Analyzing Meteorological Data Using Unsupervised Learning Techniques. - Andrei Mihai; Gabriela Czibula; Eugen Mihulet (ICCP, 2019)

Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. - Gabriela Czibula; Andrei Mihai; Eugen Mihulet; Daniel Teodorovici (KES, 2019)

DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes. - Vlad-Sebastian Ionescu; Gabriela Czibula; Eugen Mihulet (KES, 2021)

ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery. - Adelin Mihoc; Vlad-Sebastian Ionescu; Ioan-Gabriel Mircea; Gabriela Czibula; Eugen Mihulet; Trygve Aspenes (KES, 2023)

SepConv-ens: An ensemble of separable convolution-based deep learning models for weather radar echo temporal extrapolation. - Gabriela Czibula; Andrei Mihai; Paul-Dumitru Orasan; István Gergely Czibula; Eugen Mihulet; Sorin Burcea (KES, 2024)