A Review on Deep Learning Approaches to Image Classification and Object Segmentation (2019)
Journal Article
Wu, H., Liu, Q., & Liu, X. (2019). A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595

Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Present proposed artificial neural networks and optimization skills have effe... Read More about A Review on Deep Learning Approaches to Image Classification and Object Segmentation.

Machine Learning for Health and Social Care Demographics in Scotland (2019)
Presentation / Conference Contribution
Buchanan, W. J., Smales, A., Lawson, A., & Chute, C. (2019, November). Machine Learning for Health and Social Care Demographics in Scotland. Paper presented at HEALTHINFO 2019, Valencia, Spain

This paper outlines an extensive study of applying machine learning to the analysis of publicly available health and social care data within Scotland, with a focus on learning the most significant variables involved in key health care outcome factors... Read More about Machine Learning for Health and Social Care Demographics in Scotland.

The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World (2019)
Presentation / Conference Contribution
Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., Eiben, A. E., Angus, M., Veenstra, F., Li, W., Woolley, R., De Carlo, M., & Tyrrell, A. M. (2019, July). The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. Presented at Artificial Life, Newcastle, UK

The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the major challenges for such a vision is the need to construct many unique ind... Read More about The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World.

The Human Position in an Artificial World: creativity, ethics and AI in knowledge organization. ISKO UK Sixth Biennial Conference London, 15-16th July 2019 (2019)
Book
Haynes, D., & Vernau, J. (Eds.). (2019). The Human Position in an Artificial World: creativity, ethics and AI in knowledge organization. ISKO UK Sixth Biennial Conference London, 15-16th July 2019. Ergon Verlag

Haynes, David – Vernau, Judi (eds.) The Human Position in an Artificial World: Creativity, Ethics and AI in Knowledge Organization ISKO UK Sixth Biennial Conference London, 15-16th July 2019 2019. 312 p. – 155 × 225 mm. Softcover ISBN 978-3-95650-549... Read More about The Human Position in an Artificial World: creativity, ethics and AI in knowledge organization. ISKO UK Sixth Biennial Conference London, 15-16th July 2019.

An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems (2019)
Presentation / Conference Contribution
Urquhart, N., & Powers, S. T. (2019, June). An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems. Presented at PAAMS 2019: International Conference on Practical Applications of Agents and Multi-Agent Systems, Avila, Spain

We present an agent based framework for improving multi-stakeholder optimisation problems, which we define as optimisation problems where the solution is utilised by a number of stakeholders who have their own local preferences. We explore our ideas... Read More about An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems.

Athos - A Model Driven Approach to Describe and Solve Optimisation Problems (2019)
Presentation / Conference Contribution
Hoffman, B., Chalmers, K., Urquhart, N., & Guckert, M. (2019, February). Athos - A Model Driven Approach to Describe and Solve Optimisation Problems. Presented at RWDSL'19: 4th ACM International Workshop on Real World Domain Specific Languages, Washington DC

Implementing solutions for optimisation problems with general purpose high-level programming languages is a time consuming task that can only be carried out by professional software developers who typically are not domain experts. We address this pro... Read More about Athos - A Model Driven Approach to Describe and Solve Optimisation Problems.