Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann +8

Good training data is a prerequisite to develop useful ML applications. However, in many domains existing data sets cannot be shared due to privacy regulations (e.g., from medical…