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2020 – today
- 2023
[c7]Koki Yoshioka, Gen Niina, Hiroshi Dozono:
The Method of Making the Low-dimensional Map that Preserves the Distance Relationships from Selected Data Point. IRI 2023: 166-172- 2022
- [c6]Hiroshi Dozono, Koki Yoshioka, Gen Niina:
Spherical Tree Structured Self-Organizing Map. ICMLC 2022: 495-500
2010 – 2019
- 2019
- [c5]Gen Niina, Heizo Tokutaka, Masaaki Ohkita, Nobuhiko Kasezawa:
Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis. WSOM+ 2019: 334-339 - 2017
- [c4]Gen Niina, Hiroshi Douzono, Tomohiro Enda, Heizo Tokutaka:
HMM Training by Using a Self-Organizing Map for Time Series Prediction. ICMLC 2017: 147-152 - 2015
- [j1]Gen Niina, Hiroshi Dozono, Kazuhiro Muramatsu:
Basic Study on the Classification of Time Series Data Using a Frequency Integrated Spherical Hidden Markov Self Organizing Map. J. Adv. Comput. Intell. Intell. Informatics 19(2): 212-216 (2015) - 2013
- [c3]Hiroshi Dozono, Gen Niina:
Visualization of the sets of DNA sequences using self organizing maps based on correlation coefficients. BIBM 2013: 27-29 - [c2]Hiroshi Dozono, Gen Niina:
Mapping of DNA sequences using hidden Markov model self organizing maps. CIBCB 2013: 212-217 - 2012
- [c1]Gen Niina, Hiroshi Dozono:
The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data. ICANN (1) 2012: 563-570
Coauthor Index
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