Jun Kitazono

According to our database, Jun Kitazono authored at least 12 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2020

Efficient search for informational cores in complex systems: Application to brain networks.

Jun Kitazono, Ryota Kanai, Masafumi Oizumi

Neural Networks, 2020

2018

Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory.

Jun Kitazono, Ryota Kanai, Masafumi Oizumi

Entropy, 2018

2017

A hybrid machine learning approach to automatic plant phenotyping for smart agriculture.

So Yahata, Tetsu Onishi, Kanta Yamaguchi, Seiichi Ozawa, Jun Kitazono, Takenao Ohkawa, Takeshi Yoshida, Noriyuki Murakami, Hiroyuki Tsuji

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

t-Distributed stochastic neighbor embedding spectral clustering.

Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multidimensional Unfolding Based on Stochastic Neighbor Relationship.

Naoki Murata, Jun Kitazono, Seiichi Ozawa

Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016

A sentiment polarity prediction model using transfer learning and its application to SNS flaming event detection.

Seiichi Ozawa, Shun Yoshida, Jun Kitazono, Takahiro Sugawara, Tatsuya Haga

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Stochastic collapsed variational Bayesian inference for biterm topic model.

Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom.

Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa

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

2015

Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features.

Hironori Nishikaze, Seiichi Ozawa, Jun Kitazono, Tao Ban, Junji Nakazato, Jumpei Shimamura

Proceedings of the INNS Conference on Big Data 2015, 2015

Adaptive DDoS-Event Detection from Big Darknet Traffic Data.

Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Sentiment analysis for various SNS media using Naïve Bayes classifier and its application to flaming detection.

Shun Yoshida, Jun Kitazono, Seiichi Ozawa, Takahiro Sugawara, Tatsuya Haga, Shogo Nakamura

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets.

Nobuaki Furutani, Tao Ban, Junji Nakazato, Jumpei Shimamura, Jun Kitazono, Seiichi Ozawa

Proceedings of the Ninth Asia Joint Conference on Information Security, 2014