… 14c, d, we see two clusters corresponding to the Raise Cache tech event (cluster 5) and
the Mastercard free lunch promotion event (cluster 9), respectively, both of which are more …

To reduce the number of missed or misdiagnosed lung nodules on CT scans by radiologists,
many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are …

… RGB-D cameras may also be used in the considered scenario, but to the best of our
knowledge, currently there is no works which uses depth for making predictions about the future. …

… 2A–D we can observe that the performance of our framework was stable across the different
datasets and achieved an AUC (Area Under the Curve) score between 86–94%. It is worth …

… In the remainder of this work, we will assume the samples in D to come from an unknown
(… Moreover, the data set D is highly unbalanced due to the small number of failure examples. …

Radiological imaging plays a crucial role in the detection and treatment of pancreatic ductal
adenocarcinoma (PDAC). However, there are several challenges associated with the use of …

… From the above we conclude that, if we construct a matrix D … Based on D, we move on to
define the kernel between two … various configurations for the rows of D. More precisely, we have …

Egocentric action anticipation consists in predicting a future action the camera wearer will
perform from egocentric video. While the task has recently attracted the attention of the …

… It should be noted that large values for parameter γ could lead to a Lsemi = D −1/2Wsemi D
−1/2 matrix with Wsemi containing negative values. Although in this case Lsemi will not be a …

… In the context of this paper we are interested in efficient greedy solutions, thus we will
focus on certain algorithmic results that were presented in d’Aspremont et al. (2007, 2008). A …