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Seiichi Ozawa
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Year
Incremental linear discriminant analysis for classification of data streams
S Pang, S Ozawa, N Kasabov
IEEE transactions on Systems, Man, and Cybernetics, part B (Cybernetics) 35 …, 2005
4332005
Incremental learning of chunk data for online pattern classification systems
S Ozawa, S Pang, N Kasabov
IEEE Transactions on Neural Networks 19 (6), 1061-1074, 2008
1382008
Incremental learning of feature space and classifier for face recognition
S Ozawa, SL Toh, S Abe, S Pang, N Kasabov
Neural Networks 18 (5-6), 575-584, 2005
1272005
Human intention recognition based on eyeball movement pattern and pupil size variation
YM Jang, R Mallipeddi, S Lee, HW Kwak, M Lee
Neurocomputing 128, 421-432, 2014
782014
A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors
S Ndichu, S Kim, S Ozawa, T Misu, K Makishima
Applied Soft Computing 84, 105721, 2019
742019
A multitask learning model for online pattern recognition
S Ozawa, A Roy, D Roussinov
IEEE Transactions on Neural Networks 20 (3), 430-445, 2009
702009
A fast incremental learning algorithm of RBF networks with long-term memory
K Okamato, S Ozawa, S Abe
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
662003
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering
I Škrjanc, S Ozawa, T Ban, D Dovžan
Applied Soft Computing 62, 592-601, 2018
512018
A modified incremental principal component analysis for on-line learning of feature space and classifier
S Ozawa, S Pang, N Kasabov
Pacific Rim International Conference on Artificial Intelligence, 231-240, 2004
512004
A hybrid machine learning approach to automatic plant phenotyping for smart agriculture
S Yahata, T Onishi, K Yamaguchi, S Ozawa, J Kitazono, T Ohkawa, ...
2017 International Joint Conference on Neural Networks (IJCNN), 1787-1793, 2017
502017
Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement
S Ndichu, S Kim, S Ozawa
CAAI Transactions on Intelligence Technology 5 (3), 184-192, 2020
462020
Reducing computations in incremental learning for feedforward neural network with long-term memory
M Kobyashi, A Zamani, S Ozawa, S Abe
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
422001
A study of IoT malware activities using association rule learning for darknet sensor data
S Ozawa, T Ban, N Hashimoto, J Nakazato, J Shimamura
International Journal of Information Security 19, 83-92, 2020
352020
A machine learning approach to malicious JavaScript detection using fixed length vector representation
S Ndichu, S Ozawa, T Misu, K Okada
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
332018
A neural network model for detecting DDoS attacks using darknet traffic features
SHA Ali, S Ozawa, T Ban, J Nakazato, J Shimamura
2016 International joint conference on neural networks (IJCNN), 2979-2985, 2016
332016
Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems
M Hisada, S Ozawa, K Zhang, N Kasabov
Evolving Systems 1, 17-27, 2010
332010
An incremental learning algorithm of ensemble classifier systems
T Kidera, S Ozawa, S Abe
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
322006
Online feature extraction based on accelerated kernel principal component analysis for data stream
AA Joseph, T Tokumoto, S Ozawa
Evolving Systems 7, 15-27, 2016
312016
Incremental learning for online face recognition
S Ozawa, SL Toh, S Abe, S Pang, N Kasabov
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
312005
Incremental two-dimensional two-directional principal component analysis (I(2D)2PCA) for face recognition
Y Choi, T Tokumoto, M Lee, S Ozawa
2011 IEEE international conference on acoustics, speech and signal …, 2011
302011
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Articles 1–20