Applications in Computer Science

M. Mardani, G. Mateos, G. Giannakis, “Recovery of low-rank plus compressed sparse matrices with application to unveiling traffic anomalies”, IEEE Transactions on Information Theory, pages 5186-5205, 2013.

R. Paffenroth, P. Du Toit, R. Nong, L. Scharf, A. Jayasumana, V. Bandara, “Space-time signal processing for distributed pattern detection in sensor networks” IEEE Journal of Selected Topics in Signal Processing, Volume 7, No.1, February 2013 .

A. Ozdemir,  S. Aviyente, "Online low-rank + sparse structure learning for dynamic network tracking", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, 2016.

G. Gürsun, “On Spectral Analysis of the Internet Delay Space and Detecting Anomalous Routing Paths”, Preprint, 2017.

X. Li, S. Ding, Y. Li, "Outlier Suppression via Non-Convex Robust PCA for Efficient Localization in Wireless Sensor Networks”, IEEE Sensors Journal, Volume 17, No. 21, pages 7053-7063, November 2017.

R. Paffenroth, K. Kay, L. Servi, “Robust PCA for Anomaly Detection in Cyber Networks”, preprint, January 2018.

Y. Jin, C. Qiu, L. Sun, X. Peng, J. Zhou, "Anomaly detection in time series via robust PCA”, IEEE International Conference on Intelligent Transportation Engineering, ICITE 2017, pages 352-355, 2017.

B. Rossi, M. Patane, P. Fragneto, A. Fusiello, "Robust Localization in Wireless Sensor Networks via Low-rank and Sparse Matrix Decomposition", ACM 2017, 2017.

E. Vilaca , T. Vieira , R. de Sousa, J. da Costa, "Botnet traffic detection using RPCA and Mahalanobis Distance",  Workshop on Communication Networks and Power Systems, WCNPS 2019, 2019.

M. Amoozegar, B. Minaei-Bidgoli, M. Rezghi, H. Fanaee, "Extra-adaptive robust online subspace tracker for anomaly detection from streaming networks", Engineering Applications of Artificial Intelligence, Volume 94, September 2020.

P. Kalaki, A. Sendi, B. Abbasi, "Anomaly detection on OpenStack logs based on an improved robust principal component analysis model and its projection onto column space", Journal of Software: Practice and Experience, 2022.