In recent years, smart learning environments have become central to modern education and
support students and instructors through tools based on prediction and recommendation …

This paper presents various machine learning methods with different text features that are
explored and evaluated to determine the authorship of the texts in the example of the …

State-of-the-art technologies for clinical knowledge extraction are essential in a clinical
decision support system (CDSS) to make a prediction of a diagnosis. Automatic analysis of a …

The authors used various methods and models in the computer system for text author
recognition to recognize the authorship of texts via the example of Azerbaijani writers. They …

Precision medicine is the new perspective in healthcare that requires a personalized
diagnosis and treatment plan for a patient. This new approach mandates that clinical …

The paper presents classification results of a hierarchically organized document corpus in
Serbian, by using Support Vector Machine method (SVM). Two techniques have been …

У компmютерній системі розпізнавання авторства текстів застосовано різномаr нітні
методи та моделі для визначення авторів на прикладах текстів письменників …

U svetu u kome ˇzivimo, internet i digitalni zapis uˇcinili su da ogromne koliˇcine sirovih
podataka postanu dostupne ˇsirokoj javnosti. Jedan ameriˇcki menadˇzer je joˇs davno …

In the past many decades, the escalating threat of malicious mobile agents has been calling
for the automated techniques of malicious mobile agent detection. The machine learning …

In this paper, we propose a method to detect spam tweets containing unhealthy information
by using an n-gram dictionary under limited labeling. Spam tweets that contain unhealthy …