Reducing Data Complexity using Autoencoders with Class-informed Loss Functions

David Charte, Francisco Charte, Francisco Herrera

Available data in machine learning applications is becoming increasingly complex, due to higher dimensionality and difficult classes. There exists a wide variety of approaches to m…