Outlier detection using an ensemble of clustering algorithms

A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing

(2021) Ahmad Ali et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods

(2020) Muhammad Fazal Ijaz et al.   SENSORS

Feature Selection for Facial Emotion Recognition Using Cosine Similarity-Based Harmony Search Algorithm

(2020) Soumyajit Saha et al.   Applied Sciences-Basel

Outlier Detection

(2020) Azzedine Boukerche et al.   ACM COMPUTING SURVEYS

ODRA: an outlier detection algorithm based on relevant attribute analysis method

(2020) Abdul Wahid et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Language-invariant novel feature descriptors for handwritten numeral recognition

(2020) Soulib Ghosh et al.   VISUAL COMPUTER

Optimal subset selection for causal inference using machine learning ensembles and particle swarm optimization

(2020) Dhruv Sharma et al.   Complex & Intelligent Systems

Integration of deep feature extraction and ensemble learning for outlier detection

(2019) Debasrita Chakraborty et al.   PATTERN RECOGNITION

Binary Grey Wolf Optimizer for large scale unit commitment problem

(2018) Lokesh Kumar Panwar et al.   Swarm and Evolutionary Computation

A new outlier detection method based on OPTICS

(2018) Yue Fei Wang et al.   Sustainable Cities and Society

Identifying cluster centroids from decision graph automatically using a statistical outlier detection method

(2018) Huanqian Yan et al.   NEUROCOMPUTING

Outlier-eliminated k-means clustering algorithm based on differential privacy preservation

(2016) Qingying Yu et al.   APPLIED INTELLIGENCE

Entropy-based outlier detection using semi-supervised approach with few positive examples

(2014) Armin Daneshpazhouh et al.   PATTERN RECOGNITION LETTERS

Outlier Detection Techniques for Wireless Sensor Networks: A Survey

(2010) Yang Zhang et al.   IEEE Communications Surveys and Tutorials