In this work we introduce a framework, based on three-way decision (TWD) and the
trisecting-acting-outcome model, to handle uncertainty in Machine Learning (ML). We …

In this article, we survey the applications of Three-way decision theory (TWD) in machine
learning (ML), focusing in particular on four tasks: weakly supervised learning and multi …

In real cases, missing values tend to contain meaningful information that should be acquired
or should be analyzed before the incomplete dataset is used for machine learning tasks. In …

Predicting household vehicle ownership (HVO) is a crucial component of travel demand
forecasting. Furthermore, reliable HVO prediction is critical for achieving sustainable …

Introduction. Deep learning is a modern technique for image processing and data analysis
with promising results and great potential. Successfully applied in various fields, it has …

The paper presents a performance analysis of a selected few rough set–based classification
systems. They are hybrid solutions designed to process information with missing values …

Recently, the industry of healthcare started generating a large volume of datasets. If
hospitals can employ the data, they could easily predict the outcomes and provide better …

The paper proposes a method for classifying and fast retrieving images which uses boosting
metalearning to search for the most salient image features. We use local image keypoints as …

This paper presents an application of the scaled Givens rotations in the process of
feedforward artificial neural networks training. This method bases on the QR decomposition …

In this paper we present a model of optimization in a form of an algorithm which solves
optimal placement of routers in N chambers with N-1 or less connections between them in a …