Right whale recognition using convolutional neural networks. - Andrei Polzounov; Ilmira Terpugova; Deividas Skiparis; Andrei Mihai (CoRR, 2016)

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

S PRAR: A novel relational association rule mining classification model applied for academic performance prediction. - Gabriela Czibula; Andrei Mihai; Liana Maria Crivei (KES, 2019)

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

A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students. - Liana Maria Crivei; Gabriela Czibula; Andrei Mihai (KSEM (1), 2019)

RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. - Gabriela Czibula; Andrei Mihai; István Gergely Czibula (KES, 2020)

Using self-organizing maps as unsupervised learning models for meteorological data mining. - Andrei Mihai (SACI, 2020)

XNow: A deep learning technique for nowcasting based on radar products' values prediction. - Ioana Angela Socaci; Gabriela Czibula; Vlad-Sebastian Ionescu; Andrei Mihai (SACI, 2020)

NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes. - Alexandra-Ioana Albu; Gabriela Czibula; Andrei Mihai; István Gergely Czibula; Sorin Burcea; Abdelkader Mezghani (Remote. Sens., 2022)

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)