57 citations · 75 across the 5 of their papers we have counts for
7 papers
Teaching Key Machine Learning Principles Using Anti-learning Datasets
Chris Roadknight, Prapa Rattadilok, Uwe Aickelin
Much of the teaching of machine learning focuses on iterative hill-climbing approaches and the use of local knowledge to gain information leading to local or global maxima. In this…
Ensemble Learning of Colorectal Cancer Survival Rates
Chris Roadknight, Uwe Aickelin, John Scholefield +1
In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insigh…
Data classification using the Dempster-Shafer method
Qi Chen, Amanda Whitbrook, Uwe Aickelin +1
In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems. Testing is carried out using three popular (multiple attrib…
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification
Chris Roadknight, Uwe Aickelin, Alex Ladas +3
In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insigh…
Supervised Learning and Anti-learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology Parameters
Chris Roadknight, Uwe Aickelin, Guoping Qiu +2
In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insigh…
Extending a Microsimulation of the Port of Dover
Christopher M. Roadknight, Uwe Aickelin
Modelling and simulating the traffic of heavily used but secure environments such as seaports and airports is of increasing importance. This paper discusses issues and problems tha…