Marco Postiglione

According to our database, Marco Postiglione authored at least 37 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An eXplainable Artificial Intelligence Methodology on Big Data Architecture.

Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

Cogn. Comput., September, 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, July, 2024

ALDANER: Active Learning based Data Augmentation for Named Entity Recognition.

Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Andrea Vignali

Knowl. Based Syst., 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

Explainability in AI-based behavioral malware detection systems.

Antonio Galli, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

Comput. Secur., 2024

Named Entity Recognition using context similarity data augmentation.

Ilaria Bartolini, Angelo Chianese, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí, Andrea Vignali

Proceedings of the 32nd Symposium of Advanced Database Systems, 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, Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlì

Proceedings of the 32nd Symposium of Advanced Database Systems, 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, Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlì

Proceedings of the Ital-IA Intelligenza Artificiale, 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, Elio Masciari, Enea Vincenzo Napolitano, Giuseppe Pontillo, Marco Postiglione, Cristiano Russo, Cristian Tommasino, Antonio Maria Rinaldi, Vincenzo Moscato, Carlo Sansone

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Empowering Network Security with Autoencoders.

Antonino Ferraro, Valerio La Gatta, Marco Postiglione

Proceedings of the IEEE International Conference on Acoustics, 2024

Few Shot NER on Augmented Unstructured Text from Cardiology Records.

Antonino Ferraro, Antonio Galli, Valerio La Gatta, Mario Minocchi, Vincenzo Moscato, Marco Postiglione

Proceedings of the Advances in Internet, Data & Web Technologies, 2024

Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models.

Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 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

Proceedings of the IEEE International Conference on Big Data, 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

Proceedings of the IEEE International Conference on Big Data, 2024

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

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023

Multi-task learning for few-shot biomedical relation extraction.

Vincenzo Moscato, Giuseppe Napolano, Marco Postiglione, Giancarlo Sperlì

Artif. Intell. Rev., November, 2023

Music Recommendation via Hypergraph Embedding.

Valerio La Gatta, Vincenzo Moscato, Mirko Pennone, Marco Postiglione, Giancarlo Sperlí

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions.

Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí

ACM Trans. Intell. Syst. Technol., October, 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., October, 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, May, 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

COVID-19 Sentiment Analysis Based on Tweets.

Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí

IEEE Intell. Syst., 2023

HEMR: Hypergraph Embeddings for Music Recommendation.

Antonino Ferraro, Antonio Galli, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Flora Amato

Proceedings of the 31st Symposium of Advanced Database Systems, 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

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Learning How To Augment Data: An Application To Biomedical NER.

Vincenzo Moscato, Marco Postiglione, Guido Secondulfo, Giancarlo Sperlí, Andrea Vignali

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 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, Maria Paola Maurelli, Vincenzo Moscato, Giuseppe Pontillo, Marco Postiglione, Antonio Maria Rinaldi, Laura Rinaldi, Cristiano Russo, Giancarlo Sperlì, Cristian Tommasino, Giuseppe Cringoli, Carlo Sansone

Proceedings of the Italia Intelligenza Artificiale, 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

Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 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

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

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

Proceedings of the IEEE International Conference on Big Data, 2023

2022

COSINER: COntext SImilarity data augmentation for Named Entity Recognition.

Ilaria Bartolini, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Andrea Vignali

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

A Deep Learning pipeline for Network Anomaly Detection based on Autoencoders.

Antonino Ferraro, Antonio Galli, Valerio La Gatta, Marco Postiglione

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST.

Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

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

PASTLE: Pivot-aided space transformation for local explanations.

Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

Pattern Recognit. Lett., 2021

CASTLE: Cluster-aided space transformation for local explanations.

Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

Expert Syst. Appl., 2021

Few-shot Named Entity Recognition with Cloze Questions.

Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

CoRR, 2021

Towards an Italian Healthcare Knowledge Graph.

Marco Postiglione

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021