Knight, E.C., and E.M. Bayne. 2018. Classification threshold and training data affect the quality and utility of focal species data processed with automated audio recognition software. Bioacoustics.
Ng, J.W., E.C. Knight, A.L. Scarpignato, A. Harrison, E.M. Bayne, and P.P. Marra. 2018. Full annual-cycle tracking identifies long distance migration route, nonbreeding habitat, and breeding site fidelity of a declining aerial insectivorous bird. Canadian Journal of Zoology 96(8):869-875. *Editor’s Choice
Knight, E.C., J.W. Ng, C. Mader, R.M. Brigham, and E.M. Bayne. 2018. An inordinate fondness for beetles: first description of Common Nighthawk diet for the boreal biome. The Wilson Journal of Ornithology 130(2):525-531.
Knight, E.C., K. Hannah, G. Foley, C. Scott., M. Brigham, and E.M. Bayne. 2017. Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs. Avian Conservation and Ecology 12(2):14.
Knight, E.C., R.G. Vennesland, and N.N. Winchester. 2016. Importance of proximity to foraging areas for the Pacific Great Blue Heron (Ardea herodias fannini) nesting in a developed landscape. Waterbirds 39(2).
Knight, E.C., N.A. Mahony, and D.J. Green. 2016. Effects of agricultural fragmentation on the bird community in sagebrush shrubsteppe. Agriculture, Ecosystems, and Environment 223:278-288.
Knight, E.C., N.A. Mahony, and D.J. Green. 2014. Crop type influences edge effects on the reproduction of songbirds in sagebrush habitat near agriculture. Avian Conservation and Ecology 9(1): 8.
Yip*, Knight, E.C*., H. Audete, S. Wilson, C. Charchuk, P. Solymos, and E.M. Bayne. In review. Audio sound level measurements from recognizers provide automated and objective distance estimates for distance sampling. Submitted to Remote Sensing in Ecology and Evolution. *Equal contributions
Knight, E.C., S. P. Hernandez, V. Bulitko, E.M. Bayne, B. Tucker. In review. Pre-processing spectrogram parameters improve the accuracy of birdsong classification using convolutional neural networks. Submitted to Bioacoustics.
Knight, E.C., P. Solymos, and E.M. Bayne. In review. Validation prediction: A protocol for increasing the efficiency of automated acoustic recognition. Submitted to Ecological Applications.
My full CV is available here.