Jun'ichi Takeuchi

83 papers A* 8B 17C 8Misc 1Journal 32Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Function Forms of Simple ReLU Networks with Random Hidden Weights. CoRR Ka Long Keith Ho, Yoshinari Takeishi, Jun'ichi Takeuchi
2025	J	`jnl`	Neural Tangent Kernels and Fisher Information Matrices for Simple ReLU Networks with Random Hidden Weights. CoRR Jun'ichi Takeuchi, Yoshinari Takeishi, Noboru Murata, Kazushi Mimura, Ka Long Keith Ho, Hiroshi Nagaoka
2025	J	`jnl`	Sparse Superposition Codes with Binomial Dictionary are Capacity-Achieving with Maximum Likelihood Decoding. CoRR Yoshinari Takeishi, Jun'ichi Takeuchi
2025	C	`conf`	Towards Architecture-Independent Function Call Analysis for IoT Malware. ISC Kensei Ma, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi
2025	—	`conf`	Towards Explainable Machine Learning NIDS Reflecting Cyber-Attack Characteristics. ARTMAN@CCS Shota Kawanaka, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2024	J	`jnl`	Asymptotically Minimax Regret by Bayes Mixtures. CoRR Jun'ichi Takeuchi, Andrew R. Barron
2024	—	`conf`	Intrusion Detection Simplified: A Feature-free Approach to Traffic Classification Using Transformers. ACSAC Workshops Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2024	B	`conf`	Risk Bound on MDL Estimator for Simple ReLU Networks. ISIT Yoshinari Takeishi, Jun'ichi Takeuchi
2024	J	`jnl`	Risk Bounds on MDL Estimators for Linear Regression Models with Application to Simple ReLU Neural Networks. CoRR Yoshinari Takeishi, Jun'ichi Takeuchi
2023	J	`jnl`	Approximate spectral decomposition of Fisher information matrix for simple ReLU networks. Neural Networks Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi
2023	J	`jnl`	Brain Tumor Classification using Under-Sampled k-Space Data: A Deep Learning Approach. IEICE Trans. Inf. Syst. Tania Sultana, Sho Kurosaki, Yutaka Jitsumatsu, Shigehide Kuhara, Jun'ichi Takeuchi
2023	J	`jnl`	Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. IEEE Access Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2023	J	`jnl`	Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families. CoRR Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
2023	J	`jnl`	Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware. IEICE Trans. Inf. Syst. 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
2023	—	`conf`	Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. AsiaJCIS Shota Kawanaka, Yoshikatsu Kashiwabara, Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2023	J	`jnl`	Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering. IEEE Access Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi
2023	B	`conf`	Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering. COMPSAC Kei Oshio, Satoshi Takada, Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi
2023	C	`conf`	Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis. ICISSP Chansu Han, Akira Tanaka, Jun'ichi Takeuchi, Takeshi Takahashi, Tomohiro Morikawa, Tsung-Nan Lin
2023	—	`conf`	Work in Progress: New Seed Set Selection Method of the Scalable Method for Constructing Phylogenetic Trees. CF Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi
2022	J	`jnl`	Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns. IEEE Access Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue
2022	J	`jnl`	Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. IEEE Access Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2022	C	`conf`	Malicious Packet Classification Based on Neural Network Using Kitsune Features. ISPR Kohei Miyamoto, Hiroki Goto, Ryosuke Ishibashi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2022	B	`conf`	On Fisher Information Matrix for Simple Neural Networks with Softplus Activation. ISIT Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi
2022	C	`conf`	Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique. ISCC Kei Oshio, Satoshi Takada, Chansu Han, Akira Tanaka, Jun'ichi Takeuchi
2021	J	`jnl`	Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks. CoRR Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi
2021	B	`conf`	Automated Detection of Malware Activities Using Nonnegative Matrix Factorization. TrustCom Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue
2021	—	`conf`	Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? PerCom Workshops Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi
2021	Misc	`conf`	Investigating behavioral differences between IoT malware via function call sequence graphs. SAC Reo Kawasoe, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Jun'ichi Takeuchi
2021	J	`jnl`	Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks. IEEE Access Bo Sun, Tao Ban, Chansu Han, Takeshi Takahashi, Katsunari Yoshioka, Jun'ichi Takeuchi, Abdolhossein Sarrafzadeh, Meikang Qiu, Daisuke Inoue
2021	—	`conf`	Scalable and Fast Hierarchical Clustering of IoT Malware Using Active Data Selection. FMEC Tianxiang He, Chansu Han, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi
2021	—	`conf`	Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions. AsiaJCIS Ryosuke Ishibashi, Hiroki Goto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
2020	J	`jnl`	Minimum Description Length Principle in Supervised Learning With Application to Lasso. IEEE Trans. Inf. Theory Masanori Kawakita, Jun'ichi Takeuchi
2020	C	`conf`	On MDL Estimation for Simple Contaminated Gaussian Location Families. ISITA Kohei Miyamoto, Jun'ichi Takeuchi
2020	J	`jnl`	Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso. IEICE Trans. Inf. Syst. Chansu Han, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Jun'ichi Takeuchi, Koji Nakao
2019	—	`conf`	A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. ICONIP (1) Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi, Koji Nakao
2019	B	`conf`	Dynamics of Damped Approximate Message Passing Algorithms. ITW Kazushi Mimura, Jun'ichi Takeuchi
2019	B	`conf`	Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. ISIT Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
2019	—	`conf`	Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso. TrustCom/BigDataSE Chansu Han, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Masanori Kawakita, Jun'ichi Takeuchi, Koji Nakao
2018	J	`jnl`	A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization. Comput. Optim. Appl. Norikazu Takahashi, Jiro Katayama, Masato Seki, Jun'ichi Takeuchi
2018	J	`jnl`	An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary. CoRR Yoshinari Takeishi, Jun'ichi Takeuchi
2018	C	`conf`	Asymptotic Behavior of Typical Sets and the Smallest High Probability Set. ISITA Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi
2017	J	`jnl`	A note on model selection for small sample regression. Mach. Learn. Masanori Kawakita, Jun'ichi Takeuchi
2017	B	`conf`	Information geometry of the family of Markov kernels defined by a context tree. ITW Jun'ichi Takeuchi, Hiroshi Nagaoka
2016	B	`conf`	An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary. ISIT Yoshinari Takeishi, Jun'ichi Takeuchi
2016	A*	`conf`	Barron and Cover's Theory in Supervised Learning and its Application to Lasso. ICML Masanori Kawakita, Jun'ichi Takeuchi
2016	—	`conf`	Botnet Detection Using Graphical Lasso with Graph Density. ICONIP (1) Chansu Han, Kento Kono, Shoma Tanaka, Masanori Kawakita, Jun'ichi Takeuchi
2016	—	`conf`	MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi
2016	J	`jnl`	Minimum Description Length Principle in Supervised Learning with Application to Lasso. CoRR Masanori Kawakita, Jun'ichi Takeuchi
2014	B	`conf`	Asymptotically minimax regret for models with hidden variables. ISIT Jun'ichi Takeuchi, Andrew R. Barron
2014	J	`jnl`	Least Squares Superposition Codes With Bernoulli Dictionary are Still Reliable at Rates up to Capacity. IEEE Trans. Inf. Theory Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi
2014	J	`jnl`	Safe semi-supervised learning based on weighted likelihood. Neural Networks Masanori Kawakita, Jun'ichi Takeuchi
2014	B	`conf`	Stochastic Complexity for tree models. ITW Jun'ichi Takeuchi, Andrew R. Barron
2013	J	`jnl`	A Behavior-based Method for Detecting Distributed Scan Attacks in Darknets. Inf. Media Technol. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi
2013	J	`jnl`	A Behavior-based Method for Detecting Distributed Scan Attacks in Darknets. J. Inf. Process. Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi
2013	B	`conf`	Asymptotically minimax regret by Bayes mixtures for non-exponential families. ITW Jun'ichi Takeuchi, Andrew R. Barron
2013	—	`conf`	Boundedness of modified multiplicative updates for nonnegative matrix factorization. CAMSAP Jiro Katayama, Norikazu Takahashi, Jun'ichi Takeuchi
2013	B	`conf`	Least squares superposition codes with Bernoulli dictionary are still reliable at rates up to capacity. ISIT Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi
2013	J	`jnl`	Properties of Jeffreys Mixture for Markov Sources. IEEE Trans. Inf. Theory Jun'ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron
2012	—	`conf`	A Behavior-Based Detection Method for Outbreaks of Low-Rate Attacks. SAINT Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun'ichi Takeuchi
2012	—	`conf`	Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle. ICONIP (5) Sayaka Yamauchi, Masanori Kawakita, Jun'ichi Takeuchi
2012	B	`conf`	Constant Markov Portfolio and its application to universal portfolio with side information. ISIT Mariko Tsurusaki, Jun'ichi Takeuchi
2012	—	`conf`	Information Theoretic Limit of Single-Frame Super-Resolution. EST Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi, Jun'ichi Takeuchi
2011	C	`conf`	Acceleration technique for boosting classification and its application to face detection. ACML Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama
2011	B	`conf`	Stochastic interpretation of universal portfolio and generalized target classes. ISIT Mariko Tsurusaki, Jun'ichi Takeuchi
2010	C	`conf`	A note on model selection for small sample regression. ISITA Masanori Kawakita, Yoko Oie, Jun'ichi Takeuchi
2009	B	`conf`	Fisher information determinant and stochastic complexity for Markov models. ISIT Jun'ichi Takeuchi
2008	—	`conf`	An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques. ICONIP (1) Daisuke Inoue, Katsunari Yoshioka, Masashi Eto, Masaya Yamagata, Eisuke Nishino, Jun'ichi Takeuchi, Kazuya Ohkouchi, Koji Nakao
2007	B	`conf`	Exponential Curvature of Markov Models. ISIT Jun'ichi Takeuchi, Tsutomu Kawabata
2006	J	`jnl`	A Unifying Framework for Detecting Outliers and Change Points from Time Series. IEEE Trans. Knowl. Data Eng. Jun'ichi Takeuchi, Kenji Yamanishi
2005	J	`jnl`	α-parallel prior and its properties. IEEE Trans. Inf. Theory Jun'ichi Takeuchi, Shun-ichi Amari
2004	A*	`conf`	Mining traffic data from probe-car system for travel time prediction. KDD Takayuki Nakata, Jun'ichi Takeuchi
2004	J	`jnl`	On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms. Data Min. Knowl. Discov. Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne
2003	A*	`conf`	Distributed cooperative mining for information consortia. KDD Satoshi Morinaga, Kenji Yamanishi, Jun'ichi Takeuchi
2002	A*	`conf`	A unifying framework for detecting outliers and change points from non-stationary time series data. KDD Kenji Yamanishi, Jun'ichi Takeuchi
2001	A*	`conf`	Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. KDD Kenji Yamanishi, Jun'ichi Takeuchi
2000	A*	`conf`	On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. KDD Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne
2000	J	`jnl`	The Lob-Pass Problem. J. Comput. Syst. Sci. Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari
1998	J	`jnl`	Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe
1995	J	`jnl`	Improved Sample Complexity Bounds for Parameter Estimation. IEICE Trans. Inf. Syst. Jun'ichi Takeuchi
1994	—	`conf`	Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi
1993	A*	`conf`	The "lob-pass" Problem and an On-line Learning Model of Rational Choice. COLT Naoki Abe, Jun'ichi Takeuchi
1992	B	`conf`	Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model. ALT Jun'ichi Takeuchi
1991	A*	`conf`	Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi