Knowledge-Based Multi-Spectral Pixel Level Fusion for Surveillance. - Yunqian Ma; Jiri Rojicek; Zdenek Beran; Jaromír Kukal; Mike Bazakos (IJCNN, 2006)

Fluctuation of complex wavelet coefficients amplitude correlation in EEG. - Oldrich Vysata; Ales Procházka; Jaromír Kukal (DPS, 2009)

Use of fuzzy edge single-photon emission computed tomography analysis in definite Alzheimer's disease - a retrospective study. - Robert Rusina; Jaromír Kukal; Tomás Belícek; Marie Buncová; Radoslav Matej (BMC Medical Imaging, 2010)

Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function. - Jan Svihlík; Karel Fliegel; Jaromír Kukal; Eva Jerhotová; Petr Páta; Stanislav Vítek; Pavel Koten (J. Electronic Imaging, 2012)

Errata: Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function. - Jan Svihlík; Karel Fliegel; Jaromír Kukal; Eva Jerhotová; Petr Páta; Stanislav Vítek; Pavel Koten (J. Electronic Imaging, 2012)

Automatic workflow for the classification of local DNA conformations. - Petr Cech; Jaromír Kukal; Jirí Cerný; Bohdan Schneider; Daniel Svozil (BMC Bioinform., 2013)

Morphological analysis of 3D SPECT images via nilpotent t-norms in diagnosis of Alzheimer's disease. - Tomás Belícek; J. Kidéry; Jaromír Kukal; Radoslav Matej; Robert Rusina (J. Intell. Fuzzy Syst., 2013)

V-shaped neurons in hidden layer of ANN universal approximator without flat domains. - Josef Bostik; Martin Klimt; Matej Mojzes; Jaromír Kukal; Ivo Bukovsky; Matous Cejnek (IJCNN, 2016)

Feature selection via competitive levy flights. - Matej Mojzes; Martin Klimt; Jaromír Kukal; Ivo Bukovsky; Jan Vrba; Jan Pitel (IJCNN, 2016)

Nonlinear smoothing of N-dimensional data using successive over-relaxation method. - Abduljalil Sireis; Jaromír Kukal (Signal Image Video Process., 2016)

Application of optimization heuristics for complex astronomical object model identification. - Frantisek Mojzís; Jaromír Kukal; Jan Svihlík (Soft Comput., 2016)

Correlation Dimension Estimation from EEG Time Series for Alzheimer Disease Diagnostics. - Martin Dlask; Jaromír Kukal (ICBRA, 2017)

Relationship between entropy and SNR changes in image enhancement. - Zuzana Krbcova; Jaromír Kukal (EURASIP J. Image Video Process., 2017)

Fractional Brownian Bridge Model for Alzheimer Disease Detection from EEG Signal. - Martin Dlask; Jaromír Kukal; Pavel Sovka (ICSPIS, 2018)

Unbiased estimation of permutation entropy in EEG analysis for Alzheimer's disease classification. - Lucie Tylová; Jaromír Kukal; Václav Hubata-Vacek; Oldrich Vysata (Biomed. Signal Process. Control., 2018)

Quantile and mean value measures of search process complexity. - Jaromír Kukal; Matej Mojzes (J. Comb. Optim., 2018)

Variational approach to cancerous tissue identification from in vivo Raman spectra. - Zuzana Krbcova; Jaromír Kukal; Jan Mares; Lucie Habartova; Vladimir Setnicka (Biomed. Signal Process. Control., 2019)

Optimal unions of hidden classes. - Radek Hrebík; Jaromír Kukal; Josef Jablonsky (Central Eur. J. Oper. Res., 2019)

Hurst exponent estimation from short time series. - Martin Dlask; Jaromír Kukal (Signal Image Video Process., 2019)

Alzheimer disease diagnostics from EEG via Wishart distribution of fractional processes. - Martin Dlask; Jaromír Kukal (Signal Image Video Process., 2021)

Diffusion Modelling. - Radek Hrebík; Jaromír Kukal (Neural Process. Lett., 2022)

Alzheimer 's disease identification from 3D SPECT brain scans by variational analysis. - Zuzana Sedlakova; Iva Nachtigalova; Robert Rusina; Radoslav Matej; Marie Buncová; Jaromír Kukal (Biomed. Signal Process. Control., 2023)

Concept of hidden classes in pattern classification. - Radek Hrebík; Jaromír Kukal (Artif. Intell. Rev., 2023)