South America
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark Brianna M. Karpowicz 1,2 Joel Y e
However, progress is limited by a lack of standardized datasets and comparison metrics, causing methods to be compared in an ad hoc manner.
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
Convolutional Neural Networks (CNNs) (LeCun et al., 1989) have become a widely used and powerful tool for computer vision tasks, in large part due to their ability to achieve translation
Y ouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis Supplementary Material
We include all our annotations and extracted landmarks. This ensures that we uphold the highest standards of ethical data usage. In Table A1, we summarize the severity label distribution in Y ouTubePD. We also summarize the demographic distribution in Y ouTubePD, split between PD-positive and healthy control (HC), or PD-negative, subjects. This decision is based on the clinician's suggestion, since an accurate UPDRS facial expression rating would require more This strategy also allows for a finer classification.
Y ouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis Andy Zhou 1 Samuel Li
The healthcare and AI communities have witnessed a growing interest in the development of AI-assisted systems for automated diagnosis of Parkinson's Disease
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Despite the rich potential for innovation, the learning process of algorithms under real-world conditions is a challenge [1, 38, 46].
MarioGPT: Open-Ended T ext2Level Generation through Large Language Models
Procedural Content Generation (PCG) is a technique to generate complex and diverse environments in an automated way.