Tsuyoshi Murata

According to our database, Tsuyoshi Murata authored at least 127 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Influence maximization on temporal networks: a review.

Eric Yanchenko, Tsuyoshi Murata, Petter Holme

Appl. Netw. Sci., December, 2024

Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs.

Ruidong Jin, Xin Liu, Tsuyoshi Murata

Mach. Learn., April, 2024

Future-Proofing Class Incremental Learning.

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

CoRR, 2024

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise.

Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Link prediction for ex ante influence maximization on temporal networks.

Eric Yanchenko, Tsuyoshi Murata, Petter Holme

Appl. Netw. Sci., December, 2023

Heterogeneous graph embedding with single-level aggregation and infomax encoding.

Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata

Mach. Learn., November, 2023

Feature selection: Key to enhance node classification with graph neural networks.

Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata

CAAI Trans. Intell. Technol., March, 2023

Modularity-based selection of the number of slices in temporal network clustering.

Patrik Seiron, Axel Lindegren, Matteo Magnani, Christian Rohner, Tsuyoshi Murata, Petter Holme

CoRR, 2023

Class-Incremental Learning using Diffusion Model for Distillation and Replay.

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Simplifying approach to node classification in Graph Neural Networks.

Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata

J. Comput. Sci., 2022

Balanced softmax cross-entropy for incremental learning with and without memory.

Quentin Jodelet, Xin Liu, Tsuyoshi Murata

Comput. Vis. Image Underst., 2022

Modularity Optimization as a Training Criterion for Graph Neural Networks.

Tsuyoshi Murata, Naveed Afzal

CoRR, 2022

Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes.

Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata

IEEE Access, 2022

Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph.

Ruidong Jin, Xin Liu, Tsuyoshi Murata

Proceedings of the Discovery Science - 25th International Conference, 2022

Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification.

Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Leaping through Time with Gradient-Based Adaptation for Recommendation.

Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks.

Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai

IEEE Trans. Netw. Sci. Eng., 2021

Graph Neural Networks for Fast Node Ranking Approximation.

Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata

ACM Trans. Knowl. Discov. Data, 2021

COVID-19 and Networks.

Tsuyoshi Murata

New Gener. Comput., 2021

PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding.

Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata

Inf. Sci., 2021

Graph convolutional networks for graphs containing missing features.

Hibiki Taguchi, Xin Liu, Tsuyoshi Murata

Future Gener. Comput. Syst., 2021

Natural Image Reconstruction from fMRI using Deep Learning: A Survey.

Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata

CoRR, 2021

Improving Graph Neural Networks with Simple Architecture Design.

Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata

CoRR, 2021

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks.

Ruidong Jin, Tianqi Xia, Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim

IEEE Access, 2021

Development of IPSJ Data Science Curriculum Standard.

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

Proceedings of the Digital Transformation of Education and Learning - Past, Present and Future, 2021

Balanced Softmax Cross-Entropy for Incremental Learning.

Quentin Jodelet, Xin Liu, Tsuyoshi Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph.

Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder.

Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata

Sensors, 2020

Active Learning for Node Classification: An Evaluation.

Kaushalya Madhawa, Tsuyoshi Murata

Entropy, 2020

Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization.

Jun Jin Choong, Xin Liu, Tsuyoshi Murata

Entropy, 2020

Stacked Graph Filter.

Hoang NT, Takanori Maehara, Tsuyoshi Murata

CoRR, 2020

MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning.

Kaushalya Madhawa, Tsuyoshi Murata

CoRR, 2020

Revisiting Graph Neural Networks: Graph Filtering Perspective.

Hoang NT, Takanori Maehara, Tsuyoshi Murata

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Prediction.

Hajime Miyazawa, Tsuyoshi Murata

Proceedings of the Complex Networks & Their Applications IX, 2020

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Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory.

Hiep V. Le, Tsuyoshi Murata, Masato Iguchi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Graph Neural Networks with Noisy Labels.

Hoang NT, Choong Jun Jin, Tsuyoshi Murata

CoRR, 2019

How much topological structure is preserved by graph embeddings?

Xin Liu, Chenyi Zhuang, Tsuyoshi Murata, Kyoung-Sook Kim, Natthawut Kertkeidkachorn

Comput. Sci. Inf. Syst., 2019

Effective and scalable methods for graph protection strategies against epidemics on dynamic networks.

Arie Wahyu Wijayanto, Tsuyoshi Murata

Appl. Netw. Sci., 2019

Relation prediction in knowledge graph by Multi-Label Deep Neural Network.

Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto

Appl. Netw. Sci., 2019

A multi-armed bandit approach for exploring partially observed networks.

Kaushalya Madhawa, Tsuyoshi Murata

Appl. Netw. Sci., 2019

Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation.

Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu

IEEE Access, 2019

A General View for Network Embedding as Matrix Factorization.

Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Linear Graph Convolutional Model for Diagnosing Brain Disorders.

Zarina Rakhimberdina, Tsuyoshi Murata

Proceedings of the Complex Networks and Their Applications VIII, 2019

Fast Approximations of Betweenness Centrality with Graph Neural Networks.

Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Optimizing Variational Graph Autoencoder for Community Detection.

Jun Jin Choong, Xin Liu, Tsuyoshi Murata

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Towards Robust Compressed Convolutional Neural Networks.

Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

Variational Approach for Learning Community Structures.

Jun Jin Choong, Xin Liu, Tsuyoshi Murata

Complex., 2018

MELL: Effective Embedding Method for Multiplex Networks.

Ryuta Matsuno, Tsuyoshi Murata

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?

Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning.

Arie Wahyu Wijayanto, Tsuyoshi Murata

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Network Embedding Based on a Quasi-Local Similarity Measure.

Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition.

Hiep V. Le, Tsuyoshi Murata, Masato Iguchi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Learning Community Structure with Variational Autoencoder.

Jun Jin Choong, Xin Liu, Tsuyoshi Murata

Proceedings of the IEEE International Conference on Data Mining, 2018

Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media.

Hafizh Adi Prasetya, Tsuyoshi Murata

Proceedings of the Complex Networks and Their Applications VII, 2018

Exploring Partially Observed Networks with Nonparametric Bandits.

Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of the Complex Networks and Their Applications VII, 2018

Robustness of Compressed Convolutional Neural Networks.

Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Constrained Community Detection in Multiplex Networks.

Koji Eguchi, Tsuyoshi Murata

Proceedings of the Social Informatics, 2017

Predicting relations of embedded RDF entities by Deep Neural Network.

Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto

Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Predicting Relations Between RDF Entities by Deep Neural Network.

Tsuyoshi Murata, Yohei Onuki, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto

Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

Methods for Influence Maximization in Dynamic Networks.

Tsuyoshi Murata, Hokuto Koga

Proceedings of the Complex Networks & Their Applications VI, 2017

Flow-Aware Vertex Protection Strategy on Large Social Networks.

Arie Wahyu Wijayanto, Tsuyoshi Murata

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression.

Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita

New Gener. Comput., 2016

Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization.

Phiradet Bangcharoensap, Tsuyoshi Murata, Hayato Kobayashi, Nobuyuki Shimizu

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015

Community Detection in Scale-Free Networks using Edge Weight and Modularity Optimization Method.

Sorn Jarukasemratana, Tsuyoshi Murata

Inf. Media Technol., 2015

Edge Weight Method for Community Detection on Mixed Scale-Free Networks.

Sorn Jarukasemratana, Tsuyoshi Murata

Int. J. Artif. Intell. Tools, 2015

Comparison of Inter-Layer Couplings of Multilayer Networks.

Tsuyoshi Murata

Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection.

Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi Murata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Selecting Seed Nodes for Influence Maximization in Dynamic Networks.

Shogo Osawa, Tsuyoshi Murata

Proceedings of the Complex Networks VI, 2015

Fast Optimization of Hamiltonian for Constrained Community Detection.

Keisuke Nakata, Tsuyoshi Murata

Proceedings of the Complex Networks VI, 2015

2014

Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks.

Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu

Inf. Media Technol., 2014

Detecting network communities beyond assortativity-related attributes.

Xin Liu, Tsuyoshi Murata, Ken Wakita

CoRR, 2014

A Framework for Community Detection in Heterogeneous Multi-Relational Networks.

Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita

Adv. Complex Syst., 2014

Edge Weight Method for Community Detection in Scale-Free Networks.

Sorn Jarukasemratana, Tsuyoshi Murata

Proceedings of the 4th International Conference on Web Intelligence, 2014

A unified modularity by encoding the similarity attraction feature into the null model.

Xin Liu, Tsuyoshi Murata, Ken Wakita

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Web Caching Replacement Algorithm Based on Web Usage Data.

Sorn Jarukasemratana, Tsuyoshi Murata

New Gener. Comput., 2013

Recent Large Graph Visualization Tools : A Review.

Sorn Jarukasemratana, Tsuyoshi Murata

Inf. Media Technol., 2013

Extracting the multilevel communities based on network structural and nonstructural information.

Xin Liu, Tsuyoshi Murata, Ken Wakita

Proceedings of the 22nd International World Wide Web Conference, 2013

A Fast Method for Detecting Communities from Tripartite Networks.

Kyohei Ikematsu, Tsuyoshi Murata

Proceedings of the Social Informatics - 5th International Conference, 2013

Community detection algorithm based on centrality and node distance in scale-free networks.

Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu

Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

2012

Extending modularity by incorporating distance functions in the null model

Xin Liu, Tsuyoshi Murata, Ken Wakita

CoRR, 2012

2011

Detecting Communities in K-Partite K-Uniform (Hyper)Networks.

Xin Liu, Tsuyoshi Murata

J. Comput. Sci. Technol., 2011

A New Tripartite Modularity for Detecting Communities.

Tsuyoshi Murata

Inf. Media Technol., 2011

Visual Analysis of Bipartite Networks.

Supaporn Spanurattana, Tsuyoshi Murata

Proceedings of the Data Mining Workshops (ICDMW), 2011

Extracting the mesoscopic structure from heterogeneous systems.

Xin Liu, Tsuyoshi Murata

Proceedings of the HT'11, 2011

2010

Modularity for Bipartite Networks.

Tsuyoshi Murata

Proceedings of the Data Mining for Social Network Data, 2010

Detecting Communities in Social Networks.

Tsuyoshi Murata

Proceedings of the Handbook of Social Network Technologies and Applications, 2010

An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks.

Xin Liu, Tsuyoshi Murata

J. Adv. Comput. Intell. Intell. Informatics, 2010

Community Detection in Large-scale Bipartite Networks.

Xin Liu, Tsuyoshi Murata

Inf. Media Technol., 2010

Detecting Communities in Tripartite Hypergraphs

Xin Liu, Tsuyoshi Murata

CoRR, 2010

A New Modularity for Detecting One-to-Many Correspondence of Communities in Bipartite Networks.

Tsuyoshi Murata, Tomoyuki Ikeya

Adv. Complex Syst., 2010

Detecting communities from tripartite networks.

Tsuyoshi Murata

Proceedings of the 19th International Conference on World Wide Web, 2010

Evaluating Community Structure in Bipartite Networks.

Xin Liu, Tsuyoshi Murata

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Breaking News Detection and Tracking in Twitter.

Swit Phuvipadawat, Tsuyoshi Murata

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

Modularity for heterogeneous networks.

Tsuyoshi Murata

Proceedings of the HT'10, 2010

2009

How Does Label Propagation Algorithm Work in Bipartite Networks?

Xin Liu, Tsuyoshi Murata

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

Modularities for bipartite networks.

Tsuyoshi Murata

Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

Detecting Communities from Bipartite Networks Based on Bipartite Modularities.

Tsuyoshi Murata

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Community Division of Heterogeneous Networks.

Tsuyoshi Murata

Proceedings of the Complex Sciences, 2009

2008

Link Prediction based on Structural Properties of Online Social Networks.

Tsuyoshi Murata, Sakiko Moriyasu

New Gener. Comput., 2008

Identification of MCMC Samples for Clustering.

Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato

Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

Analysis of Online Question-Answering Forums as Heterogeneous Networks.

Tsuyoshi Murata, Tomoyuki Ikeya

Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Discovering, Visualizing and Evaluating Online Bipartite Communities.

Tsuyoshi Murata

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007

Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph.

Tsuyoshi Murata, Kota Saito

Proceedings of the Emergent Intelligence of Networked Agents, 2007

Special Issue on Intelligent Web Interaction.

Seiji Yamada, Tsuyoshi Murata

New Gener. Comput., 2007

Detection of Breaking News from Online Web Search Queries.

Tsuyoshi Murata

New Gener. Comput., 2007

Discovery of User Communities Based on Terms of Web Log Data.

Tsuyoshi Murata

New Gener. Comput., 2007

Link Prediction of Social Networks Based on Weighted Proximity Measures.

Tsuyoshi Murata, Sakiko Moriyasu

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Discovering and Visualizing Network Communities.

Tsuyoshi Murata, Koji Takeichi

Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

2006

Extracting Users' Interests from Web Log Data.

Tsuyoshi Murata, Kota Saito

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Extracting Keywords of Web Users' Interests and Visualizing their Routine Visits.

Tsuyoshi Murata, Kuniko Saito

Proceedings of the Ninth International Conference on Control, 2006

Towards the Detection of Breaking News from Online Web Search Keywords.

Tsuyoshi Murata

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005

Extraction of Structural Information from the Web.

Tsuyoshi Murata

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004

Discovery of User Communities from Web Audience Measurement Data.

Tsuyoshi Murata

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Roles of Diagrammatic Information for the Discovery of Geometrical Theorems.

Tsuyoshi Murata

Proceedings of the Diagrammatic Representation and Inference, 2004

2003

Visualizing the structure of Web communities based on data acquired from a search engine.

Tsuyoshi Murata

IEEE Trans. Ind. Electron., 2003

Discovery of Web Communities from Positive and Negative Examples.

Tsuyoshi Murata

Proceedings of the Discovery Science, 6th International Conference, 2003

2002

DIPS: Diagrammatic arithmetic problem solver.

Tsuyoshi Murata, Hiroki Kato, Masamichi Shimura, Masayuki Numao

Syst. Comput. Jpn., 2002

2001

A method of inductive machine discovery based on experimental data acquisition.

Tsuyoshi Murata, Masamichi Shimura

Syst. Comput. Jpn., 2001

A problem solver for quadratic functions.

Tsuyoshi Murata, Ran Hosoya, Shingo Kawabe, Masamichi Shimura

Syst. Comput. Jpn., 2001

Finding Related Web Pages Based on Connectivity Information from a Search Engine.

Tsuyoshi Murata

Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

A Method for Discovering Purified Web Communities.

Tsuyoshi Murata

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000

Discovery of Web Communities Based on the Co-Occurence of References.

Tsuyoshi Murata

Proceedings of the Discovery Science, 2000

1999

Machine Discovery Based on the Co-occurrence of References in a Search Engine.

Tsuyoshi Murata

Proceedings of the Discovery Science, 1999

1998

A method of machine discovery based on geometrical structure.

Tsuyoshi Murata, Masamichi Shimura

Syst. Comput. Jpn., 1998

1996

Machine Discovery Based on Numerical Data Generated in Computer Experiments.

Tsuyoshi Murata, Masamichi Shimura

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1994

A Discovery System for Trigonometric Functions.

Tsuyoshi Murata, Masami Mizutani, Masamichi Shimura

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994