AS

  1. Kárný Miroslav, Guy Tatiana Valentine, Pelikán M. :  Adaptive Bayesian point-mass estimation , Journal of the Franklin Institute-Engineering and Applied Mathematics vol.363, 109007 [2026] Download Download DOI: 10.1016/j.jfranklin.2026.109007
  2. Tichý Ondřej, Šmídl Václav, Kuśmierczyk-Michulec J., Maurer Ch., Tipka A. :  Impact of background representation on Bayesian radioxenon source estimation using IMS measurements , Journal of Environmental Radioactivity vol.299, 108139 [2026] Download Download DOI: 10.1016/j.jenvrad.2026.108139

MTR

  1. Vomlel Jiří :  Enhancing Bayesian networks through logistic regression: A case study of Czech Society Divisions , Kybernetika vol.62, 3 (2026), p. 400-426 [2026] Download Download DOI: 10.14736/kyb-2026-3-0400
  2. Gfrerer H., Outrata Jiří :  On the Role of Semismoothness in Nonsmooth Numerical Analysis: Theory , SIAM Journal on Optimization vol.36, 3 (2026), p. 1678-1705 [2026] Download Download DOI: 10.1137/24M1663892

ZOI

  1. Průšek Michal, Novozámský Adam, Škubník J., Svobodová Pavlíčková V., Rimpelová S. :  SpheroSeg: Advancing tumor spheroid analysis through open-source deep learning , Computer Methods and Programs in Biomedicine vol.286, 109602 [2026] Download Download DOI: 10.1016/j.cmpb.2026.109602