Takashi Washio

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 29

Top Venues

Publications

Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu
Isolation Kernel Estimators. Knowl. Inf. Syst. 65 (2) (2023)
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu
Breaking the curse of dimensionality with Isolation Kernel. CoRR (2021)
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Isolation kernel: the X factor in efficient and effective large scale online kernel learning. Data Min. Knowl. Discov. 35 (6) (2021)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang
Isolation Kernel Density Estimation. ICDM (2021)
Takeshi Yoshida, Takashi Washio, Takahito Ohshiro, Masateru Taniguchi
Classification from positive and unlabeled data based on likelihood invariance for measurement. Intell. Data Anal. 25 (1) (2021)
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection. KDD (2020)
Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection. CoRR (2020)
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
A comparative study of data-dependent approaches without learning in measuring similarities of data objects. Data Min. Knowl. Discov. 34 (1) (2020)
Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Mach. Learn. 108 (2) (2019)
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning. CoRR (2019)
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
Analysis of cause-effect inference by comparing regression errors. PeerJ Comput. Sci. 5 (2019)
Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. ACML (2019)
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
A new simple and effective measure for bag-of-word inter-document similarity measurement. CoRR (2019)
Atsushi Shunori, Rui Yatabe, Bartosz Wyszynski, Yosuke Hanai, Atsuo Nakao, Masaya Nakatani, Akio Oki, Hiroaki Oka, Takashi Washio, Kiyoshi Toko
Multichannel Odor Sensor System using Chemosensitive Resistors and Machine Learning. ISOEN (2019)
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
Analysis of Cause-Effect Inference via Regression Errors. CoRR (2018)
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
Cause-Effect Inference by Comparing Regression Errors. AISTATS (2018)
Kai Ming Ting, Sunil Aryal, Takashi Washio
Which Outlier Detector Should I use? ICDM (2018)
Keiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki
A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis. SDM (2018)
Kai Ming Ting, Takashi Washio, Ata Kabán
Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13). NII Shonan Meet. Rep. 2018 (2018)
Yuka Yoneda, Mahito Sugiyama, Takashi Washio
Learning Graph Representation via Formal Concept Analysis. CoRR (2018)
Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu
Local contrast as an effective means to robust clustering against varying densities. Mach. Learn. 107 (8-10) (2018)
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures. Knowl. Inf. Syst. 53 (2) (2017)
Patrick Blöbaum, Shohei Shimizu, Takashi Washio
A novel principle for causal inference in data with small error variance. ESANN (2017)
Takashi Washio, Gaku Imamura, Genki Yoshikawa
Machine Learning Independent of Population Distributions for Measurement. DSAA (2017)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors. Mach. Learn. 106 (1) (2017)
Patrick Blöbaum, Takashi Washio, Shohei Shimizu
Error Asymmetry in Causal and Anticausal Regression. CoRR (2016)
James Bailey, Latifur Khan, Takashi Washio
Data science in Asia (for PAKDD 2016). Int. J. Data Sci. Anal. 2 (3-4) (2016)
Marina Demeshko, Takashi Washio, Yoshinobu Kawahara, Yuriy Pepyolyshev
A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis. ACM Trans. Intell. Syst. Technol. 7 (2) (2016)
Kazuhiro Yasunami, Takashi Washio
An accuracy evaluation of PV power output estimation method using covariance between solar radiation intensity and power flow. ISGT Asia (2015)
Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Half-space mass: a maximally robust and efficient data depth method. Mach. Learn. 100 (2-3) (2015)
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure. AIRS (2015)
Patrick Blöbaum, Shohei Shimizu, Takashi Washio
Discriminative and Generative Models in Causal and Anticausal Settings. AMBN@JSAI-isAI (2015)
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio
ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders. Neural Comput. 26 (1) (2014)
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM. CoRR (2014)
Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Improving iForest with Relative Mass. PAKDD (2) (2014)
Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. ICDM (2014)
Jonathan R. Wells, Kai Ming Ting, Takashi Washio
LiNearN: A new approach to nearest neighbour density estimator. Pattern Recognit. 47 (8) (2014)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal
DEMass: a new density estimator for big data. Knowl. Inf. Syst. 35 (3) (2013)
Marina Demeshko, Takashi Washio, Yoshinobu Kawahara
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System. ICDM Workshops (2013)
Satoshi Hara, Takashi Washio
Learning a common substructure of multiple graphical Gaussian models. Neural Networks 38 (2013)
Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
Active learning for noisy oracle via density power divergence. Neural Networks 46 (2013)
Christiane Kamdem Kengne, Léon Constantin Fopa, Alexandre Termier, Noha Ibrahim, Marie-Christine Rousset, Takashi Washio, Miguel Santana
Efficiently rewriting large multimedia application execution traces with few event sequences. KDD (2013)
Kento Kadowaki, Shohei Shimizu, Takashi Washio
Estimation of causal structures in longitudinal data using non-Gaussianity. MLSP (2013)
Akihiro Inokuchi, Ayumu Yamaoka, Takashi Washio, Yuji Matsumoto, Masayuki Asahara, Masakazu Iwatate, Hideto Kazawa
Mining Rules for Rewriting States in a Transition-Based Dependency Parser. PRICAI (2012)
Christiane Kamdem Kengne, Léon Constantin Fopa, Noha Ibrahim, Alexandre Termier, Marie-Christine Rousset, Takashi Washio
Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner. ICDM Workshops (2012)
Akihiro Inokuchi, Takashi Washio
FRISSMiner: Mining Frequent Graph Sequence Patterns Induced by Vertices. IEICE Trans. Inf. Syst. (6) (2012)
Satoshi Hara, Takashi Washio
Anomalous Neighborhood Selection. ICDM Workshops (2012)
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio
Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders. ICANN (1) (2012)
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
Weighted Likelihood Policy Search with Model Selection. NIPS (2012)
Akihiro Inokuchi, Hiroaki Ikuta, Takashi Washio
Efficient Graph Sequence Mining Using Reverse Search. IEICE Trans. Inf. Syst. (7) (2012)
Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
Robust Active Learning for Linear Regression via Density Power Divergence. ICONIP (3) (2012)
Hiroshi Kuwajima, Takashi Washio, Ee-Peng Lim
Fast and Accurate PSD Matrix Estimation by Row Reduction. IEICE Trans. Inf. Syst. (11) (2012)
Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto
Separation of stationary and non-stationary sources with a generalized eigenvalue problem. Neural Networks 33 (2012)
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
Discovering causal structures in binary exclusive-or skew acyclic models CoRR (2012)
Kittitat Thamvitayakul, Shohei Shimizu, Tsuyoshi Ueno, Takashi Washio, Tatsuya Tashiro
Bootstrap Confidence Intervals in DirectLiNGAM. ICDM Workshops (2012)
Satoshi Hara, Takashi Washio
Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method. ICONIP (3) (2012)
Chris Clifton, Takashi Washio
Special issue on the best papers of SDM'11. Stat. Anal. Data Min. 5 (1) (2012)
Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences. Neurocomputing 74 (12-13) (2011)
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. J. Mach. Learn. Res. 12 (2011)
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
Discovering causal structures in binary exclusive-or skew acyclic models. UAI (2011)
Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto
Estimating exogenous variables in data with more variables than observations. Neural Networks 24 (8) (2011)
Satoshi Hara, Takashi Washio
Common Substructure Learning of Multiple Graphical Gaussian Models. ECML/PKDD (2) (2011)
Shinya Miyazaki, Takashi Washio, Katsutoshi Yada
Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID. ICDM Workshops (2011)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu
Density Estimation Based on Mass. ICDM (2011)
Akihiro Inokuchi, Hiroaki Ikuta, Takashi Washio
GTRACE-RS: Efficient Graph Sequence Mining using Reverse Search CoRR (2011)
Yoshinobu Kawahara, Takashi Washio
Prismatic Algorithm for Discrete D.C. Programming Problems CoRR (2011)
Yoshinobu Kawahara, Takashi Washio
Prismatic Algorithm for Discrete D.C. Programming Problem. NIPS (2011)
Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto
Discovery of Exogenous Variables in Data with More Variables Than Observations. ICANN (1) (2010)
Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu, Takashi Washio
GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables CoRR (2010)
Takanori Inazumi, Shohei Shimizu, Takashi Washio
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models. LVA/ICA (2010)
Takashi Washio, Einoshin Suzuki, Kai Ming Ting
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). Knowl. Inf. Syst. 25 (2) (2010)
Akihiro Inokuchi, Takashi Washio
GTRACE2: Improving Performance Using Labeled Union Graphs. PAKDD (2) (2010)
Akihiro Inokuchi, Takashi Washio
Mining Frequent Graph Sequence Patterns Induced by Vertices. SDM (2010)
Katsutoshi Yada, Takashi Washio, Yasuharu Ukai
Modelling deposit outflow in financial crises: application to branch management and customer relationship management. Int. J. Adv. Intell. Paradigms 2 (2/3) (2010)
Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio
An experimental comparison of linear non-Gaussian causal discovery methods and their variants. IJCNN (2010)
Akihiro Inokuchi, Takashi Washio
GTRACE: Mining Frequent Subsequences from Graph Sequences. IEICE Trans. Inf. Syst. (10) (2010)
Kohei Ichikawa, Katsutoshi Yada, Takashi Washio
Development of Data Mining Platform MUSASHI Towards Service Computing. GrC (2010)
Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau
Stationary Subspace Analysis as a Generalized Eigenvalue Problem. ICONIP (1) (2010)
Viet Phuong Nguyen, Takashi Washio, Tomoyuki Higuchi
A new particle filter for high-dimensional state-space models based on intensive and extensive proposal distribution. Int. J. Knowl. Eng. Soft Data Paradigms 2 (4) (2010)
Nguyen Duy Vinh, Akihiro Inokuchi, Takashi Washio
Graph Classification Based on Optimizing Graph Spectra. Discovery Science (2010)
Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka
Modeling Bank Runs in Financial Crises. Rev. Socionetwork Strateg. 3 (1) (2009)
Kohei Ichikawa, Katsutoshi Yada, Namiko Nakachi, Takashi Washio
Optimization of Budget Allocation for TV Advertising. KES (2) (2009)
Takashi Washio
Special Issue on Data-Mining and Statistical Science. New Gener. Comput. 27 (4) (2009)
Akihiro Inokuchi, Takashi Washio
A Fast Method to Mine Frequent Subsequences from Graph Sequence Data. ICDM (2008)
Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio
Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. PKAW (2008)
Viet Phuong Nguyen, Takashi Washio
Modeling dynamic substate chains among massive states. Intell. Data Anal. 12 (3) (2008)
Kentarou Kido, Hiroshi Kuwajima, Takashi Washio
A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation. SDM (2008)
Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka
A Bank Run Model in Financial Crises. KES (2) (2008)
Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm. IEEE Trans. Knowl. Data Eng. 20 (3) (2008)
Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
A Classification Method Based on Subspace Clustering and Association Rules. New Gener. Comput. 25 (3) (2007)
Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG (2007)
Takashi Washio, Shusaku Tsumoto
International Workshop on Risk Informatics (RI2007). JSAI (2007)
Kun Zhao, Yingjie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. ICDM Workshops (2007)
Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou
Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD (2007)
Fuminori Adachi, Takashi Washio, Hiroshi Motoda
Scientific Discovery of Dynamic Models Based on Scale-type Constraints. Inf. Media Technol. 2 (1) (2007)
Takashi Washio
Applications eligible for data mining. Adv. Eng. Informatics 21 (3) (2007)
Kenta Fukata, Takashi Washio, Hiroshi Motoda
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. ICDM Workshops (2006)
Viet Phuong Nguyen, Takashi Washio
Modeling Dynamic Substate Chains among Massive States for Prediction. ICDM Workshops (2006)
Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. PAKDD (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Takashi Washio