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Marco Postiglione
Marco Postiglione
PhD, Northwestern University
Email verificata su unina.it
Titolo
Citata da
Citata da
Anno
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
1192020
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
662022
CASTLE: Cluster-aided space transformation for local explanations
V La Gatta, V Moscato, M Postiglione, G Sperlì
Expert Systems with Applications 179, 115045, 2021
172021
Towards an Italian Healthcare Knowledge Graph
M Postiglione
Lecture Notes in Computer Science 13058, 2021
122021
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
102023
PASTLE: Pivot-Aided Space Transformation for Local Explanations
V La Gatta, V Moscato, M Postiglione, G Sperlì
Pattern Recognition Letters, 2021
92021
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
72023
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
42022
Few-shot named entity recognition with cloze questions
V La Gatta, V Moscato, M Postiglione, G Sperlì
arXiv preprint arXiv:2111.12421, 2021
42021
COVID-19 Sentiment Analysis Based on Tweets
V La Gatta, V Moscato, M Postiglione, G Sperlí
IEEE Intelligent Systems 38 (3), 51-55, 2023
3*2023
Taughtnet: Learning multi-task biomedical named entity recognition from single-task teachers
V Moscato, M Postiglione, C Sansone, G Sperli
IEEE Journal of Biomedical and Health Informatics, 2023
32023
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
32022
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
22023
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
22023
A deep learning pipeline for network anomaly detection based on autoencoders
A Ferraro, A Galli, V La Gatta, M Postiglione
2022 IEEE international conference on metrology for extended reality …, 2022
22022
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
12023
Explainability in AI-based behavioral malware detection systems
A Galli, V La Gatta, V Moscato, M Postiglione, G Sperlì
Computers & Security 141, 103842, 2024
2024
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
2024
An eXplainable Artificial Intelligence Methodology on Big Data Architecture
V La Gatta, V Moscato, M Postiglione, G Sperlì
Cognitive Computation, 1-18, 2024
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
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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