Towards an Italian Healthcare Knowledge Graph. - Marco Postiglione (SISAP, 2021)

Few-shot Named Entity Recognition with Cloze Questions. - Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (CoRR, 2021)

CASTLE: Cluster-aided space transformation for local explanations. - Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (Expert Syst. Appl., 2021)

PASTLE: Pivot-aided space transformation for local explanations. - Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (Pattern Recognit. Lett., 2021)

An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak. - Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (IEEE Trans. Big Data, 2021)

Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST. - Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (CLEF (Working Notes), 2022)

A Deep Learning pipeline for Network Anomaly Detection based on Autoencoders. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Marco Postiglione (MetroXRAINE, 2022)

COSINER: COntext SImilarity data augmentation for Named Entity Recognition. - Ilaria Bartolini; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì; Andrea Vignali (SISAP, 2022)

Graph-Based Approach for European Law Classification. - Raffaele Russo; Giuliano Di Giuseppe; Alessandro Vanacore; Valerio La Gatta; Antonino Ferraro; Antonio Galli; Marco Postiglione; Vincenzo Moscato (IEEE Big Data, 2023)

Harnessing Multi-modality and Expert Knowledge for Adverse Events Prediction in Clinical Notes. - Marco Postiglione; Giovanni Esposito; Raffaele Izzo; Valerio La Gatta; Vincenzo Moscato; Raffaele Piccolo (ICIAP Workshops (2), 2023)

Healthcare Data Summarization via Medical Entity Recognition and Generative AI. - Giuseppe Riccio; Antonio Romano; Andriy Korsun; Michele Cirillo; Marco Postiglione; Valerio La Gatta; Antonino Ferraro; Antonio Galli; Vincenzo Moscato (itaDATA, 2023)

AI in healthcare: Activities of the University of Naples Federico II node of the CINI-AIIS Lab. - Antonio Bosco; Salvatore Capuozzo; Biase Celano; Michela Gravina; Stefano Marrone 002; Maria Paola Maurelli; Vincenzo Moscato; Giuseppe Pontillo; Marco Postiglione; Antonio Maria Rinaldi; Laura Rinaldi; Cristiano Russo; et al. (Ital-IA, 2023)

Learning How To Augment Data: An Application To Biomedical NER. - Vincenzo Moscato; Marco Postiglione; Guido Secondulfo; Giancarlo Sperlí; Andrea Vignali (KDH@IJCAI, 2023)

Unsupervised Anomaly Detection in Predictive Maintenance Using Sound Data. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì; Francesco Moscato 001 (SEBD, 2023)

HEMR: Hypergraph Embeddings for Music Recommendation. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì; Flora Amato (SEBD, 2023)

COVID-19 Sentiment Analysis Based on Tweets. - Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlí (IEEE Intell. Syst., 2023)

Improving graph embeddings via entity linking: A case study on Italian clinical notes. - Daniela D'Auria; Vincenzo Moscato; Marco Postiglione; Giuseppe Romito; Giancarlo Sperlí (Intell. Syst. Appl., 2023)

TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers. - Vincenzo Moscato; Marco Postiglione; Carlo Sansone; Giancarlo Sperlí (IEEE J. Biomed. Health Informatics, 2023)

Data augmentation via context similarity: An application to biomedical Named Entity Recognition. - Ilaria Bartolini; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì; Andrea Vignali (Inf. Syst., 2023)

Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions. - Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlí (ACM Trans. Intell. Syst. Technol., 2023)

Music Recommendation via Hypergraph Embedding. - Valerio La Gatta; Vincenzo Moscato; Mirko Pennone; Marco Postiglione; Giancarlo Sperlí (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-task learning for few-shot biomedical relation extraction. - Vincenzo Moscato; Giuseppe Napolano; Marco Postiglione; Giancarlo Sperlì (Artif. Intell. Rev., 2023)

Agent-Based Modelling Meets Generative AI in Social Network Simulations. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Marco Postiglione; Gian Marco Orlando; Diego Russo; Giuseppe Riccio; Antonio Romano; Vincenzo Moscato (ASONAM (1), 2024)

Scaling LLM-Based Knowledge Graph Generation: A Case Study of Italian Geopolitical News. - Diego Russo; Gian Marco Orlando; Antonio Romano; Giuseppe Riccio; Valerio La Gatta; Marco Postiglione; Vincenzo Moscato (IEEE Big Data, 2024)

EuropeanLawAdvisor: an open source search engine for European laws. - Raffaele Russo; Diego Russo; Gian Marco Orlando; Antonio Romano; Giuseppe Riccio; Valerio La Gatta; Marco Postiglione; Vincenzo Moscato (IEEE Big Data, 2024)

Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models. - Antonio Romano; Giuseppe Riccio; Marco Postiglione; Vincenzo Moscato (CLEF (Working Notes), 2024)

Few Shot NER on Augmented Unstructured Text from Cardiology Records. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Mario Minocchi; Vincenzo Moscato; Marco Postiglione (EIDWT, 2024)

Empowering Network Security with Autoencoders. - Antonino Ferraro; Valerio La Gatta; Marco Postiglione (ICASSP Workshops, 2024)

AI in Medicine: Activities of the CINI-AIIS Lab at University of Naples Federico II. - Domenico Benfenati; Salvatore Capuozzo; Giovanni Maria De Filippis; Adriano De Simone; Michela Gravina; Lidia Marassi; Stefano Marrone 002; Elio Masciari; Enea Vincenzo Napolitano; Giuseppe Pontillo; Marco Postiglione; Cristiano Russo; et al. (Ital-IA, 2024)

AI in Cybersecurity: Activities of the CINI-AIIS Lab at University of Naples Federico II. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Lidia Marassi; Stefano Marrone 002; Vincenzo Moscato; Marco Postiglione; Carlo Sansone; Giancarlo Sperlì (Ital-IA, 2024)

A Comparative Assessment of eXplainable AI Tools in Predicting Hard Disk Drive Health. - Flora Amato; Antonino Ferraro; Antonio Galli; Valerio La Gatta; Francesco Moscato 001; Vincenzo Moscato; Marco Postiglione; Carlo Sansone; Giancarlo Sperlì (SEBD, 2024)

Named Entity Recognition using context similarity data augmentation. - Ilaria Bartolini; Angelo Chianese; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlí; Andrea Vignali (SEBD, 2024)

Explainability in AI-based behavioral malware detection systems. - Antonio Galli; Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (Comput. Secur., 2024)

Benchmarking open source and paid services for speech to text: an analysis of quality and input variety. - Antonino Ferraro; Antonio Galli; Valerio La Gatta; Marco Postiglione (Frontiers Big Data, 2024)

ALDANER: Active Learning based Data Augmentation for Named Entity Recognition. - Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì; Andrea Vignali (Knowl. Based Syst., 2024)

Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies. - Marco Postiglione; Daniel Bean; Zeljko Kraljevic; Richard J. B. Dobson; Vincenzo Moscato (IEEE J. Biomed. Health Informatics, 2024)

An eXplainable Artificial Intelligence Methodology on Big Data Architecture. - Valerio La Gatta; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlì (Cogn. Comput., 2024)

GODDS: The Global Online Deepfake Detection System. - Marco Postiglione; Julian Baldwin; Natalia Denisenko; Luke Fosdick; Chongyang Gao; Isabel Gortner; Chiara Pulice; Sarit Kraus; V. S. Subrahmanian (AAAI, 2025)

A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare. - Giuseppe Riccio; Antonio Romano; Mariano Barone; Gian Marco Orlando; Diego Russo; Marco Postiglione; Valerio La Gatta; Vincenzo Moscato (CBMS, 2025)

PIE-Med: Predicting, Interpreting and Explaining Medical Recommendations. - Antonio Romano; Giuseppe Riccio; Marco Postiglione; Vincenzo Moscato (ECIR (5), 2025)

Combining Evidence and Reasoning for Biomedical Fact-Checking. - Mariano Barone; Antonio Romano; Giuseppe Riccio; Marco Postiglione; Vincenzo Moscato (SIGIR, 2025)

Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification. - Mariano Barone; Antonio Romano; Giuseppe Riccio; Marco Postiglione; Vincenzo Moscato (SIGIR, 2025)

A Drone Early Warning System for Predicting Threatening Trajectories. - Tonmoay Deb; Sven de Laaf; Valerio La Gatta; Odette Lemmens; Roy Lindelauf; Max van Meerten; Herwin Meerveld; Afke Neeleman; Marco Postiglione; Venkatramanan Siva Subrahmanian (IEEE Intell. Syst., 2025)

A novel augmentation strategy for credit scoring modeling. - Valerio La Gatta; Marco Postiglione; Giancarlo Sperlì (Neural Comput. Appl., 2025)

Perturbed Public Voices (P2V): A Dataset for Robust Audio Deepfake Detection. - Chongyang Gao; Marco Postiglione; Isabel Gortner; Sarit Kraus; V. S. Subrahmanian (CoRR, 2025)