Japanese version is here.
Learning and Intelligent Systems Research Group
Innovative Communication Laboratory
Communication Science Laboratories
Nippon Telegraph and Telephone Corporation
Selected Journal Papers
Fujino, A., Ueda, N., and Nagata, M. (2013).
Adaptive semi-supervised learning on labeled and unlabeled data with
Knowledge and Information Systems (KAIS), Springer, 37(1), 129-154.
Duh, K. and Fujino, A. (2012).
Flexible sample selection strategies for transfer learning in ranking.
Information Processing and Management (IP&M), Elsevier,
Fujino, A., Ueda, N., and Saito, K. (2008).
Semisupervised learning for a hybrid generative/discriminative classifier based on the maximum entropy principle.
IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI), 30(3), 424-437.
[IEEE Copyright Notice]
Fujino, A., Ueda, N., and Saito, K. (2007).
A hybrid generative/discriminative approach to text classification with additional information.
Information Processing and Management (IP&M), Elsevier, 43(2),
379-392 (invited paper).
Natural Language Processing
Fujita, S. and Fujino, A. (2013).
Word sense disambiguation by combining labeled data expansion and
semi-supervised learning method.
ACM Transactions on Asian Language Information Processing
(TALIP), 12(2), Article No. 7.
Kurasawa, H., Hayashi, K., Fujino, A., Takasugi, K., Haga, T., Waki, K., Noguchi, T., and Ohe, K. (2016).
Machine learning-based prediction of a missed scheduled clinical appointment by patients with diabetes.
Journal of Diabetes Science and Technology, 10(3), 730-736.
Speech Motor Control
Erickson, D., Yoshida, K., Menezes, C., Fujino, A., Mochida, T., and Shibuya, Y. (2006).
Exploratory study of some acoustic and articulatory characteristics of sad speech.
Phonetica, 63(1), 1-25.
Honda, M., Fujino, A. and Kaburagi, T. (2002).
Compensatory responces of articulators to unexpected perturbation of the palate shape.
Journal of Phonetics, 30, 281-302.
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Last update: 2016.5.9 by A.Fujino