Shin Matsushima

Most-cited papers

Selective Sampling-based Scalable Sparse Subspace Clustering
Shin Matsushima, Maria Brbic
2019Neural Information Processing Systems64 citations
Semantic Scholar
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
T. Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura +29 more
20222022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)44 citations Open access
Semantic Scholar
WordRank: Learning Word Embeddings via Robust Ranking
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima +1 more
2015Conference on Empirical Methods in Natural Language Processing38 citations Open access
Semantic Scholar
ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management
Minoru Yoshida, Shin Matsushima, Shingo Ono, Issei Sato +1 more
2010Conference and Labs of the Evaluation Forum29 citations
Semantic Scholar
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
Shin Matsushima, N. Shimizu, Kazuhiro Yoshida, Takashi Ninomiya +1 more
2010SDM24 citations
Semantic Scholar
Linear support vector machines via dual cached loops
Shin Matsushima, S. Vishwanathan, Alex Smola
2012Knowledge Discovery and Data Mining21 citations
Semantic Scholar
Traffic Risk Mining From Heterogeneous Road Statistics
Koichi Moriya, Shin Matsushima, K. Yamanishi
2018IEEE transactions on intelligent transportation systems (Print)16 citations Open access
Semantic Scholar
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
Parameswaran Raman, S. Srinivasan, Shin Matsushima, Xin-Hua Zhang +2 more
2016arXiv.org12 citations
Semantic Scholar
Scaling Multinomial Logistic Regression via Hybrid Parallelism
Parameswaran Raman, S. Srinivasan, Shin Matsushima, Xin-Hua Zhang +2 more
2019Knowledge Discovery and Data Mining8 citations Open access
Semantic Scholar
Sparse Graphical Modeling via Stochastic Complexity
Kohei Miyaguchi, Shin Matsushima, K. Yamanishi
2017SDM6 citations Open access
Semantic Scholar
Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem
Shin Matsushima, Hyokun Yun, Xin-Hua Zhang, S. Vishwanathan
2014ECML/PKDD6 citations Open access
Semantic Scholar
Frequency-Aware Truncated Methods for Sparse Online Learning
H. Oiwa, Shin Matsushima, H. Nakagawa
2011ECML/PKDD5 citations
Semantic Scholar
Totally Corrective Boosting with Cardinality Penalization
Vasil S. Denchev, Nan Ding, Shin Matsushima, S. Vishwanathan +1 more
2015arXiv.org4 citations
Semantic Scholar
Feature-aware regularization for sparse online learning
H. Oiwa, Shin Matsushima, H. Nakagawa
2014Science China Information Sciences4 citations
Semantic Scholar
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle
Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima
20222022 IEEE International Conference on Big Data (Big Data)3 citations
Semantic Scholar
Statistical Learnability of Generalized Additive Models based on Total Variation Regularization
Shin Matsushima
2018arXiv.org3 citations
Semantic Scholar
Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization
Tai-To Lee, Shin Matsushima, K. Yamanishi
2016International Conference on Data Science and Advanced Analytics3 citations
Semantic Scholar
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging
H. Oiwa, Shin Matsushima, H. Nakagawa
20122012 IEEE 12th International Conference on Data Mining3 citations
Semantic Scholar
Model Selection for Non-Negative Tensor Factorization with Minimum Description Length
Yun Fu, Shin Matsushima, K. Yamanishi
2019Entropy2 citations Open access
Semantic Scholar
Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization
Akihiro Demachi, Shin Matsushima, K. Yamanishi
2016International Conference on Data Science and Advanced Analytics2 citations
Semantic Scholar
Coordinate Descent Method for Log-linear Model on Posets
S. Hayashi, M. Sugiyama, Shin Matsushima
2020International Conference on Data Science and Advanced Analytics1 citations
Semantic Scholar
Grafting for combinatorial binary model using frequent itemset mining
Tai-To Lee, Shin Matsushima, K. Yamanishi
2017Data mining and knowledge discovery1 citations Open access
Semantic Scholar
Traffic risk mining from heterogeneous road statistics
K. Moriya, Shin Matsushima, K. Yamanishi
2015International Conference on Data Science and Advanced Analytics1 citations
Semantic Scholar
Online Learning From Capricious Feature Data Streams
Han Zhou, Shin Matsushima
2026IEEE Transactions on Knowledge and Data Engineering0 citations
Semantic Scholar
Detection of unobserved common causes under additive noise models based on NML code for discrete, mixed, and continuous variables
Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima
2026Data mining and knowledge discovery0 citations Open access
Semantic Scholar
MDL Meets Latent Confounders: LNML-based Causal Discovery
Zhong-Yi Que, Shin Matsushima, Kenji Yamanishi
2026arXiv.org0 citations
Semantic Scholar
Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables
Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima
2024arXiv.org0 citations
Semantic Scholar
Discovering potential traffic risks in Japan using a supervised learning approach
Tatsuru Kobayashi, Shin Matsushima, Tai-To Lee, K. Yamanishi
20172017 IEEE International Conference on Big Data (Big Data)0 citations
Semantic Scholar
部分的に規則化した非負行列因数分解を用いた交通リスクマイニング【Powered by NICT】
Tai-To Lee, Shin Matsushima, K. Yamanishi
20160 citations
Semantic Scholar
Asynchronous Feature Extraction for Large-Scale Linear Predictors
Shin Matsushima
2016ECML/PKDD0 citations
Semantic Scholar
スパース非負行列因数分解を用いたWeb挙動解析【Powered by NICT】
Demachi Akihiro, Shin Matsushima, K. Yamanishi
20160 citations
Semantic Scholar
Feature-aware regularization for sparse online learning
H. Oiwa, Shin Matsushima, H. Nakagawa
2014Science China Information Sciences0 citations
Semantic Scholar
PA アルゴリズムにおけるラベルなしデータからの学習 Learning PA Algorithm with Unlabeled Data
Shin Matsushima, Pa
20100 citations
Semantic Scholar
Online Semisupervised Learning on Multiclass Classificatio
Shin Matsushima, N. Shimizu, Issei Sato, Takashi Ninomiya +1 more
20090 citations
Semantic Scholar
Procede et appareil pour l'introduction d'etiquettes dans un moule metallique de moulage par injection
Akio Nakamura, N. Tsukuda, Shin Matsushima
19930 citations
Semantic Scholar
Method for supplying label to injection molding die
Shin Matsushima, Akio Nakamura, N. Tsukuda, 昭雄中村 +1 more
19920 citations
Semantic Scholar