W. Zheng, M. Jin (2022). A Review on Authorship Attribution in Text Mining, WIREs Computational Statistics, 2022/4/4,First published: 22 April 2022, https://doi.org/10.1002/wics.1584, accepted.
W. Zheng, M. Jin (2022). Improving the Performance of Feature Selection Methods with Low-sample Data. The Computer Journal, 2022/2/27,https://doi.org/10.1093/comjnl/bxac033,Published:09 April 2022, accepted.
X. Liu, M. Jin (2022), A Corpus-based Approach to Explore the Stylistic Peculiarity of Koji Uno's Postwar Works, DSH: Digital Scholarship in the Humanities. 37(1), 168–184, April 2022/3/23, https://doi.org/10.1093/llc/fqab029, *refereed
2021年度
Y. Chen, W. Zheng, M. Jin(2021). The Effectiveness of the Maximal Information Coefficients in Real-World Classification Tasks, THE HARRIS SCIENCE REVIEW OF DOSHISHA UNIVERSITY, 62(3),17-24. 査読あり
W. Zheng and M. Jin (2020). A fast class noise detector with multi-factor-based learning, 9th International Conference on Computational Data and Social Networks, Online. Springer, 14-25. *refereed
R. Yukimura, H. Sun and M. Jin (2020). Feature Analysis of Paintings Using Color Information of the Image. Digital humanities austria 2018 empowering researchers, 54-61. doi: https://epub.oeaw.ac.at/?arp=0x003b3d14. *refereed
W. Zheng, M. Jin (2020). Comparing Multiple Categories of Feature Selection Methods for Text Classification. Digital Scholarship in the Humanities, Volume 35, Issue 1, 208-224, April 2020, https://doi.org/10.1093/llc/fqz003. *refereed
H. Sun and M. Jin (2018). Collaborative writing of Yasunari Kawabata's novel Otome no minato. Structure, Function and Process in Texts, 116-127, RAM-Verlag Publishing. 査読あり
W. Zheng and M. Jin (2018). A comparative study of feature selection methods. International Journal on Natural Language Computing, 7(5), 1-9. *refereed
H. Sun and M. Jin (2017). Verifying the authorshipication of the Yasunari Kawabata’s novel: the sound of the mountain. Journal of Mathematics and System Science, 7,127-141.
H. Sun and M. Jin (2016). The relation between stylometrics and neuroscience. Neuroscience and Biomedical Engineering. 4(3), 174-180.
W. Zaitsu and M. Jin (2016). Stylometric analysis for case linkage of Japanese communications from criminals: Distinguishing originals from copycats. International Journal of Police Science & Management, 18(1), 21-27.
Y. Chen, W. Zheng and M. Jin(2020). The Effectiveness of Maximal Information Coefficient in Real-world Classification Tasks. 日本分類学会第39回大会予稿集,13-16. 11/7,オンライン.
2020年度
G. Li and M. Jin (2020). Diachronic changes of sentence-final expression in modern Japanese novels, International conference on Language and Literature 2020,Jan.15-17,International Islamic University Malaysia, Selangor, Malaysia. *refereed
H. Sun and M. Jin (2020). Ghostwriting Analysis Using Outlier Detection methods Language and literature 2020, Jan.15-17,International Islamic University Malaysia, Selangor, Malaysia. *refereed
R. Yukimura, H. Sun and M. Jin (2020). Feature analysis of paintings using color information of the image, Digital humanities austria 2018 empowering researchers. Nov.29-Dec.01, 2018, 54-61. University of Salzburg, Austria. *refereed
H. Sun and M. Jin (2019). Quantitative analysis of writing style problem in Yasunari Kawabata’s novels. Global Digital Humanities Symposium, Michigan State・University, Mar 21-22. America. *refereed
H. Sun and M. Jin (2019). Improving the performance of Japanese authorship attribution with phonetic related information. 16th Conference of the International Federation of Classification Societies. Aug 25-29, Thessaloniki Concert Hall, Thessaloniki, Greece. *refereed
X. Liu and M. Jin (2019). A corpus-based approach to explore the stylistic peculiarity of Kouji Uno’s postwar works. 16th Conference of the International Federation of Classification Societies, Aug 26-29, Thessaloniki Concert Hall, Greece. *refereed
N. Oshiro, S. Irie, and M. Jin (2019). Quantitative analysis of phonological structure used in dialects in Osamu Dazai’s works. 16th Conference of the International Federation of Classification Societies, Aug 26-29, Thessaloniki Concert Hall, Greece. *refereed
J. Piao and M. Jin (2019). Multi-loss CNN architecture for image classification. 16th Conference of the International Federation of Classification Societies, Aug 26-29, Thessaloniki Concert Hall, Greece. *refereed
W. Zheng and M. Jin (2019), FTA: a novel feature training approach for classification. in Proceedings of 33rd Pacific Asia Conference on Language, 343-350. Sep 13-15, Room 594, Future University Hakodate, Hakodate, Japan. *refereed
W. Zheng and M. Jin (2019), Effects of training data size and class imbalance on the performance of classifiers. in Proceedings of 8th conference on Artificial Intelligence and Natural Language, 3-17. Nov. 20-22, Tartu, Estonia. *refereed
W. Zheng and M. Jin (2019), A proposal to improve the performance of feature selection methods with low-sample-size data. in Proceedings of 15th ARG Web Intelligence and Interaction, 21-24. Nov 8-9, Kanagawa Institute of Technology, Yokohama, Japan.
H. Sun and M. Jin (2018). Quantitative analysis of writing style problem in Yasunari Kawabata’s novels. 9th International Conference of Digital Archives and Digital Humanities, Dramra Drum Institute of Liberal Arts, Dec 18-21. Taiwan. *refereed
H. Sun and M. Jin (2018). Phonemes as stylometric features in Japanese authorship attribution. Digital Humanities Austria 2018, the Paris Lodron University Salzburg, Nov 29-Dec. 01, Austria. *refereed
H. Sun and M. Jin (2018). Ghostwriting problem of Yasunari Kawabata's novel Soranokatakana. Digital Humanities Australia 2018. University of South Australia, Sep 25-28. Australia. *refereed
R. Yukimura, H. SUN,M. JIN (2018),Feature analysis of paintings using color information of the image. 5th conference digital humanities austria, Nov 29-Dec 01, Salzburg, Austria. *refereed
N. Oshiro, M. Jin, A. Kawase, H. Sun (2018),Classification of Osamu Dazai‘s works based on part-of-speech bigrams and usage of commas. 5th conference digital humanities austria, Nov 29-Dec 01, Salzburg, Austria. *refereed
G. Li and M. Jin (2018), Epoch changes of stylistic features in modern Japanese novels. 5th conference digital humanities austria, Nov 29-Dec 01, Salzburg, Austria. *refereed
S. Huang and M. Jin (2018), Japanese authorship attribution based on sentence pattern, 5th conference digital humanities austria, Nov 29-Dec 01, Salzburg, Austria. *refereed
W. Zheng and M. Jin (2018), Evaluate lexical richness measures using coefficient of variation and relative value. 19th International Conference on Computational Linguistics and Intelligent Text Processing, Mar 18-24, Hanoi, Vietnam. *refereed
W. Zheng and M. Jin (2018), Comparing feature selection methods by using rank aggregation, Proceedings 16th IEEE International Conference on ICT and Knowledge Engineering, 1-6. Nov 21-23, Bangkok, Thailand. *refereed
W. Zheng and M. Jin (2018), Do we need more samples for text classification? in Proceedings of the 2018 Artifical Intelligene and Cloud Computing Conference, 121-128, Dec 21-23, Tokyo, Japan. *refereed
H. Sun and M. Jin (2017). Collaborative authorship visualization of Yasunari Kawabata’s novel. International Conference on Culture and Computing, Sep 10-12, Kyoto, Japan.
H. Sun (2017). Authorship attribution of Yasunari Kawabata’s novels. Joint Symposium of Doshisha University and Tamkung University.
X. Liu and M. Jin (2017). Stylistic analysis of Kōji Uno’s works based on data, 2nd International Workshop on Language Technologies and Applications, Sep 3-6, Prague, Czech Republic. *refereed
X. Liu and M. Jin (2017). The changes over time in Koji Uno’s writing style, 2017 Conference of the International Federation of Classification Societies, Aug 8-10, Tokyo, Japan.
W. Zheng and M. Jin (2017). A comparative evaluation of feature selection methods. 2017 Conference of the International Federation of Classification Societies, Aug 8-10, Tokyo, Japan.