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Found 4 papers, 2 papers with code
Diverse Explanations from Data-driven and Domain-driven Perspectives for Machine Learning Models
Explanations of machine learning models are important, especially in scientific areas such as chemistry, biology, and physics, where they guide future laboratory experiments and resource requirements.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Exploring the cloud of feature interaction scores in a Rashomon set
Thus, we recommend exploring feature interaction strengths in a model class of approximately equally accurate predictive models.
Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images
In this work, we propose a technique for simultaneous hand gesture classification, handedness detection, and hand keypoints localization using thermal data captured by an infrared camera.
Variance Tolerance Factors For Interpreting ALL Neural Networks
Black box models only provide results for deep learning tasks, and lack informative details about how these results were obtained.
