Taylor, Graham W.

Improved regularization of convolutional neural networks with cutout

DeVries, T., & Taylor, G. W. (2017) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 2,776

Deep multimodal learning: a survey on recent advances and trends

Ramachandram, D., & Taylor, G. W. (2017) · IEEE Signal Processing Magazine

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 1,139

Federated Learning and Differential Privacy for Medical Image Analysis

Adnan, M., Kalra, S., Cresswell, J. C., Taylor, G. W., & Tizhoosh, H. (2021) · Scientific Reports

Privacy-Preserving Technologies in DataAI in cancer detection

Cited by 464

Past, present and future approaches using computer vision for animal re‐identification from camera trap data

Schneider, S., Taylor, G. W., Linquist, S., & Kremer, S. C. (2019) · Methods in Ecology and Evolution

Wildlife Ecology and ConservationVideo Surveillance and Tracking Methods

Cited by 245

A Multi-scale Approach to Gesture Detection and Recognition

Neverova, N., Wolf, C., Paci, G., Sommavilla, G., Taylor, G. W., & Nebout, F. (2013) · 2013 IEEE International Conference on Computer Vision Workshops

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 52

SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells

Kumar, D., Sankar, V., Clausi, D., Taylor, G. W., & Wong, A. (2019) · IEEE Access

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 26