• Yudistira, Novanto, and Takio Kurita. “Deep Packet Flow: Action Recognition via Multiresolution Deep Wavelet Packet of Local Dense Optical Flows.” Journal of Signal Processing Systems91.6 (2019): 609-625.
  • Sabri, Motaz, and Takio Kurita. “Facial expression intensity estimation using Siamese and triplet networks.” Neurocomputing313 (2018): 143-154.
  • 井手秀徳, & 栗田多喜夫. (2018). CNN における ReLU 活性化関数に対するスパース正則化の適用と分析. 電子情報通信学会論文誌 D101(8), 1110-1119.
  • Yudistira, Novanto, and Takio Kurita. “Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning.” EURASIP Journal on Image and Video Processing 2017.1 (2017): 85.
  • Sabri, Motaz, and Takio Kurita. “Effect of additive noise for multi-layered perceptron with autoencoders.” IEICE TRANSACTIONS on Information and Systems 100.7 (2017): 1494-1504.
  • SABRI, Motaz, and Takio KURITA. “Improvement of Feature Localization for Facial Expressions by Adding Noise.” International Journal of Affective Engineering 17.1 (2017): 27-37.

  • 野口 祥宏, 嶋田 敬士, マノジ ペレラ, 栗田 多喜夫, “人物画像認識による来場者モニタリング,’’ 精密工学会誌, Vol.80, No.1, pp.89-93, 2014.
  • 田辺 和俊, 栗田 多喜夫, 西田 健次, 鈴木 孝弘、“サポートベクター回帰を用いた158カ国の国債格付けの再現,’’ 情報知識学会誌, Vol. 23 (2013) No. 1, pp. 70-91. 

・X. Y. Guo, C. Muraki Asano, A. Asano, and T. Kurita, “Modeling the Perception of Visual Complexity in Texture Images,” International Journal of Affective Engineering, vol. 12, no. 2, pp.223-231, 2013. 

・Tanabe, Kazutoshi, Suzuki, Takahiro, Kurita, Takio, Nishida, Kenji, Lucic, Bono, Amic, Dragan, “Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models,’’ the Journal of Chemical Information and Modeling (SAR QSAR Environ Res. 2013 Jan 25. DOI:10.1080/1062936X.2012.762425 [Epub ahead of print]) 

・Keiji Shimada, Yoshihiro Noguchi, and Takio Kuria, “Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines,”International Journal of Computer Theory and Engineering, vol.5, no.1, pp.24-30, 2013. 

・Lei Yang, Akira Asano, Liang Li, Chie Muraki Asano, Takio Kurita, “Multi-structural texture analysis using mathematical morphology, ” IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E95-A, No.10, pp.1759-1767, 2012.10. 

・Xinoying Guo, Chie Muraki Asano, Akira Asano, Takio Kurita, and Liang Li, “ Analysis of the texture characteristics associated with visual complexity perception, Optical Review, Vol.19, no.5, pp.306-314, 2012.10. 

・Tsuchiya, C., Tanaka, S., Furusho, H., Nishida, K., and Kurita, T.: Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System, SAE International Journal of Passenger Cars – Electron. Electr. Syst. 5(1), pp.146-153, 2012. doi:10.4271/2012-01-0293 

・Kenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, and Takio Kurita, “Automatic Analysis of Composite Physical Signals using Non-negative Factorization and Information Criterion,” PLoS ONE,Vol.7, No.3, e32352, March 2012. 

・M. S. Kavitha, A. Asano, A. Taguchi, T. Kurita, and M. Sanada, Diagnosis of Osteoporosis on Dental Panoramic Radiographs using Support Vector Machine in Computer-Aided system, BMC Medical Imaging 2012, 12:1 

・Tetsu Matsukawa, and Takio Kurita, “Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images,” Pattern Recognition (February 2012), 45 (2), pg. 707-719. 

・Rameswar Debnath, Haruhisa Takahashi and Takio Kurita, “A comparison of SVM-based evolutionary methods for multicategory cancer diagnosis using microarray gene expression data,” Journal of Systemics, Cybernatics and Informatics, vol. 9, no. 6, pp. 63-68, 2011. 

・田辺和俊、栗田多喜夫、西田健次、鈴木孝弘、“サポートベクターマシンを用いた企業の信用格付けの予測,” Journal of the Japan Society for Management Information, Vol.20, No.1, pp.23-38, 2011.06. 

・K.Tanabe, B.Lucic, D.Amic, T.Kurita, M.Kaihara, N.Onodera, T.Suzuki “Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling,” Molecular Diversity, Vol.14, No.4, pp.789-802, 2010.11. 

・T.Matsukawa and T.Kurita, “Extraction of combined features from global/local statistics of visual words using relevant operations,” IEICE Trans. On Information and Systems, Vol.E93-D, No.10, pp.2870-2871, 2010.10.