Stuart Jamieson

According to our database1, Stuart Jamieson authored at least 15 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Dynamic scaling of distributed data-flows under uncertainty.
Proceedings of the DEBS '20: The 14th ACM International Conference on Distributed and Event-based Systems, 2020

Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Objective Evaluation of Bradykinesia in Parkinson's Disease using Evolutionary Algorithms.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia.
J. Medical Syst., 2017

Going through directional changes: evolving human movement classifiers using an event based encoding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Objective Assessment of Cognitive Impairment in Parkinson's Disease Using Evolutionary Algorithm.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease.
Biosyst., 2016

Exploring diagnostic models of Parkinson's disease with multi-objective regression.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients.
IEEE Trans. Evol. Comput., 2014

Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Characterising neurological time series data using biologically motivated networks of coupled discrete maps.
Biosyst., 2013

Characterisation of movement disorder in parkinson's disease using evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving classifiers to inform clinical assessment of Parkinson's disease.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013

Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function.
Proceedings of the Information Processign in Cells and Tissues, 2012