266 citations · 347 across the 22 of their papers we have counts for
5 papers · 1 filter
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and spec…
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman +2
Machine learning-based medical anomaly detection is an important problem that has been extensively studied. Numerous approaches have been proposed across various medical applicatio…
Memory based fusion for multi-modal deep learning
Darshana Priyasad, Tharindu Fernando, Simon Denman +2
The use of multi-modal data for deep machine learning has shown promise when compared to uni-modal approaches with fusion of multi-modal features resulting in improved performance…
Improved Reinforcement Learning with Curriculum
Joseph West, Frederic Maire, Cameron Browne +1
Humans tend to learn complex abstract concepts faster if examples are presented in a structured manner. For instance, when learning how to play a board game, usually one of the fir…
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
This paper presents a novel framework for predicting shot location and type in tennis. Inspired by recent neuroscience discoveries we incorporate neural memory modules to model the…