Your selections:
Improving iForest with relative mass
- Aryal, Sunil, Ting, Kaiming, Wells, Jonathan, Washio, Takashi
Defying the gravity of learning curve : A characteristic of nearest neighbour anomaly detectors
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Aryal, Sunil
DEMass: a new density estimator for big data
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Liu, Fei, Aryal, Sunil
- Wells, Jonathan, Aryal, Sunil, Ting, Kai
A non-time series approach to vehicle related time series problems
- Wells, Jonathan, Ting, Kaiming, Naiwala, Chandrasiri
FaSS : Ensembles for stable learners
- Ting, Kaiming, Wells, Jonathan, Tan, Swee, Teng, Shyh, Webb, Geoffrey
Adding thermal information to multisensory input in simulated environments
- Van Doorn, George, Richardson, Barry, Symmons, Mark, Wells, Jonathan
Local models - the key to boosting stable learners successfully
- Ting, Kaiming, Zhu, Lian, Wells, Jonathan
LiNearN : A new approach to nearest neighbour density estimator
- Wells, Jonathan, Ting, Kaiming, Washio, Takashi
Feature-subspace aggregating: ensembles for stable and unstable learners
- Ting, Kaiming, Wells, Jonathan, Tan, Swee, Teng, Shyh, Webb, Geoffrey
Isolation-based anomaly detection using nearest-neighbor ensembles
- Bandaragoda, Tharindu, Ting, Kaiming, Albrecht, David, Liu, Fei, Zhu, Ye, Wells, Jonathan
A simple efficient density estimator that enables fast systematic search
- Wells, Jonathan, Ting, Kaiming
Efficient anomaly detection by isolation using Nearest Neighbour Ensemble
- Bandaragoda, Tharindu, Ting, Kaiming, Albrecht, David, Liu, Fei, Wells, Jonathan
Density estimation based on mass
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Liu, Fei
Multi-dimensional mass estimation and mass-based clustering
- Ting, Kaiming, Wells, Jonathan
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