Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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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

Other projects carried out by the institution 

Principal investigator (from the host institution):

Paweł Piasecki 

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

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Komputer (10 000 PLN)

Information in the final report

  • Articles in post-conference publications (1)
  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 (rok: 2022, ), Wydawca: Springer
    Data:
    konferencja 19-23.07
    Status:
    Accepted for publication