Hillary Dawkins
Hillary Dawkins
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Zitiert von
Zitiert von
Uniqueness of quantum states compatible with given measurement results
J Chen, H Dawkins, Z Ji, N Johnston, D Kribs, F Shultz, B Zeng
Physical Review A—Atomic, Molecular, and Optical Physics 88 (1), 012109, 2013
Diffusion Monte Carlo study of strongly interacting two-dimensional Fermi gases
A Galea, H Dawkins, S Gandolfi, A Gezerlis
Physical Review A 93 (2), 023602, 2016
Qutrit magic state distillation tight in some directions
H Dawkins, M Howard
Physical review letters 115 (3), 030501, 2015
Impact of scaffolding and question structure on the gender gap
H Dawkins, H Hedgeland, S Jordan
Physical Review Physics Education Research 13 (2), 020117, 2017
Investigating male bias in multiple choice questions: contrasting formative and summative settings
H Hedgeland, H Dawkins, S Jordan
European Journal of Physics 39 (5), 055704, 2018
Marked attribute bias in natural language inference
H Dawkins
arXiv preprint arXiv:2109.14039, 2021
Combining and estimation with randomized benchmarking and bounding the diamond distance
H Dawkins, J Wallman, J Emerson
Physical Review A 102 (2), 022220, 2020
Small codes for magic state distillation
M Howard, H Dawkins
The European Physical Journal D 70, 1-5, 2016
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification
H Dawkins, I Nejadgholi
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
A protocol for observation of computational thinking
J Lange, J McCuaig, H Dawkins
13th annual International Conference of Education, Research and Innovation …, 2020
Design and evaluation of answer-until-correct integrated testlets in software design education
H Dawkins, C West, J Lange, C August, E Doherty, J McCuaig, D Gillis
13th annual International Conference of Education, Research and Innovation …, 2020
Problem Solving Workshop
H Dawkins, G Chapman-Brown, J McCuaig
Proceedings of the Western Canadian Conference on Computing Education, 1-1, 2019
Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community
B Herman, G Proksch, R Berney, H Dawkins, J Kovacs, Y Ma, J Rich, ...
arXiv preprint arXiv:1710.02447, 2017
Visualizing Equity: A Data Science for Social Good Tool and Model for Seattle
R Berney, B Herman, G Proksch, H Dawkins, J Kovacs, Y Ma, J Rich, ...
Data Science for Social Good Conference, Chicago, Illinois USA. https://www …, 0
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods
KC Fraser, H Dawkins, S Kiritchenko
arXiv preprint arXiv:2406.15583, 2024
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
H Dawkins, I Nejadgholi, D Gillis, J McCuaig
arXiv preprint arXiv:2403.18803, 2024
Detection and Mitigation of Gender Bias in Natural Language Processing
H Dawkins
University of Guelph, 2023
Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution
H Dawkins
arXiv preprint arXiv:2109.14047, 2021
Just in time teaching methods in software engineering
C West, C August, H Dawkins, J Lange, J McCuaig, E Doherty, D Gillis
EDULEARN21 Proceedings, 8224-8232, 2021
Validation of an expert problem-solving behaviour scale for computer science education
H Dawkins, J McCuaig, D Gillis
13th annual International Conference of Education, Research and Innovation …, 2020
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