A hybrid approach for aspect-based sentiment analysis using deep contextual word embeddings and hierarchical attention MM Truşcǎ, D Wassenberg, F Frasincar, R Dekker Web Engineering: 20th International Conference, ICWE 2020, Helsinki, Finland …, 2020 | 49 | 2020 |
Data augmentation in a hybrid approach for aspect-based sentiment analysis T Liesting, F Frasincar, MM Truşcă Proceedings of the 36th Annual ACM Symposium on Applied Computing, 828-835, 2021 | 22 | 2021 |
Efficiency of SVM classifier with Word2Vec and Doc2Vec models MM Truşcă Proceedings of the International Conference on Applied Statistics 1 (1), 496-503, 2019 | 20 | 2019 |
Survey on aspect detection for aspect-based sentiment analysis MM Truşcǎ, F Frasincar Artificial Intelligence Review 56 (5), 3797-3846, 2023 | 17 | 2023 |
Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification. MM Trusca, G Spanakis ICAART (2), 506-513, 2020 | 7* | 2020 |
Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification L Meijer, F Frasincar, MM Truşcă Proceedings of the 36th Annual ACM Symposium on Applied Computing, 821-827, 2021 | 5 | 2021 |
POST-PROCESSING AND DIMENSIONALITY REDUCTION FOR EXTREME LEARNING MACHINE IN TEXT CLASSIFICATION. MM TRUŞCĂ, A Aldea, SE GRĂDINARU, C ALBU Economic Computation & Economic Cybernetics Studies & Research 55 (4), 2021 | 4 | 2021 |
A cross-domain aspect-based sentiment classification by masking the domain-specific words J Lee, F Frasincar, MM Trusca Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 1595-1602, 2023 | 2 | 2023 |
Modeling Second Language Acquisition with pre-trained neural language models ÁJJ Palenzuela, F Frasincar, MM Truşcǎ Expert Systems with Applications 207, 117871, 2022 | 2 | 2022 |
Explaining a deep neural model with hierarchical attention for aspect-based sentiment classification using diagnostic classifiers K Geed, F Frasincar, MM Truşcǎ International conference on web engineering, 268-282, 2022 | 2 | 2022 |
Pattern learning for detecting defect reports and improvement requests in app reviews GVH Mangnoesing, MM Truşcǎ, F Frasincar Natural Language Processing and Information Systems: 25th International …, 2020 | 1 | 2020 |
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images MM Trusca, T Tuytelaars, MF Moens arXiv preprint arXiv:2404.18020, 2024 | | 2024 |
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control MM Trusca, W Nuyts, J Thomm, R Honig, T Hofmann, T Tuytelaars, ... arXiv preprint arXiv:2404.13766, 2024 | | 2024 |
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments L Allein, MM Truşcǎ, MF Moens arXiv preprint arXiv:2312.03726, 2023 | | 2023 |
DIWS-LCR-Rot-hop++: A Domain-Independent Word Selector for Cross-Domain Aspect-Based Sentiment Classification J Lee, F Frasincar, MM Truşcă ACM SIGAPP Applied Computing Review 23 (3), 19-31, 2023 | | 2023 |
Sequence-to-Sequence Spanish Pre-trained Language Models V Araujo, MM Trusca, R Tufiño, MF Moens arXiv preprint arXiv:2309.11259, 2023 | | 2023 |
What Can We Learn from the Structures Found in Visual and Language Data and their Correlations? MM Trusca, MF Moens | | 2023 |
Diagnostic Classifiers for Explaining a Neural Model with Hierarchical Attention for Aspect-based Sentiment Classification K Geed, F Frasincar, MM Trusca Journal of Web Engineering 22 (1), 147-174, 2023 | | 2023 |
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis R Hochstenbach, F Frasincar, MM Truşcǎ Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | | 2021 |