Sevvandi Kandanaarachchi

Latest

• Forecasting the structure of dynamic graphs
• Comparison of new computational methods for spatial modelling of malaria
• Comparison of tiling artifact removal methods in secondary ion mass spectrometry images
• The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft
• Singularities of axially symmetric volume preserving mean curvature flow
• Comprehensive algorithm portfolio evaluation using Item Response Theory
• Detecting inner-LAN anomalies using hierarchical forecasting
• Short-term prediction of stream turbidity using surrogate data and a meta-model approach
• DEFT: A new distance-based feature set for keystroke dynamics
• Anomaly detection in dynamic networks
• Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
• Unsupervised anomaly detection ensembles using Item Response Theory
• Leave-one-out kernel density estimates for outlier detection
• Early detection of vegetation ignition due to powerline faults
• Dimension reduction for outlier detection using DOBIN
• Outliers in Compositional Time Series Data
• Early classification of spatio-temporal events using partial information
• On normalization and algorithm selection for unsupervised outlier detection
• A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
• Anomaly detection in streaming nonstationary temporal data
• Event detection in spatio-temporal data using a Bayesian segmented ARMA change-point model
• Instance Space Analysis for Unsupervised Outlier Detection
• Predicting sediment and nutrient concentrations from high-frequency water-quality data
• Singularity formation in axially symmetric mean curvature flow with Neumann boundary
• On the extension of axially symmetric volume preserving mean curvature flow
• Machine learning methods for predicting the outcome of hypervelocity impact events
• Support vector machines for characterizing Whipple shield performance
• On the convergence of axially symmetric volume preserving mean curvature flow