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Publications

2018

A Uniform Performance Index for Ordinal Classification with Imbalanced Classes

Authors
Silva, W; Pinto, JR; Cardoso, JS;

Publication
2018 International Joint Conference on Neural Networks (IJCNN)

Abstract

2018

Towards complementary explanations using deep neural networks

Authors
Silva, W; Fernandes, K; Cardoso, MJ; Cardoso, JS;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Interpretability is a fundamental property for the acceptance of machine learning models in highly regulated areas. Recently, deep neural networks gained the attention of the scientific community due to their high accuracy in vast classification problems. However, they are still seen as black-box models where it is hard to understand the reasons for the labels that they generate. This paper proposes a deep model with monotonic constraints that generates complementary explanations for its decisions both in terms of style and depth. Furthermore, an objective framework for the evaluation of the explanations is presented. Our method is tested on two biomedical datasets and demonstrates an improvement in relation to traditional models in terms of quality of the explanations generated. © Springer Nature Switzerland AG 2018.