Pubblicazioni

A Cooperative Feature Removal Mechanism forÂ Cell Outage Detection inÂ Wireless Telecommunication Networks

2025 - Critical Information Infrastructures Security 19th International Conference, CRITIS 2024, Rome, Italy, September 18â20, 2024, Revised Selected Papers

Wrona, Andrea; Gentile, Simone; De Santis, Emanuele; Giuseppi, Alessandro; Pietrabissa, Antonio; Delli Priscoli, Francesco

Alternative Approaches for Estimating HighestâDensity Regions

2024 - INTERNATIONAL STATISTICAL REVIEW

Deliu, Nina; Liseo, Brunero

Contracting skeletal kinematics for human-related video anomaly detection

2024 - Pattern Recognition Letters

Flaborea, Alessandro; D'Amely di Melendugno, Guido Maria; D'Arrigo, Stefano; Sterpa, Marco Aurelio; Sampieri, Alessio; Galasso, Fabio

Supporting weather forecasting performance management at aerodromes through anomaly detection and hierarchical clustering

2023 - EXPERT SYSTEMS WITH APPLICATIONS

Patriarca, R.; Simone, F.; Di Gravio, G.

A GAN Approach forÂ Anomaly Detection inÂ Spacecraft Telemetries

2023 - Lecture Notes in Networks and Systems

Ciancarelli, C.; De Magistris, G.; Cognetta, S.; Appetito, D.; Napoli, C.; Nardi, D.

Anomaly detection in railway bridges using imaging techniques

2023 - SCIENTIFIC REPORTS

Russo, Paolo; Schaerf, Marco

Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

2023 - Proceedings of the IEEE/CVF International Conference on Computer Vision

Flaborea, Alessandro; Collorone, Luca; D'AMELY DI MELENDUGNO, GUIDO MARIA; D'Arrigo, Stefano; Prenkaj, Bardh; Galasso, Fabio

Are we certain itâs anomalous?

2023 - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

Flaborea, Alessandro; Prenkaj, Bardh; Munjal, Bharti; Sterpa, Marco Aurelio; Aragona, Dario; Podo, Luca; Galasso, Fabio

Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

2023 - IEEE/CVF International Conference on Computer Vision 2023

Flaborea, A.; Collorone, L.; D?Amely di Melendugno, G. M.; D?arrigo, S.; Prenkaj, B.; Galasso, F.

CNNViT. A robust deep neural network for video anomaly detection

2023 - IET Conference Proceedings

Garuda, Nikhil; Prasad, Gokul; Prasad Dev, Prabhu; Das, Pranesh; Ghaderpour, Ebrahim

Low-altitude aerial video surveillance via one-class svm anomaly detection from textural features in uav images

2022 - INFORMATION

Avola, D.; Cinque, L.; Di Mambro, A.; Diko, A.; Fagioli, A.; Foresti, G. L.; Marini, M. R.; Mecca, A.; Pannone, D.

A novel unsupervised approach based on the hidden features of deep denoising autoencoders for COVID-19 disease detection

2022 - EXPERT SYSTEMS WITH APPLICATIONS

Scarpiniti, M.; Sarv Ahrabi, S.; Baccarelli, E.; Piazzo, L.; Momenzadeh, A.

A novel GAN-based anomaly Detection and localization method for aerial video surveillance at low altitude

2022 - REMOTE SENSING

Avola, D.; Cannistraci, I.; Cascio, M.; Cinque, L.; Diko, A.; Fagioli, A.; Foresti, G. L.; Lanzino, R.; Mancini, M.; Mecca, A.; Pannone, D.

A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains

2022 - Proc. of 2022 International Joint Conference on Neural Networks (IJCNN)

Santis, Enrico De; Arno, Francesco; Martino, Alessio; Rizzi, Antonello

Supporting warehouse management through Machine Learning

2022 - Proceedings of the Summer School Francesco Turco

Simone, F.; Nakhal Akel, A. J.; Patriarca, R.

Exploratory approach for network behavior clustering in LoRaWAN

2021 - JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING

Garlisi, Domenico; Martino, Alessio; Zouwayhed, Jad; Pourrahim, Reza; Cuomo, Francesca

A histogram-based low-complexity approach for the effective detection of COVID-19 disease from CT and X-ray images

2021 - APPLIED SCIENCES

Scarpiniti, M.; Sarv Ahrabi, S.; Baccarelli, E.; Piazzo, L.; Momenzadeh, A.

Anomaly detection in photovoltaic production factories via monte carlo pre-processed principal component analysis

2021 - ENERGIES

Arena, E.; Corsini, A.; Ferulano, R.; Iuvara, D. A.; Miele, E. S.; Ricciardi Celsi, L.; Sulieman, N. A.; Villari, M.

Spacecraft telemetries analysis for anomaly detection functions

2021 - Proceedings of the 2021 conference on Big Data from Space

Ciancarelli, Carlo; Intelisano, Arturo; Nicito, Annamaria; Cammarota, Camillo; Giuseppe Barrasso, Sergio; Corallo and Francesco Russo, Francesco

Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection

2021 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Brigato, L.; Sartea, R.; Simonazzi, S.; Farinelli, A.; Iocchi, L.; Napoli, C.

Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection

2021 - Advances in Knowledge Discovery and Data Mining. PAKDD 2021

Sarvari, H.; Domeniconi, C.; Prenkaj, B.; Stilo, G.

SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data

2019 - APPLIED SCIENCES

Scarpiniti, M.; Baccarelli, E.; Momenzadeh, A.; Uncini, A.

A Clustering approach for profiling LoRaWAN IoT devices

2019 - Ambient Intelligence. AmI 2019.

Valtorta, Jacopo Maria; Martino, Alessio; Cuomo, Francesca; Garlisi, Domenico

Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery

2016 - 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)

Bonchi, Francesco; Bordino, Ilaria; Gullo, Francesco; Stilo, Giovanni