The challenges of machine learning: A critical review
E Barbierato, A Gatti - Electronics, 2024 - mdpi.com
The concept of learning has multiple interpretations, ranging from acquiring knowledge or
skills to constructing meaning and social development. Machine Learning (ML) is …
skills to constructing meaning and social development. Machine Learning (ML) is …
FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?
The rapid evolution of Large Language Models (LLMs) highlights the necessity for ethical
considerations and data integrity in AI development, particularly emphasizing the role of …
considerations and data integrity in AI development, particularly emphasizing the role of …
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
Background: The rapid advancement of Machine Learning (ML) represents novel
opportunities to enhance public health research, surveillance, and decision-making …
opportunities to enhance public health research, surveillance, and decision-making …
[HTML][HTML] Potential of Large Language Models in Health Care: Delphi Study
Background A large language model (LLM) is a machine learning model inferred from text
data that captures subtle patterns of language use in context. Modern LLMs are based on …
data that captures subtle patterns of language use in context. Modern LLMs are based on …
FATE: Learning Effective Binary Descriptors with Group Fairness
Hashing has received significant interest in large-scale data retrieval due to its outstanding
computational efficiency. Of late, numerous deep hashing approaches have emerged, which …
computational efficiency. Of late, numerous deep hashing approaches have emerged, which …
SFFL: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions
Federated Learning (FL) has been proven to show biased predictions against certain
demographic groups, such as sex or race. Recent advances in improving fairness in …
demographic groups, such as sex or race. Recent advances in improving fairness in …
Arabic text detection: a survey of recent progress challenges and opportunities
The Arabic language plays a crucial role in the world after becoming the sixth official
language of the United Nations (UN). In the last ten years, there has been a rising growth in …
language of the United Nations (UN). In the last ten years, there has been a rising growth in …
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
This study investigates how machine learning (ML) models can predict hospital
readmissions for diabetic patients fairly and accurately across different demographics (age …
readmissions for diabetic patients fairly and accurately across different demographics (age …