3 papers
cs.CY2019
Towards Ethical Content-Based Detection of Online Influence Campaigns
Evan Crothers, Nathalie Japkowicz, Herna Viktor
The detection of clandestine efforts to influence users in online communities is a challenging problem with significant active development. We demonstrate that features derived fro…
cs.LG2019
Contextual One-Class Classification in Data Streams
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz +1
In machine learning, the one-class classification problem occurs when training instances are only available from one class. It has been observed that making use of this class's str…
stat.ML2017
McDiarmid Drift Detection Methods for Evolving Data Streams
Ali Pesaranghader, Herna Viktor, Eric Paquet
Increasingly, Internet of Things (IoT) domains, such as sensor networks, smart cities, and social networks, generate vast amounts of data. Such data are not only unbounded and rapi…