| 2024 | COLING | Sequence-to-Sequence Spanish Pre-trained Language Models. | Vladimir Araujo, Maria Mihaela Trusca, Rodrigo Tufio, Marie-Francine Moens |
| 2023 | NLDB | Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers. | Vlad Miron, Flavius Frasincar, Maria Mihaela Trusca |
| 2023 | SAC | A Cross-Domain Aspect-Based Sentiment Classification by Masking the Domain-Specific Words. | Junhee Lee, Flavius Frasincar, Maria Mihaela Trusca |
| 2022 | ICWE | Explaining a Deep Neural Model with Hierarchical Attention for Aspect-Based Sentiment Classification Using Diagnostic Classifiers. | Kunal Geed, Flavius Frasincar, Maria Mihaela Trusca |
| 2022 | WISE | Domain Adversarial Training for Aspect-Based Sentiment Analysis. | Joris Knoester, Flavius Frasincar, Maria Mihaela Trusca |
| 2021 | SAC | Data augmentation in a hybrid approach for aspect-based sentiment analysis. | Tomas Liesting, Flavius Frasincar, Maria Mihaela Trusca |
| 2021 | SAC | Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification. | Lisa Meijer, Flavius Frasincar, Maria Mihaela Trusca |
| 2021 | WISE | Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis. | Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca |
| 2020 | ICAART | Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification. | Maria Mihaela Trusca, Gerasimos Spanakis |
| 2020 | ICWE | A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention. | Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker |
| 2020 | NLDB | Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews. | Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar |