activity
20192022
most citedProspective Artificial Intelligence Approaches for Active Cyber Defence

24 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR20221 cited

Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling

Iwona Hawryluk, Henrique Hoeltgebaum, Cole Sodja +2

Cyber-security analysts face an increasingly large number of alerts received on any given day. This is mainly due to the low precision of many existing methods to detect threats, p…

cs.CR202124 cited

Prospective Artificial Intelligence Approaches for Active Cyber Defence

Neil Dhir, Henrique Hoeltgebaum, Niall Adams +3

Cybercriminals are rapidly developing new malicious tools that leverage artificial intelligence (AI) to enable new classes of adaptive and stealthy attacks. New defensive methods n…

stat.AP2021

Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting

Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra +7

Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide range of fields. An impor…

q-bio.PE2020

Inference of COVID-19 epidemiological distributions from Brazilian hospital data

Iwona Hawryluk, Thomas A. Mellan, Henrique H. Hoeltgebaum +8

Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care planning, and moreove…

stat.CO2019

HCmodelSets: An R package for specifying sets of well-fitting models in regression with a large number of potential explanatory variables

Henrique Helfer Hoeltgebaum, Heather Battey

In the context of regression with a large number of explanatory variables, Cox and Battey (2017) emphasize that if there are alternative reasonable explanations of the data that ar…