Jonathan R. Wells

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Nearest Neighbour

Top Venues

Knowl. Inf. Syst.

Pattern Recognit.

Publications

Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya, KC Santosh
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing. CoRR (2024)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang, Ye Zhu
Isolation Kernel Estimators. Knowl. Inf. Syst. 65 (2) (2023)
Kai Ming Ting, Jonathan R. Wells, Ye Zhu
Point-Set Kernel Clustering. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Sunil Aryal, Jonathan R. Wells
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data. ECML/PKDD (1) (2021)
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Isolation kernel: the X factor in efficient and effective large scale online kernel learning. Data Min. Knowl. Discov. 35 (6) (2021)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang
Isolation Kernel Density Estimation. ICDM (2021)
Jonathan R. Wells, Sunil Aryal, Kai Ming Ting
Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning. Knowl. Inf. Syst. 62 (8) (2020)
Kai Ming Ting, Jonathan R. Wells, Ye Zhu
Clustering based on Point-Set Kernel. CoRR (2020)
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning. CoRR (2019)
Jonathan R. Wells, Kai Ming Ting
A new simple and efficient density estimator that enables fast systematic search. Pattern Recognit. Lett. 122 (2019)
Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Ye Zhu, Jonathan R. Wells
Isolation-based anomaly detection using nearest-neighbor ensembles. Comput. Intell. 34 (4) (2018)
Jonathan R. Wells, Kai Ming Ting
A simple efficient density estimator that enables fast systematic search. CoRR (2017)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors. Mach. Learn. 106 (1) (2017)
Sunil Aryal, Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Improving iForest with Relative Mass. PAKDD (2) (2014)
Tharindu R. Bandaragoda, Kai Ming Ting, David W. Albrecht, Fei Tony Liu, Jonathan R. Wells
Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble. ICDM Workshops (2014)
Jonathan R. Wells, Kai Ming Ting, Takashi Washio
LiNearN: A new approach to nearest neighbour density estimator. Pattern Recognit. 47 (8) (2014)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu, Sunil Aryal
DEMass: a new density estimator for big data. Knowl. Inf. Syst. 35 (3) (2013)
Kai Ming Ting, Lian Zhu, Jonathan R. Wells
Local Models - the Key to Boosting Stable Learners Successfully. Comput. Intell. 29 (2) (2013)
Jonathan R. Wells, Kai Ming Ting, Naiwala P. Chandrasiri
A non-time series approach to vehicle related time series problems. AusDM (2012)
Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb
Feature-subspace aggregating: ensembles for stable and unstable learners. Mach. Learn. 82 (3) (2011)
Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu
Density Estimation Based on Mass. ICDM (2011)
Kai Ming Ting, Jonathan R. Wells
Multi-dimensional Mass Estimation and Mass-based Clustering. ICDM (2010)
Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb
FaSS: Ensembles for Stable Learners. MCS (2009)