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Jun Kitazono
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2020 – today
- 2020
- [j2]Jun Kitazono
, Ryota Kanai
, Masafumi Oizumi
:
Efficient search for informational cores in complex systems: Application to brain networks. Neural Networks 132: 232-244 (2020)
2010 – 2019
- 2018
- [j1]Jun Kitazono, Ryota Kanai, Masafumi Oizumi:
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. Entropy 20(3): 173 (2018) - 2017
- [c10]Naoki Murata, Jun Kitazono, Seiichi Ozawa:
Multidimensional Unfolding Based on Stochastic Neighbor Relationship. ICMLC 2017: 248-252 - [c9]Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa:
t-Distributed stochastic neighbor embedding spectral clustering. IJCNN 2017: 1628-1632 - [c8]So Yahata, Tetsu Onishi, Kanta Yamaguchi, Seiichi Ozawa, Jun Kitazono, Takenao Ohkawa, Takeshi Yoshida, Noriyuki Murakami, Hiroyuki Tsuji:
A hybrid machine learning approach to automatic plant phenotyping for smart agriculture. IJCNN 2017: 1787-1793 - [i1]Jun Kitazono, Ryota Kanai, Masafumi Oizumi:
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. CoRR abs/1712.06745 (2017) - 2016
- [c7]Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa:
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. ICONIP (3) 2016: 119-128 - [c6]Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa:
Stochastic collapsed variational Bayesian inference for biterm topic model. IJCNN 2016: 3364-3370 - [c5]Seiichi Ozawa, Shun Yoshida, Jun Kitazono, Takahiro Sugawara, Tatsuya Haga:
A sentiment polarity prediction model using transfer learning and its application to SNS flaming event detection. SSCI 2016: 1-7 - 2015
- [c4]Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura:
Adaptive DDoS-Event Detection from Big Darknet Traffic Data. ICONIP (4) 2015: 376-383 - [c3]Hironori Nishikaze, Seiichi Ozawa, Jun Kitazono, Tao Ban, Junji Nakazato, Jumpei Shimamura:
Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features. INNS Conference on Big Data 2015: 175-182 - 2014
- [c2]Nobuaki Furutani, Tao Ban, Junji Nakazato, Jumpei Shimamura, Jun Kitazono, Seiichi Ozawa:
Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets. AsiaJCIS 2014: 39-43 - [c1]Shun Yoshida, Jun Kitazono, Seiichi Ozawa, Takahiro Sugawara, Tatsuya Haga, Shogo Nakamura:
Sentiment analysis for various SNS media using Naïve Bayes classifier and its application to flaming detection. CIBD 2014: 20-25
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