Jun'ichi Takeuchi
Orcid: 0000-0002-5819-3082Affiliations:
- Kyushu University, Fukuoka, Graduate School of Information Science and Electrical Engineering
According to our database1,
Jun'ichi Takeuchi
authored at least 68 papers
between 1991 and 2023.
Collaborative distances:
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Bibliography
2023
Brain Tumor Classification using Under-Sampled k-Space Data: A Deep Learning Approach.
IEICE Trans. Inf. Syst., November, 2023
Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware.
IEICE Trans. Inf. Syst., September, 2023
Approximate spectral decomposition of Fisher information matrix for simple ReLU networks.
Neural Networks, July, 2023
Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families.
CoRR, 2023
Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach.
IEEE Access, 2023
Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering.
IEEE Access, 2023
Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis.
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.
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.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads.
Proceedings of the 18th Asia Joint Conference on Information Security, 2023
2022
Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems.
IEEE Access, 2022
Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns.
IEEE Access, 2022
Proceedings of the Intelligent Systems and Pattern Recognition, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
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.
IEEE Access, 2021
Proceedings of the 20th IEEE International Conference on Trust, 2021
Investigating behavioral differences between IoT malware via function call sequence graphs.
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?
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.
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.
Proceedings of the 16th Asia Joint Conference on Information Security, 2021
2020
Minimum Description Length Principle in Supervised Learning With Application to Lasso.
IEEE Trans. Inf. Theory, 2020
Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso.
IEICE Trans. Inf. Syst., 2020
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.
Proceedings of the 18th IEEE International Conference On Trust, 2019
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families.
Proceedings of the IEEE International Symposium on Information Theory, 2019
A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
CoRR, 2018
A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization.
Comput. Optim. Appl., 2018
Proceedings of the International Symposium on Information Theory and Its Applications, 2018
2017
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.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
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.
IEEE Trans. Inf. Theory, 2014
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2013
J. Inf. Process., 2013
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
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.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the 2012 Third International Conference on Emerging Security Technologies, 2012
2011
Acceleration technique for boosting classification and its application to face detection.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
2010
Proceedings of the International Symposium on Information Theory and its Applications, 2010
2009
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.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
2006
IEEE Trans. Knowl. Data Eng., 2006
2005
2004
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms.
Data Min. Knowl. Discov., 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
2003
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.
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.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
2000
1998
Ann. Math. Artif. Intell., 1998
1995
IEICE Trans. Inf. Syst., 1995
1993
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993
1992
Proceedings of the Algorithmic Learning Theory, Third Workshop, 1992
1991
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence.
Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991