Time series classification using similarity forests and deep neural networks.
2018/31/N/ST6/01209
Keywords
Descriptors
- ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowanie w przetwarzaniu sygnałów
- ST6_7: Sztuczna inteligencja, systemy inteligentne i wieloagentowe
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
Voivodeship: 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
- 2019-07-01
- Project end date
- 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. Cost: 10 000 PLN
Information in the final report
Articles in post-conference publications (1)
-
Similarity Forest for Time Series Classification
- Authors:
- Tomasz Górecki, Tomasz Łuczak, Paweł Piasecki
- Conference:
- Classification and Data Science in the Digital Age, IFCS 2022 (year: 2022, pages: -), Publisher: Springer
- Status:
- Accepted for publication