Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming

By A. D. Sá, Alex Alves Freitas, Gisele Lobo Pappa. 2018

35 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Radwa El Shawi
2. Sherif Sakr
3. Mohamed Maher
4. Marco F. Huber
5. Marc-André Zöller
6. Li Yang
7. Abdallah Shami
8. Manjaiah Doddaghatta Huchaiah

Citations in the corpus

• Automated Machine Learning: State-of-The-Art and Open Challenges (2019, background): “Auto − MEKAGGP [26] focuses on the AutoML task for multi-label classification problem [121] that aims to learn models from data capable of representing the relationships between input attributes and a set of class labels, where each instance may belong to more than one class.”