| 2025 | ICISC | Improving Scalable Clustering for IoT Malware via Code Region Extraction. | Kosuke Nikawa, Chansu Han, Akira Tanaka, Kazuki Iwamoto, Takeshi Takahashi, Jun'ichi Takeuchi |
| 2024 | ACSAC | Intrusion Detection Simplified: A Feature-free Approach to Traffic Classification Using Transformers. | Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi |
| 2024 | ISIT | Risk Bound on MDL Estimator for Simple ReLU Networks. | Yoshinari Takeishi, Jun'ichi Takeuchi |
| 2023 | COMPSAC | Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering. | Kei Oshio, Satoshi Takada, Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi |
| 2023 | ICISSP | Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis. | Chansu Han, Akira Tanaka, Jun'ichi Takeuchi, Takeshi Takahashi, Tomohiro Morikawa, Tsung-Nan Lin |
| 2022 | ISCC | Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique. | Kei Oshio, Satoshi Takada, Chansu Han, Akira Tanaka, Jun'ichi Takeuchi |
| 2022 | ISIT | On Fisher Information Matrix for Simple Neural Networks with Softplus Activation. | Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi |
| 2022 | ISPR | Malicious Packet Classification Based on Neural Network Using Kitsune Features. | Kohei Miyamoto, Hiroki Goto, Ryosuke Ishibashi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi |
| 2021 | PERCOM | Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? | Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi |
| 2021 | SAC | Investigating behavioral differences between IoT malware via function call sequence graphs. | Reo Kawasoe, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Jun'ichi Takeuchi |
| 2021 | TrustCom | Automated Detection of Malware Activities Using Nonnegative Matrix Factorization. | Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue |
| 2020 | ISITA | On MDL Estimation for Simple Contaminated Gaussian Location Families. | Kohei Miyamoto, Jun'ichi Takeuchi |
| 2019 | ICONIP | A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. | Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi, Koji Nakao |
| 2019 | ISIT | Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. | Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi |
| 2019 | ITW | Dynamics of Damped Approximate Message Passing Algorithms. | Kazushi Mimura, Jun'ichi Takeuchi |
| 2019 | TrustCom | Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso. | Chansu Han, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Masanori Kawakita, Jun'ichi Takeuchi, Koji Nakao |
| 2018 | ISITA | Asymptotic Behavior of Typical Sets and the Smallest High Probability Set. | Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi |
| 2017 | ITW | Information geometry of the family of Markov kernels defined by a context tree. | Jun'ichi Takeuchi, Hiroshi Nagaoka |
| 2016 | ICML | Barron and Cover's Theory in Supervised Learning and its Application to Lasso. | Masanori Kawakita, Jun'ichi Takeuchi |
| 2016 | ICONIP | Botnet Detection Using Graphical Lasso with Graph Density. | Chansu Han, Kento Kono, Shoma Tanaka, Masanori Kawakita, Jun'ichi Takeuchi |
| 2016 | ICONIP | MDL Criterion for NMF with Application to Botnet Detection. | Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi |
| 2016 | ISIT | An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary. | Yoshinari Takeishi, Jun'ichi Takeuchi |
| 2014 | ISIT | Asymptotically minimax regret for models with hidden variables. | Jun'ichi Takeuchi, Andrew R. Barron |
| 2014 | ITW | Stochastic Complexity for tree models. | Jun'ichi Takeuchi, Andrew R. Barron |
| 2013 | ISIT | Least squares superposition codes with Bernoulli dictionary are still reliable at rates up to capacity. | Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi |
| 2013 | ITW | Asymptotically minimax regret by Bayes mixtures for non-exponential families. | Jun'ichi Takeuchi, Andrew R. Barron |
| 2012 | ICONIP | Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle. | Sayaka Yamauchi, Masanori Kawakita, Jun'ichi Takeuchi |
| 2012 | ISIT | Constant Markov Portfolio and its application to universal portfolio with side information. | Mariko Tsurusaki, Jun'ichi Takeuchi |
| 2011 | ISIT | Stochastic interpretation of universal portfolio and generalized target classes. | Mariko Tsurusaki, Jun'ichi Takeuchi |
| 2010 | ISITA | A note on model selection for small sample regression. | Masanori Kawakita, Yoko Oie, Jun'ichi Takeuchi |
| 2009 | ISIT | Fisher information determinant and stochastic complexity for Markov models. | Jun'ichi Takeuchi |
| 2008 | ICONIP | An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques. | Daisuke Inoue, Katsunari Yoshioka, Masashi Eto, Masaya Yamagata, Eisuke Nishino, Jun'ichi Takeuchi, Kazuya Ohkouchi, Koji Nakao |
| 2007 | ISIT | Exponential Curvature of Markov Models. | Jun'ichi Takeuchi, Tsutomu Kawabata |
| 2004 | KDD | Mining traffic data from probe-car system for travel time prediction. | Takayuki Nakata, Jun'ichi Takeuchi |
| 2003 | KDD | Distributed cooperative mining for information consortia. | Satoshi Morinaga, Kenji Yamanishi, Jun'ichi Takeuchi |
| 2002 | KDD | A unifying framework for detecting outliers and change points from non-stationary time series data. | Kenji Yamanishi, Jun'ichi Takeuchi |
| 2001 | KDD | Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. | Kenji Yamanishi, Jun'ichi Takeuchi |
| 2000 | KDD | On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. | Kenji Yamanishi, Jun'ichi Takeuchi, Graham J. Williams, Peter Milne |
| 1994 | ALT | Efficient Distribution-free Population Learning of Simple Concepts. | Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi |
| 1993 | COLT | The "lob-pass" Problem and an On-line Learning Model of Rational Choice. | Naoki Abe, Jun'ichi Takeuchi |
| 1992 | ALT | Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model. | Jun'ichi Takeuchi |
| 1991 | COLT | Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. | Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi |