Search Results for author:
Found 5 papers, 1 papers with code
Deep Reinforcement Learning for Multi-class Imbalanced Training
With the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced.
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
Teaching artificial intelligence (AI) is challenging.
Turath-150K: Image Database of Arab Heritage
As a consequence of Turath, we hope to engage machine learning researchers in under-represented regions, and to inspire the release of additional culture-focused databases.
Cultural Vocal Bursts Intensity Prediction
Image Classification
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning
In this work, we aim to utilise patient data extracted from multiple hospital data centres to train a machine learning model without sacrificing patient privacy.
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Accurate and reliable prediction of hospital admission location is important due to resource-constraints and space availability in a clinical setting, particularly when dealing with patients who come from the emergency department.
