Alistair Shilton

Publications by Year

Research Areas

Neural Networks and Applications, Advanced Multi-Objective Optimization Algorithms, Gaussian Processes and Bayesian Inference, Machine Learning and Algorithms, Machine Learning and Data Classification

Most-Cited Works

• → Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View(2016)1,002 cited
• → Incremental Training of Support Vector Machines(2005)210 cited
• → Detecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines(2007)206 cited
• → High Dimensional Bayesian Optimization using Dropout(2017)102 cited
• → Bayesian Optimization for Categorical and Category-Specific Continuous Inputs(2020)43 cited
• Machine learning using support vector machines(2000)
• → A Division Algebraic Framework for Multidimensional Support Vector Regression(2009)35 cited
• → Distributed data fusion using support vector machines(2003)31 cited
• → Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks(2013)22 cited
• → Adaptive support vector machines for regression(2004)22 cited