Giuseppina Andresini

According to our database, Giuseppina Andresini authored at least 24 papers between 2018 and 2023.

Collaborative distances:

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

2023

Editorial: AI meets cybersecurity.

Giuseppina Andresini, Annalisa Appice

J. Intell. Inf. Syst., April, 2023

$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning.

Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba

Expert Syst. Appl., 2023

PANACEA: A Neural Model Ensemble for Cyber-Threat Detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection.

Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba

Proceedings of the Discovery Science - 26th International Conference, 2023

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.

Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

Leveraging autoencoders in change vector analysis of optical satellite images.

Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello

J. Intell. Inf. Syst., 2022

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio

Expert Syst. Appl., 2022

Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features.

Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

An XAI-based adversarial training approach for cyber-threat detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Nearest cluster-based intrusion detection through convolutional neural networks.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Knowl. Based Syst., 2021

Autoencoder-based deep metric learning for network intrusion detection.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Inf. Sci., 2021

GAN augmentation to deal with imbalance in imaging-based intrusion detection.

Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba

Future Gener. Comput. Syst., 2021

A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper).

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.

Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba

Proceedings of the Discovery Science - 24th International Conference, 2021

A Network Intrusion Detection System for Concept Drifting Network Traffic Data.

Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba

Proceedings of the Discovery Science - 24th International Conference, 2021

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.

Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images.

Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection.

Annalisa Appice, Giuseppina Andresini, Donato Malerba

J. Intell. Inf. Syst., 2020

Multi-Channel Deep Feature Learning for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

IEEE Access, 2020

2019

Exploiting the Auto-Encoder Residual Error for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

2018

Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.

Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018