Summary of Parkinson’s Disease Classification Via Eeg: All You Need Is a Single Convolutional Layer, by Md Fahim Anjum
Parkinson’s Disease Classification via EEG: All You Need is a Single Convolutional Layerby Md Fahim…
Parkinson’s Disease Classification via EEG: All You Need is a Single Convolutional Layerby Md Fahim…
Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detectionby Ik Jun Moon, Junho…
Evaluating Text Classification Robustness to Part-of-Speech Adversarial Examplesby Anahita Samadi, Allison SullivanFirst submitted to arxiv…
LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language…
Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusionby Peiyuan Chen, Zecheng Zhang,…
A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa…
ClassiFIM: An Unsupervised Method To Detect Phase Transitionsby Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell, Utkarsh…
Attention is all you need for an improved CNN-based flash flood susceptibility modeling. The case…
Using a CNN Model to Assess Paintings’ Creativityby Zhehan Zhang, Meihua Qian, Li Luo, Qianyi…
Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformerby Venkat Margapuri, Prapti Thapaliya, Trevor…