| Efficient anomaly detection in dynamic, attributed graphs: Emerging phenomena and big data BA Miller, N Arcolano, NT Bliss 2013 IEEE International Conference on Intelligence and Security Informatics …, 2013 | 69 | 2013 |
| A scalable signal processing architecture for massive graph analysis BA Miller, N Arcolano, MS Beard, J Kepner, MC Schmidt, NT Bliss, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 33 | 2012 |
| Estimating principal components of large covariance matrices using the Nyström method N Arcolano, PJ Wolfe 2011 IEEE International Conference on Acoustics, Speech, and Signal …, 2011 | 22 | 2011 |
| Moments of parameter estimates for Chung-Lu random graph models N Arcolano, K Ni, BA Miller, NT Bliss, PJ Wolfe 2012 IEEE International Conference on Acoustics Speech and Signal Processing …, 2012 | 11 | 2012 |
| Nyström approximation of Wishart matrices N Arcolano, PJ Wolfe 2010 IEEE International Conference on Acoustics Speech and Signal Processing …, 2010 | 11 | 2010 |
| Approximation of positive semidefinite matrices using the Nyström method N Arcolano Harvard University, 2011 | 9 | 2011 |
| Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity BA Miller, N Arcolano, MM Wolf, NT Bliss arXiv preprint arXiv:1412.4411, 2014 | 4 | 2014 |
| Spectral subgraph detection with corrupt observations BA Miller, N Arcolano 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 4 | 2014 |
| Statistical models and methods for anomaly detection in large graphs N Arcolano, BA Miller SIAM Annual Meeting, Minisymposium «Massive Graphs: Big Compute Meets Big Data, 2012 | 3 | 2012 |
| Analytical models and methods for anomaly detection in dynamic, attributed graphs BA Miller, N Arcolano, S Kelley, NT Bliss Computational Network Analysis with R: Applications in Biology, Medicine …, 2016 | 1 | 2016 |
| Very large graphs for information extraction (vlg): Summary of first-year proof-of-concept study BA Miller, N Bliss, N Arcolano, M Beard, J Kepner, M Schmidt, E Rutledge, ... Lincoln Laboratory Project Report VLG-1, 2013 | 1 | 2013 |
| Estimating principal components of covariance matrices using the Nyström method N Arcolano, PJ Wolfe Arxiv preprint arXiv:1111.6926, 2011 | 1 | 2011 |
| Very Large Graphs for Information Extraction (VLG) Detection and Inference in the Presence of Uncertainty BA Miller, N Arcolano, MS Beard, LD Weiner, M Wolf, AI Reuther, ... | | 2015 |
Benjamin A. MillerLincoln Laboratory, Massachusetts Institute of TechnologyVerified email at ll.mit.edu
