S. Ozawa

Naoki Tsuchiya, Shigeo Abe, Seiichi Ozawa, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Neural Information Processing

Seiichi Ozawa, Long Cheng, Andrew Chi Sing Leung, 2018, Lecture Notes in Computer Science.

Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences

Seiichi Ozawa, Sangwook Kim, Muhammad Fakhrur Rozi, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation

Seiichi Ozawa, Samuel Ndichu, Takeshi Misu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

Seiichi Ozawa, Shogo Nakamura, Jun Kitazono, 2014, 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD).

Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems

Nikola K. Kasabov, Seiichi Ozawa, Masayuki Hisada, 2010, Evol. Syst..

A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning

Naoki Hashimoto, Tao Ban, Seiichi Ozawa, 2018, INNS Conference on Big Data.

A Multitask Learning Model for Online Pattern Recognition

Seiichi Ozawa, Dmitri Roussinov, Asim Roy, 2009, IEEE Transactions on Neural Networks.

A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer

Seiichi Ozawa, Simeng Yue, S. Ozawa, 2012, 2012 11th International Conference on Machine Learning and Applications.

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

Hiroyuki Tsuji, Takeshi Yoshida, Takenao Ohkawa, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Incremental Learning of Chunk Data for Online Pattern Classification Systems

Shaoning Pang, Nikola K. Kasabov, Seiichi Ozawa, 2008, IEEE Transactions on Neural Networks.

Incremental learning of feature space and classifier for face recognition

Shigeo Abe, Shaoning Pang, Nikola K. Kasabov, 2005, Neural Networks.

Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things

Cesare Alippi, Seiichi Ozawa, S. Ozawa, 2019, Artificial Intelligence in the Age of Neural Networks and Brain Computing.

Neural Information Processing

Akira Hirose, Kazushi Ikeda, Kenji Doya, 2014, Lecture Notes in Computer Science.

t-Distributed stochastic neighbor embedding spectral clustering

Seiichi Ozawa, Toshiaki Omori, Nicoleta Rogovschi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Frequency-based Enhancement Network for Efficient Super-Resolution

Pau Rodríguez López, Jordi Gonzàlez, Carles Fernández, 2022, IEEE Access.

Extraction of Soil Moisture Change Involved in Soybean Yield by Similarity Evaluation Encompassing Time Series Data

S. Ozawa, Noriyuki Murakami, Takuji Nakamura, 2019, Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019.

Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments

Minho Lee, Seiichi Ozawa, Young-Min Jang, 2012, ICONIP.

An autonomous online malicious spam email detection system using extended RBF network

Tao Ban, Seiichi Ozawa, Siti Hajar Aminah Ali, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption

Seiichi Ozawa, Takuya Hayashi, Lihua Wang, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom

Seiichi Ozawa, Toshiaki Omori, Nicoleta Rogovschi, 2016, ICONIP.

JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism

Tao Ban, Seiichi Ozawa, Daisuke Inoue, 2021, International Conference on Neural Information Processing.

Neural Information Processing

Derong Liu, Biao Luo, Yueheng Li, 2018, Lecture Notes in Computer Science.

Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring

Dejan Dovzan, Igor Skrjanc, Tao Ban, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

A neural network model for detecting DDoS attacks using darknet traffic features

Tao Ban, Seiichi Ozawa, Siti Hajar Aminah Ali, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Tao Ban, Seiichi Ozawa, Jumpei Shimamura, 2014, 2014 Ninth Asia Joint Conference on Information Security.

AI Web-Contents Analyzer for Monitoring Underground Marketplace

Akira Yamada, Seiichi Ozawa, Yuki Kawaguchi, 2017, ICONIP.

An Architecture Design Method of Modular Dynamical Neural Networks Using Genetic Algorithms

Kazuyoshi Tsutsumi, Norio Baba, Seiichi Ozawa, 2000 .

Outlier Detection by Privacy-Preserving Ensemble Decision Tree U sing Homomorphic Encryption

S. Ozawa, Lihua Wang, Kengo Itokazu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Privacy preserving extreme learning machine using additively homomorphic encryption

Shiho Moriai, Seiichi Ozawa, Yoshinori Aono, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Emergence of feature extraction function using genetic programming

Manabu Kotani, Seiichi Ozawa, M. Nakai, 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).

Multidimensional Unfolding Based on Stochastic Neighbor Relationship

Seiichi Ozawa, Naoki Murata, Jun Kitazono, 2017, ICMLC.

t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations

Seiichi Ozawa, Basarab Matei, Nicoleta Rogovschi, 2019, Aust. J. Intell. Inf. Process. Syst..

A robust incremental principal component analysis for feature extraction from stream data with missing values

Seiichi Ozawa, Toshiaki Omori, Daijiro Aoki, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

An Online Malicious Spam Email Detection System Using Resource Allocating Network with Locality Sensitive Hashing

Tao Ban, Seiichi Ozawa, Jumpei Shimamura, 2015 .

Online Feature Extraction Algorithms for Data Streams: —Incremental Principal Component Analysis—@@@—追加型主成分分析—

Seiichi Ozawa, S. Ozawa, 2012 .

An incremental learning algorithm of Recursive Fisher Linear Discriminant

Seiichi Ozawa, Ryohei Ohta, S. Ozawa, 2009, 2009 International Joint Conference on Neural Networks.

2005 Special issue: Incremental learning of feature space and classifier for face recognition

Soon Lee Toh, S. Abe, N. Kasabov, 2005 .

A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier

Shaoning Pang, Nikola K. Kasabov, Seiichi Ozawa, 2004, PRICAI.

A property of learning chunk data using incremental kernel principal component analysis

Seiichi Ozawa, Takaomi Tokumoto, S. Ozawa, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

A real-time personal authentication system based on incremental feature extraction and classification of audiovisual information

Minho Lee, Seiichi Ozawa, Young-Min Jang, 2011, Evol. Syst..

An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection

Shigeo Abe, Seiichi Ozawa, Yohei Takeuchi, 2007, 2007 International Joint Conference on Neural Networks.