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Reinforcement learning (RL) is gaining a foothold in artificial intelligence-based research academia. More and more applications are coming to fore where RL is being applied in a novel and successful manner. As the areas of application are diverse, one important area of industrial and research...
Learning with chest diseases and their classification, segmentation, localization, annotation, and abnormality detection are challenging and exciting research objectives. Over the past few years, different researchers have come with various learning techniques for improving performance in chest...
The World Wide Web has become a popular source to gather information and news. Multimodal information, e.g., supplement text with photographs, is typically used to convey the news more effectively or to attract attention. The photographs can be decorative, depict additional details, but might...
In this paper, our aim is to provide human understandable intuitive factual and counterfactual explanations for the decisions of neural networks. Humans tend to reinforce their decisions by providing attributes and counterattributes. Hence, in this work, we utilize attributes as well as examples...
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