Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …

Regression is an important branch of engineering data mining tasks, aiming to establish a
regression model to predict the output of interest based on the input variables. To meet the …

The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …

In machine learning, some models can make uncertain and imprecise predictions, they are
called evidential models. These models may also be able to handle imperfect labeling and …

With the increasing complexity of industrial equipment, it is urgent to provide timely
diagnosis and accurate evaluation to avoid failure. For rolling bearings, it is important to …

One of the most studied application areas of intelligent systems is the classification area,
and this is because classification covers a wide range of real-world problems. Some …

The digital podium is proving as an increasingly important area for the contemporary
development of civilization. However, it additionally engenders a rudimentary conundrum …

Groundwater is one of the most important sources of fresh water all over the world,
especially in those countries where rainfall is erratic, such as Vietnam. Nowadays, machine …

A new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is
proposed for explaining machine learning survival models. The algorithm is developed to …

Random forest is an efficient and accurate classification model, which makes decisions by
aggregating a set of trees, either by voting or by averaging class posterior probability …