Relational information between different types of entities is often mode...
As the complexity of machine learning (ML) models increases and the
appl...
The design of intuitive three-dimensional user interfaces is vital for
i...
The use of head-mounted display technologies for virtual reality experie...
We present a case study investigating feature descriptors in the context...
Stacking (or stacked generalization) is an ensemble learning method with...
Despite the tremendous advances in machine learning (ML), training with
...
Bagging and boosting are two popular ensemble methods in machine learnin...
The machine learning (ML) life cycle involves a series of iterative step...
During the training phase of machine learning (ML) models, it is usually...
In machine learning (ML), ensemble methods such as bagging, boosting, an...
t-Distributed Stochastic Neighbor Embedding (t-SNE) for the visualizatio...
The visualization of a network influences the quality of the mental map ...
These are the revised accepted papers from the 26th International Sympos...