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Found 7 papers, 1 papers with code
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
The first class, RL4LLM, includes studies where RL is leveraged to improve the performance of LLMs on tasks related to Natural Language Processing.
AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score
Background: Recent studies have used basic epicardial adipose tissue (EAT) assessments (e. g., volume and mean HU) to predict risk of atherosclerosis-related, major adverse cardiovascular events (MACE).
Insights into Age-Related Functional Brain Changes during Audiovisual Integration Tasks: A Comprehensive EEG Source-Based Analysis
We aimed to understand how aging affects brain activation and functional connectivity among hubs during audio-visual tasks.
Comparing intervention measures in a model of a disease outbreak on a university campus
We find that the two most effective interventions to limit the severity of a disease outbreak are reducing extra-household mixing and surveillance testing backed-up by a moderate isolation period.
Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task
A correlation-based functional connectivity analysis is done, and the changes among different age groups including: young (18-25 years), transition from young to middle age (25-33 years), and medium (33-41 years), are observed.
Reorganization of resting state brain network functional connectivity across human brain developmental stages
The changes in overall resting-state brain functional connectivity with changes in brain developmental stages have also been explored using BrainNet Viewer.
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis
In order to accelerate, compressed sensing based techniques have been proposed.
