Now showing items 1-4 of 4
Logic-based Approaches in Explainable AI and Natural Language Understanding
Dramatic success of machine learning algorithms has led to a torrent of Artificial Intelligence (AI) applications in computer vision and natural language understanding. However, the effectiveness of these systems is limited ...
Using Machine Learning Techniques for Prediction and Data Generation with Applications to Data Privacy
Increasingly, machine learning (ML) applications are developed and become an integral part of many real-world applications. Especially, ML techniques are heavily used in research and industry to help make effective ...
Efficient Combination of Neural and Symbolic Learning for Relational Data
Much has been achieved in AI but to realize its true potential, it is imperative that the AI system should be able to learn generalizable and actionable higher-level knowledge from lowest level percepts. Inspired by this ...
Pneumothorax Segmentation of Chest X-Rays Using a Stacked Generalization Framework with Multiple Convolutional Neural Networks
With advances in deep learning research, convolutional neural networks (CNNs) have achieved state-of-the-art results in common computer vision tasks such as image classification and image segmentation. In the past decade, ...