Wavelet Based Feature Extraction for Clustering of Be Stars. - Pavla Bromová; Petr Skoda 004; Jaroslav Zendulka (NOSTRADAMUS, 2013)

Upcoming Features of SPLAT-VO in Astroinformatics. - Petr Saloun; David Andresic; Petr Skoda 004; Ivan Zelinka (NOSTRADAMUS, 2013)

Astroinformatics: Getting New Knowledge from the Astronomical Data Avalanche. - Petr Skoda 004 (NOSTRADAMUS, 2013)

Spectroscopic analysis in the virtual observatory environment with SPLAT-VO. - Petr Skoda 004; Peter W. Draper; Margarida Castro Neves; David Andresic; Tim Jenness (Astron. Comput., 2014)

Classification of Spectra of Emission Line Stars Using Machine Learning Techniques. - Pavla Bromová; Petr Skoda 004; Jaroslav Vázný (Int. J. Autom. Comput., 2014)

Visualization of Large Amount of Spectra in Virtual Observatory Environment. - Petr Saloun; David Andresic; Petr Skoda 004; Ivan Zelinka (Int. J. Autom. Comput., 2014)

Better Spectra Manipulation in SPLAT-VO. - Petr Saloun; David Andresic; Petr Skoda 004; Ivan Zelinka (AECIA, 2015)

Identification of Interesting Objects in Large Spectral Surveys Using Highly Parallelized Machine Learning. - Petr Skoda 004; Andrej Palicka; Jakub Koza; Ksenia Shakurova (Astroinformatics, 2016)

Time Series Cube Data Model. - Jirí Nádvorník; Petr Skoda 004; Dave Morris; Pavel Tvrdík (CoRR, 2017)

Active deep learning method for the discovery of objects of interest in large spectroscopic surveys. - Petr Skoda 004; Ondrej Podsztavek; Pavel Tvrdík (CoRR, 2020)

HiSS-Cube: A scalable framework for Hierarchical Semi-Sparse Cubes preserving uncertainties. - Jirí Nádvorník; Petr Skoda 004; Pavel Tvrdík (Astron. Comput., 2021)

Spectroscopic redshift determination with Bayesian convolutional networks. - Ondrej Podsztavek; Petr Skoda 004; Pavel Tvrdík (Astron. Comput., 2022)

Hierarchical Semi-Sparse Cubes - Parallel Framework for Storing Multi-Modal Big Data in HDF5. - Jirí Nádvorník; Petr Skoda 004; Pavel Tvrdík (IEEE Access, 2023)