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Outputs (276)

Towards Equal Gender Representation in the Annotations of Toxic Language Detection (2021)
Presentation / Conference Contribution
Excell, E., & Al Moubayed, N. (2021, August). Towards Equal Gender Representation in the Annotations of Toxic Language Detection. Presented at 3rd Workshop on Gender Bias in Natural Language Processing (GeBNLP2021), International Joint Conference on Natural Language Processing (INCNLP2021), Bangkok, Thailand

Classifiers tend to propagate biases present in the data on which they are trained. Hence, it is important to understand how the demographic identities of the annotators of comments affect the fairness of the resulting model. In this paper, we focus... Read More about Towards Equal Gender Representation in the Annotations of Toxic Language Detection.

Hearing: Bodies Resounding in Decadent Literature (2021)
Book Chapter
Riddell, F. (2021). Hearing: Bodies Resounding in Decadent Literature. In J. Desmarais, & D. Weir (Eds.), Oxford Handbook of Decadence (507-524). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190066956.013.25

This article explores the significance of the body in decadent writing about music. It focuses on the fictional and nonfictional writings of the American journalist and critic James Gibbons Huneker (1857–1921). Huneker’s texts demonstrate the strikin... Read More about Hearing: Bodies Resounding in Decadent Literature.

Dental microstructure records life history events: A histological study of mandrills (Mandrillus sphinx) from Gabon (2021)
Journal Article
Lemmers, S. A., Dirks, W., Street, S. E., Ngoubangoye, B., Herbert, A., & Setchell, J. M. (2021). Dental microstructure records life history events: A histological study of mandrills (Mandrillus sphinx) from Gabon. Journal of Human Evolution, 158, Article 103046. https://doi.org/10.1016/j.jhevol.2021.103046

Accentuated lines in dental microstructure are hypothesized to correlate with potentially stressful life history events, but our understanding of when, how and why such accentuated lines form in relation to stressful events is limited. We examined ac... Read More about Dental microstructure records life history events: A histological study of mandrills (Mandrillus sphinx) from Gabon.

Dominance style is a key predictor of vocal use and evolution across nonhuman primates (2021)
Journal Article
Kavanagh, E., Street, S. E., Angwela, F. O., Bergman, T. J., Blaszczyk, M. B., Bolt, L. M., Briseño-Jaramillo, M., Brown, M., Chen-Kraus, C., Clay, Z., Coye, C., Thompson, M. E., Estrada, A., Fichtel, C., Fruth, B., Gamba, M., Giacoma, C., Graham, K. E., Green, S., Grueter, C. C., …Slocombe, K. (2021). Dominance style is a key predictor of vocal use and evolution across nonhuman primates. Royal Society Open Science, 8(7), Article 210873. https://doi.org/10.1098/rsos.210873

Animal communication has long been thought to be subject to pressures and constraints associated with social relationships. However, our understanding of how the nature and quality of social relationships relates to the use and evolution of communica... Read More about Dominance style is a key predictor of vocal use and evolution across nonhuman primates.

What styles of reasoning are important in primary English? (2021)
Journal Article
Oliver, M. (2021). What styles of reasoning are important in primary English?. The Curriculum Journal, 32(4), 704-721. https://doi.org/10.1002/curj.120

The importance of teaching reasoning in schools is widely recognised. Yet this has presented teachers with difficulties, particularly in primary education. Difficulties partially stem from a lack of cohesive theory about reasoning for education and a... Read More about What styles of reasoning are important in primary English?.

Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning (2021)
Presentation / Conference Contribution
Watson, M., & Al Moubayed, N. (2021, January). Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. Presented at The 25th International Conference on Pattern Recognition (ICPR2020), Milan, Italy

Explainable machine learning has become increasingly prevalent, especially in healthcare where explainable models are vital for ethical and trusted automated decision making. Work on the susceptibility of deep learning models to adversarial attacks h... Read More about Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning.

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records (2021)
Journal Article
Alhassan, Z., Watson, M., Budgen, D., Alshammari, R., Alessa, A., & Al Moubayed, N. (2021). Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records. JMIR Medical Informatics, 9(5), Article e25237. https://doi.org/10.2196/25237

Background: Predicting the risk of glycated hemoglobin (HbA1c) elevation can help identify patients with the potential for developing serious chronic health problems such as diabetes. Early preventive interventions based upon advanced predictive mode... Read More about Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records.