All Outputs (81)

Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform (2013)
Presentation / Conference Contribution
Yang, S., Li, R., & Hillenbrand, D. (2013, August). Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform. Presented at 2013 IEEE 13th International Conference on Nanotechnology (IEEE-NANO), Beijing, China

Designing nanoplasmonic devices presents a number of unique challenges. The time domain modelling and simulation of electromagnetic (EM) wave interaction with nanoplasmonic devices, at high spatial and time resolution, requires high computational pow... Read More about Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform.

Towards reduced EEG based brain-computer interfacing for mobile robot navigation (2013)
Presentation / Conference Contribution
Mahmud, M., & Hussain, A. (2013, November). Towards reduced EEG based brain-computer interfacing for mobile robot navigation. Presented at 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Mexico City, Mexico

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.

Music genre classification: A semi-supervised approach (2013)
Presentation / Conference Contribution
Poria, S., Gelbukh, A., Hussain, A., Bandyopadhyay, S., & Howard, N. (2013, June). Music genre classification: A semi-supervised approach. Presented at MCPR 2013: 5th Mexican Conference on Pattern Recognition, Querétaro, Mexico

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.

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.

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, June). Improved efficiency of road sign detection and recognition by employing Kalman filter. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

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.

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, April). Efficient clinical decision making by learning from missing clinical data. Presented at 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Singapore, Singapore

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.

Conceptual clustering of documents for automatic ontology generation (2013)
Presentation / Conference Contribution
Krishnan, R., Hussain, A., & Sherimon, S. P. C. (2013, June). Conceptual clustering of documents for automatic ontology generation. Presented at BICS 2013: International Conference on Brain Inspired Cognitive Systems, Beijing, China

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.

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.

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 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). Generating student feedback from time-series data using Reinforcement Learning. In Proceedings of the 14th European Workshop on Natural Language Generation (115-124)

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.

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..

Incorporating emissions models within a multi-objective vehicle routing problem. (2013)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2013, July). Incorporating emissions models within a multi-objective vehicle routing problem. Presented at 15th annual conference companion on Genetic and evolutionary computation

The vehicle routing problem with time windows (VRPTW) has previously been investigated as a multi-objective problem. In this paper estimated carbon emissions is added as an objective alongside the number of vehicles required and distance travelled. W... Read More about Incorporating emissions models within a multi-objective vehicle routing problem..

A multidimensional sketching interface for corpus-based concatenative synthesis. (2013)
Presentation / Conference Contribution
Tsiros, A. (2013). A multidimensional sketching interface for corpus-based concatenative synthesis. In Proceedings of the International Conference on Auditory Display 2013

This paper presents Morpheme, a multidimensional interface that allows real-time control of concatenative synthesis through the act of sketching on a digital canvas. Morpheme extracts textural, spatial and volumetric features from a sketch developed... Read More about A multidimensional sketching interface for corpus-based concatenative synthesis..

Pianola - visualization of multivariate time-series security event data. (2013)
Presentation / Conference Contribution
Thomson, A., Graham, M., & Kennedy, J. (2013). Pianola - visualization of multivariate time-series security event data. In Proceedings of IV2013 (123-131). https://doi.org/10.1109/IV.2013.15

Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events. Informa... Read More about Pianola - visualization of multivariate time-series security event data..

Learning to solve bin packing problems with an immune inspired hyper-heuristic. (2013)
Presentation / Conference Contribution
Sim, K., Hart, E., & Paechter, B. (2013, September). Learning to solve bin packing problems with an immune inspired hyper-heuristic

Motivated by the natural immune system's ability to defend the body by generating and maintaining a repertoire of antibodies that collectively cover the potential pathogen space, we describe an artificial system that discovers and maintains a reperto... Read More about Learning to solve bin packing problems with an immune inspired hyper-heuristic..

An investigation into PL/SQL Injection. (2013)
Presentation / Conference Contribution
Paterson, R., & Leimich, P. (2013, June). An investigation into PL/SQL Injection. Presented at CyberForensics 2013: 3rd International Conference on Cybercrime, Security and Digital Forensics

SQL injection is a common attack method used to leverage infor-mation out of a database or to compromise a company’s network. This paper investigates four injection attacks that can be conducted against the PL/SQL engine of Oracle databases, comparin... Read More about An investigation into PL/SQL Injection..

Young people’s perceptions of computing careers. (2013)
Presentation / Conference Contribution
McEwan, T., & McConnell, A. (2013). Young people’s perceptions of computing careers. In Frontiers in Education Conference, 2013 IEEE (1597-1603). https://doi.org/10.1109/FIE.2013.6685108

Recruitment into computing-related undergraduate degree courses is challenging in several countries. This is despite employers reporting skills shortages, and the sector generally offering better salaries than for graduates of more popular courses. T... Read More about Young people’s perceptions of computing careers..

Commercial Competency and computing students: using the Skills Framework for the Information Age in higher education. (2013)
Presentation / Conference Contribution
McEwan, T. (2013). Commercial Competency and computing students: using the Skills Framework for the Information Age in higher education. In Frontiers in Education Conference, 2013 IEEE (286-292). https://doi.org/10.1109/FIE.2013.6684833

Commercial acumen has emerged recently as a third aspect of employability which employers expect from computing graduates, in addition to technical capability and "soft skills" (or similar terms like transferable skills). Our experience has been that... Read More about Commercial Competency and computing students: using the Skills Framework for the Information Age in higher education..