Refereed International Conference Papers

• Jose Malfeito-Ferreira, Masahito Kumano, and Masahiro Kimura: Homophily Analysis of Higher-Order Interactions of POIs Based on People Flow Predictability from WiFi Data , Complex Networks and Their Applications XIII, SCI 1188, pp.56-67, Springer, 2025.

• 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.

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