Latest AI and machine learning research in surveys for healthcare professionals.
Efforts to mitigate bias and enhance fairness in the artificial intelligence (AI) community have p...
Deep neural networks (DNNs) suffer from the spectral bias, wherein DNNs typically exhibit a tenden...
Text-to-Image generative systems are progressing rapidly to be a source of advertisement and media...
News outlets, surveyors, and other organizations often conduct polls on social networks to gain in...
For decades, the Bj{\o}ntegaard Delta (BD) has been the metric for evaluating codec Rate-Distortio...
Knowledge Distillation is a commonly used Deep Neural Network (DNN) compression method, which ofte...
Text-To-Image (TTI) Diffusion Models such as DALL-E and Stable Diffusion are capable of generating...
Machine learning models can capture and amplify biases present in data, leading to disparate test ...
Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Di...
Reliability in cell type annotation is challenging in single-cell RNA-sequencing data analysis bec...
Recommender systems are essential for personalizing digital experiences on e-commerce sites, strea...
Autism Spectrum Disorder (ASD) affects children's social and communication abilities, with eye-tra...
With the growing adoption of Text-to-Image (TTI) systems, the social biases of these models have c...
In the real world, where information is abundant and diverse across different modalities, understa...
Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of ...
Large language models (LLMs) increasingly reach real-world applications, necessitating a better un...
The explosive growth of multimedia content in the digital economy era has brought challenges in co...
Drowsiness detection holds paramount importance in ensuring safety in workplaces or behind the whe...
The rapid advancements in AI technologies have revolutionized the production of graphical content ...
The paper discusses biases in medical imaging analysis, particularly focusing on the challenges pose...
The rapid development of text-to-image generation has brought rising ethical considerations, espec...