Recurrent Bayesian Reasoning in Probabilistic Neural Networks. - Jirí Grim; Jan Hora (ICANN (1), 2007)

Minimum Information Loss Cluster Analysis for Categorical Data. - Jirí Grim; Jan Hora (MLDM, 2007)

Iterative principles of recognition in probabilistic neural networks. - Jirí Grim; Jan Hora (Neural Networks, 2008)

Recognition of Properties by Probabilistic Neural Networks. - Jirí Grim; Jan Hora (ICANN (2), 2009)

Computational Properties of Probabilistic Neural Networks. - Jirí Grim; Jan Hora (ICANN (3), 2010)

Classification of 9-dimensional trilinear alternating forms over GF(2). - Jan Hora; Petr Pudlák (Finite Fields Their Appl., 2021)

In-silico optimization of peanut production in India through envirotyping and ideotyping. - Amir Hajjarpoor; Jan Pavlík; Jan Hora; Jakub Konopásek; Janila Pusupuleti; Vincent Vadez; Afshin Soltani; Til Feike; Michal Stoces; Jan Jarolimek; Jana Kholová (Comput. Electron. Agric., 2025)