao:
Sequence-based SOM: Visualizing transition of dynamic clusters,
**Proceedings of the 8th IEEE International Conference on Computer and Information Technology (CIT 2008)**, pp.47-52, IEEE, 2008. - Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito and Hiroshi Motoda:
Communiy analysis of influential nodes for information diffusion on a social network,
**Proceedings of 2008 International Joint Conference on Neural Networks (IJCNN 2008)**, pp.1359-1364, IEEE, 2008. - Masahiro Kimura, Kazumi Saito and Ryohei Nakano:
Extracting influential nodes for information diffuision on a social network,
**Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-07)**, pp.1371-1376, AAAI, 2007. - Kazumi Saito, Ryohei Nakano and Masahiro Kimura:
Prediction of link attachments by estimating probabilities of information propagation,
**Proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)**, LNAI 4694, pp.235-242, Springer, 2007. - Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao:
Interpretable likelihood for vector representation topic,
**Proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)**, LNAI 4694, pp.202-209, Springer, 2007. - Masahiro Kimura and Kazumi Saito:
Tractable models for information diffusion in social networks,
**Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2006)**, LNAI 4213, pp.259-271, Springer, 2006. - Masahiro Kimura and Kazumi Saito:
Approximate solutions for the influence maximization problem in a social network,
**Proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)**, LNAI 4252, pp.937-944, Springer, 2006. - Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao:
Visualization architecture based on SOM for two-lass sequential data,
**Proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)**, LNAI 4252, pp.929-936, Springer, 2006. - Kazumi Saito, Naonori Ueda, Masahiro Kimura, Kazuhiro Kazama and Shin-ya Sato:
Filtering search engine spam based on anomaly detection approach,
**Proceedings of KDD2005 Workshop on Data Mining Methods for Anomaly Detection**, pp.62-66, 2005. - Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama and Shin-ya Sato:
Detecting search engine spam from a trackback network in blogspace,
**Proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)**, LNAI 3684, Part IV, pp.723-729, Springer, 2005. - Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao:
Visualizing dynamics of the hot topics using sequence-based self-orgnizing maps,
**Proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)**, LNAI 3684, Part IV, pp. 745-751, Springer, 2005. - Masahiro Kimura, Kazumi Saito and Naonori Ueda:
Multinomial PCA for extracting major latent topics from document streams,
**Proceedings of 2005 International Joint Conference on Neural Networks (IJCNN 2005)**, pp.238-243, IEEE, 2005. - Masahiro Kimura, Kazumi Saito and Naonori Ueda:
Modeling share dynamics by extracting competition structure,
**Proceedings of the 5th International Conference on Complex Systems, InterJournal**, Manuscript Number 835, 2004. - Masahiro Kimura, Kazumi Saito and Naonori Ueda:
Modeling of growing networks with directional attachment and communities,
**Proceedings of the 11th European Symposium on Artificial Neural Networks (ESANN 2003)**, pp.15-20, 2003. - Masahiro Kimura, Kazumi Saito and Naonori Ueda:
Modeling share dynamics by extracting competition structure,
**Proceedings of the International Conference on Science of Modeling**, ISM Report on Research and Education, No.17, pp.366-367, 2003. - Masahiro Kimura, Kazumi Saito and Naonori Ueda:
Modeling of growing networks with communities,
**Proceedings of 2002 International Workshop on Neural Networks for Signal Processing (NNSP 2002)**, pp.189-198, IEEE, 2002. - Masahiro Kimura and Ryohei Nakano:
Simplifying fully recurrent neural networks that have learned
dynamical systems,
**Proceedings of the 3rd International Conference on Computational Intelligence and Neuroscience**, JCIS'98 Proceeedings, Vol.II, pp.143-146, Association for Intelligent Machinery, 1998. - Masahiro Kimura and Ryohei Nakano:
Unique representations of dynamical systems produced by
recurrent neural networks,
**Proceedings of 1997 International Conference on Artificial Neural Networks (ICANN'97)**, LNCS 1327, pp.403-408, Springer, 1997. - Masahiro Kimura and Ryohei Nakano:
Learning dynamical systems produced by recurrent neural networks,
**Proceedings of 1996 International Conference on Artificial Neural Networks (ICANN'96)**, LNCS 1112, pp.133-138, Springer, 1996. - Masahiro Kimura and Ryohei Nakano:
Learning dynamical systems from trajectories
by continuous time recurrent neural networks,
**Proceedings of 1995 International Conference on Neural Networks (ICNN'95)**, pp.2992-2997, IEEE, 1995. - Masahiro Kimura, Takafumi Saito and Mikio Shinya:
Surface deformation with differential geometric structures,
**Proceedings of the 3rd SIAM Conference on Geometric Design**, SIAM, 1993.