120 citations · 164 across the 6 of their papers we have counts for
11 papers
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks
Adrian Ly, Richard Dazeley, Peter Vamplew +2
Deep Q-Networks algorithm (DQN) was the first reinforcement learning algorithm using deep neural network to successfully surpass human level performance in a number of Atari learni…
Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley, Peter Vamplew, Cameron Foale +3
Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers fo…
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis
Chiranjibi Sitaula, Sunil Aryal
Because the infection by Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) causes the pneumonia-like effect in the lungs, the examination of chest x-rays can help to diagn…
A Comprehensive Survey on Outlying Aspect Mining Methods
Durgesh Samariya, Jiangang Ma, Sunil Aryal
In recent years, researchers have become increasingly interested in outlying aspect mining. Outlying aspect mining is the task of finding a set of feature(s), where a given data ob…
A new effective and efficient measure for outlying aspect mining
Durgesh Samariya, Sunil Aryal, Kai Ming Ting
Outlying Aspect Mining (OAM) aims to find the subspaces (a.k.a. aspects) in which a given query is an outlier with respect to a given dataset. Existing OAM algorithms use tradition…
HDF: Hybrid Deep Features for Scene Image Representation
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
Nowadays it is prevalent to take features extracted from pre-trained deep learning models as image representations which have achieved promising classification performance. Existin…