A review of supervised machine learning algorithms

A Singh, N Thakur, A Sharma - 2016 3rd international …, 2016 - ieeexplore.ieee.org
Supervised machine learning is the construction of algorithms that are able to produce
general patterns and hypotheses by using externally supplied instances to predict the fate of …

[HTML][HTML] A little bird told me your gender: Gender inferences in social media

E Fosch-Villaronga, A Poulsen, RA Søraa… - Information Processing …, 2021 - Elsevier
Online and social media platforms employ automated recognition methods to presume user
preferences, sensitive attributes such as race, gender, sexual orientation, and opinions …

Auto-essentialization: Gender in automated facial analysis as extended colonial project

MK Scheuerman, M Pape, A Hanna - Big Data & Society, 2021 - journals.sagepub.com
Scholars are increasingly concerned about social biases in facial analysis systems,
particularly with regard to the tangible consequences of misidentification of marginalized …

Reflexive data curation: Opportunities and challenges for embracing uncertainty in human–AI collaboration

A Arzberger, ML Lupetti, E Giaccardi - ACM Transactions on Computer …, 2024 - dl.acm.org
This article presents findings from a Research through Design investigation focusing on a
reflexive approach to data curation and the use of generative AI in design and creative …

Exploring gender differences in computational thinking learning in a vr classroom: Develo** machine learning models using eye-tracking data and explaining the …

H Gao, L Hasenbein, E Bozkir, R Göllner… - International Journal of …, 2023 - Springer
Understanding existing gender differences in the development of computational thinking
skills is increasingly important for gaining valuable insights into bridging the gender gap …

Face masks affect emotion categorisation, age estimation, recognition, and gender classification from faces

HK Wong, AJ Estudillo - Cognitive research: principles and implications, 2022 - Springer
Although putting on a mask over our nose and mouth is a simple but powerful way to protect
ourselves and others during a pandemic, face masks may interfere with how we perceive …

Deep learning-based gender classification by training with fake data

M Oulad-Kaddour, H Haddadou, CC Vilda… - IEEE …, 2023 - ieeexplore.ieee.org
Gender classification of human faces is a trending topic and a remarkable biometric task.
This research area has useful applications in several fields, such as automated border …

Gendering algorithms in social media

E Fosch-Villaronga, A Poulsen, RA Søraa… - ACM SIGKDD …, 2021 - dl.acm.org
Social media platforms employ inferential analytics methods to guess user preferences and
may include sensitive attributes such as race, gender, sexual orientation, and political …

The case for establishing a collective perspective to address the harms of platform personalization

A Gordon-Tapiero, A Wood, K Ligett - Proceedings of the 2022 …, 2022 - dl.acm.org
Personalization on digital platforms drives a broad range of harms, including misinformation,
manipulation, social polarization, subversion of autonomy, and discrimination. In recent …

A hybrid technique for gender classification with SLBP and HOG features

M Annalakshmi, SMM Roomi, AS Naveedh - Cluster Computing, 2019 - Springer
Gender classification from facial images plays a significant role in biometric technology viz.
gender medicine, surveillance, electronic banking system and human computer interaction …