Hypernasal speech is a common symptom across several neurological disorders; however it
has a variable acoustic signature, making it difficult to quantify acoustically or perceptually …

In supervised learning scenarios, some applications require solve a classification problem
wherein labels are not given as a single ground truth. Instead, the criteria of a set of experts …

In recent years, there has been an increasing interest in the design of pattern recognition
systems able to deal with labels coming from multiple sources. To avoid bias during the …

The primary goal for supervised machine learning techniques is to make accurate
predictions or classifications based on prior knowledge about the relationships between the …

This work introduces a multi-labeler kernel novel approach for data classification learning
from multiple labelers. The learning process is done by training support-vector machine …

This work introduces a multi-labeler kernel novel approach for data classification learning
from multiple labelers. The learning process is done by training support-vector machine …

This work presents a new method proposal applied to Multi-Labelers scenarios. This is a
situation where labelling individuals in a set of data based on certain characteristics in the …