Jun'ichi Takeuchi

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 41

Top Topics

Intrusion Detection

Top Venues

Publications

Yoshinari Takeishi, Jun'ichi Takeuchi
Risk Bounds on MDL Estimators for Linear Regression Models with Application to Simple ReLU Neural Networks. CoRR (2024)
Jun'ichi Takeuchi, Andrew R. Barron
Asymptotically Minimax Regret by Bayes Mixtures. CoRR (2024)
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)
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)
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)
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 (2023)
Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families. CoRR (2023)
Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi
Approximate spectral decomposition of Fisher information matrix for simple ReLU networks. Neural Networks 164 (2023)
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 (2023)
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) (2023)
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)
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) (2023)
Kei Oshio, Satoshi Takada, Chansu Han, Akira Tanaka, Jun'ichi Takeuchi
Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique. ISCC (2022)
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 (2022)
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)
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 (2022)
Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi
On Fisher Information Matrix for Simple Neural Networks with Softplus Activation. ISIT (2022)
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)
Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi
Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks. CoRR (2021)
Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue
Automated Detection of Malware Activities Using Nonnegative Matrix Factorization. TrustCom (2021)
Reo Kawasoe, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Jun'ichi Takeuchi
Investigating behavioral differences between IoT malware via function call sequence graphs. SAC (2021)
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 (2021)
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)
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)
Masanori Kawakita, Jun'ichi Takeuchi
Minimum Description Length Principle in Supervised Learning With Application to Lasso. IEEE Trans. Inf. Theory 66 (7) (2020)
Kohei Miyamoto, Jun'ichi Takeuchi
On MDL Estimation for Simple Contaminated Gaussian Location Families. ISITA (2020)
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. (10) (2020)
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)
Kazushi Mimura, Jun'ichi Takeuchi
Dynamics of Damped Approximate Message Passing Algorithms. ITW (2019)
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)
Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. ISIT (2019)
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) (2018)
Yoshinari Takeishi, Jun'ichi Takeuchi
An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary. CoRR (2018)
Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi
Asymptotic Behavior of Typical Sets and the Smallest High Probability Set. ISITA (2018)
Jun'ichi Takeuchi, Hiroshi Nagaoka
Information geometry of the family of Markov kernels defined by a context tree. ITW (2017)
Masanori Kawakita, Jun'ichi Takeuchi
A note on model selection for small sample regression. Mach. Learn. 106 (11) (2017)
Yoshinari Takeishi, Jun'ichi Takeuchi
An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary. ISIT (2016)
Masanori Kawakita, Jun'ichi Takeuchi
Barron and Cover's Theory in Supervised Learning and its Application to Lasso. ICML (2016)
Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi
MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) (2016)
Masanori Kawakita, Jun'ichi Takeuchi
Minimum Description Length Principle in Supervised Learning with Application to Lasso. CoRR (2016)
Chansu Han, Kento Kono, Shoma Tanaka, Masanori Kawakita, Jun'ichi Takeuchi
Botnet Detection Using Graphical Lasso with Graph Density. ICONIP (1) (2016)
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) (2014)
Masanori Kawakita, Jun'ichi Takeuchi
Safe semi-supervised learning based on weighted likelihood. Neural Networks 53 (2014)
Jun'ichi Takeuchi, Andrew R. Barron
Stochastic Complexity for tree models. ITW (2014)
Jun'ichi Takeuchi, Andrew R. Barron
Asymptotically minimax regret for models with hidden variables. ISIT (2014)
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) (2013)
Jun'ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron
Properties of Jeffreys Mixture for Markov Sources. IEEE Trans. Inf. Theory 59 (1) (2013)
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) (2013)
Jiro Katayama, Norikazu Takahashi, Jun'ichi Takeuchi
Boundedness of modified multiplicative updates for nonnegative matrix factorization. CAMSAP (2013)
Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi
Least squares superposition codes with Bernoulli dictionary are still reliable at rates up to capacity. ISIT (2013)
Jun'ichi Takeuchi, Andrew R. Barron
Asymptotically minimax regret by Bayes mixtures for non-exponential families. ITW (2013)
Mariko Tsurusaki, Jun'ichi Takeuchi
Constant Markov Portfolio and its application to universal portfolio with side information. ISIT (2012)
Sayaka Yamauchi, Masanori Kawakita, Jun'ichi Takeuchi
Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle. ICONIP (5) (2012)
Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi, Jun'ichi Takeuchi
Information Theoretic Limit of Single-Frame Super-Resolution. EST (2012)
Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi
A Behavior-Based Detection Method for Outbreaks of Low-Rate Attacks. SAINT (2012)
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)
Mariko Tsurusaki, Jun'ichi Takeuchi
Stochastic interpretation of universal portfolio and generalized target classes. ISIT (2011)
Masanori Kawakita, Yoko Oie, Jun'ichi Takeuchi
A note on model selection for small sample regression. ISITA (2010)
Jun'ichi Takeuchi
Fisher information determinant and stochastic complexity for Markov models. ISIT (2009)
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)
Jun'ichi Takeuchi, Tsutomu Kawabata
Exponential Curvature of Markov Models. ISIT (2007)
Jun'ichi Takeuchi, Kenji Yamanishi
A Unifying Framework for Detecting Outliers and Change Points from Time Series. IEEE Trans. Knowl. Data Eng. 18 (4) (2006)
Jun'ichi Takeuchi, Shun-ichi Amari
α-parallel prior and its properties. IEEE Trans. Inf. Theory 51 (3) (2005)
Takayuki Nakata, Jun'ichi Takeuchi
Mining traffic data from probe-car system for travel time prediction. KDD (2004)
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) (2004)
Satoshi Morinaga, Kenji Yamanishi, Jun'ichi Takeuchi
Distributed cooperative mining for information consortia. KDD (2003)
Kenji Yamanishi, Jun'ichi Takeuchi
A unifying framework for detecting outliers and change points from non-stationary time series data. KDD (2002)
Kenji Yamanishi, Jun'ichi Takeuchi
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. KDD (2001)
Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari
The Lob-Pass Problem. J. Comput. Syst. Sci. 61 (3) (2000)
Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. KDD (2000)
Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe
Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. 23 (1-2) (1998)
Jun'ichi Takeuchi
Improved Sample Complexity Bounds for Parameter Estimation. IEICE Trans. Inf. Syst. (5) (1995)
Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi
Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT (1994)
Naoki Abe, Jun'ichi Takeuchi
The "lob-pass" Problem and an On-line Learning Model of Rational Choice. COLT (1993)
Jun'ichi Takeuchi
Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model. ALT (1992)
Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT (1991)