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Outputs (151)

Cognitive computation: A case study in cognitive control of autonomous systems and some future directions (2013)
Presentation / Conference Contribution
Hussain, A. (2013, August). Cognitive computation: A case study in cognitive control of autonomous systems and some future directions. Presented at The 2013 International Joint Conference on Neural Networks (IJCNN), Dallas, TX, USA

Cognitive computation is an emerging discipline linking together neurobiology, cognitive psychology and artificial intelligence. Springer Neuroscience has launched a journal in this exciting multidisciplinary topic, which seeks to publish biologicall... Read More about Cognitive computation: A case study in cognitive control of autonomous systems and some future directions.

A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure (2013)
Presentation / Conference Contribution
Minhas, S., Poria, S., Hussain, A., & Hussainey, K. (2013, June). A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

Indisputably, financial reporting has a key role to play in the efficient workings of capitalist economies. Problems related to agency and asymmetric information (Jensen and Meckling, 1976) would abound and cripple financial markets, as it has done w... Read More about A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure.

A novel clinical expert system for chest pain risk assessment (2013)
Presentation / Conference Contribution
Farooq, K., Hussain, A., Atassi, H., Leslie, S., Eckl, C., MacRae, C., & Slack, W. (2013, June). A novel clinical expert system for chest pain risk assessment. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

Rapid access chest pain clinics (RACPC) enable clinical risk assessment, investigation and arrangement of a treatment plan for chest pain patients without a long waiting list. RACPC Clinicians often experience difficulties in the diagnosis of chest p... Read More about A novel clinical expert system for chest pain risk assessment.

A novel SAR target detection algorithm based on contextual knowledge (2013)
Journal Article
Gao, F., Ru, A., Sun, J., & Hussain, A. (2013). A novel SAR target detection algorithm based on contextual knowledge. Progress In Electromagnetics Research, 142, 123-140. https://doi.org/10.2528/PIER13062403

This paper proposes a Synthetic Aperture Radar (SAR) vehicle target detection algorithm based on contextual knowledge. The proposed algorithm firstly obtains the general classification of SAR image with a Markov Random Field (MRF)-based segmentation... Read More about A novel SAR target detection algorithm based on contextual knowledge.

A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle (2013)
Presentation / Conference Contribution
Yang, E., Hussain, A., & Gurney, K. (2013, June). A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

This paper presents a new brain-inspired, switching control approach for a car-like autonomous vehicle using a basal ganglia (BG) model as an action selection mechanism. The problem domain has challenging nonholonomic and state constraints which impl... Read More about A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle.

Generating student feedback from time-series data using Reinforcement Learning (2013)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., Janarthanam, S., & Lemon, O. (2013, August). Generating student feedback from time-series data using Reinforcement Learning. Presented at 14th European Workshop On Natural Language Generation, Sofia, Bulgaria

We describe a statistical Natural LanguageGeneration (NLG) method for summarisa-tion of time-series data in the context offeedback generation for students. In thispaper, we initially present a method forcollecting time-series data f... Read More about Generating student feedback from time-series data using Reinforcement Learning.

‘Discuss, Analyse, Define …’ Non-traditional Students Come to Terms with Cultures of Learning in the UK (2013)
Book Chapter
Pilcher, N., & Richards, K. (2013). ‘Discuss, Analyse, Define …’ Non-traditional Students Come to Terms with Cultures of Learning in the UK. In M. Cortazzi, & L. Jin (Eds.), Researching Intercultural Learning (135-151). Palgrave Macmillan. https://doi.org/10.1057/9781137291646_8

In contrast to students in many countries, British university students are often older than the common 18–22 age range; some are ‘non-traditional’ students who may have had experience of work in industrial or professional contexts before they study.... Read More about ‘Discuss, Analyse, Define …’ Non-traditional Students Come to Terms with Cultures of Learning in the UK.

Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal. (2013)
Presentation / Conference Contribution
Wang, Z., Chalmers, K., & Liu, X. (2013, June). Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal. Presented at International Conference on Information Society (i-Society 2013). University of Toronto, Canada

Model Driven based approach for Service Evolution in Clouds will mainly focus on the reusable evolution patterns' advantage to solve evolution problems. During the process, evolution pattern will be driven by MDA models to pattern aspects. Weaving th... Read More about Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal..