Advantages of a neuro-symbolic solution for monitoring IT infrastructures alerts. - Darian M. Onchis; Codruta Istin; Eduard Hogea (SYNASC, 2022)

Neuro-symbolic model for cantilever beams damage detection. - Darian M. Onchis; Gilbert-Rainer Gillich; Eduard Hogea; Cristian Tufisi (Comput. Ind., 2023)

On Applying GraphLime for Trustworthy Diabet Prediction. - Flavia Costi; Darian M. Onchis; Codruta Istin; Adina Magda Florea; Eduard Hogea (SYNASC, 2024)

Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection. - Dacian Goina; Eduard Hogea; George Maties (SYNASC, 2024)

FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing. - Eduard Hogea; Adrian Popescu 001; Darian M. Onchis; Grégoire Petit (CoRR, 2024)

The ethical situation of DALL-E 2. - Eduard Hogea; Josem Rocafortf (CoRR, 2024)

Sisteme Hibride de Invatare Automata si Aplicatii. - Eduard Hogea; Darian M. Onchis (CoRR, 2024)

ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods. - Eduard Hogea; Darian M. Onchis; Ana Coporan; Adina Magda Florea; Codruta Istin (CoRR, 2024)

ExDDV: A New Dataset for Explainable Deepfake Detection in Video. - Vlad Hondru; Eduard Hogea; Darian M. Onchis; Radu Tudor Ionescu (CoRR, 2025)