Publications

Comparison of new computational methods for spatial modelling of malaria

Malaria Journal, 2023.
PDF

Comparison of tiling artifact removal methods in secondary ion mass spectrometry images

Analytical Chemistry, 2023.
PDF

The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft

International Journal of Impact Engineering, 2023.
PDF

Singularities of axially symmetric volume preserving mean curvature flow

Communications in Analysis and Geometry, 2023.
PDF

Comprehensive algorithm portfolio evaluation using Item Response Theory

Journal of Machine Learning Research, 2023.
PDF

Short-term prediction of stream turbidity using surrogate data and a meta-model approach

Hydrological Processes, 2023.
PDF

DEFT: A new distance-based feature set for keystroke dynamics

BIOSIG, 2023.
PDF

Honeyboost: Boosting honeypot performance with data fusion and anomaly detection

Expert Systems with Applications, 2022.
PDF

Unsupervised anomaly detection ensembles using Item Response Theory

Information Sciences, 2022.
PDF

Benchmarking Algorithm Portfolio Construction Methods

GECCO, 2022.
PDF

Leave-one-out kernel density estimates for outlier detection

Journal of Computational and Graphical Statistics, 2021.
PDF

Early detection of vegetation ignition due to powerline faults

IEEE Transactions on Power Delivery, 2021.
PDF

Dimension reduction for outlier detection using DOBIN

Journal of Computational and Graphical Statistics, 2021.
PDF

Early classification of spatio-temporal events using partial information

PLoS ONE, 2020.
PDF

On normalization and algorithm selection for unsupervised outlier detection

Data Mining and Knowledge Discovery, 2020.
PDF

Predicting sediment and nutrient concentrations from high-frequency water-quality data

PLOS ONE, 2019.
PDF

Instance Space Analysis for Unsupervised Outlier Detection

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, 2019.
PDF

Anomaly detection in streaming nonstationary temporal data

Journal of Computational and Graphical Statistics, 2019.
PDF

A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

Science of The Total Environment, 2019.
PDF

Machine learning methods for predicting the outcome of hypervelocity impact events

Expert Systems with Applications, 2016.
PDF

Support vector machines for characterizing Whipple shield performance

Proceedings of the 2015 hypervelocity impact symposium, 2015.
PDF

On the convergence of axially symmetric volume preserving mean curvature flow

Pac. J. Math., 2012.
PDF