Deep learning for tabular data
2023/50/E/ST6/00169
Keywords
Descriptors
- ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)
- ST6_07: 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 Jagielloński, Wydział Matematyki i Informatyki
Voivodeship: małopolskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 6
Call
SONATA BIS 13 – announced on 2023-06-19
- Amount awarded
- 1 479 084 PLN
- Project start date
- 2024-06-27
- Project end date
- 2028-06-26
- Project duration
- 48 months (the same as in the proposal)
- Project status
- Pending project
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.
Information in the final report
Articles in post-conference publications (1)
-
VisTabNet: Adapting Vision Transformers for Tabular Data
- Authors:
- Witold Wydmański, Ulvi Movsum-zada, Jacek Tabor, Marek Śmieja
- Conference:
- Proceedings of the 2025 SIAM International Conference on Data Mining (SDM) (year: 2025, volume: SIAM Conference on Data Mining, pages: 497 - 506), Publisher: SIAM
- Date:
- conference 1-3 maja 2025
- Status:
- Published
- DOI:
- 10.1137/1.9781611978520 – link to the publication