Jun'ichi Takeuchi

CoRR, 2024

Asymptotically Minimax Regret by Bayes Mixtures.

[BibT_eX]

[DOI]

CoRR, 2024

Risk Bound on MDL Estimator for Simple ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Brain Tumor Classification using Under-Sampled k-Space Data: A Deep Learning Approach.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., November, 2023

Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., September, 2023

Approximate spectral decomposition of Fisher information matrix for simple ReLU networks.

[BibT_eX]

[DOI]

Masazumi Iida

Neural Networks, July, 2023

Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families.

[BibT_eX]

[DOI]

Kohei Miyamoto

CoRR, 2023

Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach.

[BibT_eX]

[DOI]

IEEE Access, 2023

Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering.

[BibT_eX]

[DOI]

IEEE Access, 2023

Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Work in Progress: New Seed Set Selection Method of the Scalable Method for Constructing Phylogenetic Trees.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads.

[BibT_eX]

[DOI]

Shota Kawanaka

Yoshikatsu Kashiwabara

Proceedings of the 18th Asia Joint Conference on Information Security, 2023

2022

Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

IEEE Access, 2022

Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns.

[BibT_eX]

[DOI]

IEEE Access, 2022

Malicious Packet Classification Based on Neural Network Using Kitsune Features.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Pattern Recognition, 2022

On Fisher Information Matrix for Simple Neural Networks with Softplus Activation.

[BibT_eX]

[DOI]

Masazumi Iida

Proceedings of the IEEE International Symposium on Information Theory, 2022

Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

2021

Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks.

[BibT_eX]

[DOI]

Abdolhossein Sarrafzadeh

Meikang Qiu

Daisuke Inoue

IEEE Access, 2021

Automated Detection of Malware Activities Using Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Trust, 2021

Investigating behavioral differences between IoT malware via function call sequence graphs.

[BibT_eX]

[DOI]

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines?

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Scalable and Fast Hierarchical Clustering of IoT Malware Using Active Data Selection.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Fog and Mobile Edge Computing, 2021

Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions.

[BibT_eX]

[DOI]

Proceedings of the 16th Asia Joint Conference on Information Security, 2021

2020

Minimum Description Length Principle in Supervised Learning With Application to Lasso.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2020

On MDL Estimation for Simple Contaminated Gaussian Location Families.

[BibT_eX]

[DOI]

Kohei Miyamoto

Proceedings of the International Symposium on Information Theory and Its Applications, 2020

2019

Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Trust, 2019

Dynamics of Damped Approximate Message Passing Algorithms.

[BibT_eX]

[DOI]

Kazushi Mimura

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families.

[BibT_eX]

[DOI]

Kohei Miyamoto

Proceedings of the IEEE International Symposium on Information Theory, 2019

A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

An Improved Analysis of Least Squares Superposition Codes with Bernoulli Dictionary.

[BibT_eX]

[DOI]

CoRR, 2018

A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2018

Asymptotic Behavior of Typical Sets and the Smallest High Probability Set.

[BibT_eX]

[DOI]

Munenori Eto

Proceedings of the International Symposium on Information Theory and Its Applications, 2018

2017

A note on model selection for small sample regression.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Information geometry of the family of Markov kernels defined by a context tree.

[BibT_eX]

[DOI]

Hiroshi Nagaoka

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

2016

An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

MDL Criterion for NMF with Application to Botnet Detection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Botnet Detection Using Graphical Lasso with Graph Density.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Barron and Cover's Theory in Supervised Learning and its Application to Lasso.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Least Squares Superposition Codes With Bernoulli Dictionary are Still Reliable at Rates up to Capacity.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Safe semi-supervised learning based on weighted likelihood.

[BibT_eX]

[DOI]

Neural Networks, 2014

Stochastic Complexity for tree models.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Asymptotically minimax regret for models with hidden variables.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Properties of Jeffreys Mixture for Markov Sources.

[BibT_eX]

[DOI]

Tsutomu Kawabata

IEEE Trans. Inf. Theory, 2013

A Behavior-based Method for Detecting Distributed Scan Attacks in Darknets.

[BibT_eX]

[DOI]

J. Inf. Process., 2013

Asymptotically minimax regret by Bayes mixtures for non-exponential families.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Boundedness of modified multiplicative updates for nonnegative matrix factorization.

[BibT_eX]

[DOI]

Jiro Katayama

Norikazu Takahashi

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

A Behavior-Based Detection Method for Outbreaks of Low-Rate Attacks.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE/IPSJ International Symposium on Applications and the Internet, 2012

Constant Markov Portfolio and its application to universal portfolio with side information.

[BibT_eX]

[DOI]

Mariko Tsurusaki

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle.

[BibT_eX]

[DOI]

Sayaka Yamauchi

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Information Theoretic Limit of Single-Frame Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2012 Third International Conference on Emerging Security Technologies, 2012

2011

Acceleration technique for boosting classification and its application to face detection.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Stochastic interpretation of universal portfolio and generalized target classes.

[BibT_eX]

[DOI]

Mariko Tsurusaki

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010

A note on model selection for small sample regression.

[BibT_eX]

[DOI]

Yoko Oie

Proceedings of the International Symposium on Information Theory and its Applications, 2010

2009

Fisher information determinant and stochastic complexity for Markov models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

2008

An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Exponential Curvature of Markov Models.

[BibT_eX]

[DOI]

Tsutomu Kawabata

Proceedings of the IEEE International Symposium on Information Theory, 2007

2006

A Unifying Framework for Detecting Outliers and Change Points from Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

2005

α-parallel prior and its properties.

[BibT_eX]

[DOI]

Shun-ichi Amari

IEEE Trans. Inf. Theory, 2005

2004

On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2004

Mining traffic data from probe-car system for travel time prediction.

[BibT_eX]

[DOI]

Takayuki Nakata

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Distributed cooperative mining for information consortia.

[BibT_eX]

[DOI]

Satoshi Morinaga

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

A unifying framework for detecting outliers and change points from non-stationary time series data.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner.

[BibT_eX]

[DOI]

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

The Lob-Pass Problem.

[BibT_eX]

[DOI]

Shun-ichi Amari

J. Comput. Syst. Sci., 2000

1998

Efficient Distribution-Free Population Learning of Simple Concepts.

[BibT_eX]

[DOI]

Atsuyoshi Nakamura

Ann. Math. Artif. Intell., 1998

1995

Improved Sample Complexity Bounds for Parameter Estimation.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 1995

1993

The "lob-pass" Problem and an On-line Learning Model of Rational Choice.

[BibT_eX]

[DOI]

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, Third Workshop, 1992

1991

Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

Manfred K. Warmuth