Seiichi Ozawa

136 papers B 36C 4Misc 2Journal 36Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
CIC-YNU-IoTMal: A comprehensive multilayer dataset for static and dynamic analysis of IoT malware behavior.
Inf. Syst.
Sajjad Dadkhah, Ogobuchi Daniel Okey, Sebin Abraham Maret, Yen-Wu Lo, Amir Firouzi, Ryu Kuki, Takayuki Sasaki, Katsunari Yoshioka, Tao Ban, Seiichi Ozawa, Ali A. Ghorbani
2025 C conf
FragmentFool: Fragment-based Adversarial Perturbation for Graph Neural Network-based Vulnerability Detection.
PST
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Hiroaki Inoue, Takeshi Takahashi, Sajjad Dadkhah
2025 — conf
Unsupervised Federated Learning Based on Evolving Gaussian Clustering.
FUZZ
Miha Ozbot, Seiichi Ozawa, Igor Skrjanc
2024 — conf
A Study on Time-Resilient Features for Detecting TLS Encrypted Malware Traffic.
ICONIP (11)
Kaisei Fujiwara, Akira Yamada, Seiichi Ozawa, Chanho Park
2024 — conf
Adversarial Evaluation of AI-Based Security Alert Screening Systems.
CyberSciTech
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Akira Yamada, Seiichi Ozawa, Daisuke Inoue
2024 J jnl
Frameworks for Privacy-Preserving Federated Learning.
IEICE Trans. Inf. Syst.
Le Trieu Phong, Tran Thi Phuong, Lihua Wang, Seiichi Ozawa
2024 J jnl
Securing Code With Context: Enhancing Vulnerability Detection Through Contextualized Graph Representations.
IEEE Access
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Daisuke Inoue
2024 — conf
eFedGauss: A Federated Approach to Fuzzy Multivariate Gaussian Clustering.
FUZZ
Miha Ozbot, Seiichi Ozawa, Igor Skrjanc
2023 J jnl
Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation.
IEEE Access
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Sangwook Kim, Daisuke Inoue
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I
ICONIP (1)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II
ICONIP (2)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III
ICONIP (3)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV
ICONIP (4)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V
ICONIP (5)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI
ICONIP (6)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 — ed.
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII
ICONIP (7)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
2023 J jnl
Researcher Network Visualization Using Matrix Researcher2vec.
J. Adv. Comput. Intell. Intell. Informatics
Enna Hirata, Takahiro Yamashita, Seiichi Ozawa
2022 J jnl
Frequency-Based Enhancement Network for Efficient Super-Resolution.
IEEE Access
Parichehr Behjati, Pau Rodríguez, Carles Fernández Tena, Armin Mehri, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
2022 — conf
Permissioned Blockchain-Based XGBoost for Multi Banks Fraud Detection.
ICONIP (3)
Septiviana Savitri Asrori, Lihua Wang, Seiichi Ozawa
2022 J jnl
Privacy-Preserving Federated Learning for Detecting Fraudulent Financial Transactions in Japanese Banks.
J. Inf. Process.
Sachiko Kanamori, Taeko Abe, Takuma Ito, Keita Emura, Lihua Wang, Shuntaro Yamamoto, Le Trieu Phong, Kaien Abe, Sangwook Kim, Ryo Nojima, Seiichi Ozawa, Shiho Moriai
2022 J jnl
eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees.
IEEE Access
Fuki Yamamoto, Seiichi Ozawa, Lihua Wang
2021 — conf
JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism.
ICONIP (2)
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Sangwook Kim, Takeshi Takahashi, Daisuke Inoue
2021 J jnl
Logo Detection With No Priors.
IEEE Access
Diego A. Velázquez, Josep M. Gonfaus, Pau Rodríguez, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
2021 B conf
Outlier Detection by Privacy-Preserving Ensemble Decision Tree U sing Homomorphic Encryption.
IJCNN
Kengo Itokazu, Lihua Wang, Seiichi Ozawa
2020 J jnl
A study of IoT malware activities using association rule learning for darknet sensor data.
Int. J. Inf. Sec.
Seiichi Ozawa, Tao Ban, Naoki Hashimoto, Junji Nakazato, Jumpei Shimamura
2020 B conf
Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields.
IJCNN
Muhammad Taufiq Pratama, Sangwook Kim, Seiichi Ozawa, Takenao Ohkawa, Yuya Chonan, Hiroyuki Tsuji, Noriyuki Murakami
2020 B conf
Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences.
IJCNN
Muhammad Fakhrur Rozi, Sangwook Kim, Seiichi Ozawa
2020 J jnl
Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement.
CAAI Trans. Intell. Technol.
Samuel Ndichu, Sangwook Kim, Seiichi Ozawa
2020 — conf
New Approaches to Federated XGBoost Learning for Privacy-Preserving Data Analysis.
ICONIP (2)
Fuki Yamamoto, Lihua Wang, Seiichi Ozawa
2020 — conf
Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks.
ICONIP (2)
Shintaro Ishikawa, Seiichi Ozawa, Tao Ban
2019 — conf
A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption.
ICDM Workshops
Takehiro Tezuka, Lihua Wang, Takuya Hayashi, Seiichi Ozawa
2019 J jnl
A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors.
Appl. Soft Comput.
Samuel Ndichu, Sangwook Kim, Seiichi Ozawa, Takeshi Misu, Kazuo Makishima
2019 J jnl
Editorial: Booming of Neural Networks and Learning Systems.
IEEE Trans. Neural Networks Learn. Syst.
Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He
2019 — conf
Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning.
ICONIP (3)
Yuki Kawaguchi, Seiichi Ozawa
2019 J jnl
t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations.
Aust. J. Intell. Inf. Process. Syst.
Nicoleta Rogovschi, Sarah Zouinina, Basarab Matei, Issam Falih, Nistor Grozavu, Seiichi Ozawa
2018 — conf
A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning.
INNS Conference on Big Data
Naoki Hashimoto, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
2018 B conf
A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation.
IJCNN
Samuel Ndichu, Seiichi Ozawa, Takeshi Misu, Kouichirou Okada
2018 B conf
An Image Sensing Method to Capture Soybean Growth State for Smart Agriculture Using Single Shot MultiBox Detector.
SMC
Kazuki Omura, So Yahata, Seiichi Ozawa, Takenao Ohkawa, Yuya Chonan, Hiroyuki Tsuji, Noriyuki Murakami
2018 — ed.
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018
INNS Conference on Big Data
Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama
2018 J jnl
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering.
Appl. Soft Comput.
Igor Skrjanc, Seiichi Ozawa, Tao Ban, Dejan Dovzan
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I
ICONIP (1)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part II
ICONIP (2)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III
ICONIP (3)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV
ICONIP (4)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V
ICONIP (5)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VI
ICONIP (6)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — ed.
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VII
ICONIP (7)
Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa
2018 — conf
Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption.
ICONIP (4)
Sangwook Kim, Masahiro Omori, Takuya Hayashi, Toshiaki Omori, Lihua Wang, Seiichi Ozawa
2017 B conf
A hybrid machine learning approach to automatic plant phenotyping for smart agriculture.
IJCNN
So Yahata, Tetsu Onishi, Kanta Yamaguchi, Seiichi Ozawa, Jun Kitazono, Takenao Ohkawa, Takeshi Yoshida, Noriyuki Murakami, Hiroyuki Tsuji
2017 — conf
AI Web-Contents Analyzer for Monitoring Underground Marketplace.
ICONIP (5)
Yuki Kawaguchi, Akira Yamada, Seiichi Ozawa
2017 — conf
Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring.
SSCI
Igor Skrjanc, Seiichi Ozawa, Dejan Dovzan, Tao Ban, Junji Nakazato, Jumpei Shimamura
2017 Misc conf
Multidimensional Unfolding Based on Stochastic Neighbor Relationship.
ICMLC
Naoki Murata, Jun Kitazono, Seiichi Ozawa
2017 — conf
Privacy preserving extreme learning machine using additively homomorphic encryption.
SSCI
Shohei Kuri, Takuya Hayashi, Toshiaki Omori, Seiichi Ozawa, Yoshinori Aono, Le Trieu Phong, Lihua Wang, Shiho Moriai
2017 B conf
t-Distributed stochastic neighbor embedding spectral clustering.
IJCNN
Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa
2016 J jnl
A fast online learning algorithm of radial basis function network with locality sensitive hashing.
Evol. Syst.
Siti Hajar Aminah Ali, Kiminori Fukase, Seiichi Ozawa
2016 B conf
A neural network model for detecting DDoS attacks using darknet traffic features.
IJCNN
Siti Hajar Aminah Ali, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
2016 — conf
A sentiment polarity prediction model using transfer learning and its application to SNS flaming event detection.
SSCI
Seiichi Ozawa, Shun Yoshida, Jun Kitazono, Takahiro Sugawara, Tatsuya Haga
2016 — ed.
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I
ICONIP (1)
Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu
2016 — ed.
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II
ICONIP (2)
Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu
2016 — ed.
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III
ICONIP (3)
Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu
2016 — ed.
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part IV
ICONIP (4)
Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu
2016 J jnl
Online feature extraction based on accelerated kernel principal component analysis for data stream.
Evol. Syst.
Annie Anak Joseph, Takaomi Tokumoto, Seiichi Ozawa
2016 B conf
Stochastic collapsed variational Bayesian inference for biterm topic model.
IJCNN
Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa
2016 — conf
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom.
ICONIP (3)
Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa
2015 — conf
Adaptive DDoS-Event Detection from Big Darknet Traffic Data.
ICONIP (4)
Nobuaki Furutani, Jun Kitazono, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura
2015 B conf
An autonomous online malicious spam email detection system using extended RBF network.
IJCNN
Siti Hajar Aminah Ali, Seiichi Ozawa, Junji Nakazato, Tao Ban, Jumpei Shimamura
2015 — conf
Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features.
INNS Conference on Big Data
Hironori Nishikaze, Seiichi Ozawa, Jun Kitazono, Tao Ban, Junji Nakazato, Jumpei Shimamura
2014 — conf
A Neural Network Model for Semi-supervised Sequential Multi-task Learning in Multi-label Pattern Recognition Problems.
IDT/IIMSS/STET
Daisuke Higuchi, Seiichi Ozawa
2014 B conf
A fast Incremental Kernel Principal Component Analysis for data streams.
IJCNN
Annie Anak Joseph, Seiichi Ozawa
2014 — conf
Detecting Malicious Spam Mails: An Online Machine Learning Approach.
ICONIP (3)
Yuli Dai, Shunsuke Tada, Tao Ban, Junji Nakazato, Jumpei Shimamura, Seiichi Ozawa
2014 — conf
Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets.
AsiaJCIS
Nobuaki Furutani, Tao Ban, Junji Nakazato, Jumpei Shimamura, Jun Kitazono, Seiichi Ozawa
2014 J jnl
Incremental two-dimensional kernel principal component analysis.
Neurocomputing
Yonghwa Choi, Seiichi Ozawa, Minho Lee
2014 — conf
Sentiment analysis for various SNS media using Naïve Bayes classifier and its application to flaming detection.
CIBD
Shun Yoshida, Jun Kitazono, Seiichi Ozawa, Takahiro Sugawara, Tatsuya Haga, Shogo Nakamura
2013 — conf
A Neural Network Model for Large-Scale Stream Data Learning Using Locally Sensitive Hashing.
ICONIP (1)
Siti Hajar Aminah Ali, Kiminori Fukase, Seiichi Ozawa
2013 C conf
A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition.
ICANN
Daisuke Higuchi, Seiichi Ozawa
2013 B conf
A robust incremental principal component analysis for feature extraction from stream data with missing values.
IJCNN
Daijiro Aoki, Toshiaki Omori, Seiichi Ozawa
2012 — conf
A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer.
ICMLA (1)
Simeng Yue, Seiichi Ozawa
2012 — conf
A property of learning chunk data using incremental kernel principal component analysis.
EAIS
Takaomi Tokumoto, Seiichi Ozawa
2012 — conf
A sequential multitask learning algorithm for pattern recognition.
ICDL-EPIROB
Tomoyasu Takata, Daisuke Higuchi, Seiichi Ozawa
2012 — conf
Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments.
ICONIP (2)
Annie Anak Joseph, Young-Min Jang, Seiichi Ozawa, Minho Lee
2011 — conf
A Neural Network Model for Learning Data Stream with Multiple Class Labels.
ICMLA (2)
Tomoyasu Takata, Seiichi Ozawa
2011 B conf
A fast incremental Kernel Principal Component Analysis for learning stream of data chunks.
IJCNN
Takaomi Tokumoto, Seiichi Ozawa
2011 J jnl
A real-time personal authentication system based on incremental feature extraction and classification of audiovisual information.
Evol. Syst.
Young-Min Jang, Minho Lee, Seiichi Ozawa
2011 J jnl
Guest editorial: Evolving autonomous systems under realistic environments.
Evol. Syst.
Seiichi Ozawa, Hisashi Handa
2011 B conf
Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition.
IJCNN
Chunyu Liu, Young-Min Jang, Seiichi Ozawa, Minho Lee
2011 — conf
Incremental recursive fisher linear discriminant for online feature extraction.
EAIS
Seiichi Ozawa, Ryohei Ohta
2011 Misc conf
Incremental two-dimensional two-directional principal component analysis (I(2D)
ICASSP
Yonghwa Choi, Takaomi Tokumoto, Minho Lee, Seiichi Ozawa
2011 J jnl
Radial Basis Function Network for Multitask Pattern Recognition.
Neural Process. Lett.
Hitoshi Nishikawa, Seiichi Ozawa
2010 B conf
A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction.
PRICAI
Seiichi Ozawa, Yohei Takeuchi, Shigeo Abe
2010 B conf
A Real-Time Personal Authentication System with Selective Attention and Incremental Learning Mechanism in Feature Extraction and Classifier.
PRICAI
Young-Min Jang, Seiichi Ozawa, Minho Lee
2010 J jnl
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks.
J. Intell. Learn. Syst. Appl.
Seiichi Ozawa, Toshihisa Tabuchi, Sho Nakasaka, Asim Roy
2010 B conf
An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition.
IJCNN
Seiichi Ozawa, Sho Nakasaka, Asim Roy
2010 J jnl
Fast Variable Selection by Block Addition and Block Deletion.
J. Intell. Learn. Syst. Appl.
Takashi Nagatani, Seiichi Ozawa, Shigeo Abe
2010 J jnl
Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems.
Evol. Syst.
Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Nikola K. Kasabov
2009 J jnl
A Multitask Learning Model for Online Pattern Recognition.
IEEE Trans. Neural Networks
Seiichi Ozawa, Asim Roy, Dmitri Roussinov
2009 B conf
A Reinforcement Learning Model Using Macro-actions in Multi-task Grid-World Problems.
SMC
Seiichi Ozawa, Hiroshi Onda
2009 B conf
Adaptive incremental principal component analysis in nonstationary online learning environments.
IJCNN
Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola K. Kasabov
2009 C conf
An Autonomous Learning Algorithm of Resource Allocating Network.
IDEAL
Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy
2009 — conf
An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression.
ICONIP (1)
Seiichi Ozawa, Keisuke Okamoto
2009 B conf
An incremental learning algorithm of Recursive Fisher Linear Discriminant.
IJCNN
Ryohei Ohta, Seiichi Ozawa
2009 B conf
Curiosity driven incremental LDA agent active learning.
IJCNN
Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2009 J jnl
Tuning membership functions of kernel fuzzy classifiers by maximizing margins.
Memetic Comput.
Kazuya Morikawa, Seiichi Ozawa, Shigeo Abe
2008 — conf
A Neural Network Model for Sequential Multitask Pattern Recognition Problems.
ICONIP (1)
Hitoshi Nishikawa, Seiichi Ozawa, Asim Roy
2008 — conf
A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems.
ICONIP (1)
Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola K. Kasabov
2008 C conf
Incremental Learning for Multitask Pattern Recognition Problems.
ICMLA
Seiichi Ozawa, Asim Roy
2008 J jnl
Incremental Learning of Chunk Data for Online Pattern Classification Systems.
IEEE Trans. Neural Networks
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2008 — conf
Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio.
ICONIP (1)
Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola K. Kasabov
2007 J jnl
A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition.
IEICE Trans. Inf. Syst.
Shinji Kita, Seiichi Ozawa, Satoshi Maekawa, Shigeo Abe
2007 — conf
Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis.
ICONIP (2)
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2007 B conf
An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection.
IJCNN
Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe
2006 B conf
An Incremental Learning Algorithm of Ensemble Classifier Systems.
IJCNN
Takuya Kidera, Seiichi Ozawa, Shigeo Abe
2006 B conf
An Incremental Principal Component Analysis for Chunk Data.
FUZZ-IEEE
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2006 J jnl
Incremental learning of feature space and classifier for on-line pattern recognition.
Int. J. Knowl. Based Intell. Eng. Syst.
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2005 — conf
Chunk Incremental LDA Computing on Data Streams.
ISNN (2)
Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2005 J jnl
Feature Extraction Using Independent Components of Each Category.
Neural Process. Lett.
Manabu Kotani, Seiichi Ozawa
2005 — conf
Incremental Kernel PCA for Online Learning of Feature Space.
CIMCA/IAWTIC
Shosuke Kimura, Seiichi Ozawa, Shigeo Abe
2005 B conf
Incremental learning for online face recognition.
IJCNN
Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov
2005 J jnl
Incremental learning of feature space and classifier for face recognition.
Neural Networks
Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov
2005 J jnl
Incremental linear discriminant analysis for classification of data streams.
IEEE Trans. Syst. Man Cybern. Part B
Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2004 B conf
A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier.
PRICAI
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2004 B conf
A memory-based neural network model for efficient adaptation to dynamic environments.
FUZZ-IEEE
Seiichi Ozawa, Kenji Tsumori
2004 J jnl
Detection of gas leakage sound using modular neural networks for unknown environments.
Neurocomputing
Manabu Kotani, Masanori Katsura, Seiichi Ozawa
2004 — conf
One-Pass Incremental Membership Authentication by Face Classification.
ICBA
Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2004 B conf
Supervised Independent Component Analysis with Class Information.
ICONIP
Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa
2003 B conf
A fast incremental learning algorithm of RBF networks with long-term memory.
IJCNN
Keisuke Okamoto, Seiichi Ozawa, Shigeo Abe
2003 B conf
Incremental learning in dynamic environments using neural network with long-term memory.
IJCNN
Kenji Tsumori, Seiichi Ozawa
2003 B conf
Reinforcement Learning Using RBF Networks with Memory Mechanism.
KES
Seiichi Ozawa, Naoto Shiraga
2000 — conf
Training Three-Layer Neural Network Classifiers by Solving Inequalities.
IJCNN (3)
Naoki Tsuchiya, Seiichi Ozawa, Shigeo Abe
1999 J jnl
A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics.
Neural Process. Lett.
Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba
1999 B conf
Application of independent component analysis to feature extraction of speech.
IJCNN
Manabu Kotani, Yasunobu Shirata, Satoshi Maekawa, Seiichi Ozawa, Kenzo Akazawa
1999 B conf
Application of independent component analysis to handwritten Japanese character recognition.
IJCNN
Seiichi Ozawa, Toshihide Tsujimoto, Manabu Kotani, Norio Baba
1999 B conf
Emergence of feature extraction function using genetic programming.
KES
Manabu Kotani, Seiichi Ozawa, Masaki Nakai, Kenzo Akazawa
1999 B conf
Evolution of a dynamical modular neural network and its application to associative memories.
KES
Seiichi Ozawa, K. Tsutumi, Norio Baba
1998 J jnl
An artificial modular neural network and its basic dynamical characteristics.
Biol. Cybern.
Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba
1998 B conf
Design of Modular Neural Network Architectures Using Genetic Algorithms.
ICONIP
Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba
1995 J jnl
A multimodule neural network model and the estimate of its nature as associative memory.
Syst. Comput. Jpn.
Seiichi Ozawa, Kazuyoshi Tsutsumi