Search results
- 1.0575836 - ÚTIA 2024 RIV CZ eng J - Journal Article
Uglickich, Evženie - Nagy, Ivan
Using Poisson proximity-based weights for traffic flow state prediction.
Neural Network World. Roč. 33, č. 4 (2023), s. 291-315. ISSN 1210-0552
R&D Projects: GA MŠMT 8A21009
Institutional support: RVO:67985556
Keywords : traffic counts * traffic flow state * cluster prediction * Poisson mixture * recursive mixture estimation
OECD category: Statistics and probability
Impact factor: 0.8, year: 2022
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0575836.pdf http://nnw.cz/doi/2023/NNW.2023.33.017.pdf
Permanent Link: https://hdl.handle.net/11104/0345847 - 2.0558772 - ÚTIA 2023 RIV CZ eng J - Journal Article
Likhonina, Raissa - Uglickich, Evženie
Hand detection application based on QRD RLS Lattice algorithm and its implementation on Xilinx Zynq Ultrascale+.
Neural Network World. Roč. 32, č. 2 (2022), s. 73-92. ISSN 1210-0552
R&D Projects: GA MŠMT 8A21009
Institutional support: RVO:67985556
Keywords : hand detection * ultrasound * QRD RLS lattice algorithm * parallel implementation * hypothesis testing
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 0.8, year: 2022
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2022/ZS/uglickich-0558772.pdf http://nnw.cz/doi/2022/NNW.2022.32.005.pdf
Permanent Link: https://hdl.handle.net/11104/0332708 - 3.0557126 - ÚTIA 2023 RIV CZ eng J - Journal Article
Jozová, Šárka - Uglickich, Evženie - Nagy, Ivan - Likhonina, Raissa
Modeling of discrete questionnaire data with dimension reduction.
Neural Network World. Roč. 32, č. 1 (2022), s. 15-41. ISSN 1210-0552
R&D Projects: GA MŠMT(CZ) 8A19009
Institutional support: RVO:67985556
Keywords : questionnaire data analysis * dimension reduction * binomial mixture * recursive Bayesian mixture estimation * accident severity
OECD category: Statistics and probability
Impact factor: 0.8, year: 2022
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2022/ZS/uglickich-0557126.pdf http://nnw.cz/doi/2022/NNW.2022.32.002.pdf
Permanent Link: http://hdl.handle.net/11104/0331259 - 4.0511450 - ÚTIA 2020 RIV IT eng J - Journal Article
Uglickich, Evženie - Nagy, Ivan - Vlčková, D.
Comparing clusterings using combination of the kappa statistic and entropy-based measure.
Metron. Roč. 77, č. 3 (2019), s. 253-270. ISSN 0026-1424
R&D Projects: GA MŠMT(CZ) 8A17006
Institutional support: RVO:67985556
Keywords : Comparing clusterings * Clusters agreement * kappa max statistic * Normalized mutual information
OECD category: Statistics and probability
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/ZS/uglickich-0511450.pdf https://link.springer.com/article/10.1007%2Fs40300-019-00162-5
Permanent Link: http://hdl.handle.net/11104/0302474