Luca Ferragina

According to our database, Luca Ferragina authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina

Mach. Learn., November, 2023

Reconstruction Error-based Anomaly Detection with Few Outlying Examples.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina

CoRR, 2023

2022

Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina

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

Cooperative Deep Unsupervised Anomaly Detection.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Rosaria Spada

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Meta-feature Extraction Strategies for Active Anomaly Detection.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina

Proceedings of the Discovery Science - 23rd International Conference, 2020