Find below the presentation of the paper Beyond Homemade Artificial Data Sets by Núria Macià, Albert Orriols-Puig, and Ester Bernadó-Mansilla in the 2009 Hybrid Artificial Intelligence Systems (HAIS’09).

This work aims at creating boundedly difficult problems for data classification whose complexity moves through different dimensions. For this purpose, this work proposes the use of a multi-objective optimization procedure to create data sets that satisfy different criteria of complexity. Please, refer to a preprint of the paper for more information.