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Borle, Neil

Name: Borle, Neil
Title: MSc Student
Webpage: none
Interest(s): Machine Learning; Bioinformatics
1. N. Borle, M. Feghhi, E. Stroulia, R. Greiner, A. Hindle. "Analyzing The Effects of Test Driven Development In GitHub". Empirical Software Engineering, 23(4), pp 1931-1958, August 2018. view
2. B. Sen, N. Borle, R. Greiner, M. Brown. "A General Prediction Model for the Detection of ADHD and Autism using Structural and Functional MRI". PLoS One, 13(4), pp 28, April 2018. view
3. N. Borle. "The Challenge of Predicting Future Blood Glucose for Patients with Type I Diabetes". MSc Thesis, University of Alberta, November 2017. PDFview
4. S. Romansky, S. Chowdhury, A. Hindle, N. Borle, R. Greiner. "Deep Green: An Ensemble of Machine Learning Methods Predicting Mobile Energy Consumption". International Conference on Software Maintenance and Evolution, July 2017. view
5. N. Borle, S. Ravanbakhsh, T. Bjorndahl, R. Mandal, J. Grant, R. Greiner, D. Wishart. "Optimizations in BAYESIL: Fully-Automated NMR Spectral Profiling". Poster, Undergraduate Summer Research Poster Session, August 2015. view

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