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Ye Zhu, PhD, SMIEEE
Ye Zhu, PhD, SMIEEE
Senior Lecturer of Computer Science, Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
1392016
Isolation‐based anomaly detection using nearest‐neighbor ensembles
TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells
Computational Intelligence 34 (4), 968-998, 2018
1252018
Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure
KM Ting, Y Zhu, M Carman, Y Zhu, ZH Zhou
KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016
712016
Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm
M Su, Z Zhang, Y Zhu, D Zha
Energies 12 (6), 1094, 2019
552019
Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods
M Su, Z Zhang, Y Zhu, D Zha, W Wen
Energies 12 (9), 1680, 2019
532019
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering
X Qin, KM Ting, Y Zhu, V Lee
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
442019
A technical survey on statistical modelling and design methods for crowdsourcing quality control
Y Jin, M Carman, Y Zhu, Y Xiang
Artificial Intelligence 287, 103351, 2020
362020
Automated method for detecting acute insomnia using multi-night actigraphy data
M Angelova, C Karmakar, Y Zhu, SPA Drummond, J Ellis
IEEE Access 8, 74413-74422, 2020
232020
Clustering-enhanced stock price prediction using deep learning
M Li, Y Zhu, Y Shen, M Angelova
World wide web 26 (1), 207-232, 2023
222023
A Distance Scaling Method to Improve Density-based Clustering
Y Zhu, KM Ting, M Angelova
Advances in Knowledge Discovery and Data Mining (PAKDD 2018), 2018
222018
A feature selection-based method for DDoS attack flow classification
L Zhou, Y Zhu, T Zong, Y Xiang
Future Generation Computer Systems 132, 67-79, 2022
212022
Commutative fragile zero-watermarking and encryption for image integrity protection
M Li, D Xiao, Y Zhu, Y Zhang, L Sun
Multimedia Tools and Applications 78, 22727-22742, 2019
202019
Local contrast as an effective means to robust clustering against varying densities
B Chen, KM Ting, T Washio, Y Zhu
Machine Learning 107, 1621-1645, 2018
202018
Grouping Points by Shared Subspaces for Effective Subspace Clustering
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 83, 230-244, 2018
202018
Machine learning enabled team performance analysis in the dynamical environment of soccer
S Kusmakar, S Shelyag, Y Zhu, D Dwyer, P Gastin, M Angelova
IEEE access 8, 90266-90279, 2020
182020
Lowest Probability Mass Neighbour Algorithms: Relaxing the metric constraint in distance-based neighbourhood algorithms
KM Ting, Y Zhu, M Carman, Y Zhu, T Washio, ZH Zhou
Machine Learning, 2018
162018
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Y Zhu, KM Ting, MJ Carman, M Angelova
Pattern Recognition 117, 107977, 2021
152021
A New Distributional Treatment for Time Series and An Anomaly Detection Investigation
KM Ting, Z Liu, H Zhang, Y Zhu
Proceedings of the VLDB Endowment 15, 2022
122022
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Y Zhu, KM Ting, Y Jin, M Angelova
Information Systems, 2021
122021
A novel feature-based framework enabling multi-type DDoS attacks detection
L Zhou, Y Zhu, Y Xiang, T Zong
World Wide Web 26 (1), 163-185, 2023
112023
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Articles 1–20