Imad Chaabane

According to our database, Imad Chaabane authored at least 1 paper in 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.

Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016