120 citations · 347 across the 16 of their papers we have counts for
17 papers
Omnidirectional Video Super-Resolution using Deep Learning
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund +1
Omnidirectional Videos (or 360° videos) are widely used in Virtual Reality (VR) to facilitate immersive and interactive viewing experiences. However, the limited spatial resolution…
Ensemble Elastic DQN: A Step Dependent Ensemble Approach for Reducing Overestimation in Deep Value-Based Reinforcement Learning
Adrian Ly, Richard Dazeley, Peter Vamplew +2
Deep Q-Networks (DQN) can suffer from overestimation bias because bootstrapped targets use a maximisation operation over noisy value estimates. Ensemble-based methods and multi-ste…
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin
Brain tumors present a grave risk to human life, demanding precise and timely diagnosis for effective treatment. Inaccurate identification of brain tumors can significantly diminis…
SHINE: Deep Learning-Based Accessible Parking Management System
Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal +3
The ongoing expansion of urban areas facilitated by advancements in science and technology has resulted in a considerable increase in the number of privately owned vehicles worldwi…
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…
Scene Image Representation by Foreground, Background and Hybrid Features
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1
Previous methods for representing scene images based on deep learning primarily consider either the foreground or background information as the discriminating clues for the classif…
Content and Context Features for Scene Image Representation
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang +2
Existing research in scene image classification has focused on either content features (e.g., visual information) or context features (e.g., annotations). As they capture different…
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…
Improved histogram-based anomaly detector with the extended principal component features
Sunil Aryal, Arbind Agrahari Baniya, KC Santosh
In this era of big data, databases are growing rapidly in terms of the number of records. Fast automatic detection of anomalous records in these massive databases is a challenging…
Unsupervised Deep Features for Privacy Image Classification
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1
Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful represent…
Tag-based Semantic Features for Scene Image Classification
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regar…
Indoor image representation by high-level semantic features
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang +2
Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing f…
A new simple and effective measure for bag-of-word inter-document similarity measurement
Sunil Aryal, Kai Ming Ting, Takashi Washio +1
To measure the similarity of two documents in the bag-of-words (BoW) vector representation, different term weighting schemes are used to improve the performance of cosine similarit…