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MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
We provide single and multi-modal (early and late fusion) benchmarks in the task of 12-month survival prediction in the challenging scenario of one or more missing modalities for each patient, with missing rates that range from 26$\%$ for genomics data to more than 90$\%$ for MRI.
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics
Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI.
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics
A robot's ability to provide descriptions of its decisions and beliefs promotes effective collaboration with humans.
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