Identifying potential threats concealed within the baggage is of prime concern for security staff. Many researchers have developed frameworks that can automatically detect from X-ray scans. However, to best our knowledge, all these require extensive training efforts on large-scale and well-annotated datasets, which are hard procure in real world, especially rarely seen contraband items. This pa...

In recent years, there has been a rapidly expanding focus on explaining the predictions made by black-box AI systems that handle image and tabular data. However, considerably less attention paid to of opaque handling time series this paper, we advance novel model-agnostic, case-based technique – Native Guide generates counterfactual explanations for classifiers. Given query series, \(T_{q}\), w...

Abstract We investigate an important research question for solving the car sequencing problem, that is, which characteristics make instance hard to solve? To do so, we carry out space analysis by extracting a vector of problem features characterize instance. In order visualize space, feature vectors are projected onto 2-D using dimensionality reduction techniques. The resulting visualizations p...