531 citations · 1.6k across the 49 of their papers we have counts for
11 papers · 1 filter
Adaptive deep learning framework for robust unsupervised underwater image enhancement
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
One of the main challenges in deep learning-based underwater image enhancement is the limited availability of high-quality training data. Underwater images are difficult to capture…
A lightweight Transformer-based model for fish landmark detection
Alzayat Saleh, David Jones, Dean Jerry +1
Transformer-based models, such as the Vision Transformer (ViT), can outperform onvolutional Neural Networks (CNNs) in some vision tasks when there is sufficient training data. Howe…
Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices
Gideon Vos, Kelly Trinh, Zoltan Sarnyai +1
Introduction. We investigate the generalization ability of models built on datasets containing a small number of subjects, recorded in single study protocols. Next, we propose and…
Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Gideon Vos, Kelly Trinh, Zoltan Sarnyai +1
Introduction. The stress response has both subjective, psychological and objectively measurable, biological components. Both of them can be expressed differently from person to per…
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
Chenqi Li, Corey Lammie, Xuening Dong +3
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware imple…
Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
Marine ecosystems and their fish habitats are becoming increasingly important due to their integral role in providing a valuable food source and conservation outcomes. Due to their…