Kenji Yamanishi

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 75

Top Venues

Publications

Kento Urano, Ryo Yuki, Kenji Yamanishi
Clustering Change Sign Detection by Fusing Mixture Complexity. CoRR (2024)
Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds. NeurIPS (2023)
Kenji Yamanishi, So Hirai
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality. CoRR (2023)
Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi
Tight and fast generalization error bound of graph embedding in metric space. ICML (2023)
Chuan-hao Lin, Linchuan Xu, Kenji Yamanishi
Network Change Detection Based on Random Walk in Latent Space. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi
Tight and fast generalization error bound of graph embedding in metric space. CoRR (2023)
Yanjin Li, Linchuan Xu, Kenji Yamanishi
GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. ICDM (2023)
Ryo Yuki, Atsushi Suzuki, Kenji Yamanishi
Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. ICDM (2023)
Ryo Yuki, Yuichi Ike, Kenji Yamanishi
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length. Knowl. Inf. Syst. 65 (12) (2023)
Kenji Yamanishi, So Hirai
Detecting signs of model change with continuous model selection based on descriptive dimensionality. Appl. Intell. 53 (22) (2023)
Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds. CoRR (2023)
Shintaro Fukushima, Kenji Yamanishi
Balancing Summarization and Change Detection in Graph Streams. CoRR (2023)
Shintaro Fukushima, Kenji Yamanishi
Balancing Summarization and Change Detection in Graph Streams. ICDM (2023)
Ryo Yuki, Yuichi Ike, Kenji Yamanishi
Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length. ICDM (2022)
Shunki Kyoya, Kenji Yamanishi
Mixture Complexity and Its Application to Gradual Clustering Change Detection. Entropy 24 (10) (2022)
Kohei Ueda, Yuichi Ike, Kenji Yamanishi
Change Detection with Probabilistic Models on Persistence Diagrams. ICDM (2022)
So Hirai, Kenji Yamanishi
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity. IEEE BigData (2021)
Shintaro Fukushima, Ryoga Kanai, Kenji Yamanishi
Graph Summarization with Latent Variable Probabilistic Models. COMPLEX NETWORKS (2021)
Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi
Generalization Error Bound for Hyperbolic Ordinal Embedding. CoRR (2021)
Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi
PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. KDD (2021)
Atsushi Suzuki, Kenji Yamanishi
Fourier-Analysis-Based Form of Normalized Maximum Likelihood: Exact Formula and Relation to Complex Bayesian Prior. IEEE Trans. Inf. Theory 67 (9) (2021)
Shunki Kyoya, Kenji Yamanishi
Summarizing Finite Mixture Model with Overlapping Quantification. Entropy 23 (11) (2021)
Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi
Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. 35 (3) (2021)
Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Pham Thuc Hung, Kenji Yamanishi
Word2vec Skip-Gram Dimensionality Selection via Sequential Normalized Maximum Likelihood. Entropy 23 (8) (2021)
Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. NeurIPS (2021)
Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza
Generalization Error Bound for Hyperbolic Ordinal Embedding. ICML (2021)
Shintaro Fukushima, Kenji Yamanishi
Detecting Hierarchical Changes in Latent Variable Models. CoRR (2020)
Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
Discovering Latent Class Labels for Multi-Label Learning. IJCAI (2020)
Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi
Online Robust and Adaptive Learning from Data Streams. CoRR (2020)
Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. CoRR (2020)
Pham Thuc Hung, Kenji Yamanishi
Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood. CoRR (2020)
Taito Lee, Shin Matsushima, Kenji Yamanishi
Grafting for combinatorial binary model using frequent itemset mining. Data Min. Knowl. Discov. 34 (1) (2020)
Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. CoRR (2020)
Shintaro Fukushima, Kenji Yamanishi
Detecting Hierarchical Changes in Latent Variable Models. ICDM (2020)
Shunki Kyoya, Kenji Yamanishi
Mixture Complexity and Its Application to Gradual Clustering Change Detection. CoRR (2020)
Yunhui Fu, Shin Matsushima, Kenji Yamanishi
Model Selection for Non-Negative Tensor Factorization with Minimum Description Length. Entropy 21 (7) (2019)
Jilles Vreeken, Kenji Yamanishi
Modern MDL meets Data Mining Insights, Theory, and Practice. KDD (2019)
Shintaro Fukushima, Kenji Yamanishi
Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle. Entropy 21 (12) (2019)
Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
Attributed Subspace Clustering. IJCAI (2019)
Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
Orderly Subspace Clustering. AAAI (2019)
Kenji Yamanishi
Descriptive Dimensionality and Its Characterization of MDL-based Learning and Change Detection. CoRR (2019)
So Hirai, Kenji Yamanishi
Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics. IEEE BigData (2019)
Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi
Hyperbolic Ordinal Embedding. ACML (2019)
Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. KDD (2019)
So Hirai, Kenji Yamanishi
Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Trans. Inf. Theory 65 (10) (2019)
Kenji Yamanishi, Tianyi Wu, Shinya Sugawara, Makoto Okada
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models. Data Min. Knowl. Discov. 33 (4) (2019)
Kohei Miyaguchi, Kenji Yamanishi
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity. AISTATS (2019)
Atsushi Suzuki, Kenji Yamanishi
Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis. ISIT (2018)
Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. KDD (2018)
Yosuke Enokida, Atsushi Suzuki, Kenji Yamanishi
Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings. CoRR (2018)
Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi
Ranking Preserving Nonnegative Matrix Factorization. IJCAI (2018)
Kohei Miyaguchi, Kenji Yamanishi
High-dimensional Penalty Selection via Minimum Description Length Principle. CoRR (2018)
Koichi Moriya, Shin Matsushima, Kenji Yamanishi
Traffic Risk Mining From Heterogeneous Road Statistics. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Kenji Yamanishi, Shintaro Fukushima
Model Change Detection With the MDL Principle. IEEE Trans. Inf. Theory 64 (9) (2018)
Kohei Miyaguchi, Kenji Yamanishi
-Balls via Envelope Complexity. CoRR (2018)
Kohei Miyaguchi, Kenji Yamanishi
High-dimensional penalty selection via minimum description length principle. Mach. Learn. 107 (8-10) (2018)
So Hirai, Kenji Yamanishi
Detecting Latent Structure Uncertainty with Structural Entropy. IEEE BigData (2018)
Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi
Sparse Graphical Modeling via Stochastic Complexity. SDM (2017)
So Hirai, Kenji Yamanishi
An Upper Bound on Normalized Maximum Likelihood Codes for Gaussian Mixture Models. CoRR (2017)
Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi
Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length. DSAA (2017)
Taito Lee, Shin Matsushima, Kenji Yamanishi
Grafting for Combinatorial Boolean Model using Frequent Itemset Mining. CoRR (2017)
Kohei Miyaguchi, Kenji Yamanishi
Online detection of continuous changes in stochastic processes. Int. J. Data Sci. Anal. 3 (3) (2017)
Tianyi Wu, Shinya Sugawara, Kenji Yamanishi
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models. KDD (2017)
Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes. KDD (2017)
Ryoya Kaneko, Kohei Miyaguchi, Kenji Yamanishi
Detecting changes in streaming data with information-theoretic windowing. IEEE BigData (2017)
Tatsuru Kobayashi, Shin Matsushima, Taito Lee, Kenji Yamanishi
Discovering potential traffic risks in Japan using a supervised learning approach. IEEE BigData (2017)
Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors. CoRR (2016)
Kenji Yamanishi, Kohei Miyaguchi
Detecting gradual changes from data stream using MDL-change statistics. IEEE BigData (2016)
Akihiro Demachi, Shin Matsushima, Kenji Yamanishi
Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization. DSAA (2016)
Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. ICDM (2016)
Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi
Temporal Network Change Detection Using Network Centralities. DSAA (2016)
Kyosuke Tomoda, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Predicting Glaucomatous Progression with Piecewise Regression Model from Heterogeneous Medical Data. HEALTHINF (2016)
Taito Lee, Shin Matsushima, Kenji Yamanishi
Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization. DSAA (2016)
Yu Ito, Shinichi Oeda, Kenji Yamanishi
Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding. SDM (2016)
Shota Saito, Ryota Tomioka, Kenji Yamanishi
Early detection of persistent topics in social networks. Soc. Netw. Anal. Min. 5 (1) (2015)
Kohei Miyaguchi, Kenji Yamanishi
On-line detection of continuous changes in stochastic processes. DSAA (2015)
Koichi Moriya, Shin Matsushima, Kenji Yamanishi
Traffic risk mining from heterogeneous road statistics. DSAA (2015)
Yu Hayashi, Kenji Yamanishi
Sequential network change detection with its applications to ad impact relation analysis. Data Min. Knowl. Discov. 29 (1) (2015)
Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. KDD (2015)
Yoshiki Sakai, Kenji Yamanishi
Data Fusion Using Restricted Boltzmann Machines. ICDM (2014)
Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
Discovering Emerging Topics in Social Streams via Link-Anomaly Detection. IEEE Trans. Knowl. Data Eng. 26 (1) (2014)
Shigeru Maya, Kai Morino, Kenji Yamanishi
Predicting glaucoma progression using multi-task learning with heterogeneous features. IEEE BigData (2014)
Shinichi Oeda, Yu Ito, Kenji Yamanishi
Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations. EDM (2014)
Shota Saito, Ryota Tomioka, Kenji Yamanishi
Early detection of persistent topics in social networks. ASONAM (2014)
So Hirai, Kenji Yamanishi
Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Trans. Inf. Theory 59 (11) (2013)
Sho-Ichi Sato, Kenji Yamanishi
Graph Partitioning Change Detection Using Tree-Based Clustering. ICDM (2013)
Zenghan Liang, Ryota Tomioka, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements. ICDM (2013)
Shinichi Oeda, Kenji Yamanishi
Extracting Time-evolving Latent Skills from Examination Time Series. EDM (2013)
Yoshiki Sakai, Kenji Yamanishi
An NML-based model selection criterion for general relational data modeling. IEEE BigData (2013)
Yu Hayashi, Kenji Yamanishi
Sequential Network Change Detection with Its Applications to Ad Impact Relation Analysis. ICDM (2012)
Hiroki Kanazawa, Kenji Yamanishi
An MDL-based change-detection algorithm with its applications to learning piecewise stationary memoryless sources. ITW (2012)
Eiichi Sakurai, Kenji Yamanishi
Comparison of dynamic model selection with infinite HMM for statistical model change detection. ITW (2012)
So Hirai, Kenji Yamanishi
Detecting changes of clustering structures using normalized maximum likelihood coding. KDD (2012)
So Hirai, Kenji Yamanishi
Normalized Maximum Likelihood Coding for Exponential Family with Its Applications to Optimal Clustering CoRR (2012)
So Hirai, Kenji Yamanishi
Efficient computation of normalized maximum likelihood coding for Gaussian mixtures with its applications to optimal clustering. ISIT (2011)
Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
Discovering Emerging Topics in Social Streams via Link Anomaly Detection CoRR (2011)
Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi
Discovering Emerging Topics in Social Streams via Link Anomaly Detection. ICDM (2011)
Yasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, Hiroki Iwai
Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding. PAKDD (2) (2011)
Shunsuke Hirose, Kenji Yamanishi
Latent variable mining with its applications to anomalous behavior detection. Stat. Anal. Data Min. 2 (1) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kenji Yamanishi