AutoML: state of the art with a focus on anomaly detection, challenges, and research directions M Bahri, F Salutari, A Putina, M Sozio International Journal of Data Science and Analytics 14 (2), 113-126, 2022 | 99 | 2022 |
UMAP: Urban mobility analysis platform to harvest car sharing data A Ciociola, M Cocca, D Giordano, M Mellia, A Morichetta, A Putina, ... 2017 IEEE SmartWorld, ubiquitous intelligence & computing, advanced …, 2017 | 35 | 2017 |
Online anomaly detection leveraging stream-based clustering and real-time telemetry A Putina, D Rossi IEEE Transactions on Network and Service Management 18 (1), 839-854, 2020 | 29 | 2020 |
Telemetry-based stream-learning of BGP anomalies A Putina, D Rossi, A Bifet, S Barth, D Pletcher, C Precup, P Nivaggioli Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning …, 2018 | 22 | 2018 |
Random histogram forest for unsupervised anomaly detection A Putina, M Sozio, D Rossi, JM Navarro 2020 IEEE International Conference on Data Mining (ICDM), 1226-1231, 2020 | 19 | 2020 |
Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data A Putina, S Barth, A Bifet, D Pletcher, C Precup, P Nivaggioli, D Rossi IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 12 | 2018 |
STREAMRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams S Nesic, A Putina, M Bahri, A Huet, JM Navarro, D Rossi, M Sozio 2022 IEEE/ACS 19th International Conference on Computer Systems and …, 2022 | 1 | 2022 |
AutoAD: an automated framework for unsupervised anomaly detection A Putina, M Bahri, F Salutari, M Sozio 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 1 | 2022 |
Unsupervised anomaly detection: methods and applications A Putina Institut Polytechnique de Paris, 2022 | | 2022 |