Deep neural networks have recently drawn considerable attention to build...
This study proposes a novel multi-objective integer programming model fo...
Metaheuristic algorithms (MAs) have seen unprecedented growth thanks to ...
Metaheuristic algorithms (MAs) have seen unprecedented growth thanks to ...
Time series classification (TSC) is the area of machine learning interes...
Time series classification (TSC) is the area of machine learning interes...
Purpose: Manual feedback from senior surgeons observing less experienced...
Autodock is a widely used molecular modeling tool which predicts how sma...
Transfer learning for deep neural networks is the process of first train...
Time Series Classification (TSC) is an important and challenging problem...
Data augmentation in deep neural networks is the process of generating
a...
The need for automatic surgical skills assessment is increasing, especia...