Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification. - Antonio Galli; Michela Gravina; Stefano Marrone 002; Gabriele Piantadosi; Mario Sansone; Carlo Sansone (CAIP (2), 2019)

DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network. - Gabriele Piantadosi; Stefano Marrone 002; Antonio Galli; Mario Sansone; Carlo Sansone (CBMS, 2019)

A Business Reputation Methodology Using Social Network Analysis. - Antonio Galli; Michela Gravina; Vincenzo Moscato; Antonio Picariello; Carlo Sansone; Giancarlo Sperlì (I-SPAN, 2019)

A novel approach for predictive maintenance combining GAF encoding strategies and deep networks. - Antonino Ferraro; Antonio Galli; Vincenzo Moscato; Giancarlo Sperlì (DependSys, 2020)

An Explainable Artificial Intelligence Methodology for Hard Disk Fault Prediction. - Antonio Galli; Vincenzo Moscato; Giancarlo Sperlì; Aniello De Santo (DEXA (1), 2020)

Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios. - Antonio Galli; Stefano Marrone 002; Vincenzo Moscato; Carlo Sansone (ICPR Workshops (3), 2020)

Data-driven Network Orchestrator for 5G Satellite-Terrestrial Integrated Networks: The ANChOR Project. - Fabio Patrone; Giacomo Bacci; Antonio Galli; Pietro G. Giardina; Giada Landi; Michele Luglio; Mario Marchese; Mattia Quadrini; Cesare Roseti; Giancarlo Sperlì; Attilio Vaccaro; Francesco Zampognaro (GLOBECOM, 2021)

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI. - Antonio Galli; Stefano Marrone 002; Gabriele Piantadosi; Mario Sansone; Carlo Sansone (J. Imaging, 2021)

A deep learning approach for semi-supervised community detection in Online Social Networks. - Aniello De Santo; Antonio Galli; Vincenzo Moscato; Giancarlo Sperlì (Knowl. Based Syst., 2021)

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

Credit Score Prediction Relying on Machine Learning. - Flora Amato; Antonino Ferraro; Antonio Galli; Francesco Moscato 001; Vincenzo Moscato; Giancarlo Sperlì (SEBD, 2022)

AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures. - Antonio Galli; Pietro G. Giardina; Maria Guta; Leonardo Lossi; Antonio Mancina; Vincenzo Moscato; Fabio Patrone; Cesare Roseti; Simon Pietro Romano; Giancarlo Sperlí; Francesco Zampognaro (AI6G@WCCI, 2022)

An anomalous sound detection methodology for predictive maintenance. - Emanuele Di Fiore; Antonino Ferraro; Antonio Galli; Vincenzo Moscato; Giancarlo Sperlì (Expert Syst. Appl., 2022)

Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings. - Antonio Galli; Marco Savino Piscitelli; Vincenzo Moscato; Alfonso Capozzoli (Expert Syst. Appl., 2022)

Evaluating time series encoding techniques for Predictive Maintenance. - Aniello De Santo; Antonino Ferraro; Antonio Galli; Vincenzo Moscato; Giancarlo Sperlì (Expert Syst. Appl., 2022)

Multi-criteria assessment of user trust in Social Reviewing Systems with subjective logic fusion. - Christian Esposito 001; Antonio Galli; Vincenzo Moscato; Giancarlo Sperlí (Inf. Fusion, 2022)

A comprehensive Benchmark for fake news detection. - Antonio Galli; Elio Masciari; Vincenzo Moscato; Giancarlo Sperlí (J. Intell. Inf. Syst., 2022)

Deep Learning for HDD Health Assessment: An Application Based on LSTM. - Aniello De Santo; Antonio Galli; Michela Gravina; Vincenzo Moscato; Giancarlo Sperlì (IEEE Trans. Computers, 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)

Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets. - Antonio Galli; Michela Gravina; Stefano Marrone 002; Carlo Sansone (DeLTA, 2023)

FEAD-D: Facial Expression Analysis in Deepfake Detection. - Michela Gravina; Antonio Galli; Geremia De Micco; Stefano Marrone 002; Giuseppe Fiameni; Carlo Sansone (ICIAP (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-Powered Learning: Personalizing Education for each Student. - Flora Amato; Antonio Galli; Michela Gravina; Lidia Marassi; Stefano Marrone 002; Carlo Sansone (Ital-IA, 2023)

Fingerprint Presentation Attacks: Tackling the Ongoing Arms Race in Biometric Authentication. - Roberto Casula; Antonio Galli; Michela Gravina; Stefano Marrone 002; Domenico Mattiello; Marco Micheletto; Giulia Orrù; Gian Luca Marcialis; Carlo Sansone (Ital-IA, 2023)

Advanced AI-based approaches in Industry 4.0 of the University of Naples Federico II node of the CINI-AIIS Lab. - Lorenzo De Donato; Antonino Ferraro; Antonio Galli; Michela Gravina; Stefano Marrone 002; Vincenzo Moscato; Giancarlo Sperlì; Valeria Vittorini; Carlo Sansone (Ital-IA, 2023)

Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project. - Giulia Orrù; Antonio Galli; Vincenzo Gattulli; Michela Gravina; Stefano Marrone 002; Marco Micheletto; Angela Procaccino; Wanda Nocerino; Grazia Terrone; Donatella Curtotti; Donato Impedovo; Gian Luca Marcialis; et al. (Ital-IA, 2023)

Responsible and Reliable AI at PICUS Lab. - Narendra Patwardhan; Lidia Marassi; Michela Gravina; Antonio Galli; Monica Zuccarini; Tannistha Maiti; Tarry Singh; Stefano Marrone 002; Carlo Sansone (Ital-IA, 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)

Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance. - Antonino Ferraro; Antonio Galli; Vincenzo Moscato; Giancarlo Sperlì (Artif. Intell. Rev., 2023)

Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project. - Giulia Orrù; Antonio Galli; Vincenzo Gattulli; Michela Gravina; Marco Micheletto; Stefano Marrone 002; Wanda Nocerino; Angela Procaccino; Grazia Terrone; Donatella Curtotti; Donato Impedovo; Gian Luca Marcialis; et al. (Inf., 2023)

Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection. - Antonio Galli; Michela Gravina; Stefano Marrone 002; Domenico Mattiello; Carlo Sansone (IET Biom., 2023)

LSTM-based failure prediction for railway rolling stock equipment. - Luigi De Simone; Enzo Caputo; Marcello Cinque; Antonio Galli; Vincenzo Moscato; Stefano Russo 001; Guido Cesaro; Vincenzo Criscuolo; Giuseppe Giannini (Expert Syst. Appl., 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)

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)

Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications. - Flora Amato; Egidia Cirillo; Mattia Fonisto; Alberto Moccardi; Vincenzo Moscato; Carlo Sansone; Stefano Marrone 002; Antonio Maria Rinaldi; Antonio Galli; Domenico Benfenati; Giovanni Maria De Filippis; Lidia Marassi; et al. (Ital-IA, 2024)

Responsibile and Reliable AI: Activities of the CINI-AIIS Lab at University of Naples Federico II. - Flora Amato; Giovanni Maria De Filippis; Antonio Galli; Michela Gravina; Lidia Marassi; Stefano Marrone 002; Elio Masciari; Vincenzo Moscato; Antonio Maria Rinaldi; Cristiano Russo; Carlo Sansone; Cristian Tommasino (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)

AI in Industry: Activities of the CINI-AIIS Lab at University of Naples Federico II. - Alessandro Del Prete; Sofia Dutto; Antonino Ferraro; Antonio Galli; Vincenzo Moscato; Gabriele Piantadosi; 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)

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)

Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks. - Antonio Galli; Vincenzo Moscato; Simon Pietro Romano; Giancarlo Sperlí (IEEE Trans. Netw. Serv. Manag., 2024)