Outputs (12)

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). A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle. In Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, 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.

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). A novel clinical expert system for chest pain risk assessment. In Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, C

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 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). A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure. In Advances in Brain Inspired Cognitive Systems: 6th I

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.

Cognitive computation: A case study in cognitive control of autonomous systems and some future directions (2013)
Presentation / Conference Contribution
Hussain, A. (2013). Cognitive computation: A case study in cognitive control of autonomous systems and some future directions. In The 2013 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2013.6706716

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.

Conceptual clustering of documents for automatic ontology generation (2013)
Presentation / Conference Contribution
Krishnan, R., Hussain, A., & Sherimon, S. P. C. (2013). Conceptual clustering of documents for automatic ontology generation. In Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proce

In Information retrieval, Keyword based retrieval is unsatisfactory for user needs since it can’t always retrieve relevant words according to the concept. Since different words can represent the same concept (polysemy) and one word can represent diff... Read More about Conceptual clustering of documents for automatic ontology generation.

Efficient clinical decision making by learning from missing clinical data (2013)
Presentation / Conference Contribution
Farooq, K., Yang, P., Hussain, A., Huang, K., MacRae, C., Eckl, C., & Slack, W. (2013). Efficient clinical decision making by learning from missing clinical data. In 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE) (2

Clinical decision making frequently involves making decisions under uncertainty because of missing key patient data (e.g, demographics, episodic and clinical diagnosis details) - this information is essential for modern clinical decision support syst... Read More about Efficient clinical decision making by learning from missing clinical data.

Improved efficiency of road sign detection and recognition by employing Kalman filter (2013)
Presentation / Conference Contribution
Zakir, U., Hussain, A., Ali, L., & Luo, B. (2013). Improved efficiency of road sign detection and recognition by employing Kalman filter. In Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11,

This paper describes an efficient approach towards road sign detection, and recognition. The proposed system is divided into three sections namely: Road Sign Detection where Colour Segmentation of the road traffic signs is carried out using HSV colou... Read More about Improved efficiency of road sign detection and recognition by employing Kalman filter.

Advances in Brain Inspired Cognitive Systems: Preface (2013)
Presentation / Conference Contribution
Liu, D., Alippi, C., Zhao, D., & Hussain, A. (2013). Advances in Brain Inspired Cognitive Systems: Preface. . https://doi.org/10.1007/978-3-642-38786-9

This book constitutes the refereed proceedings of the 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, held in Beijing, China in June 2013. The 45 high-quality papers presented were carefully reviewed and selected from 68... Read More about Advances in Brain Inspired Cognitive Systems: Preface.

Music genre classification: A semi-supervised approach (2013)
Presentation / Conference Contribution
Poria, S., Gelbukh, A., Hussain, A., Bandyopadhyay, S., & Howard, N. (2013). Music genre classification: A semi-supervised approach. In Pattern Recognition: 5th Mexican Conference, MCPR 2013, Querétaro, Mexico, June 26-29, 2013. Proceedings (254-263). h

Music genres can be seen as categorical descriptions used to classify music basing on various characteristics such as instrumentation, pitch, rhythmic structure, and harmonic contents. Automatic music genre classification is important for music retri... Read More about Music genre classification: A semi-supervised approach.

Towards reduced EEG based brain-computer interfacing for mobile robot navigation (2013)
Presentation / Conference Contribution
Mahmud, M., & Hussain, A. (2013). Towards reduced EEG based brain-computer interfacing for mobile robot navigation. In Advances in Soft Computing and Its Applications: 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Mexico C

Rapid development in highly parallel neurophysiological recording techniques along with sophisticated signal processing tools allow direct communication with neuronal processes at different levels. One important level from the point of view of Rehabi... Read More about Towards reduced EEG based brain-computer interfacing for mobile robot navigation.

Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics (2013)
Presentation / Conference Contribution
Cambria, E., Howard, N., Hsu, J., & Hussain, A. (2013). Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics. In 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) (108-

The capability of interpreting the conceptual and affective information associated with natural language through different modalities is a key issue for the enhancement of human-agent interaction. The proposed methodology, termed sentic blending, ena... Read More about Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics.

A brain-computer interface test-bench based on EEG signals for research and student training (2013)
Presentation / Conference Contribution
Raif, P., Mahmud, M., Hussain, A., Klos-Witkowska, A., & Suchanek, R. (2013). A brain-computer interface test-bench based on EEG signals for research and student training. In 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (C

The paper describes a test-bench model for braincomputer interface research based on EEG signals. The test-bench is going to be used for students training and education. The goal is to prepare modern Brain-Computer Interface development environment i... Read More about A brain-computer interface test-bench based on EEG signals for research and student training.