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Marco Postiglione
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2020 – today
- 2025
- [j16]Valerio La Gatta, Marco Postiglione, Giancarlo Sperlì
:
A novel augmentation strategy for credit scoring modeling. Neural Comput. Appl. 37(9): 6663-6675 (2025) - 2024
- [j15]Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì
An eXplainable Artificial Intelligence Methodology on Big Data Architecture. Cogn. Comput. 16(5): 2642-2659 (2024) - [j14]Antonio Galli
Explainability in AI-based behavioral malware detection systems. Comput. Secur. 141: 103842 (2024) - [j13]Antonino Ferraro
Benchmarking open source and paid services for speech to text: an analysis of quality and input variety. Frontiers Big Data 6 (2024) - [j12]Vincenzo Moscato
ALDANER: Active Learning based Data Augmentation for Named Entity Recognition. Knowl. Based Syst. 305: 112682 (2024) - [j11]Marco Postiglione
Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies. IEEE J. Biomed. Health Informatics 28(7): 4238-4248 (2024) - [c21]Antonino Ferraro
Agent-Based Modelling Meets Generative AI in Social Network Simulations. ASONAM (1) 2024: 155-170 - [c20]Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio
Scaling LLM-Based Knowledge Graph Generation: A Case Study of Italian Geopolitical News. IEEE Big Data 2024: 3494-3497 - [c19]Raffaele Russo, Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio
EuropeanLawAdvisor: an open source search engine for European laws. IEEE Big Data 2024: 4751-4756 - [c18]Antonio Romano, Giuseppe Riccio
Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models. CLEF (Working Notes) 2024: 207-222 - [c17]Antonino Ferraro
Few Shot NER on Augmented Unstructured Text from Cardiology Records. EIDWT 2024: 1-12 - [c16]Antonino Ferraro
Empowering Network Security with Autoencoders. ICASSP Workshops 2024: 346-350 - [c15]Antonino Ferraro, Antonio Galli, Valerio La Gatta, Lidia Marassi, Stefano Marrone, Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlì:
AI in Cybersecurity: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 194-199 - [c14]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:
AI in Medicine: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 348-353 - [c13]Ilaria Bartolini, Angelo Chianese, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí, Andrea Vignali:
Named Entity Recognition using context similarity data augmentation. SEBD 2024: 331-338 - [c12]Flora Amato, Antonino Ferraro, Antonio Galli, Valerio La Gatta, Francesco Moscato, Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlì:
A Comparative Assessment of eXplainable AI Tools in Predicting Hard Disk Drive Health. SEBD 2024: 574-584 - [i2]Antonino Ferraro, Antonio Galli, Valerio La Gatta, Marco Postiglione, Gian Marco Orlando, Diego Russo, Giuseppe Riccio, Antonio Romano, Vincenzo Moscato:
Agent-Based Modelling Meets Generative AI in Social Network Simulations. CoRR abs/2411.16031 (2024) - 2023
- [j10]Vincenzo Moscato, Giuseppe Napolano, Marco Postiglione, Giancarlo Sperlì:
Multi-task learning for few-shot biomedical relation extraction. Artif. Intell. Rev. 56(11): 13743-13763 (2023) - [j9]Valerio La Gatta
COVID-19 Sentiment Analysis Based on Tweets. IEEE Intell. Syst. 38(3): 51-55 (2023) - [j8]Ilaria Bartolini, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì
Data augmentation via context similarity: An application to biomedical Named Entity Recognition. Inf. Syst. 119: 102291 (2023) - [j7]Daniela D'Auria, Vincenzo Moscato, Marco Postiglione
Improving graph embeddings via entity linking: A case study on Italian clinical notes. Intell. Syst. Appl. 17: 200161 (2023) - [j6]Vincenzo Moscato
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions. ACM Trans. Intell. Syst. Technol. 14(5): 94:1-94:46 (2023) - [j5]Vincenzo Moscato
TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers. IEEE J. Biomed. Health Informatics 27(5): 2512-2523 (2023) - [j4]Valerio La Gatta
Music Recommendation via Hypergraph Embedding. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7887-7899 (2023) - [c11]Raffaele Russo, Giuliano Di Giuseppe, Alessandro Vanacore, Valerio La Gatta, Antonino Ferraro
Graph-Based Approach for European Law Classification. IEEE Big Data 2023: 1-9 - [c10]Marco Postiglione, Giovanni Esposito, Raffaele Izzo, Valerio La Gatta, Vincenzo Moscato, Raffaele Piccolo:
Harnessing Multi-modality and Expert Knowledge for Adverse Events Prediction in Clinical Notes. ICIAP Workshops (2) 2023: 119-130 - [c9]Giuseppe Riccio
Healthcare Data Summarization via Medical Entity Recognition and Generative AI. itaDATA 2023 - [c8]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:
AI in healthcare: Activities of the University of Naples Federico II node of the CINI-AIIS Lab. Ital-IA 2023: 112-117 - [c7]Vincenzo Moscato, Marco Postiglione, Guido Secondulfo, Giancarlo Sperlí, Andrea Vignali:
Learning How To Augment Data: An Application To Biomedical NER. KDH@IJCAI 2023 - [c6]Antonino Ferraro, Antonio Galli, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Flora Amato:
HEMR: Hypergraph Embeddings for Music Recommendation. SEBD 2023: 317-325 - [c5]Antonino Ferraro, Antonio Galli, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Francesco Moscato:
Unsupervised Anomaly Detection in Predictive Maintenance Using Sound Data. SEBD 2023: 449-458 - 2022
- [c4]Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì:
Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST. CLEF (Working Notes) 2022: 315-324 - [c3]Antonino Ferraro
A Deep Learning pipeline for Network Anomaly Detection based on Autoencoders. MetroXRAINE 2022: 260-264 - [c2]Ilaria Bartolini, Vincenzo Moscato, Marco Postiglione
COSINER: COntext SImilarity data augmentation for Named Entity Recognition. SISAP 2022: 11-24 - 2021
- [j3]Valerio La Gatta
CASTLE: Cluster-aided space transformation for local explanations. Expert Syst. Appl. 179: 115045 (2021) - [j2]Valerio La Gatta
PASTLE: Pivot-aided space transformation for local explanations. Pattern Recognit. Lett. 149: 67-74 (2021) - [j1]Valerio La Gatta
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak. IEEE Trans. Big Data 7(1): 45-55 (2021) - [c1]Marco Postiglione
Towards an Italian Healthcare Knowledge Graph. SISAP 2021: 387-394 - [i1]Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì:
Few-shot Named Entity Recognition with Cloze Questions. CoRR abs/2111.12421 (2021)
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