Giuseppina Andresini

Orcid: 0000-0002-5272-644X

According to our database1, Giuseppina Andresini authored at least 33 papers between 2018 and 2024.

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

Timeline

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2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images.
J. Intell. Inf. Syst., December, 2024

PANACEA: a neural model ensemble for cyber-threat detection.
Mach. Learn., July, 2024

A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

VINCENT: Cyber-threat detection through vision transformers and knowledge distillation.
Comput. Secur., 2024

Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images.
Proceedings of the IGARSS 2024, 2024

An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images.
Proceedings of the Discovery Science - 27th International Conference, 2024

2023
Editorial: AI meets cybersecurity.
J. Intell. Inf. Syst., April, 2023

$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning.
Expert Syst. Appl., 2023

Using Graph Neural Networks for the Detection and Explanation of Network Intrusions.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Striving for Simplicity in Deep Neural Models Trained for Malware Detection.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection.
Proceedings of the Discovery Science - 26th International Conference, 2023

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Leveraging autoencoders in change vector analysis of optical satellite images.
J. Intell. Inf. Syst., 2022

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection.
Expert Syst. Appl., 2022

Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features.
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.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

An XAI-based adversarial training approach for cyber-threat detection.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Nearest cluster-based intrusion detection through convolutional neural networks.
Knowl. Based Syst., 2021

Autoencoder-based deep metric learning for network intrusion detection.
Inf. Sci., 2021

GAN augmentation to deal with imbalance in imaging-based intrusion detection.
Future Gener. Comput. Syst., 2021

A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.
Proceedings of the Discovery Science - 24th International Conference, 2021

A Network Intrusion Detection System for Concept Drifting Network Traffic Data.
Proceedings of the Discovery Science - 24th International Conference, 2021

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.
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.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification.
Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection.
J. Intell. Inf. Syst., 2020

Multi-Channel Deep Feature Learning for Intrusion Detection.
IEEE Access, 2020

2019
Exploiting the Auto-Encoder Residual Error for Intrusion Detection.
Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

2018
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018


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