Tsuyoshi Murata

149 papers A* 5A 6B 9C 3Journal 72Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multi-rounded adversarial scenario for graph-based promo fraud detection. Soc. Netw. Anal. Min. Hafizh Adi Prasetya, Xin Liu, Tsuyoshi Murata, Akiyoshi Matono
2026	J	`jnl`	BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network. CoRR Justin Dachille, Aurora Rossi, Sunil Kumar Maurya, Frederik Mallmann-Trenn, Xin Liu, Frédéric Giroire, Tsuyoshi Murata, Emanuele Natale
2025	J	`jnl`	Future-proofing class-incremental learning. Mach. Vis. Appl. Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2025	J	`jnl`	Memory augmented using diffusion model for class-incremental learning. Image Vis. Comput. Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2025	—	`conf`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. KDD (2) Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	J	`jnl`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. CoRR Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	A	`conf`	Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. WSDM Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
2024	J	`jnl`	DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2024	—	`conf`	DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2024	J	`jnl`	Future-Proofing Class Incremental Learning. CoRR Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2024	J	`jnl`	Influence maximization on temporal networks: a review. Appl. Netw. Sci. Eric Yanchenko, Tsuyoshi Murata, Petter Holme
2024	J	`jnl`	Predicting popularity trend in social media networks with multi-layer temporal graph neural networks. Complex Intell. Syst. Ruidong Jin, Xin Liu, Tsuyoshi Murata
2024	J	`jnl`	Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs. Mach. Learn. Ruidong Jin, Xin Liu, Tsuyoshi Murata
2023	—	`conf`	Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops) Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2023	J	`jnl`	Class-Incremental Learning using Diffusion Model for Distillation and Replay. CoRR Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2023	J	`jnl`	Feature selection: Key to enhance node classification with graph neural networks. CAAI Trans. Intell. Technol. Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2023	J	`jnl`	Heterogeneous graph embedding with single-level aggregation and infomax encoding. Mach. Learn. Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata
2023	J	`jnl`	Influence maximization on temporal networks: a review. CoRR Eric Yanchenko, Tsuyoshi Murata, Petter Holme
2023	J	`jnl`	Link prediction for ex ante influence maximization on temporal networks. Appl. Netw. Sci. Eric Yanchenko, Tsuyoshi Murata, Petter Holme
2023	J	`jnl`	Link prediction for ex ante influence maximization on temporal networks. CoRR Eric Yanchenko, Tsuyoshi Murata, Petter Holme
2023	J	`jnl`	Modularity-based selection of the number of slices in temporal network clustering. CoRR Patrik Seiron, Axel Lindegren, Matteo Magnani, Christian Rohner, Tsuyoshi Murata, Petter Holme
2022	J	`jnl`	Balanced softmax cross-entropy for incremental learning with and without memory. Comput. Vis. Image Underst. Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2022	A*	`conf`	Leaping through Time with Gradient-Based Adaptation for Recommendation. AAAI Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
2022	J	`jnl`	Modularity Optimization as a Training Criterion for Graph Neural Networks. CoRR Tsuyoshi Murata, Naveed Afzal
2022	A	`conf`	Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. CIKM Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2022	B	`conf`	Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. DS Ruidong Jin, Xin Liu, Tsuyoshi Murata
2022	J	`jnl`	Simplifying approach to node classification in Graph Neural Networks. J. Comput. Sci. Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2022	J	`jnl`	Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes. IEEE Access Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata
2021	—	`conf`	Balanced Softmax Cross-Entropy for Incremental Learning. ICANN (2) Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Balanced Softmax Cross-Entropy for Incremental Learning. CoRR Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	COVID-19 and Networks. New Gener. Comput. Tsuyoshi Murata
2021	—	`conf`	Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. EMNLP (Findings) Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. CoRR Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
2021	—	`conf`	Development of IPSJ Data Science Curriculum Standard. OCCE Tetsuro Kakeshita, Kazuo Ishii, Yoshiharu Ishikawa, Hitoshi Matsubara, Yutaka Matsuo, Tsuyoshi Murata, Miyuki Nakano, Takako Nakatani, Haruhiko Okumura, Naoko Takahashi, Norimitsu Takahashi, Gyo Uchida, Eriko Uematsu, Satoshi Saeki, Hiroshi Kato
2021	J	`jnl`	Graph Neural Networks for Fast Node Ranking Approximation. ACM Trans. Knowl. Discov. Data Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Graph convolutional networks for graphs containing missing features. Future Gener. Comput. Syst. Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks. IEEE Trans. Netw. Sci. Eng. Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai
2021	J	`jnl`	Improving Graph Neural Networks with Simple Architecture Design. CoRR Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Leaping Through Time with Gradient-based Adaptation for Recommendation. CoRR Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Natural Image Reconstruction from fMRI using Deep Learning: A Survey. CoRR Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding. Inf. Sci. Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks. IEEE Access Ruidong Jin, Tianqi Xia, Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim
2021	J	`jnl`	Simplifying approach to Node Classification in Graph Neural Networks. CoRR Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2020	J	`jnl`	Active Learning for Node Classification: An Evaluation. Entropy Kaushalya Madhawa, Tsuyoshi Murata
2020	A*	`conf`	Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory. AAAI Hiep V. Le, Tsuyoshi Murata, Masato Iguchi
2020	—	`conf`	Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Prediction. COMPLEX NETWORKS (2) Hajime Miyazawa, Tsuyoshi Murata
2020	J	`jnl`	Graph Convolutional Networks for Graphs Containing Missing Features. CoRR Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
2020	J	`jnl`	MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning. CoRR Kaushalya Madhawa, Tsuyoshi Murata
2020	J	`jnl`	Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization. Entropy Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2020	J	`jnl`	Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder. Sensors Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata
2020	B	`conf`	Revisiting Graph Neural Networks: Graph Filtering Perspective. ICPR Hoang NT, Takanori Maehara, Tsuyoshi Murata
2020	J	`jnl`	Stacked Graph Filter. CoRR Hoang NT, Takanori Maehara, Tsuyoshi Murata
2020	C	`conf`	{M. ACML Kaushalya Madhawa, Tsuyoshi Murata
2019	A	`conf`	A General View for Network Embedding as Matrix Factorization. WSDM Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang
2019	J	`jnl`	A multi-armed bandit approach for exploring partially observed networks. Appl. Netw. Sci. Kaushalya Madhawa, Tsuyoshi Murata
2019	J	`jnl`	Effective and scalable methods for graph protection strategies against epidemics on dynamic networks. Appl. Netw. Sci. Arie Wahyu Wijayanto, Tsuyoshi Murata
2019	A	`conf`	Fast Approximations of Betweenness Centrality with Graph Neural Networks. CIKM Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2019	J	`jnl`	How much topological structure is preserved by graph embeddings? Comput. Sci. Inf. Syst. Xin Liu, Chenyi Zhuang, Tsuyoshi Murata, Kyoung-Sook Kim, Natthawut Kertkeidkachorn
2019	J	`jnl`	Learning Graph Neural Networks with Noisy Labels. CoRR Hoang NT, Choong Jun Jin, Tsuyoshi Murata
2019	—	`conf`	Linear Graph Convolutional Model for Diagnosing Brain Disorders. COMPLEX NETWORKS (2) Zarina Rakhimberdina, Tsuyoshi Murata
2019	—	`conf`	Optimizing Variational Graph Autoencoder for Community Detection. IEEE BigData Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2019	J	`jnl`	Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. IEEE Access Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu
2019	J	`jnl`	Relation prediction in knowledge graph by Multi-Label Deep Neural Network. Appl. Netw. Sci. Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
2019	—	`conf`	Towards Robust Compressed Convolutional Neural Networks. BigComp Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata
2018	—	`conf`	Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition. ECML/PKDD (3) Hiep V. Le, Tsuyoshi Murata, Masato Iguchi
2018	—	`conf`	Exploring Partially Observed Networks with Nonparametric Bandits. COMPLEX NETWORKS (2) Kaushalya Madhawa, Tsuyoshi Murata
2018	J	`jnl`	Exploring Partially Observed Networks with Nonparametric Bandits. CoRR Kaushalya Madhawa, Tsuyoshi Murata
2018	B	`conf`	Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning. WI Arie Wahyu Wijayanto, Tsuyoshi Murata
2018	A*	`conf`	Learning Community Structure with Variational Autoencoder. ICDM Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2018	—	`conf`	MELL: Effective Embedding Method for Multiplex Networks. WWW (Companion Volume) Ryuta Matsuno, Tsuyoshi Murata
2018	—	`conf`	Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure? WIMS Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim
2018	—	`conf`	Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media. COMPLEX NETWORKS (2) Hafizh Adi Prasetya, Tsuyoshi Murata
2018	—	`conf`	Network Embedding Based on a Quasi-Local Similarity Measure. PRICAI (1) Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden
2018	—	`conf`	Robustness of Compressed Convolutional Neural Networks. IEEE BigData Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata
2018	J	`jnl`	Variational Approach for Learning Community Structures. Complex. Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2017	—	`conf`	Constrained Community Detection in Multiplex Networks. SocInfo (1) Koji Eguchi, Tsuyoshi Murata
2017	B	`conf`	Flow-Aware Vertex Protection Strategy on Large Social Networks. ASONAM Arie Wahyu Wijayanto, Tsuyoshi Murata
2017	—	`conf`	Methods for Influence Maximization in Dynamic Networks. COMPLEX NETWORKS Tsuyoshi Murata, Hokuto Koga
2017	—	`conf`	Predicting Relations Between RDF Entities by Deep Neural Network. ESWC (Satellite Events) Tsuyoshi Murata, Yohei Onuki, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
2017	—	`conf`	Predicting relations of embedded RDF entities by Deep Neural Network. ISWC (Posters, Demos & Industry Tracks) Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
2016	J	`jnl`	Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression. New Gener. Comput. Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
2016	A	`conf`	Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization. WSDM Phiradet Bangcharoensap, Tsuyoshi Murata, Hayato Kobayashi, Nobuyuki Shimizu
2015	J	`jnl`	Community Detection in Scale-Free Networks using Edge Weight and Modularity Optimization Method. Inf. Media Technol. Sorn Jarukasemratana, Tsuyoshi Murata
2015	—	`conf`	Comparison of Inter-Layer Couplings of Multilayer Networks. SITIS Tsuyoshi Murata
2015	J	`jnl`	Edge Weight Method for Community Detection on Mixed Scale-Free Networks. Int. J. Artif. Intell. Tools Sorn Jarukasemratana, Tsuyoshi Murata
2015	—	`conf`	Fast Optimization of Hamiltonian for Constrained Community Detection. CompleNet Keisuke Nakata, Tsuyoshi Murata
2015	—	`ed.`	New Frontiers in Artificial Intelligence - JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Kanagawa, Japan, October 27-28, 2014, Revised Selected Papers JSAI-isAI Workshops Tsuyoshi Murata, Koji Mineshima, Daisuke Bekki
2015	—	`conf`	Selecting Seed Nodes for Influence Maximization in Dynamic Networks. CompleNet Shogo Osawa, Tsuyoshi Murata
2015	—	`conf`	Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection. ECML/PKDD (3) Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi Murata
2014	J	`jnl`	A Framework for Community Detection in Heterogeneous Multi-Relational Networks. Adv. Complex Syst. Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
2014	J	`jnl`	A framework for community detection in heterogeneous multi-relational networks. CoRR Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
2014	B	`conf`	A unified modularity by encoding the similarity attraction feature into the null model. ASONAM Xin Liu, Tsuyoshi Murata, Ken Wakita
2014	J	`jnl`	Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks. Inf. Media Technol. Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu
2014	J	`jnl`	Detecting network communities beyond assortativity-related attributes. CoRR Xin Liu, Tsuyoshi Murata, Ken Wakita
2014	—	`conf`	Edge Weight Method for Community Detection in Scale-Free Networks. WIMS Sorn Jarukasemratana, Tsuyoshi Murata
2013	—	`conf`	A Fast Method for Detecting Communities from Tripartite Networks. SocInfo Kyohei Ikematsu, Tsuyoshi Murata
2013	—	`conf`	Community detection algorithm based on centrality and node distance in scale-free networks. HT Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu
2013	—	`conf`	Extracting the multilevel communities based on network structural and nonstructural information. WWW (Companion Volume) Xin Liu, Tsuyoshi Murata, Ken Wakita
2013	J	`jnl`	Recent Large Graph Visualization Tools : A Review. Inf. Media Technol. Sorn Jarukasemratana, Tsuyoshi Murata
2013	J	`jnl`	Web Caching Replacement Algorithm Based on Web Usage Data. New Gener. Comput. Sorn Jarukasemratana, Tsuyoshi Murata
2012	J	`jnl`	Extending modularity by incorporating distance functions in the null model CoRR Xin Liu, Tsuyoshi Murata, Ken Wakita
2011	J	`jnl`	A New Tripartite Modularity for Detecting Communities. Inf. Media Technol. Tsuyoshi Murata
2011	J	`jnl`	Detecting Communities in K-Partite K-Uniform (Hyper)Networks. J. Comput. Sci. Technol. Xin Liu, Tsuyoshi Murata
2011	—	`conf`	Extracting the mesoscopic structure from heterogeneous systems. HT Xin Liu, Tsuyoshi Murata
2011	—	`conf`	Visual Analysis of Bipartite Networks. ICDM Workshops Supaporn Spanurattana, Tsuyoshi Murata
2010	J	`jnl`	A New Modularity for Detecting One-to-Many Correspondence of Communities in Bipartite Networks. Adv. Complex Syst. Tsuyoshi Murata, Tomoyuki Ikeya
2010	J	`jnl`	An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks. J. Adv. Comput. Intell. Intell. Informatics Xin Liu, Tsuyoshi Murata
2010	—	`conf`	Breaking News Detection and Tracking in Twitter. Web Intelligence/IAT Workshops Swit Phuvipadawat, Tsuyoshi Murata
2010	J	`jnl`	Community Detection in Large-scale Bipartite Networks. Inf. Media Technol. Xin Liu, Tsuyoshi Murata
2010	—	`ch.`	Detecting Communities in Social Networks. Handbook of Social Network Technologies Tsuyoshi Murata
2010	J	`jnl`	Detecting Communities in Tripartite Hypergraphs CoRR Xin Liu, Tsuyoshi Murata
2010	A*	`conf`	Detecting communities from tripartite networks. WWW Tsuyoshi Murata
2010	—	`conf`	Evaluating Community Structure in Bipartite Networks. SocialCom/PASSAT Xin Liu, Tsuyoshi Murata
2010	—	`ch.`	Modularity for Bipartite Networks. Data Mining for Social Network Data Tsuyoshi Murata
2010	—	`conf`	Modularity for heterogeneous networks. HT Tsuyoshi Murata
2009	—	`conf`	Community Detection in Large-Scale Bipartite Networks. Web Intelligence Xin Liu, Tsuyoshi Murata
2009	—	`conf`	Community Division of Heterogeneous Networks. Complex (1) Tsuyoshi Murata
2009	—	`conf`	Detecting Communities from Bipartite Networks Based on Bipartite Modularities. CSE (4) Tsuyoshi Murata
2009	—	`conf`	How Does Label Propagation Algorithm Work in Bipartite Networks? Web Intelligence/IAT Workshops Xin Liu, Tsuyoshi Murata
2009	—	`conf`	Modularities for bipartite networks. Hypertext Tsuyoshi Murata
2009	—	`conf`	New Modularity for Evaluating Communities in Bipartite Networks. MLG/SRL@ILP Tsuyoshi Murata
2008	A	`conf`	Analysis of Online Question-Answering Forums as Heterogeneous Networks. ICWSM Tsuyoshi Murata, Tomoyuki Ikeya
2008	—	`conf`	Discovering, Visualizing and Evaluating Online Bipartite Communities. Web Intelligence/IAT Workshops Tsuyoshi Murata
2008	—	`conf`	Identification of MCMC Samples for Clustering. LKR Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato
2008	J	`jnl`	Link Prediction based on Structural Properties of Online Social Networks. New Gener. Comput. Tsuyoshi Murata, Sakiko Moriyasu
2007	J	`jnl`	Detection of Breaking News from Online Web Search Queries. New Gener. Comput. Tsuyoshi Murata
2007	—	`conf`	Discovering and Visualizing Network Communities. Web Intelligence/IAT Workshops Tsuyoshi Murata, Koji Takeichi
2007	J	`jnl`	Discovery of User Communities Based on Terms of Web Log Data. New Gener. Comput. Tsuyoshi Murata
2007	—	`ch.`	Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph. Emergent Intelligence of Networked Agents Tsuyoshi Murata, Kota Saito
2007	—	`conf`	Link Prediction of Social Networks Based on Weighted Proximity Measures. Web Intelligence Tsuyoshi Murata, Sakiko Moriyasu
2007	J	`jnl`	Special Issue on Intelligent Web Interaction. New Gener. Comput. Seiji Yamada, Tsuyoshi Murata
2006	C	`conf`	Extracting Keywords of Web Users' Interests and Visualizing their Routine Visits. ICARCV Tsuyoshi Murata, Kuniko Saito
2006	—	`conf`	Extracting Users' Interests from Web Log Data. Web Intelligence Tsuyoshi Murata, Kota Saito
2006	—	`conf`	Towards the Detection of Breaking News from Online Web Search Keywords. IAT Workshops Tsuyoshi Murata
2005	—	`conf`	Extraction of Structural Information from the Web. FSKD (2) Tsuyoshi Murata
2004	—	`conf`	Discovery of User Communities from Web Audience Measurement Data. Web Intelligence Tsuyoshi Murata
2004	C	`conf`	Roles of Diagrammatic Information for the Discovery of Geometrical Theorems. Diagrams Tsuyoshi Murata
2003	B	`conf`	Discovery of Web Communities from Positive and Negative Examples. Discovery Science Tsuyoshi Murata
2003	J	`jnl`	Visualizing the structure of Web communities based on data acquired from a search engine. IEEE Trans. Ind. Electron. Tsuyoshi Murata
2002	J	`jnl`	DIPS: Diagrammatic arithmetic problem solver. Syst. Comput. Jpn. Tsuyoshi Murata, Hiroki Kato, Masamichi Shimura, Masayuki Numao
2001	B	`conf`	A Method for Discovering Purified Web Communities. Discovery Science Tsuyoshi Murata
2001	J	`jnl`	A method of inductive machine discovery based on experimental data acquisition. Syst. Comput. Jpn. Tsuyoshi Murata, Masamichi Shimura
2001	J	`jnl`	A problem solver for quadratic functions. Syst. Comput. Jpn. Tsuyoshi Murata, Ran Hosoya, Shingo Kawabe, Masamichi Shimura
2001	—	`conf`	Finding Related Web Pages Based on Connectivity Information from a Search Engine. WWW Posters Tsuyoshi Murata
2000	B	`conf`	Discovery of Web Communities Based on the Co-Occurence of References. Discovery Science Tsuyoshi Murata
1999	B	`conf`	Machine Discovery Based on the Co-occurrence of References in a Search Engine. Discovery Science Tsuyoshi Murata
1998	J	`jnl`	A method of machine discovery based on geometrical structure. Syst. Comput. Jpn. Tsuyoshi Murata, Masamichi Shimura
1996	—	`conf`	Machine Discovery Based on Numerical Data Generated in Computer Experiments. AAAI/IAAI, Vol. 1 Tsuyoshi Murata, Masamichi Shimura
1994	A*	`conf`	A Discovery System for Trigonometric Functions. AAAI Tsuyoshi Murata, Masami Mizutani, Masamichi Shimura