| Autoencoder-based deep metric learning for network intrusion detection G Andresini, A Appice, D Malerba Information Sciences 569, 706-727, 2021 | 81 | 2021 |
| Multi-channel deep feature learning for intrusion detection G Andresini, A Appice, N Di Mauro, C Loglisci, D Malerba IEEE Access 8, 53346-53359, 2020 | 79 | 2020 |
| GAN augmentation to deal with imbalance in imaging-based intrusion detection G Andresini, A Appice, L De Rose, D Malerba Future Generation Computer Systems 123, 108-127, 2021 | 60 | 2021 |
| Nearest cluster-based intrusion detection through convolutional neural networks G Andresini, A Appice, D Malerba Knowledge-Based Systems 216, 106798, 2021 | 57 | 2021 |
| Insomnia: Towards concept-drift robustness in network intrusion detection G Andresini, F Pendlebury, F Pierazzi, C Loglisci, A Appice, L Cavallaro Proceedings of the 14th ACM workshop on artificial intelligence and security …, 2021 | 40 | 2021 |
| Exploiting the auto-encoder residual error for intrusion detection G Andresini, A Appice, N Di Mauro, C Loglisci, D Malerba 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2019 | 39 | 2019 |
| Clustering-aided multi-view classification: a case study on android malware detection A Appice, G Andresini, D Malerba Journal of intelligent information systems 55, 1-26, 2020 | 26 | 2020 |
| ROULETTE: A neural attention multi-output model for explainable network intrusion detection G Andresini, A Appice, FP Caforio, D Malerba, G Vessio Expert Systems with Applications 201, 117144, 2022 | 14 | 2022 |
| Improving cyber-threat detection by moving the boundary around the normal samples G Andresini, A Appice, F Paolo Caforio, D Malerba Machine Intelligence and Big Data Analytics for Cybersecurity Applications …, 2021 | 13 | 2021 |
| Dealing with class imbalance in android malware detection by cascading clustering and classification G Andresini, A Appice, D Malerba Complex Pattern Mining: New Challenges, Methods and Applications, 173-187, 2020 | 11 | 2020 |
| Leveraging grad-CAM to improve the accuracy of network intrusion detection systems FP Caforio, G Andresini, G Vessio, A Appice, D Malerba International Conference on Discovery Science, 385-400, 2021 | 8 | 2021 |
| Leveraging autoencoders in change vector analysis of optical satellite images G Andresini, A Appice, D Iaia, D Malerba, N Taggio, A Aiello Journal of Intelligent Information Systems, 1-20, 2022 | 6 | 2022 |
| EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection G Andresini, A Iovine, R Gasbarro, M Lomolino, M de Gemmis, A Appice Journal of Computational Mathematics and Data Science 3, 100036, 2022 | 5 | 2022 |
| A network intrusion detection system for concept drifting network traffic data G Andresini, A Appice, C Loglisci, V Belvedere, D Redavid, D Malerba Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 5 | 2021 |
| Siamese networks with transfer learning for change detection in sentinel-2 images G Andresini, A Appice, D Dell’Olio, D Malerba International Conference of the Italian Association for Artificial …, 2021 | 4 | 2021 |
| Xai to explore robustness of features in adversarial training for cybersecurity M AL-Essa, G Andresini, A Appice, D Malerba International Symposium on Methodologies for Intelligent Systems, 117-126, 2022 | 3 | 2022 |
| SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning G Andresini, A Appice, D Ienco, D Malerba Expert Systems with Applications 214, 119123, 2023 | 2 | 2023 |
| An XAI-based adversarial training approach for cyber-threat detection ALE Malik, G Andresini, A Appice, D Malerba 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022 | 2 | 2022 |
| Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings … M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galįrraga, J Oramas, ... Springer Nature, 2022 | 2 | 2022 |
| Analyzing microblogging posts for tracking collective emotional trajectories C Loglisci, G Andresini, A Impedovo, D Malerba AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 2 | 2018 |
Annalisa AppiceResearcher of Computer Science, University of Bari Aldo MoroVerified email at di.uniba.it
