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Sunil Aryal, PhD, FHEA
Sunil Aryal, PhD, FHEA
在 deakin.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Levels of explainable artificial intelligence for human-aligned conversational explanations
R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz
Artificial Intelligence 299, 103525, 2021
632021
Improving iForest with Relative Mass
S Aryal, KM Ting, JR Wells, T Washio
Advances in Knowledge Discovery and Data Mining 8444, 510-521, 2014
492014
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors
KM Ting, T Washio, JR Wells, S Aryal
Machine Learning 106 (1), 55-91, 2017
382017
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures
S Aryal, KM Ting, T Washio, G Haffari
Knowledge and Information Systems 53 (2), 479–506, 2017
342017
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
C Sitaula, TB Shahi, S Aryal, F Marzbanrad
Scientific reports 11 (1), 23914, 2021
322021
Mp-dissimilarity: A data dependent dissimilarity measure
S Aryal, KM Ting, G Haffari, T Washio
Proceedings of the IEEE International Conference on Data Mining (ICDM), 707-712, 2014
322014
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis
C Sitaula, S Aryal
Health information science and systems 9 (1), 24, 2021
262021
NDVI threshold-based urban green space mapping from sentinel-2a at the Local Governmental Area (LGA) level of Victoria, Australia
J Aryal, C Sitaula, S Aryal
Land 11 (3), 351, 2022
242022
Origin of Novel Coronavirus (COVID-19): A Computational Biology Study using Artificial Intelligence
TT Nguyen, M Abdelrazek, DT Nguyen, S Aryal, DT Nguyen, A Khatami
bioRxiv, 2020
242020
Spectral–spatial anomaly detection of hyperspectral data based on improved isolation forest
X Song, S Aryal, KM Ting, Z Liu, B He
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
212021
Fusion of whole and part features for the classification of histopathological image of breast tissue
C Sitaula, S Aryal
Health Information Science and Systems 8, 1-12, 2020
212020
Revisiting attribute independence assumption in probabilistic unsupervised anomaly detection
S Aryal, KM Ting, G Haffari
Intelligence and Security Informatics: 11th Pacific Asia Workshop. PAISI …, 2016
202016
DEMass: a new density estimator for big data
KM Ting, T Washio, JR Wells, FT Liu, S Aryal
Knowledge and Information Systems 35 (3), 493-524, 2013
192013
Scene image representation by foreground, background and hybrid features
C Sitaula, Y Xiang, S Aryal, X Lu
Expert Systems with Applications 182, 115285, 2021
182021
A new simple and effective measure for bag-of-word inter-document similarity measurement
S Aryal, KM Ting, T Washio, G Haffari
arXiv preprint arXiv:1902.03402, 2019
172019
Content and context features for scene image representation
C Sitaula, S Aryal, Y Xiang, A Basnet, X Lu
Knowledge-Based Systems 232, 107470, 2021
162021
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
MA Talukder, MM Islam, MA Uddin, A Akhter, MAJ Pramanik, S Aryal, ...
Expert Systems with Applications, 120534, 2023
152023
A New Effective and Efficient Measure for Outlying Aspect Mining
D Samariya, S Aryal, KM Ting, J Ma
International Conference on Web Information Systems Engineering (WISE), 463-474, 2020
152020
HDF: Hybrid Deep Features for Scene Image Representation
C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu
International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
152020
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
KC Santosh, N Rasmussen, M Mamun, S Aryal
PeerJ Computer Science 8, e958, 2022
142022
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