News
An innovative framework that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-based universal encoding ...
I have implemented a scaling loss for my discrete game usecase. I would like to be able to hand my model a batch with a map of sequences and their associated randomness(or importance) and then scale ...
Graph representation is an important part of graph clustering. Recently, contrastive learning, which maximizes the mutual information between augmented graph views that share the same semantics, has ...
This provided a visual representation of biases, errors, limits of agreement, outliers and trends. Construct validity was analyzed using exploratory factor analysis of principal components with ...
Summary box Psychometrically assessed, Anglophone, Likert scales have recently been developed to assess implementation outcomes, including feasibility. Our study questions the suitability of using ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results