| An epidemiological neural network exploiting dynamic graph structured data applied to the COVID-19 outbreak V La Gatta, V Moscato, M Postiglione, G Sperli IEEE Transactions on Big Data 7 (1), 45-55, 2020 | 135 | 2020 |
| Music Recommendation via Hypergraph Embedding V La Gatta, V Moscato, M Pennone, M Postiglione, G Sperlì IEEE Transactions on Neural Networks and Learning Systems, 2022 | 93 | 2022 |
| CASTLE: Cluster-aided space transformation for local explanations V La Gatta, V Moscato, M Postiglione, G Sperlì Expert Systems with Applications 179, 115045, 2021 | 39 | 2021 |
| Explainability in AI-based behavioral malware detection systems A Galli, V La Gatta, V Moscato, M Postiglione, G Sperlì Computers & Security 141, 103842, 2024 | 22 | 2024 |
| Multi-task learning for few-shot biomedical relation extraction V Moscato, G Napolano, M Postiglione, G Sperlì Artificial Intelligence Review 56 (11), 13743-13763, 2023 | 15 | 2023 |
| Towards an Italian Healthcare Knowledge Graph M Postiglione Lecture Notes in Computer Science 13058, 2021 | 14 | 2021 |
| PASTLE: Pivot-Aided Space Transformation for Local Explanations V La Gatta, V Moscato, M Postiglione, G Sperlì Pattern Recognition Letters, 2021 | 14 | 2021 |
| Few-shot named entity recognition: definition, taxonomy and research directions V Moscato, M Postiglione, G Sperlí ACM Transactions on Intelligent Systems and Technology 14 (5), 1-46, 2023 | 12 | 2023 |
| Data augmentation via context similarity: An application to biomedical Named Entity Recognition I Bartolini, V Moscato, M Postiglione, G Sperlì, A Vignali Information Systems 119, 102291, 2023 | 10 | 2023 |
| Taughtnet: Learning multi-task biomedical named entity recognition from single-task teachers V Moscato, M Postiglione, C Sansone, G Sperlí IEEE Journal of Biomedical and Health Informatics 27 (5), 2512-2523, 2023 | 9 | 2023 |
| Improving graph embeddings via entity linking: a case study on Italian clinical notes D D'Auria, V Moscato, M Postiglione, G Romito, G Sperlí Intelligent Systems with Applications 17, 200161, 2023 | 8 | 2023 |
| COSINER: COntext SImilarity data augmentation for Named Entity Recognition I Bartolini, V Moscato, M Postiglione, G Sperlì, A Vignali International Conference on Similarity Search and Applications, 11-24, 2022 | 6 | 2022 |
| Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST V Moscato, M Postiglione, G Sperlí Working Notes of Conference and Labs of the Evaluation (CLEF) Forum. CEUR …, 2022 | 6 | 2022 |
| Benchmarking open source and paid services for speech to text: an analysis of quality and input variety A Ferraro, A Galli, V La Gatta, M Postiglione Frontiers in big Data 6, 1210559, 2023 | 4 | 2023 |
| Covid-19 sentiment analysis based on tweets V La Gatta, V Moscato, M Postiglione, G Sperlí IEEE Intelligent Systems 38 (3), 51-55, 2023 | 4* | 2023 |
| Few-shot named entity recognition with cloze questions V La Gatta, V Moscato, M Postiglione, G Sperlì arXiv preprint arXiv:2111.12421, 2021 | 4 | 2021 |
| Graph-based approach for european law classification R Russo, G Di Giuseppe, A Vanacore, V La Gatta, A Ferraro, A Galli, ... 2023 IEEE International Conference on Big Data (BigData), 1-9, 2023 | 3 | 2023 |
| Predicting future disorders via temporal knowledge graphs and medical ontologies M Postiglione, D Bean, Z Kraljevic, RJB Dobson, V Moscato IEEE Journal of Biomedical and Health Informatics, 2024 | 2 | 2024 |
| Few shot ner on augmented unstructured text from cardiology records A Ferraro, A Galli, V La Gatta, M Minocchi, V Moscato, M Postiglione International Conference on Emerging Internet, Data & Web Technologies, 1-12, 2024 | 2 | 2024 |
| Identifying cardiological disorders in spanish via data augmentation and fine-tuned language models A Romano, G Riccio, M Postiglione, V Moscato CLEF Working Notes, 2024 | 2 | 2024 |
Vincenzo MoscatoFull Professor at University of Naples "Federico IIGeverifieerd e-mailadres voor unina.it
