Multi-label classification with a reject option

By Ignazio Pillai, Giorgio Fumera, Fabio Roli. 2013

60 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Evaluation & Benchmarks

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. Battista Biggio
2. Fabio Roli
3. Giorgio Fumera
4. Giorgio Giacinto
5. Davide Maiorca
6. Ambra Demontis
7. Nicholas Carlini
8. Nicolas Papernot

In Information Systems

1. Fabio Roli
2. Battista Biggio
3. Giorgio Fumera
4. Giorgio Giacinto
5. Blaine Nelson
6. Davide Maiorca
7. Joseph Gardiner
8. Shishir Nagaraja

In Evaluation & Benchmarks

1. Battista Biggio
2. Fabio Roli

Citations in the corpus

• Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning (2017, background): “In practice, this is a simple consequence of the stationarity assumption underlying many machine-learning algorithms (according to which training and test data come from the same distribution) [107, 108], and such rejection-based defenses simply aim to overcome this issue.”