- This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervised fine-grained detectors of the region of interest (ROI).Publication DetailsType:Refereed Conf./Meeting ProceedingDate:08/07/2019Location:Open Access Repository:United Kingdom (excluding Northern Ireland)
- Dynamic Programming (DP) can solve many complex problems in polynomial or pseudo-polynomial time, and it is widely used in Constraint Programming (CP) to implement powerful global constraints. Implementing such constraints is a nontrivial task beyond the capability of most CP users, who must relPublication DetailsType:Refereed Conf./Meeting ProceedingDate:05/07/2019Location:France
- This paper investigates modifying an existing neural network architecture for static saliency prediction using two types of recurrences that integrate information from the temporal domain.
- Each day an extensive amount of data is produced from various organisations, such as e-commerce, IT, hospitals, retail and supply chain, etc.Publication DetailsType:Refereed Conf./Meeting ProceedingDate:02/07/2019Location:France