Antonio Galli

Orcid: 0000-0001-9911-1517

According to our database1, Antonio Galli authored at least 35 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks.
IEEE Trans. Netw. Serv. Manag., February, 2024

Few Shot NER on Augmented Unstructured Text from Cardiology Records.
Proceedings of the Advances in Internet, Data & Web Technologies, 2024

2023
LSTM-based failure prediction for railway rolling stock equipment.
Expert Syst. Appl., July, 2023

Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection.
IET Biom., March, 2023

Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project.
Inf., 2023

Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance.
Artif. Intell. Rev., 2023

HEMR: Hypergraph Embeddings for Music Recommendation.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Unsupervised Anomaly Detection in Predictive Maintenance Using Sound Data.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Responsible and Reliable AI at PICUS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023

Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project.
Proceedings of the Italia Intelligenza Artificiale, 2023

Advanced AI-based approaches in Industry 4.0 of the University of Naples Federico II node of the CINI-AIIS Lab.
Proceedings of the Italia Intelligenza Artificiale, 2023

Fingerprint Presentation Attacks: Tackling the Ongoing Arms Race in Biometric Authentication.
Proceedings of the Italia Intelligenza Artificiale, 2023

AI-Powered Learning: Personalizing Education for each Student.
Proceedings of the Italia Intelligenza Artificiale, 2023

Healthcare Data Summarization via Medical Entity Recognition and Generative AI.
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), 2023

FEAD-D: Facial Expression Analysis in Deepfake Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Graph-Based Approach for European Law Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Deep Learning for HDD Health Assessment: An Application Based on LSTM.
IEEE Trans. Computers, 2022

A comprehensive Benchmark for fake news detection.
J. Intell. Inf. Syst., 2022

Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion.
Inf. Fusion, 2022

Evaluating time series encoding techniques for Predictive Maintenance.
Expert Syst. Appl., 2022

Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings.
Expert Syst. Appl., 2022

An anomalous sound detection methodology for predictive maintenance.
Expert Syst. Appl., 2022

AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures.
Proceedings of the Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), 2022

Credit Score Prediction Relying on Machine Learning.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

A Deep Learning pipeline for Network Anomaly Detection based on Autoencoders.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2021
A deep learning approach for semi-supervised community detection in Online Social Networks.
Knowl. Based Syst., 2021

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI.
J. Imaging, 2021

Data-driven Network Orchestrator for 5G Satellite-Terrestrial Integrated Networks: The ANChOR Project.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

An Explainable Artificial Intelligence Methodology for Hard Disk Fault Prediction.
Proceedings of the Database and Expert Systems Applications, 2020

A novel approach for predictive maintenance combining GAF encoding strategies and deep networks.
Proceedings of the 6th IEEE International Conference on Dependability in Sensor, 2020

2019
A Business Reputation Methodology Using Social Network Analysis.
Proceedings of the Pervasive Systems, Algorithms and Networks, 2019

DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2019


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