| 2026 | ENASE | GEM-Qt: Generating Embeddings for Meteorological Reanalysis Data Using a Quadtree-Based Approach. | Gabriela Czibula, Andrei Mihai, Alexandru-Gabriel Sirbu, Istvn Gergely Czibula, Eugen Mihulet, Ioan-Stefan Gabrian |
| 2025 | KES | FS-iSDP: A few-shot learning approach using siamese networks for interpretable software defect prediction. | Ioana-Gabriela Chelaru, Gabriela Czibula, Andrei Mihai |
| 2024 | KES | SepConv-ens: An ensemble of separable convolution-based deep learning models for weather radar echo temporal extrapolation. | Gabriela Czibula, Andrei Mihai, Paul-Dumitru Orasan, Istvn Gergely Czibula, Eugen Mihulet, Sorin Burcea |
| 2020 | KES | RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. | Gabriela Czibula, Andrei Mihai, Istvn Gergely Czibula |
| 2020 | SACI | Using self-organizing maps as unsupervised learning models for meteorological data mining. | Andrei Mihai |
| 2020 | SACI | XNow: A deep learning technique for nowcasting based on radar products' values prediction. | Ioana Angela Socaci, Gabriela Czibula, Vlad-Sebastian Ionescu, Andrei Mihai |
| 2019 | KES | Untitled record | Gabriela Czibula, Andrei Mihai, Liana Maria Crivei |
| 2019 | KES | Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. | Gabriela Czibula, Andrei Mihai, Eugen Mihulet, Daniel Teodorovici |
| 2019 | KSEM | A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students. | Liana Maria Crivei, Gabriela Czibula, Andrei Mihai |