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Identification of spontaneous spoken texts in Slovak
Title Identification of spontaneous spoken texts in Slovak Author Sabo Róbert 1981- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Co-authors Krammer Peter 1984- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Mojžiš Ján 1985- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Kvassay Marcel 1968- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document Jazykovedný časopis. Roč. 70, č. 2 (2019), s. 481-490 Language eng - English Document kind rozpis článkov z periodík (rbx) Citations KENYERES, Martin - KENYERES, Jozef. Convergence of Metropolis-Hastings Algorithm with Optimal Mixing Parameter in Bipartite Regular Graphs. In SOFTWARE ENGINEERING PERSPECTIVES IN SYSTEMS, VOL. 1, 2022, vol. 501, no., pp. 484-498. ISSN 2367-3370. Dostupné na: https://doi.org/10.1007/978-3-031-09070-7_40. KENYERES, Martin - KENYERES, Jozef. How to Optimally Reconfigure Average Consensus with Maximum-Degree Weights in Bipartite Regular Graphs. In Lecture Notes in Networks and Systems, 2023-01-01, 596 LNNS, pp. 189-204. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-3-031-21435-6_16. KENYERES, M. - KENYERES, J. Convex optimized average consensus weights for data aggregation in wireless sensor networks. In: Silhavy, R., Silhavy, P. (eds.): Software Engineering Methods in Systems and Network Systems (CoMeSySo 2023). Lecture Notes in Networks and Systems. Springer, Cham. 2023, vol. 934, pp. 281-295. doi: 10.1007/978-3-031-54813-0_27. Category ADNB - Scientific papers in domestic non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2020 Registered in SCOPUS DOI 10.2478/jazcas-2019-0076 
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File name Access Size Downloaded Type License Identification of spontaneous spoken texts in Slovak.pdf available 1.2 MB 1 Publisher's version rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2019 2018 0.122 Q3
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