André M. Carrington

According to our database, André M. Carrington authored at least 9 papers between 2014 and 2023.

Collaborative distances:

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

2023

Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation.

André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Olivia Magwood, Yusuf Sheikh, Matthew McInnes, Andreas Holzinger

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

The ROC Diagonal is Not Layperson's Chance: A New Baseline Shows the Useful Area.

André M. Carrington, Paul W. Fieguth, Franz Mayr, Nick D. James, Andreas Holzinger, John W. Pickering, Richard I. Aviv

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation.

André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger

CoRR, 2021

2020

A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms.

André M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr, Douglas G. Manuel

BMC Medical Informatics Decis. Mak., 2020

Measuring the Quality of Explanations: The System Causability Scale (SCS).

Andreas Holzinger, André M. Carrington, Heimo Müller

Künstliche Intell., 2020

2019

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations.

Andreas Holzinger, André M. Carrington, Heimo Müller

CoRR, 2019

2018

Kernel Methods and Measures for Classification with Transparency, Interpretability and Accuracy in Health Care.

André M. Carrington

PhD thesis, 2018

Measures of Model Interpretability for Model Selection.

André M. Carrington, Paul W. Fieguth, Helen H. Chen

Proceedings of the Machine Learning and Knowledge Extraction, 2018

2014

A new Mercer sigmoid kernel for clinical data classification.

André M. Carrington, Paul W. Fieguth, Helen H. Chen

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014