UMAP: Urban mobility analysis platform to harvest car sharing data. - Alessandro Ciociola; Michele Cocca; Danilo Giordano; Marco Mellia; Andrea Morichetta 002; Andrian Putina; Flavia Salutari (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data. - Andrian Putina; Steven Barth; Albert Bifet; Drew Pletcher; Cristina Precup; Patrice Nivaggioli; Dario Rossi 001 (INFOCOM Workshops, 2018)

Telemetry-based stream-learning of BGP anomalies. - Andrian Putina; Dario Rossi 001; Albert Bifet; Steven Barth; Drew Pletcher; Cristina Precup; Patrice Nivaggioli (Big-DAMA@SIGCOMM, 2018)

Random Histogram Forest for Unsupervised Anomaly Detection. - Andrian Putina; Mauro Sozio; Dario Rossi 001; José Manuel Navarro (ICDM, 2020)

Online Anomaly Detection Leveraging Stream-Based Clustering and Real-Time Telemetry. - Andrian Putina; Dario Rossi 001 (IEEE Trans. Netw. Serv. Manag., 2021)

STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams. - Stefan Nesic; Andrian Putina; Maroua Bahri; Alexis Huet; José Manuel Navarro; Dario Rossi 001; Mauro Sozio (AICCSA, 2022)

AutoAD: an Automated Framework for Unsupervised Anomaly Detectio. - Andrian Putina; Maroua Bahri; Flavia Salutari; Mauro Sozio (DSAA, 2022)

AutoML: state of the art with a focus on anomaly detection, challenges, and research directions. - Maroua Bahri; Flavia Salutari; Andrian Putina; Mauro Sozio (Int. J. Data Sci. Anal., 2022)

Unsupervised anomaly detection: methods and applications. (Détection d'anomalies non supervisée: méthodes et applications). - Andrian Putina (2022)