| 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 | 444 | 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 | 140 | 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 | 126 | 2005 |
| 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 | 83 | 2019 |
| 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 | 80 | 2014 |
| A multitask learning model for online pattern recognition S Ozawa, A Roy, D Roussinov IEEE Transactions on Neural Networks 20 (3), 430-445, 2009 | 71 | 2009 |
| 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 | 67 | 2003 |
| 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 | 55 | 2018 |
| 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 | 54 | 2017 |
| 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 | 52 | 2004 |
| 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 | 50 | 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 | 42 | 2001 |
| 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 | 41 | 2018 |
| 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 | 38 | 2020 |
| eFL-Boost: Efficient federated learning for gradient boosting decision trees F Yamamoto, S Ozawa, L Wang Ieee Access 10, 43954-43963, 2022 | 35 | 2022 |
| 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 | 34 | 2016 |
| 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 | 34 | 2010 |
| Sentiment analysis for various SNS media using Naïve Bayes classifier and its application to flaming detection S Yoshida, J Kitazono, S Ozawa, T Sugawara, T Haga, S Nakamura 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 1-6, 2014 | 33 | 2014 |
| 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 | 33 | 2006 |
| 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 | 31 | 2011 |
Prof. Nikola Kasabov, LFIEEE, FRSNZ,...Knowledgeengineering.ai, Auckland University of Technology; IICT Bulgarian Academy of SciencesZweryfikowany adres z aut.ac.nz