Most synthetic data sets are generated on the basis of real-world data, and the entire data production chain from data collection to elaboration introduces biases into the original data sets. 64 Like ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Data augmentation refers to a set of techniques that modify existing data instances to create new, synthetic samples. These techniques involve applying a range of transformations such as rotation, ...

While advances in artificial intelligence have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace, according to experts on a recent Insurtech ...