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2020 – today
- 2024
[j44]Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Influence maximization on temporal networks: a review. Appl. Netw. Sci. 9(1): 16 (2024)- [j43]Ruidong Jin, Xin Liu
, Tsuyoshi Murata:
Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs. Mach. Learn. 113(4): 2093-2127 (2024) - [c70]Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) 2024: 376-389 - [i22]Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
Future-Proofing Class Incremental Learning. CoRR abs/2404.03200 (2024) - [i21]Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR abs/2404.09207 (2024) - 2023
- [j42]Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Link prediction for ex ante influence maximization on temporal networks. Appl. Netw. Sci. 8(1): 70 (2023) - [j41]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Feature selection: Key to enhance node classification with graph neural networks. CAAI Trans. Intell. Technol. 8(1): 14-28 (2023) - [j40]Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata:
Heterogeneous graph embedding with single-level aggregation and infomax encoding. Mach. Learn. 112(11): 4227-4256 (2023) - [c69]Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops) 2023: 3417-3425 - [i20]Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Link prediction for ex ante influence maximization on temporal networks. CoRR abs/2305.09965 (2023) - [i19]Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
Class-Incremental Learning using Diffusion Model for Distillation and Replay. CoRR abs/2306.17560 (2023) - [i18]Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Influence maximization on temporal networks: a review. CoRR abs/2307.00181 (2023) - [i17]Patrik Seiron, Axel Lindegren, Matteo Magnani, Christian Rohner, Tsuyoshi Murata, Petter Holme:
Modularity-based selection of the number of slices in temporal network clustering. CoRR abs/2311.14354 (2023) - 2022
- [j39]Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata:
Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes. IEEE Access 10: 96149-96158 (2022) - [j38]Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Balanced softmax cross-entropy for incremental learning with and without memory. Comput. Vis. Image Underst. 225: 103582 (2022) - [j37]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Simplifying approach to node classification in Graph Neural Networks. J. Comput. Sci. 62: 101695 (2022) - [c68]Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata:
Leaping through Time with Gradient-Based Adaptation for Recommendation. AAAI 2022: 6141-6149 - [c67]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. CIKM 2022: 4334-4338 - [c66]Ruidong Jin, Xin Liu, Tsuyoshi Murata:
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. DS 2022: 59-73 - [i16]Tsuyoshi Murata, Naveed Afzal:
Modularity Optimization as a Training Criterion for Graph Neural Networks. CoRR abs/2207.00107 (2022) - 2021
- [j36]Ruidong Jin, Tianqi Xia, Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim:
Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks. IEEE Access 9: 9903-9915 (2021) - [j35]Hibiki Taguchi, Xin Liu, Tsuyoshi Murata:
Graph convolutional networks for graphs containing missing features. Future Gener. Comput. Syst. 117: 155-168 (2021) - [j34]Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata:
PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding. Inf. Sci. 570: 769-794 (2021) - [j33]Tsuyoshi Murata:
COVID-19 and Networks. New Gener. Comput. 39(3): 469-481 (2021) - [j32]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Graph Neural Networks for Fast Node Ranking Approximation. ACM Trans. Knowl. Discov. Data 15(5): 78:1-78:32 (2021) - [j31]Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai:
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1256-1258 (2021) - [c65]Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata:
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. EMNLP (Findings) 2021: 1504-1517 - [c64]Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Balanced Softmax Cross-Entropy for Incremental Learning. ICANN (2) 2021: 385-396 - [c63]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:
Development of IPSJ Data Science Curriculum Standard. OCCE 2021: 156-167 - [i15]Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Balanced Softmax Cross-Entropy for Incremental Learning. CoRR abs/2103.12532 (2021) - [i14]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Improving Graph Neural Networks with Simple Architecture Design. CoRR abs/2105.07634 (2021) - [i13]Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata:
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. CoRR abs/2109.04400 (2021) - [i12]Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Natural Image Reconstruction from fMRI using Deep Learning: A Survey. CoRR abs/2110.09006 (2021) - [i11]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Simplifying approach to Node Classification in Graph Neural Networks. CoRR abs/2111.06748 (2021) - [i10]Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata:
Leaping Through Time with Gradient-based Adaptation for Recommendation. CoRR abs/2112.05914 (2021) - 2020
- [j30]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization. Entropy 22(2): 197 (2020) - [j29]Kaushalya Madhawa, Tsuyoshi Murata:
Active Learning for Node Classification: An Evaluation. Entropy 22(10): 1164 (2020) - [j28]Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata:
Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder. Sensors 20(21): 6001 (2020) - [c62]Hiep V. Le, Tsuyoshi Murata, Masato Iguchi:
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory. AAAI 2020: 13320-13325 - [c61]Kaushalya Madhawa, Tsuyoshi Murata:
{M. ACML 2020: 561-576 - [c60]Hajime Miyazawa, Tsuyoshi Murata:
Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Prediction. COMPLEX NETWORKS (2) 2020: 53-65 - [c59]Hoang NT, Takanori Maehara, Tsuyoshi Murata:
Revisiting Graph Neural Networks: Graph Filtering Perspective. ICPR 2020: 8376-8383 - [i9]Hibiki Taguchi, Xin Liu, Tsuyoshi Murata:
Graph Convolutional Networks for Graphs Containing Missing Features. CoRR abs/2007.04583 (2020) - [i8]Kaushalya Madhawa, Tsuyoshi Murata:
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning. CoRR abs/2007.11230 (2020) - [i7]Hoang NT, Takanori Maehara, Tsuyoshi Murata:
Stacked Graph Filter. CoRR abs/2011.10988 (2020)
2010 – 2019
- 2019
- [j27]Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu:
Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. IEEE Access 7: 131567-131576 (2019) - [j26]Arie Wahyu Wijayanto, Tsuyoshi Murata:
Effective and scalable methods for graph protection strategies against epidemics on dynamic networks. Appl. Netw. Sci. 4(1): 18:1-18:31 (2019) - [j25]Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto:
Relation prediction in knowledge graph by Multi-Label Deep Neural Network. Appl. Netw. Sci. 4(1): 20:1-20:17 (2019) - [j24]Kaushalya Madhawa, Tsuyoshi Murata:
A multi-armed bandit approach for exploring partially observed networks. Appl. Netw. Sci. 4(1): 26:1-26:18 (2019) - [j23]Xin Liu, Chenyi Zhuang, Tsuyoshi Murata, Kyoung-Sook Kim, Natthawut Kertkeidkachorn:
How much topological structure is preserved by graph embeddings? Comput. Sci. Inf. Syst. 16(2): 597-614 (2019) - [c58]Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata:
Towards Robust Compressed Convolutional Neural Networks. BigComp 2019: 1-8 - [c57]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Optimizing Variational Graph Autoencoder for Community Detection. IEEE BigData 2019: 5353-5358 - [c56]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Fast Approximations of Betweenness Centrality with Graph Neural Networks. CIKM 2019: 2149-2152 - [c55]Zarina Rakhimberdina, Tsuyoshi Murata:
Linear Graph Convolutional Model for Diagnosing Brain Disorders. COMPLEX NETWORKS (2) 2019: 815-826 - [c54]Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang:
A General View for Network Embedding as Matrix Factorization. WSDM 2019: 375-383 - [i6]Hoang NT, Choong Jun Jin, Tsuyoshi Murata:
Learning Graph Neural Networks with Noisy Labels. CoRR abs/1905.01591 (2019) - 2018
- [j22]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Variational Approach for Learning Community Structures. Complex. 2018: 4867304:1-4867304:13 (2018) - [c53]Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata:
Robustness of Compressed Convolutional Neural Networks. IEEE BigData 2018: 4829-4836 - [c52]Kaushalya Madhawa, Tsuyoshi Murata:
Exploring Partially Observed Networks with Nonparametric Bandits. COMPLEX NETWORKS (2) 2018: 158-168 - [c51]Hafizh Adi Prasetya, Tsuyoshi Murata:
Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media. COMPLEX NETWORKS (2) 2018: 314-326 - [c50]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Learning Community Structure with Variational Autoencoder. ICDM 2018: 69-78 - [c49]Hiep V. Le, Tsuyoshi Murata, Masato Iguchi:
Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition. ECML/PKDD (3) 2018: 602-617 - [c48]Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden:
Network Embedding Based on a Quasi-Local Similarity Measure. PRICAI (1) 2018: 429-440 - [c47]Arie Wahyu Wijayanto, Tsuyoshi Murata:
Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning. WI 2018: 534-539 - [c46]Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim:
Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure? WIMS 2018: 25:1-25:4 - [c45]Ryuta Matsuno, Tsuyoshi Murata:
MELL: Effective Embedding Method for Multiplex Networks. WWW (Companion Volume) 2018: 1261-1268 - [i5]Kaushalya Madhawa, Tsuyoshi Murata:
Exploring Partially Observed Networks with Nonparametric Bandits. CoRR abs/1804.07059 (2018) - 2017
- [c44]Arie Wahyu Wijayanto, Tsuyoshi Murata:
Flow-Aware Vertex Protection Strategy on Large Social Networks. ASONAM 2017: 58-63 - [c43]Tsuyoshi Murata, Hokuto Koga:
Methods for Influence Maximization in Dynamic Networks. COMPLEX NETWORKS 2017: 955-966 - [c42]Tsuyoshi Murata, Yohei Onuki, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto:
Predicting Relations Between RDF Entities by Deep Neural Network. ESWC (Satellite Events) 2017: 343-354 - [c41]Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto:
Predicting relations of embedded RDF entities by Deep Neural Network. ISWC (Posters, Demos & Industry Tracks) 2017 - [c40]Koji Eguchi, Tsuyoshi Murata:
Constrained Community Detection in Multiplex Networks. SocInfo (1) 2017: 75-87 - 2016
- [j21]Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita:
Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression. New Gener. Comput. 34(1-2): 153-176 (2016) - [c39]Phiradet Bangcharoensap, Tsuyoshi Murata, Hayato Kobayashi, Nobuyuki Shimizu:
Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization. WSDM 2016: 437-446 - 2015
- [j20]Sorn Jarukasemratana, Tsuyoshi Murata:
Edge Weight Method for Community Detection on Mixed Scale-Free Networks. Int. J. Artif. Intell. Tools 24(2): 1540007:1-1540007:24 (2015) - [j19]Sorn Jarukasemratana, Tsuyoshi Murata:
Community Detection in Scale-Free Networks using Edge Weight and Modularity Optimization Method. Inf. Media Technol. 10(1): 133-144 (2015) - [c38]Keisuke Nakata, Tsuyoshi Murata:
Fast Optimization of Hamiltonian for Constrained Community Detection. CompleNet 2015: 79-89 - [c37]Shogo Osawa, Tsuyoshi Murata:
Selecting Seed Nodes for Influence Maximization in Dynamic Networks. CompleNet 2015: 91-98 - [c36]Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi Murata:
Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection. ECML/PKDD (3) 2015: 165-179 - [c35]Tsuyoshi Murata:
Comparison of Inter-Layer Couplings of Multilayer Networks. SITIS 2015: 448-452 - [e1]Tsuyoshi Murata, Koji Mineshima, Daisuke Bekki:
New Frontiers in Artificial Intelligence - JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Kanagawa, Japan, October 27-28, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9067, Springer 2015, ISBN 978-3-662-48118-9 [contents] - 2014
- [j18]Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita:
A Framework for Community Detection in Heterogeneous Multi-Relational Networks. Adv. Complex Syst. 17(6) (2014) - [j17]Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu:
Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks. Inf. Media Technol. 9(2): 162-172 (2014) - [c34]Xin Liu, Tsuyoshi Murata, Ken Wakita:
A unified modularity by encoding the similarity attraction feature into the null model. ASONAM 2014: 521-528 - [c33]Sorn Jarukasemratana, Tsuyoshi Murata:
Edge Weight Method for Community Detection in Scale-Free Networks. WIMS 2014: 15:1-15:9 - [i4]Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita:
A framework for community detection in heterogeneous multi-relational networks. CoRR abs/1407.4989 (2014) - [i3]Xin Liu, Tsuyoshi Murata, Ken Wakita:
Detecting network communities beyond assortativity-related attributes. CoRR abs/1407.4990 (2014) - 2013
- [j16]Sorn Jarukasemratana, Tsuyoshi Murata:
Recent Large Graph Visualization Tools : A Review. Inf. Media Technol. 8(4): 944-960 (2013) - [j15]Sorn Jarukasemratana, Tsuyoshi Murata:
Web Caching Replacement Algorithm Based on Web Usage Data. New Gener. Comput. 31(4): 311-329 (2013) - [c32]Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu:
Community detection algorithm based on centrality and node distance in scale-free networks. HT 2013: 258-262 - [c31]Kyohei Ikematsu, Tsuyoshi Murata:
A Fast Method for Detecting Communities from Tripartite Networks. SocInfo 2013: 192-205 - [c30]Xin Liu, Tsuyoshi Murata, Ken Wakita:
Extracting the multilevel communities based on network structural and nonstructural information. WWW (Companion Volume) 2013: 191-192 - 2012
- [i2]Xin Liu, Tsuyoshi Murata, Ken Wakita:
Extending modularity by incorporating distance functions in the null model. CoRR abs/1210.4007 (2012) - 2011
- [j14]Tsuyoshi Murata:
A New Tripartite Modularity for Detecting Communities. Inf. Media Technol. 6(2): 572-579 (2011) - [j13]Xin Liu, Tsuyoshi Murata:
Detecting Communities in K-Partite K-Uniform (Hyper)Networks. J. Comput. Sci. Technol. 26(5): 778-791 (2011) - [c29]Xin Liu, Tsuyoshi Murata:
Extracting the mesoscopic structure from heterogeneous systems. HT 2011: 211-220 - [c28]Supaporn Spanurattana, Tsuyoshi Murata:
Visual Analysis of Bipartite Networks. ICDM Workshops 2011: 833-838 - 2010
- [j12]Tsuyoshi Murata, Tomoyuki Ikeya:
A New Modularity for Detecting One-to-Many Correspondence of Communities in Bipartite Networks. Adv. Complex Syst. 13(1): 19-31 (2010) - [j11]Xin Liu, Tsuyoshi Murata:
Community Detection in Large-scale Bipartite Networks. Inf. Media Technol. 5(1): 184-192 (2010) - [j10]Xin Liu, Tsuyoshi Murata:
An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks. J. Adv. Comput. Intell. Intell. Informatics 14(4): 408-415 (2010) - [c27]Tsuyoshi Murata:
Modularity for heterogeneous networks. HT 2010: 129-134 - [c26]Swit Phuvipadawat, Tsuyoshi Murata:
Breaking News Detection and Tracking in Twitter. Web Intelligence/IAT Workshops 2010: 120-123 - [c25]Xin Liu, Tsuyoshi Murata:
Evaluating Community Structure in Bipartite Networks. SocialCom/PASSAT 2010: 576-581 - [c24]Tsuyoshi Murata:
Detecting communities from tripartite networks. WWW 2010: 1159-1160 - [p3]Tsuyoshi Murata:
Detecting Communities in Social Networks. Handbook of Social Network Technologies 2010: 269-280 - [p2]Tsuyoshi Murata:
Modularity for Bipartite Networks. Data Mining for Social Network Data 2010: 109-123 - [i1]Xin Liu, Tsuyoshi Murata:
Detecting Communities in Tripartite Hypergraphs. CoRR abs/1011.1043 (2010)
2000 – 2009
- 2009
- [c23]Tsuyoshi Murata:
Community Division of Heterogeneous Networks. Complex (1) 2009: 1011-1022 - [c22]Tsuyoshi Murata:
Detecting Communities from Bipartite Networks Based on Bipartite Modularities. CSE (4) 2009: 50-57 - [c21]Tsuyoshi Murata:
Modularities for bipartite networks. Hypertext 2009: 245-250 - [c20]Xin Liu, Tsuyoshi Murata:
How Does Label Propagation Algorithm Work in Bipartite Networks? Web Intelligence/IAT Workshops 2009: 5-8 - [c19]Xin Liu, Tsuyoshi Murata:
Community Detection in Large-Scale Bipartite Networks. Web Intelligence 2009: 50-57 - 2008
- [j9]Tsuyoshi Murata, Sakiko Moriyasu:
Link Prediction based on Structural Properties of Online Social Networks. New Gener. Comput. 26(3): 245-257 (2008) - [c18]Tsuyoshi Murata:
Discovering, Visualizing and Evaluating Online Bipartite Communities. Web Intelligence/IAT Workshops 2008: 161-164 - [c17]Tsuyoshi Murata, Tomoyuki Ikeya:
Analysis of Online Question-Answering Forums as Heterogeneous Networks. ICWSM 2008 - [c16]Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato:
Identification of MCMC Samples for Clustering. LKR 2008: 27-37 - 2007
- [j8]Tsuyoshi Murata:
Discovery of User Communities Based on Terms of Web Log Data. New Gener. Comput. 25(3): 293-303 (2007) - [j7]Seiji Yamada, Tsuyoshi Murata:
Special Issue on Intelligent Web Interaction. New Gener. Comput. 26(1): 1-2 (2007) - [j6]Tsuyoshi Murata:
Detection of Breaking News from Online Web Search Queries. New Gener. Comput. 26(1): 63-73 (2007) - [c15]Tsuyoshi Murata, Koji Takeichi:
Discovering and Visualizing Network Communities. Web Intelligence/IAT Workshops 2007: 217-220 - [c14]Tsuyoshi Murata, Sakiko Moriyasu:
Link Prediction of Social Networks Based on Weighted Proximity Measures. Web Intelligence 2007: 85-88 - [p1]Tsuyoshi Murata, Kota Saito:
Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph. Emergent Intelligence of Networked Agents 2007: 139-146 - 2006
- [c13]Tsuyoshi Murata:
Towards the Detection of Breaking News from Online Web Search Keywords. IAT Workshops 2006: 401-404 - [c12]Tsuyoshi Murata, Kuniko Saito:
Extracting Keywords of Web Users' Interests and Visualizing their Routine Visits. ICARCV 2006: 1-6 - [c11]Tsuyoshi Murata, Kota Saito:
Extracting Users' Interests from Web Log Data. Web Intelligence 2006: 343-346 - 2005
- [c10]Tsuyoshi Murata:
Extraction of Structural Information from the Web. FSKD (2) 2005: 1204-1207 - 2004
- [c9]Tsuyoshi Murata:
Roles of Diagrammatic Information for the Discovery of Geometrical Theorems. Diagrams 2004: 235-238 - [c8]Tsuyoshi Murata:
Discovery of User Communities from Web Audience Measurement Data. Web Intelligence 2004: 673-676 - 2003
- [j5]Tsuyoshi Murata:
Visualizing the structure of Web communities based on data acquired from a search engine. IEEE Trans. Ind. Electron. 50(5): 860-866 (2003) - [c7]Tsuyoshi Murata:
Discovery of Web Communities from Positive and Negative Examples. Discovery Science 2003: 369-376 - 2002
- [j4]Tsuyoshi Murata, Hiroki Kato, Masamichi Shimura, Masayuki Numao:
DIPS: Diagrammatic arithmetic problem solver. Syst. Comput. Jpn. 33(6): 112-120 (2002) - 2001
- [j3]Tsuyoshi Murata, Ran Hosoya, Shingo Kawabe, Masamichi Shimura:
A problem solver for quadratic functions. Syst. Comput. Jpn. 32(2): 32-42 (2001) - [j2]Tsuyoshi Murata, Masamichi Shimura:
A method of inductive machine discovery based on experimental data acquisition. Syst. Comput. Jpn. 32(4): 69-75 (2001) - [c6]Tsuyoshi Murata:
A Method for Discovering Purified Web Communities. Discovery Science 2001: 282-289 - [c5]Tsuyoshi Murata:
Finding Related Web Pages Based on Connectivity Information from a Search Engine. WWW Posters 2001 - 2000
- [c4]Tsuyoshi Murata:
Discovery of Web Communities Based on the Co-Occurence of References. Discovery Science 2000: 65-75
1990 – 1999
- 1999
- [c3]Tsuyoshi Murata:
Machine Discovery Based on the Co-occurrence of References in a Search Engine. Discovery Science 1999: 220-229 - 1998
- [j1]Tsuyoshi Murata, Masamichi Shimura:
A method of machine discovery based on geometrical structure. Syst. Comput. Jpn. 29(6): 74-81 (1998) - 1996
- [c2]Tsuyoshi Murata, Masamichi Shimura:
Machine Discovery Based on Numerical Data Generated in Computer Experiments. AAAI/IAAI, Vol. 1 1996: 737-742 - 1994
- [c1]Tsuyoshi Murata, Masami Mizutani, Masamichi Shimura:
A Discovery System for Trigonometric Functions. AAAI 1994: 645-650
Coauthor Index
[j43] [c70] [i22] [i21] [j41] [j40] [c69] [i19] [j39] [j38] [j37] [c68] [c67] [c66] [j36] [j35] [j34] [j32] [c65] [c64] [i15] [i14] [i13] [i12] [i11] [i10] [j30] [j28] [i9] [j27] [j23] [c57] [c56] [c54] [j22] [c50] [c48] [c46] [j21] [j18] [j17] [c34] [i4] [i3] [c32] [c30] [i2] [j13] [c29] [j11] [j10] [c25] [i1] [c20] [c19]
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last updated on 2024-09-06 00:38 CEST by the dblp team
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