| Exponentially weighted moving average charts for detecting concept drift GJ Ross, NM Adams, DK Tasoulis, DJ Hand Pattern recognition letters 33 (2), 191-198, 2012 | 422 | 2012 |
| Mamadroid: Detecting android malware by building markov chains of behavioral models E Mariconti, L Onwuzurike, P Andriotis, E De Cristofaro, G Ross, ... arXiv preprint arXiv:1612.04433, 2016 | 331 | 2016 |
| Parametric and nonparametric sequential change detection in R: The cpm package GJ Ross Journal of Statistical Software 66, 1-20, 2015 | 264 | 2015 |
| Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version) L Onwuzurike, E Mariconti, P Andriotis, ED Cristofaro, G Ross, ... ACM Transactions on Privacy and Security (TOPS) 22 (2), 1-34, 2019 | 245 | 2019 |
| Nonparametric monitoring of data streams for changes in location and scale GJ Ross, DK Tasoulis, NM Adams Technometrics 53 (4), 379-389, 2011 | 229* | 2011 |
| Two nonparametric control charts for detecting arbitrary distribution changes GJ Ross, NM Adams Journal of Quality Technology 44 (2), 102-116, 2012 | 195 | 2012 |
| Modelling financial volatility in the presence of abrupt changes GJ Ross Physica A: Statistical Mechanics and its Applications 392 (2), 350-360, 2013 | 66 | 2013 |
| Visualising the cluster structure of data streams DK Tasoulis, G Ross, NM Adams Advances in Intelligent Data Analysis VII: 7th International Symposium on …, 2007 | 64 | 2007 |
| Sequential change detection in the presence of unknown parameters GJ Ross Statistics and Computing 24, 1017-1030, 2014 | 40 | 2014 |
| Bayesian estimation of the ETAS model for earthquake occurrences GJ Ross Bulletin of the Seismological Society of America 111 (3), 1473-1480, 2021 | 36 | 2021 |
| Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown GJ Ross, DK Tasoulis, NM Adams Computational Statistics 28, 463-479, 2013 | 24* | 2013 |
| Privacy-friendly mobility analytics using aggregate location data A Pyrgelis, E De Cristofaro, GJ Ross Proceedings of the 24th ACM SIGSPATIAL international conference on advances …, 2016 | 19 | 2016 |
| Dynamic multifactor clustering of financial networks GJ Ross Physical Review E 89 (2), 022809, 2014 | 19 | 2014 |
| Online annotation and prediction for regime switching data streams GJ Ross, DK Tasoulis, NM Adams Proceedings of the 2009 ACM symposium on Applied Computing, 1501-1505, 2009 | 19 | 2009 |
| dirichletprocess: An R package for fitting complex Bayesian nonparametric models GJ Ross, D Markwick | 18 | 2018 |
| Understanding the heavy-tailed dynamics in human behavior GJ Ross, T Jones Physical Review E 91 (6), 062809, 2015 | 14 | 2015 |
| Inference for ETAS models with non-Poissonian mainshock arrival times AA Kolev, GJ Ross Statistics and Computing 29, 915-931, 2019 | 12 | 2019 |
| Tracking the evolution of literary style via Dirichlet–multinomial change point regression GJ Ross Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 7 | 2020 |
| What's your major threat? On the differences between the network behavior of targeted and commodity malware E Mariconti, J Onaolapo, G Ross, G Stringhini 2016 11th International Conference on Availability, Reliability and Security …, 2016 | 7 | 2016 |
| The cause of all evils: Assessing causality between user actions and malware activity E Mariconti, J Onaolapo, G Ross, G Stringhini 10th USENIX Workshop on Cyber Security Experimentation and Test (CSET 17), 2017 | 6 | 2017 |
