Ye Zhu (祝烨)
Ye Zhu (祝烨)
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Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
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
Isolation‐based anomaly detection using nearest‐neighbor ensembles
TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells
Computational Intelligence, 2018
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
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
Grouping Points by Shared Subspaces for Effective Subspace Clustering
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 83, 230-244, 2018
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
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
A technical survey on statistical modelling and design methods for crowdsourcing quality control
Y Jin, M Carman, Y Zhu, Y Xiang
Artificial Intelligence, 103351, 2020
Local contrast as an effective means to robust clustering against varying densities
B Chen, KM Ting, T Washio, Y Zhu
Machine Learning 107 (8), 1621-1645, 2018
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
Cloud-assisted privacy-conscious large-scale Markowitz portfolio
Y Zhang, J Jiang, Y Xiang, Y Zhu, L Wan, X Xie
Information Sciences 527, 548-559, 2020
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 (16), 22727-22742, 2019
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing
Y Jin, M Carman, Y Zhu, W Buntine
10th Asian Conference on Machine Learning (ACML 2018), 2018
Leveraging Label Category Relationships in Multi-class Crowdsourcing
Y Jin, L Du, Y Zhu, M Carman
Advances in Knowledge Discovery and Data Mining (PAKDD 2018), 2018
Density estimates on the unit simplex and calculation of the mode of a sample
M Angelova, G Beliakov, S Shelyag, Y Zhu
International Journal of Intelligent Systems, 2020
Density-based clustering using approximate natural neighbours
M Angelova, G Beliakov, Y Zhu
Applied Soft Computing 85, 105867, 2019
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Y Zhu, KM Ting, Y Jin, M Angelova
Information Systems, 2021
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
Y Zhu, KM Ting
Journal of Artificial Intelligence Research 71, 667-695, 2021
Adversarial decision strategies in multiple network phased oscillators: the Blue-Green-Red Kuramoto-Sakaguchi model
M Zuparic, M Angelova, Y Zhu, A Kalloniatis
Communications in Nonlinear Science and Numerical Simulation 95, 105642, 2021
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