Projects funded by the NCN
Time series classification using similarity forests and deep neural networks.
2018/31/N/ST6/01209
Keywords:
time series similarity forests deep learning
Descriptors:
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Uniwersytet im. Adama Mickiewicza w Poznaniu, Wydział Matematyki i Informatyki
woj. wielkopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 16 - announced on 2018-09-14
Amount awarded: 97 920 PLN
Project start date (Y-m-d): 2019-07-01
Project end date (Y-m-d): 2022-06-30
Project duration:: 36 months (the same as in the proposal)
Project status: Project settled
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Equipment purchased [PL]
- Komputer (10 000 PLN)
Information in the final report
- Articles in post-conference publications (1)
- Similarity Forest for Time Series ClassificationAuthors:Tomasz Górecki, Tomasz Łuczak, Paweł PiaseckiConference:Classification and Data Science in the Digital Age, IFCS 2022 (rok: 2022, ), Wydawca: SpringerData:konferencja 19-23.07Status:Accepted for publication