Global optimization issues in deep network regression: an overview

By Laura Palagi. 2018

22 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

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. Emilio Carrizosa
2. Dolores Romero Morales
3. Cristina Molero-Río
4. Cynthia Rudin
5. Berk Ustun
6. Laura Palagi
7. Amaya Nogales-Gómez
8. Carlos Eduardo Pedreira

In Computer Vision and Pattern Recognition

1. Emilio Carrizosa
2. Dolores Romero Morales
3. Cristina Molero-Río
4. Cynthia Rudin
5. Berk Ustun
6. Laura Palagi
7. Amaya Nogales-Gómez
8. Belén Martín-Barragán

Citations in the corpus

• Mathematical optimization in classification and regression trees (2021, background): “(2020), Liberti (2020) for surveys reviewing the use of Mathematical Optimization in Machine Learning, and Carrizosa and Romero Morales (2013), Duarte Silva (2017), Palagi (2019), and Piccialli and Sciandrone (2018) for surveys focusing on specific methodologies.”