Search Results for author:
Found 4 papers, 2 papers with code
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
Deep reinforcement learning (RL) approaches have been broadly applied to a large number of robotics tasks, such as robot manipulation and autonomous driving.
A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal
The performance of the proposed denoising methodology has been evaluated on the synthesized noisy PCG dataset.
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks
In this article, we propose a novel technique for classification of the Murmurs in heart sound.
Towards Wide Learning: Experiments in Healthcare
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
