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Found 4 papers, 3 papers with code
Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities
Signatures present on corporate documents are often used in investigations of relationships between persons of interest, and prior research into the task of offline signature verification has evaluated a wide range of methods on standard signature datasets.
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
Deep Learning of neural networks has progressively become more prominent in healthcare with models reaching, or even surpassing, expert accuracy levels.
Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter
Findings show that both Expectation Maximisation and CrowdTruth are only likely to give an advantage over majority vote under certain parameter conditions, while there are many cases where the methods can be shown to have no major impact.
Bayesian Stress Testing of Models in a Classification Hierarchy
Building a machine learning solution in real-life applications often involves the decomposition of the problem into multiple models of various complexity.
