André M. Carrington

Ph.D M.Math P.Eng


Carrington AM, Fieguth PW, Mayr F, James N, Holzinger A, Pickering JW, Aviv RI. The ROC Diagonal is Not Layperson's Chance: A New Baseline Shows the Useful Area. In: Holzinger, A., Kieseberg, P., Tjoa, A.M., Weippl, E. (eds) Machine Learning and Knowledge Extraction. CD-MAKE 2022. Lecture Notes in Computer Science, vol 13480. Springer, Cham.
tweetorial, presentation, tool & demo, PyPI code: pip install bayesianroc, Github code, download stats

Walker MC, Willner I, Miguel O, Murphy MSQ, El-Chaar D, Moretti F, Dingwall Harvey ALJ, Rennicks White R, Muldoon KA, Carrington AM, Hawken S, Aviv RI. Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester. 2022. PLOS ONE 17(6): e0269323.

Carrington AM, Manuel DG, Fieguth PW, Ramsay T, Osmani V, Wernly B, Bennett C, Hawken S, McInnes M, Magwood O, Sheikh Y, Holzinger A. Deep ROC Analysis and AUC as Balanced Average Accuracy for Improved Classifier Audit, Selection and Explanation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Early Access, Jan 25, 2022. doi:10.1109/TPAMI.2022.3145392
tool & demo, presentation, website, PyPI code: pip install deeproc, Github code, download stats

Carrington AM, Manuel DG, Bennett C. FAIR Access to Personal Health Information in Private and Public COVID-19 Health Applications. Authorea. October 28, 2020. doi:10.22541/au.160391056.64115187/v1

Grant L, Joo P, Carrington A, Nemnom M, Thiruganasambandamoorthy V. Risk-stratification of emergency department syncope by artificial intelligence using machine learning: human, statistics or machine in CAEP/ACMU 2020 Scientific Abstracts June 1st - 4th, 2020, Ottawa, Ontario. CJEM, 22(S1), S1-S1. doi:10.1017/cem.2020.44

Carrington AM, Fieguth PW, Qazi H, Holzinger A, Chen HH, Mayr F and Manuel DG. A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms, BMC Medical Informatics and Decision Making 20, 4 (2020) doi:10.1186/s12911-019-1014-6.
errata, code, keynote presentation, presentation

Holzinger A, Carrington AM, Müller H. Measuring the Quality of Explanations: The System Causability Scale (SCS). Künstliche Intelligenz (German Journal of Artificial Intelligence), 34 (2), 2020. doi:10.1007/s13218-020-00636-z

Carrington AM. Kernel methods and measures for classification with transparency, interpretability and accuracy in health care. (Ph.D dissertation). University of Waterloo. UWSpace. 2018.

Carrington AM, Fieguth PW, and Chen HH. Measures of model interpretability for model selection. In International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Springer, 2018.
preprint, presentation

Carrington AM, Fieguth P, Chen H. A New Mercer Sigmoid Kernel for Clinical Data Classification. In Engineering in Medicine and Biology Society (EMBC), 2014. 36th Annual International Conference of the IEEE (pp. 6397-6401). IEEE.
preprint, presentation

Previous Career

Carrington AM, Zhu M. Privacy and security technology in secondary use of health information. Technical Report (section). University of Waterloo, 2019.

Bojicic S, Paré D, Caron R, Carrington AM, and MacKenzie L, et al. Canada Health Infoway: Transport Layer Interoperability Specification - Canadian Draft for Use, 2011. related presentation (TLI security)

Mussi J, Carrington AM, et al. Electronic medical record specification. Canada Health Infoway, 2010.

Petersen I, Carrington AM, Banghart J, et al. Center for Internet Security: Wireless Security benchmark v1.0, 2005. Linksys addendum

Google Scholar Profile

My Google scholar citations