- This study proposes a versatile framework for real-time Internet of Things (IoT) network intrusion detection using Artificial Neural Network (ANN) on heterogeneous hardware. With the increase in the volume of exchanged data, IoT networks’ security has become a crucial issue.Publication DetailsType:Refereed Conf./Meeting ProceedingDate:01/08/2021Location:GermanyInstitution:National University of Ireland, Cork (UCC)
- In order for researchers to deliver robust evaluations of time series models, it often requires high volumes of data to ensure the appropriate level of rigor in testing. However, for many researchers, the lack of time series presents a barrier to a deeper evaluation.
- Publication DetailsType:Refereed Conf./Meeting ProceedingDate:14/07/2021Location:IrelandInstitution:Open Access Repository:National University of Ireland, Cork (UCC)
- Offline evaluation of recommender systems (RSs) mostly relies on historical data, which is often biased. The bias is a result of many confounders that affect the data collection process. In such biased data, user-item interactions are Missing Not At Random (MNAR).Publication DetailsType:Refereed Original ArticleDate:10/07/2021Institution:Open Access Repository:National University of Ireland, Cork (UCC)