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Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers’ implicit biases

Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers’ implicit biases

Exploring gender biases in ML and AI academic research through systematic literature review

Exploring gender biases in ML and AI academic research through systematic literature review

Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing

Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics

Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics

Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics

Modelling Speaker Attribution in Narrative Texts With Biased and Bias-Adjustable Neural Networks

Modelling Speaker Attribution in Narrative Texts With Biased and Bias-Adjustable Neural Networks

Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis

Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis

Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework

Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework

Human- versus Artificial Intelligence

Human- versus Artificial Intelligence

Advanced Spam Filtering in Electronic Mail Using Hybrid the Mini Batch K-Means Normalized Mutual Information Feature Elimination with Elephant Herding Optimization Technique

Advanced Spam Filtering in Electronic Mail Using Hybrid the Mini Batch K-Means Normalized Mutual Information Feature Elimination with Elephant Herding Optimization Technique

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