Latest AI and machine learning research in surveys for healthcare professionals.
Model Extraction Attacks (MEAs) threaten modern machine learning systems by enabling adversaries to steal models, exposing intellectual property and training data. With the increasing deployment of machine learning models in distributed computing environments, including cloud, edge, and federated learning settings, each paradigm introduces distinct vulnerabilities and challenges. Without a unifi...
In precision agriculture and plant science, there is an increasing demand for wireless sensors that are easy to deploy, maintain, and monitor. This paper investigates a novel approach that leverages recent advances in extremely low-power wireless communication and sensing, as well as the rapidly increasing availability of unmanned aerial vehicle (UAV) platforms. By mounting a specialized wireles...
The application of large language models (LLMs) in healthcare has the potential to revolutionize clinical decision-making, medical research, and pat...
There has been significant prior work using templates to study bias against demographic attributes in MLMs. However, these have limitations: they ov...
Audio classification is paramount in a variety of applications including surveillance, healthcare monitoring, and environmental analysis. Traditiona...
Ensuring the reliability of Large Language Models (LLMs) in complex reasoning tasks remains a formidable challenge, particularly in scenarios that d...
Generative Artificial Intelligence (GenAI) applies models and algorithms such as Large Language Model (LLM) and Foundation Model (FM) to generate ne...
Heart rate (HR) estimation via remote photoplethysmography (rPPG) offers a non-invasive solution for health monitoring. However, traditional single-...
At the end of 2019, an outbreak of a novel coronavirus was reported in China, leading to the COVID-19 pandemic. In Spain, the first cases were detec...
Large language models (LLMs) increasingly serve as interactive healthcare resources, yet user acceptance remains underexplored. This study examines ...
Recent advancements in generative models have significantly facilitated the development of personalized content creation. Given a small set of image...
The recent advances in large language models (LLMs) have revolutionized industries such as finance, marketing, and customer service by enabling soph...
Discrete tokenizers have emerged as indispensable components in modern machine learning systems, particularly within the context of autoregressive m...
Text-to-Image (T2I) models have made remarkable progress in generating high-quality, diverse visual content from natural language prompts. However, ...
With the rapid expansion of the Internet of Things (IoT), sensors, smartphones, and wearables have become integral to daily life, powering smart app...
The integration of large language models (LLMs) on low-power edge devices such as Raspberry Pi, known as edge language models (ELMs), has introduced...
Large Language Models (LLMs) are transforming healthcare through the development of LLM-based agents that can understand, reason about, and assist w...
The comprehensibility and reliability of data download packages (DDPs) provided under the General Data Protection Regulation's (GDPR) right of acces...
Mental health remains a critical global challenge, with increasing demand for accessible, effective interventions. Large language models (LLMs) offe...
Bias issues of neural networks garner significant attention along with its promising advancement. Among various bias issues, mitigating two predomin...