A multimodule neural network model and the estimate of its nature as associative memory. - Seiichi Ozawa; Kazuyoshi Tsutsumi (Syst. Comput. Jpn., 1995)

Design of Modular Neural Network Architectures Using Genetic Algorithms. - Seiichi Ozawa; Kazuyoshi Tsutsumi; Norio Baba (ICONIP, 1998)

An artificial modular neural network and its basic dynamical characteristics. - Seiichi Ozawa; Kazuyoshi Tsutsumi; Norio Baba (Biol. Cybern., 1998)

Application of independent component analysis to feature extraction of speech. - Manabu Kotani; Yasunobu Shirata; Satoshi Maekawa; Seiichi Ozawa; Kenzo Akazawa (IJCNN, 1999)

Application of independent component analysis to handwritten Japanese character recognition. - Seiichi Ozawa; Toshihide Tsujimoto; Manabu Kotani; Norio Baba (IJCNN, 1999)

Emergence of feature extraction function using genetic programming. - Manabu Kotani; Seiichi Ozawa; Masaki Nakai; Kenzo Akazawa (KES, 1999)

Evolution of a dynamical modular neural network and its application to associative memories. - Seiichi Ozawa; K. Tsutumi; Norio Baba (KES, 1999)

A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics. - Seiichi Ozawa; Kazuyoshi Tsutsumi; Norio Baba (Neural Process. Lett., 1999)

Training Three-Layer Neural Network Classifiers by Solving Inequalities. - Naoki Tsuchiya; Seiichi Ozawa; Shigeo Abe (IJCNN (3), 2000)

A fast incremental learning algorithm of RBF networks with long-term memory. - Keisuke Okamoto; Seiichi Ozawa; Shigeo Abe (IJCNN, 2003)

Incremental learning in dynamic environments using neural network with long-term memory. - Kenji Tsumori; Seiichi Ozawa (IJCNN, 2003)

Reinforcement Learning Using RBF Networks with Memory Mechanism. - Seiichi Ozawa; Naoto Shiraga (KES, 2003)

A memory-based neural network model for efficient adaptation to dynamic environments. - Seiichi Ozawa; Kenji Tsumori (FUZZ-IEEE, 2004)

One-Pass Incremental Membership Authentication by Face Classification. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (ICBA, 2004)

Supervised Independent Component Analysis with Class Information. - Manabu Kotani; Hiroki Takabatake; Seiichi Ozawa (ICONIP, 2004)

A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (PRICAI, 2004)

Detection of gas leakage sound using modular neural networks for unknown environments. - Manabu Kotani; Masanori Katsura; Seiichi Ozawa (Neurocomputing, 2004)

Incremental Kernel PCA for Online Learning of Feature Space. - Shosuke Kimura; Seiichi Ozawa; Shigeo Abe (CIMCA/IAWTIC, 2005)

Incremental learning for online face recognition. - Seiichi Ozawa; Soon Lee Toh; Shigeo Abe; Shaoning Pang 001; Nikola K. Kasabov (IJCNN, 2005)

Chunk Incremental LDA Computing on Data Streams. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (ISNN (2), 2005)

Incremental learning of feature space and classifier for face recognition. - Seiichi Ozawa; Soon Lee Toh; Shigeo Abe; Shaoning Pang 001; Nikola K. Kasabov (Neural Networks, 2005)

Feature Extraction Using Independent Components of Each Category. - Manabu Kotani; Seiichi Ozawa (Neural Process. Lett., 2005)

Incremental linear discriminant analysis for classification of data streams. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (IEEE Trans. Syst. Man Cybern. Part B, 2005)

An Incremental Principal Component Analysis for Chunk Data. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (FUZZ-IEEE, 2006)

An Incremental Learning Algorithm of Ensemble Classifier Systems. - Takuya Kidera; Seiichi Ozawa; Shigeo Abe (IJCNN, 2006)

Incremental learning of feature space and classifier for on-line pattern recognition. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (Int. J. Knowl. Based Intell. Eng. Syst., 2006)

Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (2), 2007)

An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. - Yohei Takeuchi; Seiichi Ozawa; Shigeo Abe (IJCNN, 2007)

A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition. - Shinji Kita; Seiichi Ozawa; Satoshi Maekawa; Shigeo Abe (IEICE Trans. Inf. Syst., 2007)

Incremental Learning for Multitask Pattern Recognition Problems. - Seiichi Ozawa; Asim Roy (ICMLA, 2008)

A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. - Masayuki Hisada; Seiichi Ozawa; Kau Zhang; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (1), 2008)

A Neural Network Model for Sequential Multitask Pattern Recognition Problems. - Hitoshi Nishikawa; Seiichi Ozawa; Asim Roy (ICONIP (1), 2008)

Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. - Seiichi Ozawa; Kazuya Matsumoto; Shaoning Pang 001; Nikola K. Kasabov (ICONIP (1), 2008)

Incremental Learning of Chunk Data for Online Pattern Classification Systems. - Seiichi Ozawa; Shaoning Pang 001; Nikola K. Kasabov (IEEE Trans. Neural Networks, 2008)

An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression. - Seiichi Ozawa; Keisuke Okamoto (ICONIP (1), 2009)

An Autonomous Learning Algorithm of Resource Allocating Network. - Toshihisa Tabuchi; Seiichi Ozawa; Asim Roy (IDEAL, 2009)

An incremental learning algorithm of Recursive Fisher Linear Discriminant. - Ryohei Ohta; Seiichi Ozawa (IJCNN, 2009)

Adaptive incremental principal component analysis in nonstationary online learning environments. - Seiichi Ozawa; Yuki Kawashima; Shaoning Pang 001; Nikola K. Kasabov (IJCNN, 2009)

Curiosity driven incremental LDA agent active learning. - Shaoning Pang 001; Seiichi Ozawa; Nikola K. Kasabov (IJCNN, 2009)

A Reinforcement Learning Model Using Macro-actions in Multi-task Grid-World Problems. - Seiichi Ozawa; Hiroshi Onda (SMC, 2009)

Tuning membership functions of kernel fuzzy classifiers by maximizing margins. - Kazuya Morikawa; Seiichi Ozawa; Shigeo Abe (Memetic Comput., 2009)

A Multitask Learning Model for Online Pattern Recognition. - Seiichi Ozawa; Asim Roy; Dmitri Roussinov (IEEE Trans. Neural Networks, 2009)

An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition. - Seiichi Ozawa; Sho Nakasaka; Asim Roy (IJCNN, 2010)

A Real-Time Personal Authentication System with Selective Attention and Incremental Learning Mechanism in Feature Extraction and Classifier. - Young-Min Jang; Seiichi Ozawa; Minho Lee (PRICAI, 2010)

A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction. - Seiichi Ozawa; Yohei Takeuchi; Shigeo Abe (PRICAI, 2010)

Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems. - Masayuki Hisada; Seiichi Ozawa; Kau Zhang; Nikola K. Kasabov (Evol. Syst., 2010)

Fast Variable Selection by Block Addition and Block Deletion. - Takashi Nagatani; Seiichi Ozawa; Shigeo Abe (J. Intell. Learn. Syst. Appl., 2010)

An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks. - Seiichi Ozawa; Toshihisa Tabuchi; Sho Nakasaka; Asim Roy (J. Intell. Learn. Syst. Appl., 2010)

Incremental recursive fisher linear discriminant for online feature extraction. - Seiichi Ozawa; Ryohei Ohta (EAIS, 2011)

Incremental two-dimensional two-directional principal component analysis (I(2D)2PCA) for face recognition. - Yonghwa Choi; Takaomi Tokumoto; Minho Lee 001; Seiichi Ozawa (ICASSP, 2011)

A Neural Network Model for Learning Data Stream with Multiple Class Labels. - Tomoyasu Takata; Seiichi Ozawa (ICMLA (2), 2011)

Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition. - Chunyu Liu; Young-Min Jang; Seiichi Ozawa; Minho Lee (IJCNN, 2011)

A fast incremental Kernel Principal Component Analysis for learning stream of data chunks. - Takaomi Tokumoto; Seiichi Ozawa (IJCNN, 2011)

A real-time personal authentication system based on incremental feature extraction and classification of audiovisual information. - Young-Min Jang; Minho Lee; Seiichi Ozawa (Evol. Syst., 2011)

Guest editorial: Evolving autonomous systems under realistic environments. - Seiichi Ozawa; Hisashi Handa (Evol. Syst., 2011)

Radial Basis Function Network for Multitask Pattern Recognition. - Hitoshi Nishikawa; Seiichi Ozawa (Neural Process. Lett., 2011)

A property of learning chunk data using incremental kernel principal component analysis. - Takaomi Tokumoto; Seiichi Ozawa (EAIS, 2012)

A sequential multitask learning algorithm for pattern recognition. - Tomoyasu Takata; Daisuke Higuchi; Seiichi Ozawa (ICDL-EPIROB, 2012)

A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer. - Simeng Yue; Seiichi Ozawa (ICMLA (1), 2012)

Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments. - Annie Anak Joseph; Young-Min Jang; Seiichi Ozawa; Minho Lee 001 (ICONIP (2), 2012)

A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition. - Daisuke Higuchi; Seiichi Ozawa (ICANN, 2013)

A Neural Network Model for Large-Scale Stream Data Learning Using Locally Sensitive Hashing. - Siti Hajar Aminah Ali; Kiminori Fukase; Seiichi Ozawa (ICONIP (1), 2013)

A robust incremental principal component analysis for feature extraction from stream data with missing values. - Daijiro Aoki; Toshiaki Omori; Seiichi Ozawa (IJCNN, 2013)

Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets. - Nobuaki Furutani; Tao Ban; Junji Nakazato; Jumpei Shimamura; Jun Kitazono; Seiichi Ozawa (AsiaJCIS, 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 (CIBD, 2014)

Detecting Malicious Spam Mails: An Online Machine Learning Approach. - Yuli Dai; Shunsuke Tada; Tao Ban; Junji Nakazato; Jumpei Shimamura; Seiichi Ozawa (ICONIP (3), 2014)

A Neural Network Model for Semi-supervised Sequential Multi-task Learning in Multi-label Pattern Recognition Problems. - Daisuke Higuchi; Seiichi Ozawa (IDT/IIMSS/STET, 2014)

A fast Incremental Kernel Principal Component Analysis for data streams. - Annie Anak Joseph; Seiichi Ozawa (IJCNN, 2014)

Incremental two-dimensional kernel principal component analysis. - Yonghwa Choi; Seiichi Ozawa; Minho Lee 001 (Neurocomputing, 2014)

Adaptive DDoS-Event Detection from Big Darknet Traffic Data. - Nobuaki Furutani; Jun Kitazono; Seiichi Ozawa; Tao Ban; Junji Nakazato; Jumpei Shimamura (ICONIP (4), 2015)

An autonomous online malicious spam email detection system using extended RBF network. - Siti Hajar Aminah Ali; Seiichi Ozawa; Junji Nakazato; Tao Ban; Jumpei Shimamura (IJCNN, 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 (INNS Conference on Big Data, 2015)

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. - Jun Kitazono; Nistor Grozavu; Nicoleta Rogovschi; Toshiaki Omori; Seiichi Ozawa (ICONIP (3), 2016)

A neural network model for detecting DDoS attacks using darknet traffic features. - Siti Hajar Aminah Ali; Seiichi Ozawa; Tao Ban; Junji Nakazato; Jumpei Shimamura (IJCNN, 2016)

Stochastic collapsed variational Bayesian inference for biterm topic model. - Narutaka Awaya; Jun Kitazono; Toshiaki Omori; Seiichi Ozawa (IJCNN, 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 (SSCI, 2016)

A fast online learning algorithm of radial basis function network with locality sensitive hashing. - Siti Hajar Aminah Ali; Kiminori Fukase; Seiichi Ozawa (Evol. Syst., 2016)

Online feature extraction based on accelerated kernel principal component analysis for data stream. - Annie Anak Joseph; Takaomi Tokumoto; Seiichi Ozawa (Evol. Syst., 2016)

Multidimensional Unfolding Based on Stochastic Neighbor Relationship. - Naoki Murata; Jun Kitazono; Seiichi Ozawa (ICMLC, 2017)

AI Web-Contents Analyzer for Monitoring Underground Marketplace. - Yuki Kawaguchi; Akira Yamada 001; Seiichi Ozawa (ICONIP (5), 2017)

t-Distributed stochastic neighbor embedding spectral clustering. - Nicoleta Rogovschi; Jun Kitazono; Nistor Grozavu; Toshiaki Omori; Seiichi Ozawa (IJCNN, 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 (IJCNN, 2017)

Privacy preserving extreme learning machine using additively homomorphic encryption. - Shohei Kuri; Takuya Hayashi 001; Toshiaki Omori; Seiichi Ozawa; Yoshinori Aono; Le Trieu Phong; Lihua Wang 001; Shiho Moriai (SSCI, 2017)

Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring. - Igor Skrjanc; Seiichi Ozawa; Dejan Dovzan; Tao Ban; Junji Nakazato; Jumpei Shimamura (SSCI, 2017)

Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption. - Sangwook Kim; Masahiro Omori; Takuya Hayashi 001; Toshiaki Omori; Lihua Wang 001; Seiichi Ozawa (ICONIP (4), 2018)

A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation. - Samuel Ndichu; Seiichi Ozawa; Takeshi Misu; Kouichirou Okada (IJCNN, 2018)

A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning. - Naoki Hashimoto; Seiichi Ozawa; Tao Ban; Junji Nakazato; Jumpei Shimamura (INNS Conference on Big Data, 2018)

An Image Sensing Method to Capture Soybean Growth State for Smart Agriculture Using Single Shot MultiBox Detector. - Kazuki Omura; So Yahata; Seiichi Ozawa; Takenao Ohkawa; Yuya Chonan; Hiroyuki Tsuji; Noriyuki Murakami (SMC, 2018)

Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering. - Igor Skrjanc; Seiichi Ozawa; Tao Ban; Dejan Dovzan (Appl. Soft Comput., 2018)

A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption. - Takehiro Tezuka; Lihua Wang 001; Takuya Hayashi 001; Seiichi Ozawa (ICDM Workshops, 2019)

Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning. - Yuki Kawaguchi; Seiichi Ozawa (ICONIP (3), 2019)

t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations. - Nicoleta Rogovschi; Sarah Zouinina; Basarab Matei; Issam Falih; Nistor Grozavu; Seiichi Ozawa (Aust. J. Intell. Inf. Process. Syst., 2019)

A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors. - Samuel Ndichu; Sangwook Kim; Seiichi Ozawa; Takeshi Misu; Kazuo Makishima (Appl. Soft Comput., 2019)

Editorial: Booming of Neural Networks and Learning Systems. - Akira Hirose 001; Alessio Micheli; Artur S. d'Avila Garcez; Choon Ki Ahn; Gang Pan 001; Hamid Reza Karimi; Jianbing Shen; José de Jesús Rubio; Lei Zhang 005; Lingjia Liu 001; Lorenzo Livi; Nian Zhang; et al. (IEEE Trans. Neural Networks Learn. Syst., 2019)

Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks. - Shintaro Ishikawa; Seiichi Ozawa; Tao Ban (ICONIP (2), 2020)

New Approaches to Federated XGBoost Learning for Privacy-Preserving Data Analysis. - Fuki Yamamoto; Lihua Wang 001; Seiichi Ozawa (ICONIP (2), 2020)

Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields. - Muhammad Taufiq Pratama; Sangwook Kim; Seiichi Ozawa; Takenao Ohkawa; Yuya Chonan; Hiroyuki Tsuji; Noriyuki Murakami (IJCNN, 2020)

Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences. - Muhammad Fakhrur Rozi; Sangwook Kim; Seiichi Ozawa (IJCNN, 2020)

Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement. - Samuel Ndichu; Sangwook Kim; Seiichi Ozawa (CAAI Trans. Intell. Technol., 2020)

A study of IoT malware activities using association rule learning for darknet sensor data. - Seiichi Ozawa; Tao Ban; Naoki Hashimoto; Junji Nakazato; Jumpei Shimamura (Int. J. Inf. Sec., 2020)

JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism. - Muhammad Fakhrur Rozi; Tao Ban; Seiichi Ozawa; Sangwook Kim; Takeshi Takahashi 001; Daisuke Inoue (ICONIP (2), 2021)

Outlier Detection by Privacy-Preserving Ensemble Decision Tree U sing Homomorphic Encryption. - Kengo Itokazu; Lihua Wang 001; Seiichi Ozawa (IJCNN, 2021)

Logo Detection With No Priors. - Diego A. Velázquez; Josep M. Gonfaus; Pau Rodríguez; F. Xavier Roca; Seiichi Ozawa; Jordi Gonzàlez 001 (IEEE Access, 2021)

Permissioned Blockchain-Based XGBoost for Multi Banks Fraud Detection. - Septiviana Savitri Asrori; Lihua Wang 001; Seiichi Ozawa (ICONIP (3), 2022)

Frequency-Based Enhancement Network for Efficient Super-Resolution. - Parichehr Behjati; Pau Rodríguez; Carles Fernández Tena; Armin Mehri; F. Xavier Roca; Seiichi Ozawa; Jordi Gonzàlez 001 (IEEE Access, 2022)

eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees. - Fuki Yamamoto; Seiichi Ozawa; Lihua Wang 001 (IEEE Access, 2022)

Privacy-Preserving Federated Learning for Detecting Fraudulent Financial Transactions in Japanese Banks. - Sachiko Kanamori; Taeko Abe; Takuma Ito; Keita Emura; Lihua Wang 001; Shuntaro Yamamoto; Le Trieu Phong; Kaien Abe; Sangwook Kim; Ryo Nojima; Seiichi Ozawa; Shiho Moriai (J. Inf. Process., 2022)

Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation. - Muhammad Fakhrur Rozi; Tao Ban; Seiichi Ozawa; Akira Yamada 001; Takeshi Takahashi 001; Sangwook Kim; Daisuke Inoue (IEEE Access, 2023)

Researcher Network Visualization Using Matrix Researcher2vec. - Enna Hirata; Takahiro Yamashita; Seiichi Ozawa (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Adversarial Evaluation of AI-Based Security Alert Screening Systems. - Samuel Ndichu; Tao Ban; Takeshi Takahashi 001; Akira Yamada 001; Seiichi Ozawa; Daisuke Inoue (CyberSciTech, 2024)

eFedGauss: A Federated Approach to Fuzzy Multivariate Gaussian Clustering. - Miha Ozbot; Seiichi Ozawa; Igor Skrjanc (FUZZ, 2024)

A Study on Time-Resilient Features for Detecting TLS Encrypted Malware Traffic. - Kaisei Fujiwara; Akira Yamada 001; Seiichi Ozawa; Chanho Park (ICONIP (11), 2024)

Securing Code With Context: Enhancing Vulnerability Detection Through Contextualized Graph Representations. - Muhammad Fakhrur Rozi; Tao Ban; Seiichi Ozawa; Akira Yamada 001; Takeshi Takahashi 001; Daisuke Inoue (IEEE Access, 2024)

Frameworks for Privacy-Preserving Federated Learning. - Le Trieu Phong; Tran Thi Phuong; Lihua Wang 001; Seiichi Ozawa (IEICE Trans. Inf. Syst., 2024)