Anomaly Detection and Factor Estimation by Graph Deep Learning in Storage Batteries

Joji Yoshikawa, Norihiro Takimoto, Naoya Takeishi, Yoshinobu Kawahara, Yohei Funatsu

IEEJ Transactions on Electronics, Information and Systems　Vol. 144　No. 10　p. 997-1004　2024/10　Research paper (scientific journal)

Enhancing Spectral Analysis in Nonlinear Dynamics with Pseudoeigenfunctions from Continuous Spectra

Itsushi Sakata, Yoshinobu Kawahara

Scientific Reports　Vol. 14　2024/08　Research paper (scientific journal)

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

M. Weissenbacher, R. Agarwal, Y. Kawahara

Proceedings of the 41st International Conference on Machine Learning (ICML'24)　Vol. PMLR 235　p. 52695-52719　2024/07　Research paper (scientific journal)

Koopman Spectrum Nonlinear Regulators and Efficient Online Learning

M. Ohnishi, I. Ishikawa, K. Lowrey, M. Ikeda, S.M. Kakade, Y. Kawahara

Transactions on Machine Learning Research　2024/06

Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition

R. Fukuma, K. Majima, Y. Kawahara, O. Yamashita, Y. Shiraishia, H. Kishima, T. Yanagisawa

Communications Biology　Vol. 7　2024/05　Research paper (scientific journal)

MANet: Mixed Attention Network for Visual Explanation

Jingjing Bai, Yoshinobu Kawahara

New Generation Computing　Vol. 42　p. 825-843　2024/05　Research paper (scientific journal)

Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations

K. Fujii, K. Tsutsui, A. Scott, H. Nakahara, N. Takeishi, Y. Kawahara

Proceedings of the 16th Int'l Conf. on Agents and Artificial Intelligence (ICAART'24)　Vol. 2　p. 27-39　2024/03　Research paper (scientific journal)

Decentralized Policy Learning with Partial Observation and Mechanical Constraints for Multi-person Modeling Learning Systems

K. Fujii, N. Takeishi, Y. Kawahara, K. Takeda

Neural Networks　Vol. 171　p. 40-52　2024/03

Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data

H. Endo, S. Ikeda, K. Harada, H. Yamagata, T. Matsubara, K. Matsuo, Y. Kawahara, O. Yamashita

Frontiers in Psychiatry　Vol. 15　2024/01　Research paper (scientific journal)

Dynamic mode decomposition for Koopman spectral analysis of elementary cellular automata

Keisuke Taga, Yuzuru Kato, Yoshihiro Yamazaki, Yoshinobu Kawahara, Hiroya Nakao

Chaos　Vol. 34　No. 1　2024/01　Research paper (scientific journal)

Many-body Approximation for Non-negative Tensors

Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara

Advances in Neural Information Processing Systems 36 (Proc. of NeurIPS'23)　2023/12　Research paper (scientific journal)

Stable Invariant Models with Koopman Spectra

Takuya Konishi, Yoshinobu Kawahara

Neural Networks　Vol. 165　p. 393-405　2023/08　Research paper (scientific journal)

A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores

N. Takeishi, Y. Kawahara

Transactions on Machine Learning Research　2023/07

euMMD: Efficiently Computing the MMD Two-Sample Test Statistic for Univariate Data

D. Bodenham, Y. Kawahara

Statistics and Computing　Vol. 33　2023/07　Research paper (scientific journal)

Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics

Tomoharu Iwata, Yoshinobu Kawahara

Journal of Computational Dynamics　Vol. 10　No. 2　p. 268-280　2023/04　Research paper (scientific journal)

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation

K. Fujii, K. Takeuchi, A. Kuribayashi, N. Takeishi, Y. Kawahara, K. Takeda

Proc. of the 30th ACM SIGPATIAL Int'l Conf. on Advances in Geographic Information Systems (SIGSPATIAL'22)　p. Article No.: 7-4　2022/11　Research paper (international conference proceedings)

Interpretation Support by Extracting Time Series Classification Patterns using HMM from Text-based Deep Learning

Masayuki Ando, Yoshinobu Kawahara, Wataru Sunayama, Yuji Hatanaka

International Journal on Advances in Intelligent Systems　Vol. 15　No. 1-2　p. 24-34　2022/09　Research paper (scientific journal)

Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics

M. Weissenbacher, S. Sinha, A. Garg, Y. Kawahara

Proc. of The 39th Int'l Conf. on Machine Learning (ICML'22)　Vol. PMLR 162　p. 23645-23667　2022/07　Research paper (international conference proceedings)

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections

N. Takeishi, K. Takeuchi, K. Fujii, Y. Kawahara

SIAM Journal on Applied Dynamical Systems　Vol. 21　No. 2　p. 1030-1058　2022/05　Research paper (scientific journal)

Dynamic mode decomposition via convolutional encoders for dynamics modeling in videos

I. Ul Haq, T. Iwata, Y. Kawahara

Computer Vision and Image Understanding　Vol. 216　2022/02　Research paper (scientific journal)

Interpretation Support System for Classification Patterns Using HMM in Deep Learning with Texts

安藤雅行, 河原吉伸, 河原吉伸, 砂山渡, 畑中裕司

知能と情報(CD-ROM)　Vol. 34　No. 17　p. 501-510　2022/02　Research paper (scientific journal)

Predicting behavior through dynamic modes in resting-state fMRI data

S. Ikeda, K. Kawano, S. Watanabe, O. Yamashita, Y. Kawahara

NeuroImage　Vol. 247　p. 118801-118801　2022/02　Research paper (scientific journal)

Reproducing Kernel Hilbert C*-Modules and Kernel Mean Embeddings

Y. Hashimoto, I. Ishikawa, M. Ikeda, F. Komura, T. Katsura, Y. Kawahara

Journal of Machine Learning Research　Vol. 22　No. 267　p. 1-56　2021/12

Learning interaction rules from multi-animal trajectories via augmented behavioral models

K. Fujii, N. Takeishi, K. Tsutsui, E. Fujioka, N. Nishiumi, R. Tanaka, M. Fukushiro, K. Ide, H. Kohno, K. Yoda, S. Takahashi, S. Hiryu, Y. Kawahara

Advances in Neural Information Processing Systems 34 (Proc. of NeurIPS'21)　p. 11108-11122　2021/12　Research paper (international conference proceedings)

Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space

T. Iwata, Y. Kawahara

Proc. of The 60th IEEE Conf. on Decision and Control (CDC'21)　p. 5086-5091　2021/12

Koopman spectral analysis of elementary cellular automata

K. Taga, Y. Kato, Y. Kawahara, Y. Yamazaki, H. Nakao

Chaos: An Interdisciplinary Journal of Nonlinear Science　Vol. 31　No. 1　2021/11

Interpretation Support System for Classification Patterns using HMM in Deep learning with Texts

M. Ando, Y. Kawahara, W. Sunayama, Y. Hatanaka

Proc. of the the 14th Int'l Conf. on Advances in Computer-Human Interactions (ACHI'21)　Vol. 34　No. 1　p. 64-70　2021/07

Verification of failure sign detection in SOFC-based systems

Joji Yoshikawa, Naoya Takeishi, Kaoru Nishiyama, Hisanao Takahashi, Yoshinobu Kawahara, Naoto Kinoshita

IEEJ Transactions on Electronics, Information and Systems　Vol. 141　No. 5　p. 712-719　2021/05　Research paper (scientific journal)

Learning Dynamics Models with Stable Invariant Sets,

N. Takeishi, Y. Kawahara

Proc. of the 35th AAAI Conf. on Artificial Intelligence (AAAI'21)　p. 9782-9790　2021　Research paper (international conference proceedings)

Cognition and interpersonal coordination of patients with schizophrenia who have sports habits

K. Fujii, Y. Yoshihara, Y. Matsumoto, K. Tose, H. Takeuchi, M. Isobe, H. Mizuta, D. Maniwa, T. Okamura, T. Murai, Y. Kawahara, H. Takahashi

PLOS ONE　Vol. 15　No. 11　2020/12　Research paper (scientific journal)

Learning Multiple Nonlinear Dynamical Systems with Side Information

N. Takeishi, Y. Kawahara

Proc. of the 59th IEEE Conf. on Decision and Control (CDC'20)　p. 3206-3211　2020/12　Research paper (international conference proceedings)

Prediction of Compound Bioactivities using Heat Diffusion Equation

T. Hidaka, K. Imamura, T. Hioki, T. Takagi, Y. Giga, M.H. Giga, Y. Nishimura, Y. Kawahara, S. Hayashi, T. Niki, M. Fushimi, H. Inoue

Patterns　Vol. 1　2020/11

Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise

Y. Hashimoto, I. Ishikawa, M. Ikeda, Y. Matsuo, Y. Kawahara

Journal of Machine Learning Research　Vol. 21　No. 172　p. 1-29　2020/09/18　Research paper (scientific journal)

能動的変化点検知

林勝悟, 河原吉伸, 鹿島久嗣

人工知能学会論文誌　Vol. 35　No. 5　2020/09/01

Knowledge-Based Regularization in Generative Modeling

N. Takeishi, Y. Kawahara

Proc. of the 29th Int'l Joint Conf. on Artificial Intelligence and the 17th Pacific Rim Int'l Conf. on Artificial Intelligence (IJCAI-PRICAI'20)　p. 2390-2396　2020/07　Research paper (international conference proceedings)

Dynamic mode decomposition via dictionary learning for foreground modeling in videos

I. Ul Haq, K. Fujii and Y. Kawahara

Comput. Vis. Image Underst.　Vol. 199　2020/06　Research paper (scientific journal)

An efficient branch-and-cut and heuristic algorithms for submodular function maximization

N. Uematsu, S. Umetani, Y. Kawahara

Journal of the Operations Research Society of Japan　Vol. 63　No. 2　p. 41-59　2020/05

Neural decoding of electrocorticographic signals using dynamic mode decomposition.

Y. Shiraishi, Y. Kawahara, O. Yamashita, R. Fukuma, S. Yamamoto, Y. Saitoh, H. Kishima, T. Yanagisawa

Journal of neural engineering　Vol. 17　No. 3　p. 036009-036009　2020/04/14　Research paper (scientific journal)

Dynamic mode decomposition via dictionary learning for foreground modeling in videos

Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara

VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications　Vol. 5　p. 476-483　2020　Research paper (international conference proceedings)

Convolutional autoencoder-based reconstruction of vascular structures in photoacoustic images

Israr UI Haq, Yoshinobu Kawahara

Proc. SPIE 11359, Biomedical Spectroscopy, Microscopy, and Imaging　2020

Physically-interpretable classification of network dynamics in complex collective motions

K. Fujii, N. Takeishi, M. Hojo, Y. Inaba, Y. Kawahara

Scientific Reports　Vol. 10　No. 1　p. 3005-3005　2020　Research paper (scientific journal)

Principal points analysis via p-median problem for binary data

H. Yamashita, Y. Kawahara

Journal of Applied Statistics　Vol. 4　No. 17　p. 1282-1297　2020

Data-driven spectral analysis for coordinative structures in periodic human locomotion.

Keisuke Fujii, Naoya Takeishi, Benio Kibushi, Motoki Kouzaki, Yoshinobu Kawahara

Scientific reports　Vol. 9　No. 1　p. 16755-16755　2019/11/14

Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables.

Keisuke Fujii, Yoshinobu Kawahara

Neural networks : the official journal of the International Neural Network Society　Vol. 117　p. 94-103　2019/09

Active Change-point Detection

S. Hayashi, Y. Kawahara, H. Kashima

Proc. of the 11th Asian Conference on Machine Learning (ACML'19)　Vol. PMLR: 101　p. 1017-1032　2019　Research paper (international conference proceedings)

An efficient branch-and-cut algorithm for approximately submodular function maximization

N. Uematsu, S. Umetani, Y. Kawahara

Proc. of the 2019 IEEE Int'l Conf. on Systems, Man, and Cybernetics (IEEE SMC'19)　p. 3160-3167　2019

Interpretation Support System for Classification Patterns in Deep Learning with Texts

ANDO Masayuki, KAWAHARA Yoshinobu, SUNAYAMA Wataru, HATANAKA Yuji

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics　Vol. 31　No. 4　p. 779-787　2019

Variational inference of penalized regression with submodular functions

K. Takeuchi, Y. Yoshida, Y. Kawahara

Proc. of the 35th Conf. on Uncertainty in Artificial Intelligence (UAI'19)　Vol. PMLR 115　p. 1202-1211　2019　Research paper (international conference proceedings)

Learning with coherence patters in multivariate time-series data via dynamic mode decomposition

T. Bito, M. Hiraoka, Y. Kawahara

Proc. of the 2019 Int'l Joint Conf. on Neural Networks (IJCNN'19)　Vol. paper N-19278　2019

Analysis of factors predicting who obtains a ball in basketball rebounding situations

M. Hojo, K. Fujii, Y. Kawahara

International Journal of Performance Analysis in Sport　Vol. 19　No. 2　p. 192-205　2019

Supervised dynamic mode decomposition via multitask learning

K. Fujii, Y. Kawahara

Pattern Recognition Letters　Vol. 122　p. 7-13　2019

Sparse nonnegative dynamic mode decomposition

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Proceedings - International Conference on Image Processing, ICIP　Vol. 2017-　p. 2682-2686　2018/02/20　Research paper (international conference proceedings)

Metric on nonlinear dynamical systems with Perron-Frobenius operators

I. Ishikawa, K. Fujii, M. Ikeda, Y. Hashimoto, Y. Kawahara

Advances in Neural Information Processing Systems 31 (NIPS 2018)　p. 2858-2868　2018　Research paper (international conference proceedings)

Factorially-switching dynamic mode decomposition for Koopman analysis of time-variant systems

N. Takeishi, T. Yairi, Y. Kawahara

Proc. of the 57th IEEE Conf. on Decision and Control (CDC 2018)　p. 6402-5408　2018　Research paper (international conference proceedings)

Highly biocompatible super-resolution fluorescence imaging using the fast photoswitching fluorescent protein Kohinoor and SPoD-ExPAN with Lp-regularized image reconstruction

T. Wazawa, Y. Arai, Y. Kawahara, H. Takauchi, T. Washio, T. Nagai

Microscopy　Vol. 67　No. 2　p. 89-98　2018

Automatically recognizing strategic cooperative behaviors in various situations of a team sport.

Motokazu Hojo, Keisuke Fujii, Yuki Inaba, Yoichi Motoyasu, Yoshinobu Kawahara

PloS one　Vol. 13　No. 12　2018　Research paper (scientific journal)

Prediction and classification in equation-free collective motion dynamics

K. Fujii, T. Kawasaki, Y. Inaba, Y. Kawahara

PLoS Computational Biology　Vol. 14　No. 11　2018　Research paper (scientific journal)

Subspace dynamic mode decomposition for stochastic Koopman analysis

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

PHYSICAL REVIEW E　Vol. 96　No. 3　2017/09　Research paper (scientific journal)

Representative Selection with Structured Sparsity

Hongxing Wang, Yoshinobu Kawahara, Chaoqun Weng, Junsong Yuan

PATTERN RECOGNITION　Vol. 63　p. 268-278　2017/03　Research paper (scientific journal)

Learning Koopman invariant subspaces for dynamic mode decomposition

N. Takeishi, Y. Kawahara, T. Yairi

Advances in Neural Information Processing Systems 30 (NIPS 2017)　p. 1130-1140　2017　Research paper (international conference proceedings)

Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays

Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)　Vol. 10536　p. 127-139　2017　Research paper (international conference proceedings)

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)　Vol. 10534　p. 582-598　2017　Research paper (international conference proceedings)

Bayesian Dynamic Mode Decomposition.

N. Takeishi, Y. Kawahara, Y. Tabei, T. Yairi

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017)　p. 2814-2821　2017　Research paper (international conference proceedings)

Efficient Generalized Fused Lasso and Its Applications

Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Lingjing Hu, Wen Gao

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY　Vol. 7　No. 4　2016/07　Research paper (scientific journal)

Toxicogenomic prediction with graph-based structured regularization on transcription factor network

Nagata Keisuke, Kawahara Yoshinobu, Washio Takashi, Unami Akira

Fundamental Toxicological Sciences　Vol. 3　No. 2　p. 39-46　2016

Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis.

Yoshinobu Kawahara

Advances in Neural Information Processing Systems 29 (NIPS 2016)　p. 911-919　2016

A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis

Marina Demeshko, Takashi Washio, Yoshinobu Kawahara, Yuriy Pepyolyshev

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY　Vol. 7　No. 2　2016/01　Research paper (scientific journal)

A fault detection technique for the steel manufacturing process based on a normal pattern library

Takehide Hirata, Yoshinobu Kawahara, Masashi Sugiyama, Kazuya Asano

IFAC-PapersOnLine　Vol. 28　No. 21　p. 871-876　2015/09/01　Research paper (international conference proceedings)

Scatterplot layout for high-dimensional data visualization

Yunzhu Zheng, Haruka Suematsu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara

JOURNAL OF VISUALIZATION　Vol. 18　No. 1　p. 111-119　2015/02　Research paper (scientific journal)

Toxicogenomic prediction with group sparse regularization based on transcription factor network information

Nagata Keisuke, Kawahara Yoshinobu, Washio Takashi, Unami Akira

Fundamental Toxicological Sciences　Vol. 2　No. 4　p. 161-170　2015

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT I　Vol. 9284　p. 577-593　2015　Research paper (international conference proceedings)

Skill Grouping Method: Mining and Clustering Skill Differences from Body Movement BigData

Shinichi Yamagiwa, Yoshinobu Kawahara, Noriyuki Tabuchi, Yoshinobu Watanabe, Takeshi Naruo

PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA　p. 2525-2534　2015　Research paper (international conference proceedings)

On Approximate Non-submodular Minimization via Tree-Structured Supermodularity.

Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015　2015

Toxicity prediction from toxicogenomic data based on class association rule mining

Keisuke Nagata, Takashi Washio, Yoshinobu Kawahara, Akira Unami

Toxicology Reports　Vol. 1　p. 1133-1142　2014/12/01　Research paper (scientific journal)

Multi-task feature selection on multiple networks via maximum flows

Mahito Sugiyama, Chloé-Agathe Azencott, Dominik Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt

SIAM International Conference on Data Mining 2014, SDM 2014　Vol. 1　p. 199-207　2014　Research paper (international conference proceedings)

Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease.

Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Wen Ga

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada.　p. 2163-2169　2014

Active learning for noisy oracle via density power divergence

Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio

NEURAL NETWORKS　Vol. 46　p. 133-143　2013/10　Research paper (scientific journal)

Efficient network-guided multi-locus association mapping with graph cuts

Chloe-Agathe Azencott, Dominik Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt

BIOINFORMATICS　Vol. 29　No. 13　p. 171-179　2013/07　Research paper (scientific journal)

Density Power Divergence を用いたロバスト能動 回帰学習

十河康弘, 植野剛, 河原吉伸, 鷲尾隆

人工知能学会論文誌　Vol. 28　No. 1　p. 13-21　2013/01

Structured Convex Optimization under Submodular Constraints.

Kiyohito Nagano, Yoshinobu Kawahara

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013　2013

Arrangement of low-dimensional parallel coordinate plots for high-dimensional data visualization

Haruka Suematsu, Zheng Yunzhu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara

Proceedings of the International Conference on Information Visualisation　p. 59-65　2013　Research paper (international conference proceedings)

A novel structural AR modeling approach for a continuous time linear Markov system

Marina Demeshko, Takashi Washio, Yoshinobu Kawahara

Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013　p. 104-113　2013　Research paper (international conference proceedings)

Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios

Akiko Takeda, Mahesan Niranjan, Jun-ya Gotoh, Yoshinobu Kawahara

Computational Management Science　Vol. 10　No. 1　p. 21-49　2013　Research paper (scientific journal)

Separation of stationary and non-stationary sources with a generalized eigenvalue problem

Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Buenau, Terumasa Tokunaga, Kiyohumi Yumoto

NEURAL NETWORKS　Vol. 33　p. 7-20　2012/09　Research paper (scientific journal)

Sequential change-point detection based on direct density-ratio estimation

Yoshinobu Kawahara, Masashi Sugiyama

Statistical Analysis and Data Mining　Vol. 5　No. 2　p. 114-127　2012/04　Research paper (scientific journal)

Weighted Likelihood Policy Search with Model Selection.

Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara

Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.　p. 2366-2374　2012　Research paper (international conference proceedings)

Robust Active Learning for Linear Regression via Density Power Divergence

Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio

NEURAL INFORMATION PROCESSING, ICONIP 2012, PT III　Vol. 7665　p. 594-602　2012　Research paper (international conference proceedings)

局所線形モデルのアラインメントによる非線形動的シ ステムの学習法

上甲昌郎, 河原吉伸, 矢入健久

人工知能学会論文誌　Vol. 25　No. 6　p. 638-648　2011/09

Analyzing relationships among ARMA processes based on non-Gaussianity of external influences

Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio

NEUROCOMPUTING　Vol. 74　No. 12-13　p. 2212-2221　2011/06　Research paper (scientific journal)

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model

Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

JOURNAL OF MACHINE LEARNING RESEARCH　Vol. 12　p. 1225-1248　2011/04　Research paper (scientific journal)

Spacecraft Telemetry Monitoring Method Based on Dimensionality Reduction and Clustering

YAIRI Takehisa, INUI Minoru, KAWAHARA Yoshinobu, TAKATA Noboru

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES　Vol. 56　No. 691　p. 197-205　2011/02

Discovering causal structures in binary exclusive-or skew acyclic models.

Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara

UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011　p. 373-382　2011

Prismatic Algorithm for Discrete D.C. Programming Problem.

Yoshinobu Kawahara, Takashi Washio

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain.　Vol. 24　p. 2106-2114　2011

Size-constrained Submodular Minimization through Minimum Norm Base.

Kiyohito Nagano, Yoshinobu Kawahara, Kazuyuki Aihara

Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011　p. 977-984　2011

Submodular fractional programming for balanced clustering

Yoshinobu Kawahara, Kiyohito Nagano, Yoshio Okamoto

PATTERN RECOGNITION LETTERS　Vol. 32　No. 2　p. 235-243　2011/01　Research paper (scientific journal)

Minimum Average Cost Clustering.

Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata

Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada.　Vol. 23　p. 1759-1767　2010

An experimental comparison of linear non-Gaussian causal discovery methods and their variants

Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio

2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010　p. 1-8　2010　Research paper (international conference proceedings)

Learning non-linear dynamical systems by alignment of local linear models

Masao Joko, Yoshinobu Kawahara, Takehisa Yairi

Proceedings - International Conference on Pattern Recognition　p. 1084-1087　2010　Research paper (international conference proceedings)

Stationary Subspace Analysis as a Generalized Eigenvalue Problem

Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Buenau

NEURAL INFORMATION PROCESSING: THEORY AND ALGORITHMS, PT I　Vol. 6443　p. 422-+　2010　Research paper (international conference proceedings)

Adaptive Limit Checking for Spacecraft Telemetry Data Using Kernel Principal Component Analysis

Minoru INUI, Yoshinobu KAWAHARA, Kohei GOTO, Takehisa YAIRI, Kazuo MACHIDA

TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, SPACE TECHNOLOGY JAPAN　Vol. 7　No. ists26　p. Pf_11-Pf_16　2009/01　Research paper (scientific journal)

A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model.

Shohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara

UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009　p. 506-513　2009

Change-point detection in time-series data by direct density-ratio estimation

Yoshinobu Kawahara, Masashi Sugiyama

Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics　Vol. 1　p. 385-396　2009　Research paper (international conference proceedings)

Submodularity Cuts and Applications.

Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes

Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada.　Vol. 22　p. 916-924　2009

Change-Point Detection Algorithms based on Subspace Methods

Yoshinobu KAWAHARA, Takehisa YAIRI, Kazuo MACHIDA

Transactions of the Japanese Society for Artificial Intelligence　Vol. 23　No. 2　p. 76-85　2008/08　Research paper (scientific journal)

Anomaly Detection for Spacecraft by Estimating Parameters with Particle Filter

Goto Kohei, Kawahara Yoshinobu, Yairi Takehisa, Machida Kazuo

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES　Vol. 55　No. 642　p. 355-358　2007/08　Research paper (scientific journal)

Spacecraft Fault Diagnosis by Combined Parameter and Mode Online Estimation with Sequential Monte Carlo Methods

Kawahara Yoshinobu, Goto Kohei, Yairi Takehisa, Machida Kazuo

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES　Vol. 55　No. 642　p. 344-354　2007/07　Research paper (scientific journal)

Change-point detection in time-series data based on subspace identification

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING　p. 559-564　2007　Research paper (international conference proceedings)

Spacecraft Diagnosis Method Using Dynamic Bayesian Networks

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

Transactions of the Japanese Society for Artificial Intelligence　Vol. 21　No. 1　p. 45-54　2006/01　Research paper (scientific journal)

Telemetry-mining: A machine learning approach to anomaly detection and fault diagnosis for space systems

Takehisa Yairi, Yoshinobu Kawahara, Ryohei Fujimaki, Yuichi Sato, Kazuo Machida

SMC-IT 2006: 2ND IEEE INTERNATIONAL CONFERENCE ON SPACE MISSION CHALLENGES FOR INFORMATION TECHNOLOGY, PROCEEDINGS　p. 466-+　2006　Research paper (international conference proceedings)

Autonomous recognition of multiple cable topology with image

Rei Fujiki, Hideyuki Tanaka, Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13　p. 5787-+　2006　Research paper (international conference proceedings)

Visualization of spacecraft data based on interdependency between changing points in time series

Yuichi Sato, Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13　p. 1571-+　2006　Research paper (international conference proceedings)

A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems.

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006　Vol. 19　p. 665-672　2006

Fault diagnosis for spacecraft using probabilistic reasoning and statistical learning with dynamic bayesian networks

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

International Astronautical Federation - 56th International Astronautical Congress 2005　Vol. 9　p. 5823-5830　2005　Research paper (international conference proceedings)

Diagnosis method for spacecraft using dynamic bayesian networks

Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida

European Space Agency, (Special Publication) ESA SP　No. 603　p. 649-656　2005　Research paper (scientific journal)

Fuel-Optimal Continuous-Thrust Guidance Algorithms for a Large Number of Formation Flying Spacecraft

KAWAHARA Yoshinobu, TSUDA Yuichi, NAKASUKA Shinichi

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES　Vol. 52　No. 601　p. 72-79　2004/04　Research paper (scientific journal)

Design of Cellular Satellites for Reconfigurable Space System Using Orbital Servicing Robots(Hyper Performance Robotics and Mechatronics,Session: TA1-B)

TANAKA Hideyuki, KAWAHARA Yoshinobu, YAIRI Takehisa, MACHIDA Kazuo

The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM　Vol. 2004　p. 41-41　2004