BCS SGAI
The Specialist Group on Artificial Intelligence
AI-2019: The Thirty-ninth SGAI International Conference
Cambridge, UK, 17th-19th December 2019

Best papers in each stream

Technical stream

CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification
A. Pakrashi and B. Mac Namee (University College Dublin, Ireland)

Purity Filtering: An Instance Selection Method for Support Vector Machines
D. Morán-Pomés and Ll.A. Belanche-Muñoz, (Technical University of Catalonia, Spain)

Stepwise Evolutionary Learning using Deep Learned Guidance Functions
Colin G. Johnson (University of Kent and University of Edinburgh, UK)

Application stream

Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station
Himadri Sikhar Khargharia and Siddhartha Shakya (EBTIC, Khalifa University, UAE), Russell Ainslie and Gilbert Owusu (British Telecom, UK)

Developing a Catalogue of Explainability Methods to Support Expert and Non-Expert Users
Kyle Martin (Robert Gordon University, UK), Anne Liret (BT France), Nirmalie Wiratunga (Robert Gordon University, UK), Gilbert Owusu and Mathias Kern (British Telecom, UK)

Exploring the Automatisation of Animal Health Surveillance through Natural Language Processing
M. Arguello-Casteleiro (University of Manchester, UK), P.H. Jones, S. Robertson, R.M. Irvine, F. Twomey (Animal and Plant Health Agency, UK) and G. Nenadic (University of Manchester, UK)


BCS SGAI
The Specialist Group on Artificial Intelligence
AI-2019: The Thirty-ninth SGAI International Conference
Cambridge, UK, 17th-19th December 2019