Special Issue: Machine Learning and Data Analysis

Special issue on machine learning and data engineering in robotics

With the growth of sensor data and networked devices, machine learning has been gaining interest both in robotics and many other disciplines. The collaboration between machine learning and data engineering in robotics could have a strong impact on the way robots or services help our lives as well as on deepening our understanding of human intelligence. This special issue attempts to showcase st...

Hybrid and Ensemble Methods in Machine Learning J.UCS Special Issue

Hybrid and ensemble methods in machine learning have attracted a great attention of the scientific community over the last years [Zhou, 12]. Multiple, ensemble learning models have been theoretically and empirically shown to provide significantly better performance than single weak learners, especially while dealing with high dimensional, complex regression and classification problems [Brazdil,...

Special Issue on Biomedical Big Data: Understanding, Learning and Applications

BIOMEDICAL imaging is an essential component in various fields of biomedical research and clinical practice. The study of biologists requires continuous monitoring of cell behavior under microscope. Neuroscientists detect regional metabolic brain activity from positron emission tomography (PET), functional magnetic resonance imaging (MRI), and magnetic resonance spectrum imaging (MRSI) scans. D...

Special Issue

Special Issue on Fuzzy Data Analysis and Decision Making

Real-world problems are always complex and with the presence of uncertainty. The fuzzy technologies embedded into the methodologies of data analysis and decision making processes may help deal with such difficult problems. This issue of the International Journal of Fuzzy System Applications, a high-quality scientific journal, is special issue that provides researchers and practitioners an oppor...