We study potential biases of popular cluster quality metrics, such as
co...
Although models for count data with over-dispersion have been widely
con...
The problem of dealing with misreported data is very common in a wide ra...
The present paper introduces a new model used to study and analyse the s...
This work presents a content-based recommender system for machine learni...