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 | 419 | 2005 |
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 | 133 | 2008 |
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 | 121 | 2005 |
A multitask learning model for online pattern recognition S Ozawa, A Roy, D Roussinov IEEE Transactions on Neural Networks 20 (3), 430-445, 2009 | 68 | 2009 |
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 | 65 | 2019 |
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 | 65 | 2003 |
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 | 63 | 2014 |
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 | 49 | 2004 |
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 | 47 | 2017 |
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 | 45 | 2018 |
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 | 41 | 2020 |
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 | 41 | 2001 |
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 | 32 | 2010 |
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 | 31 | 2016 |
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 | 31 | 2006 |
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 | 31 | 2005 |
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 | 30 | 2020 |
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 | 30 | 2011 |
Emergence of feature extraction function using genetic programming M Kotani, S Ozawa, M Nakai, K Akazawa 1999 Third International Conference on Knowledge-Based Intelligent …, 1999 | 29 | 1999 |
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 | 28 | 2016 |