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List of Papers
Jun'ichi Takeuchi Last modified date：2024.04.19

Professor / Mathematical Informatics / Department of Informatics / Faculty of Information Science and Electrical Engineering


Papers
1. K. Miyamoto, M. Iida, C. Han, T. Ban, T. Takahashi J. Takeuchi, Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach, IEEE Access, 10.1109/ACCESS.2023.3335600., 11, 132792-132810, 2023.11.
2. Tania SULTANA, Sho KUROSAKI, Yutaka JITSUMATSU, Shigehide KUHARA, Jun'ichi TAKEUCHI, Brain Tumor Classification using Under-Sampled k-Space Data: A Deep Learning Approach, IEICE TRANSACTIONS on Information and Systems, 10.1587/transinf.2022EDP7198, Vol.E106-D, No.11, 183-1841, 2023.11.
3. Yoshinari Takeishi, Masazumi Iida, Junichi Takeuchi, Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks, Neural Networks, 164, 691-706, 2023.07.
4. T. He, C. Han, R. Isawa, T. Takahashi, S. Kijima, J. Takeuchi, Scalable and Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering, IEEE Access, 11, 8240-8253, 2023.01.
5. R. Ishibashi, K. Miyamoto, C. Han, T. Ban, T. Takahashi, J. Takeuchi, Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems, IEEE Access, 10.1109/ACCESS.2022.3176098, 10, 2169-3536, 2022.05.
6. C. Han, J. Takeuchi, T. Takahashi, D. Inoue, Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns, IEEE Access, 10.1109/ACCESS.2022.3145966, 10, 13038-13058, 2022.01.
7. B. Sun, T. Ban, C. Han, T. Takahashi, K. Yoshioka, J. Takeuchi, A. Sarrafzadeh, M. Qiu, D. Inoue, Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks, IEEE Access, 10.1109/ACCESS.2021.3082000, 9, 87962-87971, 2021.05.
8. Chansu HAN, Jumpei SHIMAMURA, Takeshi TAKAHASHI, Daisuke INOUE, Jun'ichi TAKEUCHI, Koji NAKAO, Real-time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso, IEICE Transactions, Vol.E103-D, No.10, 2020.10.
9. Masanori Kawakita, Jun'ichi Takeuchi, Minimum Description Length Principle in Supervised Learning With Application to Lasso, IEEE Transactions on Information Theory, 10.1109/TIT.2020.2998577, 66, 7, 4245-4269 , 2020.07, [URL].
10. Yoshinari Takeishi, Jun'ichi Takeuchi, An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary, Japanese Journal of Statistics and Data Science, Vol. 2, Issue 2, 2019.12.
11. Norikazu Takahashi, Jiro Katayama, Masato Seki, Jun'ichi Takeuchi, A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization, Computational Optimization and Applications, https://doi.org/10.1007/s10589-018-9997-y, 2018.03.
12. Masanori Kawakita, Jun'ichi Takeuchi, A Note on Model Selection for Small Sample Regression, Machine Learning, 106, 11, 1839-1862, 2017.11.
13. Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi, Least Squares Superposition Codes with Bernoulli Dictionary are Still Reliable at Rates up to Capacity, IEEE Transactions on Information Theory, 60, 5, 2737-2750, 2014.05.
14. Masanori Kawakita, Jun'ichi Takeuchi, Safe Semi-supervised Learning Based on Weighted Likelihood, Neural Networks, 53, 146-164, 2014.05.
15. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi, Behavior-Based Method for Detecting Distributed Scan Attacks in Darknets, Journal of Information Processing, 21, 3, 527-538, 2013.06.
16. Jun'ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron, Properties of Jeffreys mixture of Markov Sources, IEEE transactions on Information Theory, 59, 1, 438-457, 2013.01.
17. Jun'ichi Takeuchi, Stochastic complexity, channel capacity, and universal portfolio, Journal of Math-for-Industry, vol. 2, 2010, pp. 213-225, 2010, vol. 2, 2010, pp. 213-225, 2010, 2010.10.
18. H. Matsuzoe, J. Takeuchi & S. Amari, Equiaffine structures on statistical manifolds and Bayesian statistics, Differential Geometry and Its Applications, 24, 6, 567-578, 2006.11.
19. J. Takeuchi & K. Yamanishi, A Unifying Framework for Detecting Outliers and Change Points from Non-Stationary Time Series Data, IEEE transactions on Knowledge and Data Engineering, Vol. 18, No. 4, pp.482-489, 2006.04.
20. J. Takeuchi & S. Amari, α-Parallel Prior and Its Properties, IEEE transactions on Information Theory, Vol. 51, No. 3, pp. 1011-1023, 2005.03.
21. K. Yamanishi, J. Takeuchi, G. Williamas, & P. Milne, On-line Unsupervised Oultlier Detection Using Finite Mixtures with Discounting Learning Algorithms, Data Mining and Knowleged Discovery Journal, 8 (3): 275-300, 2004.05.
22. N. Abe, J. Takeuchi, & M. Warmuth, Polynomial Learnability of Stochastic Rules with respect to the KL-divergence and Quadratic Distance, IEICE transactions (D), 2001.03.
23. J. Takeuchi, N. Abe, & S. Amari, The Lob-Pass problem, Journal of Computer and System Sciences, 2000.03.
24. J. Takeuchi, Characterization of the Bayes estimator and the MDL estimator for exponential families, IEEE transactions on Information Theory, Vol. 43, No. 4, pp. 1165-1174, 1997, 1997.01.
25. J. Takeuchi, Improved sample complexity bounds for parameter estimation, IEICE transactions (D), Vol. E78D, No. 5, pp. 526-531, 1995, 1995.01.


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