Jun Kitazono

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 9

Top Topics

Sentiment Polarity

Eigendecomposition

Efficient Search

Variational Bayesian Inference

Top Venues

Publications

Jun Kitazono, Ryota Kanai, Masafumi Oizumi
Efficient search for informational cores in complex systems: Application to brain networks. Neural Networks 132 (2020)
Jun Kitazono, Ryota Kanai, Masafumi Oizumi
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. Entropy 20 (3) (2018)
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)
Jun Kitazono, Ryota Kanai, Masafumi Oizumi
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. CoRR (2017)
Naoki Murata, Jun Kitazono, Seiichi Ozawa
Multidimensional Unfolding Based on Stochastic Neighbor Relationship. ICMLC (2017)
Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa
t-Distributed stochastic neighbor embedding spectral clustering. IJCNN (2017)
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)
Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. ICONIP (3) (2016)
Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa
Stochastic collapsed variational Bayesian inference for biterm topic model. IJCNN (2016)
Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
Adaptive DDoS-Event Detection from Big Darknet Traffic Data. ICONIP (4) (2015)
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)
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)
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)