Seiichi Ozawa

According to our database1, Seiichi Ozawa authored at least 92 papers between 1995 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2020
A study of IoT malware activities using association rule learning for darknet sensor data.
Int. J. Inf. Sec., 2020

2019
Editorial: Booming of Neural Networks and Learning Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors.
Appl. Soft Comput., 2019

t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations.
Aust. J. Intell. Inf. Process. Syst., 2019

Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering.
Appl. Soft Comput., 2018

An Image Sensing Method to Capture Soybean Growth State for Smart Agriculture Using Single Shot MultiBox Detector.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Evolving cauchy possibilistic clustering and its application to large-scale cyberattack monitoring.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Privacy preserving extreme learning machine using additively homomorphic encryption.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A hybrid machine learning approach to automatic plant phenotyping for smart agriculture.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

t-Distributed stochastic neighbor embedding spectral clustering.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

AI Web-Contents Analyzer for Monitoring Underground Marketplace.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Multidimensional Unfolding Based on Stochastic Neighbor Relationship.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016
Online feature extraction based on accelerated kernel principal component analysis for data stream.
Evolving Systems, 2016

A fast online learning algorithm of radial basis function network with locality sensitive hashing.
Evolving Systems, 2016

A sentiment polarity prediction model using transfer learning and its application to SNS flaming event detection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Stochastic collapsed variational Bayesian inference for biterm topic model.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A neural network model for detecting DDoS attacks using darknet traffic features.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom.
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.
Proceedings of the INNS Conference on Big Data 2015, 2015

An autonomous online malicious spam email detection system using extended RBF network.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive DDoS-Event Detection from Big Darknet Traffic Data.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Incremental two-dimensional kernel principal component analysis.
Neurocomputing, 2014

A fast Incremental Kernel Principal Component Analysis for data streams.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Neural Network Model for Semi-supervised Sequential Multi-task Learning in Multi-label Pattern Recognition Problems.
Proceedings of the Smart Digital Futures 2014, 2014

Detecting Malicious Spam Mails: An Online Machine Learning Approach.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Sentiment analysis for various SNS media using Naïve Bayes classifier and its application to flaming detection.
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.
Proceedings of the Ninth Asia Joint Conference on Information Security, 2014

2013
A robust incremental principal component analysis for feature extraction from stream data with missing values.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Neural Network Model for Large-Scale Stream Data Learning Using Locally Sensitive Hashing.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A sequential multitask learning algorithm for pattern recognition.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

A property of learning chunk data using incremental kernel principal component analysis.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Radial Basis Function Network for Multitask Pattern Recognition.
Neural Processing Letters, 2011

Guest editorial: Evolving autonomous systems under realistic environments.
Evolving Systems, 2011

A real-time personal authentication system based on incremental feature extraction and classification of audiovisual information.
Evolving Systems, 2011

A fast incremental Kernel Principal Component Analysis for learning stream of data chunks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Neural Network Model for Learning Data Stream with Multiple Class Labels.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Incremental two-dimensional two-directional principal component analysis (I(2D)2PCA) for face recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Incremental recursive fisher linear discriminant for online feature extraction.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

2010
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks.
J. Intell. Learn. Syst. Appl., 2010

Fast Variable Selection by Block Addition and Block Deletion.
J. Intell. Learn. Syst. Appl., 2010

Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems.
Evolving Systems, 2010

A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

A Real-Time Personal Authentication System with Selective Attention and Incremental Learning Mechanism in Feature Extraction and Classifier.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A Multitask Learning Model for Online Pattern Recognition.
IEEE Trans. Neural Networks, 2009

Tuning membership functions of kernel fuzzy classifiers by maximizing margins.
Memetic Comput., 2009

A Reinforcement Learning Model Using Macro-actions in Multi-task Grid-World Problems.
Proceedings of the IEEE International Conference on Systems, 2009

Curiosity driven incremental LDA agent active learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

Adaptive incremental principal component analysis in nonstationary online learning environments.
Proceedings of the International Joint Conference on Neural Networks, 2009

An incremental learning algorithm of Recursive Fisher Linear Discriminant.
Proceedings of the International Joint Conference on Neural Networks, 2009

An Autonomous Learning Algorithm of Resource Allocating Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Incremental Learning of Chunk Data for Online Pattern Classification Systems.
IEEE Trans. Neural Networks, 2008

Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Neural Network Model for Sequential Multitask Pattern Recognition Problems.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Incremental Learning for Multitask Pattern Recognition Problems.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition.
IEICE Trans. Inf. Syst., 2007

An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2007

Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Incremental learning of feature space and classifier for on-line pattern recognition.
KES Journal, 2006

An Incremental Learning Algorithm of Ensemble Classifier Systems.
Proceedings of the International Joint Conference on Neural Networks, 2006

An Incremental Principal Component Analysis for Chunk Data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Incremental linear discriminant analysis for classification of data streams.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Feature Extraction Using Independent Components of Each Category.
Neural Processing Letters, 2005

Incremental learning of feature space and classifier for face recognition.
Neural Networks, 2005

Chunk Incremental LDA Computing on Data Streams.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Incremental Kernel PCA for Online Learning of Feature Space.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Detection of gas leakage sound using modular neural networks for unknown environments.
Neurocomputing, 2004

A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Supervised Independent Component Analysis with Class Information.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

One-Pass Incremental Membership Authentication by Face Classification.
Proceedings of the Biometric Authentication, First International Conference, 2004

A memory-based neural network model for efficient adaptation to dynamic environments.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Reinforcement Learning Using RBF Networks with Memory Mechanism.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2000
Training Three-Layer Neural Network Classifiers by Solving Inequalities.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics.
Neural Processing Letters, 1999

Evolution of a dynamical modular neural network and its application to associative memories.
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

Emergence of feature extraction function using genetic programming.
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

Application of independent component analysis to handwritten Japanese character recognition.
Proceedings of the International Joint Conference Neural Networks, 1999

Application of independent component analysis to feature extraction of speech.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
An artificial modular neural network and its basic dynamical characteristics.
Biological Cybernetics, 1998

Design of Modular Neural Network Architectures Using Genetic Algorithms.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1995
A multimodule neural network model and the estimate of its nature as associative memory.
Systems and Computers in Japan, 1995


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