2021 Fiscal Year Research-status Report
Dynamic Neural Architecture Warping for Time Series Recognition
| Project/Area Number |
21K17808
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| Research Institution | Kyushu University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2023-03-31
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| Keywords | Time series / Temporal neural network / Dynamic programming |
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| Outline of Annual Research Achievements |
In 2021, a number of publications at international conferences and journals were achieved. As part of the goals of the research, I sought to develop dynamic neural networks, networks that could tackle real world data, and research that tackled fundamental issues in deep learning. I was successfully able to publish papers and develop collaborations in these topics. For example, a paper in PLOS One provides a deep survey on data augmentation for time series classification, a paper published at ICASSP deals with varying length time series, and a paper under review at ICPR works with dynamic neural networks. In addition, I have collaborated with interdisciplinary fields such as remote sensing and natural language processing.
There were three international journals and 11 conference presentations.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The research had a high level of success, especially when pertaining to the algorithms developed and the publications.
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| Strategy for Future Research Activity |
This research and the collaborations will continue beyond the period of the grant. Currently, I am writing a journal paper based on the results from the research performed under this grand. Furthermore, multiple students under my supervision have papers under review or in the development stage.
In the future, this research topic will be extended. Not only is the ideas of the research important, but the application of it can be used for many other topics, such as multi-modal models.
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| Causes of Carryover |
The main equipment needed for the next steps in the research is still in the process of being purchases. A request for the equipment was submitted, but the availability of the equipment is limited and is waiting. Also, due to the COVID situation, there were less travel expenses compared to previous years. This coming year will have more travel expenses.
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Research Products
(14 results)
