| A deep learning genome-mining strategy for biosynthetic gene cluster prediction GD Hannigan, D Prihoda, A Palicka, J Soukup, O Klempir, L Rampula, ... Nucleic acids research 47 (18), e110-e110, 2019 | 207 | 2019 |
| Identification of interesting objects in large spectral surveys using highly parallelized machine learning P Škoda, A Palička, J Koza, K Shakurova Proceedings of the International Astronomical Union 12 (S325), 180-185, 2016 | 5 | 2016 |
| A deep learning genome-mining strategy improves biosynthetic gene cluster prediction GD Hannigan, D Prihoda, A Palicka, J Soukup, O Klempir, L Rampula, ... bioRxiv, 500694, 2018 | 1 | 2018 |
| Identification of Artifacts and Interesting Celestial Objects in LAMOST Spectral Survey P Škoda, K Shakurova, J Koza, A Palička arXiv preprint arXiv:1612.07549, 2016 | 1 | 2016 |
| Knowledge Discovery in Mega-Spectra Archives P Škoda, P Bromová, L Lopatovsk'y, A Palička, J Vávzný Astronomical Data Analysis Software an Systems XXIV (ADASS XXIV) 495, 87, 2015 | 1 | 2015 |
| Knowledge discovery in big astronomical spectra archives P Škoda, P Bromová, L Lopatovský, A Palička, J Vážný ADASS XXIV, Taylor, AR, Stil, JM (eds.) ASP Conference Series, ASP San …, 2015 | 1 | 2015 |
| The Distributed Cloud Based Engine for Knowledge Discovery in Massive Archives of Astronomical Spectra P Škoda, J Koza, A Palička, L Lopatovský, T Peterka Astronomical Data Analysis Software and Systems XXV 512, 689-692, 2017 | | 2017 |
| Petr Škoda A Palička, J Koza, K Shakurova | | |
