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ORCIDJun'ichi Takeuchi
Person information
- affiliation: Kyushu University, Fukuoka, Graduate School of Information Science and Electrical Engineering
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2020 – today
- 2024
[c48]Yoshinari Takeishi, Jun'ichi Takeuchi:
Risk Bound on MDL Estimator for Simple ReLU Networks. ISIT 2024: 256-261- [i6]Jun'ichi Takeuchi, Andrew R. Barron:
Asymptotically Minimax Regret by Bayes Mixtures. CoRR abs/2406.17929 (2024) - [i5]Yoshinari Takeishi, Jun'ichi Takeuchi:
Risk Bounds on MDL Estimators for Linear Regression Models with Application to Simple ReLU Neural Networks. CoRR abs/2407.03854 (2024) - 2023
- [j23]Tianxiang He
, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi:
Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering. IEEE Access 11: 8240-8253 (2023) - [j22]Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. IEEE Access 11: 132792-132810 (2023) - [j21]Koji Nakao, Katsunari Yoshioka, Takayuki Sasaki, Rui Tanabe, Xuping Huang, Takeshi Takahashi, Akira Fujita, Jun'ichi Takeuchi, Noboru Murata, Junji Shikata, Kazuki Iwamoto, Kazuki Takada, Yuki Ishida, Masaru Takeuchi, Naoto Yanai:
Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware. IEICE Trans. Inf. Syst. 106(9): 1302-1315 (2023) - [j20]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 Trans. Inf. Syst. 106(11): 1831-1841 (2023) - [j19]Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi:
Approximate spectral decomposition of Fisher information matrix for simple ReLU networks. Neural Networks 164: 691-706 (2023) - [c47]Shota Kawanaka, Yoshikatsu Kashiwabara, Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. AsiaJCIS 2023: 88-94 - [c46]Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi:
Work in Progress: New Seed Set Selection Method of the Scalable Method for Constructing Phylogenetic Trees. CF 2023: 364-365 - [c45]Kei Oshio, Satoshi Takada, Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi:
Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering. COMPSAC 2023: 1552-1557 - [c44]Chansu Han, Akira Tanaka, Jun'ichi Takeuchi, Takeshi Takahashi, Tomohiro Morikawa, Tsung-Nan Lin:
Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis. ICISSP 2023: 617-625 - [i4]Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi:
Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families. CoRR abs/2311.03852 (2023) - 2022
- [j18]Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue:
Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns. IEEE Access 10: 13038-13058 (2022) - [j17]Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. IEEE Access 10: 53972-53986 (2022) - [c43]Kei Oshio, Satoshi Takada, Chansu Han, Akira Tanaka, Jun'ichi Takeuchi:
Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique. ISCC 2022: 1-3 - [c42]Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi:
On Fisher Information Matrix for Simple Neural Networks with Softplus Activation. ISIT 2022: 3001-3006 - [c41]Kohei Miyamoto, Hiroki Goto, Ryosuke Ishibashi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Malicious Packet Classification Based on Neural Network Using Kitsune Features. ISPR 2022: 306-314 - 2021
- [j16]Bo Sun, Tao Ban, Chansu Han, Takeshi Takahashi, Katsunari Yoshioka, Jun'ichi Takeuchi, Abdolhossein Sarrafzadeh, Meikang Qiu, Daisuke Inoue:
Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks. IEEE Access 9: 87962-87971 (2021) - [c40]Ryosuke Ishibashi, Hiroki Goto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions. AsiaJCIS 2021: 9-16 - [c39]Tianxiang He, Chansu Han, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi:
Scalable and Fast Hierarchical Clustering of IoT Malware Using Active Data Selection. FMEC 2021: 1-6 - [c38]Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi:
Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? PerCom Workshops 2021: 376-379 - [c37]Reo Kawasoe, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Jun'ichi Takeuchi:
Investigating behavioral differences between IoT malware via function call sequence graphs. SAC 2021: 1674-1682 - [c36]Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue:
Automated Detection of Malware Activities Using Nonnegative Matrix Factorization. TrustCom 2021: 548-556 - [i3]Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi:
Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks. CoRR abs/2111.15256 (2021) - 2020
- [j15]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 Trans. Inf. Syst. 103-D(10): 2113-2124 (2020) - [j14]Masanori Kawakita, Jun'ichi Takeuchi:
Minimum Description Length Principle in Supervised Learning With Application to Lasso. IEEE Trans. Inf. Theory 66(7): 4245-4269 (2020) - [c35]Kohei Miyamoto, Jun'ichi Takeuchi:
On MDL Estimation for Simple Contaminated Gaussian Location Families. ISITA 2020: 587-591
2010 – 2019
- 2019
- [c34]Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi, Koji Nakao:
A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. ICONIP (1) 2019: 766-778 - [c33]Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi:
Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. ISIT 2019: 1442-1446 - [c32]Kazushi Mimura, Jun'ichi Takeuchi:
Dynamics of Damped Approximate Message Passing Algorithms. ITW 2019: 1-5 - [c31]Chansu Han, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Masanori Kawakita, Jun'ichi Takeuchi, Koji Nakao:
Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso. TrustCom/BigDataSE 2019: 144-151 - 2018
- [j13]Norikazu Takahashi, Jiro Katayama, Masato Seki, Jun'ichi Takeuchi:
A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization. Comput. Optim. Appl. 71(1): 221-250 (2018) - [c30]Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi:
Asymptotic Behavior of Typical Sets and the Smallest High Probability Set. ISITA 2018: 717-721 - [i2]Yoshinari Takeishi, Jun'ichi Takeuchi:
An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary. CoRR abs/1801.02930 (2018) - 2017
- [j12]Masanori Kawakita, Jun'ichi Takeuchi:
A note on model selection for small sample regression. Mach. Learn. 106(11): 1839-1862 (2017) - [c29]Jun'ichi Takeuchi, Hiroshi Nagaoka:
Information geometry of the family of Markov kernels defined by a context tree. ITW 2017: 429-433 - 2016
- [c28]Masanori Kawakita, Jun'ichi Takeuchi:
Barron and Cover's Theory in Supervised Learning and its Application to Lasso. ICML 2016: 1958-1966 - [c27]Chansu Han, Kento Kono, Shoma Tanaka, Masanori Kawakita, Jun'ichi Takeuchi:
Botnet Detection Using Graphical Lasso with Graph Density. ICONIP (1) 2016: 537-545 - [c26]Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi:
MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) 2016: 570-578 - [c25]Yoshinari Takeishi, Jun'ichi Takeuchi:
An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary. ISIT 2016: 1168-1172 - [i1]Masanori Kawakita, Jun'ichi Takeuchi:
Minimum Description Length Principle in Supervised Learning with Application to Lasso. CoRR abs/1607.02914 (2016) - 2014
- [j11]Masanori Kawakita, Jun'ichi Takeuchi:
Safe semi-supervised learning based on weighted likelihood. Neural Networks 53: 146-164 (2014) - [j10]Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi:
Least Squares Superposition Codes With Bernoulli Dictionary are Still Reliable at Rates up to Capacity. IEEE Trans. Inf. Theory 60(5): 2737-2750 (2014) - [c24]Jun'ichi Takeuchi, Andrew R. Barron:
Asymptotically minimax regret for models with hidden variables. ISIT 2014: 3037-3041 - [c23]Jun'ichi Takeuchi, Andrew R. Barron:
Stochastic Complexity for tree models. ITW 2014: 222-226 - 2013
- [j9]Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi:
A Behavior-based Method for Detecting Distributed Scan Attacks in Darknets. Inf. Media Technol. 8(3): 843-854 (2013) - [j8]Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi:
A Behavior-based Method for Detecting Distributed Scan Attacks in Darknets. J. Inf. Process. 21(3): 527-538 (2013) - [j7]Jun'ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron:
Properties of Jeffreys Mixture for Markov Sources. IEEE Trans. Inf. Theory 59(1): 438-457 (2013) - [c22]Jiro Katayama, Norikazu Takahashi, Jun'ichi Takeuchi:
Boundedness of modified multiplicative updates for nonnegative matrix factorization. CAMSAP 2013: 252-255 - [c21]Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi:
Least squares superposition codes with Bernoulli dictionary are still reliable at rates up to capacity. ISIT 2013: 1396-1400 - [c20]Jun'ichi Takeuchi, Andrew R. Barron:
Asymptotically minimax regret by Bayes mixtures for non-exponential families. ITW 2013: 1-5 - 2012
- [c19]Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi, Jun'ichi Takeuchi:
Information Theoretic Limit of Single-Frame Super-Resolution. EST 2012: 82-85 - [c18]Sayaka Yamauchi, Masanori Kawakita, Jun'ichi Takeuchi:
Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle. ICONIP (5) 2012: 400-409 - [c17]Mariko Tsurusaki, Jun'ichi Takeuchi:
Constant Markov Portfolio and its application to universal portfolio with side information. ISIT 2012: 1623-1627 - [c16]Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi:
A Behavior-Based Detection Method for Outbreaks of Low-Rate Attacks. SAINT 2012: 267-272 - 2011
- [c15]Mariko Tsurusaki, Jun'ichi Takeuchi:
Stochastic interpretation of universal portfolio and generalized target classes. ISIT 2011: 390-394 - [c14]Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama:
Acceleration technique for boosting classification and its application to face detection. ACML 2011: 335-349 - 2010
- [c13]Masanori Kawakita, Yoko Oie, Jun'ichi Takeuchi:
A note on model selection for small sample regression. ISITA 2010: 112-117
2000 – 2009
- 2009
- [c12]Jun'ichi Takeuchi:
Fisher information determinant and stochastic complexity for Markov models. ISIT 2009: 1894-1898 - 2008
- [c11]Daisuke Inoue, Katsunari Yoshioka, Masashi Eto, Masaya Yamagata, Eisuke Nishino, Jun'ichi Takeuchi, Kazuya Ohkouchi, Koji Nakao:
An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques. ICONIP (1) 2008: 579-586 - 2007
- [c10]Jun'ichi Takeuchi, Tsutomu Kawabata:
Exponential Curvature of Markov Models. ISIT 2007: 2891-2895 - 2006
- [j6]Jun'ichi Takeuchi, Kenji Yamanishi:
A Unifying Framework for Detecting Outliers and Change Points from Time Series. IEEE Trans. Knowl. Data Eng. 18(4): 482-492 (2006) - 2005
- [j5]Jun'ichi Takeuchi, Shun-ichi Amari:
α-parallel prior and its properties. IEEE Trans. Inf. Theory 51(3): 1011-1023 (2005) - 2004
- [j4]Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne:
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms. Data Min. Knowl. Discov. 8(3): 275-300 (2004) - [c9]Takayuki Nakata, Jun'ichi Takeuchi:
Mining traffic data from probe-car system for travel time prediction. KDD 2004: 817-822 - 2003
- [c8]Satoshi Morinaga, Kenji Yamanishi, Jun'ichi Takeuchi:
Distributed cooperative mining for information consortia. KDD 2003: 619-624 - 2002
- [c7]Kenji Yamanishi, Jun'ichi Takeuchi:
A unifying framework for detecting outliers and change points from non-stationary time series data. KDD 2002: 676-681 - 2001
- [c6]Kenji Yamanishi, Jun'ichi Takeuchi:
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. KDD 2001: 389-394 - 2000
- [j3]Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari:
The Lob-Pass Problem. J. Comput. Syst. Sci. 61(3): 523-557 (2000) - [c5]Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne:
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. KDD 2000: 320-324
1990 – 1999
- 1998
- [j2]Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe:
Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. 23(1-2): 53-82 (1998) - 1995
- [j1]Jun'ichi Takeuchi:
Improved Sample Complexity Bounds for Parameter Estimation. IEICE Trans. Inf. Syst. 78-D(5): 526-531 (1995) - 1994
- [c4]Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi:
Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT 1994: 500-515 - 1993
- [c3]Naoki Abe, Jun'ichi Takeuchi:
The "lob-pass" Problem and an On-line Learning Model of Rational Choice. COLT 1993: 422-428 - 1992
- [c2]Jun'ichi Takeuchi:
Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model. ALT 1992: 208-219 - 1991
- [c1]Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi:
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT 1991: 277-289
Coauthor Index
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