Density-ratio based clustering for discovering clusters with varying densities Y Zhu, KM Ting, MJ Carman Pattern Recognition 60, 983-997, 2016 | 139 | 2016 |
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 | 126 | 2018 |
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 | 72 | 2016 |
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 | 57 | 2019 |
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 | 53 | 2019 |
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 | 45 | 2019 |
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 | 36 | 2020 |
Clustering-enhanced stock price prediction using deep learning M Li, Y Zhu, Y Shen, M Angelova World wide web 26 (1), 207-232, 2023 | 25 | 2023 |
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 | 23 | 2022 |
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 | 23 | 2020 |
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 | 22 | 2018 |
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 | 20 | 2019 |
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 | 20 | 2018 |
Grouping Points by Shared Subspaces for Effective Subspace Clustering Y Zhu, KM Ting, MJ Carman Pattern Recognition 83, 230-244, 2018 | 20 | 2018 |
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 | 18 | 2020 |
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 | 16 | 2018 |
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 | 15 | 2021 |
An overview of clustering methods with guidelines for application in mental health research CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, J Bayer, JM Menssink, ... Psychiatry Research, 115265, 2023 | 13 | 2023 |
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 | 13 | 2022 |
Hierarchical clustering that takes advantage of both density-peak and density-connectivity Y Zhu, KM Ting, Y Jin, M Angelova Information Systems, 2021 | 12 | 2021 |