All Outputs (158)

Reproducibility in machine Learning-Based studies: An example of text mining (2017)
Presentation / Conference Contribution
Olorisade, B. K., Brereton, P., & Andras, P. (2017, August). Reproducibility in machine Learning-Based studies: An example of text mining. Presented at ICML 2017 RML Workshop: Reproducibility in Machine Learning, Sydney, Autralia

Reproducibility is an essential requirement for computational studies including those based on machine learning techniques. However, many machine learning studies are either not reproducible or are difficult to reproduce.
In this paper, we consider... Read More about Reproducibility in machine Learning-Based studies: An example of text mining.

Inflection Generation for Spanish Verbs using Supervised Learning (2017)
Presentation / Conference Contribution
Barros, C., Gkatzia, D., & Lloret, E. (2017, September). Inflection Generation for Spanish Verbs using Supervised Learning. Presented at First Workshop on Subword and Character Level Models in NLP, Copenhagen, Denmark

We present a novel supervised approach to inflection generation for verbs in Spanish. Our system takes as input the verb’s lemma form and the desired features such as person, number, tense, and is able to predict the appropriate grammatical conjugati... Read More about Inflection Generation for Spanish Verbs using Supervised Learning.

Improving the Naturalness and Expressivity of Language Generation for Spanish (2017)
Presentation / Conference Contribution
Barros, C., Gkatzia, D., & Lloret, E. (2017, September). Improving the Naturalness and Expressivity of Language Generation for Spanish. Presented at 10th International Conference on Natural Language Generation, Santiago de Compostela, Spain

We present a flexible Natural Language Generation approach for Spanish, focused on the surface realisation stage, which integrates an inflection module in order to improve the naturalness and expressivity of the generated language. This inflection mo... Read More about Improving the Naturalness and Expressivity of Language Generation for Spanish.

Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video (2017)
Presentation / Conference Contribution
Chitalu, F. M., Koniaris, B., & Mitchell, K. (2017, December). Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video. Presented at 14th European Conference on Visual Media Production (CVMP 2017), London, United Kingdom

Lightfield video, as a high-dimensional function, is very demanding in terms of storage. As such, lightfield video data, even in a compressed form, do not typically fit in GPU or main memory unless the capture area, resolution or duration is sufficie... Read More about Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video.

Building an Adaptive E-Learning System (2017)
Presentation / Conference Contribution
Chrysoulas, C., & Fasli, M. (2017, April). Building an Adaptive E-Learning System. Presented at 9th International Conference on Computer Supported Education, Porto, Portugal

Research in adaptive learning is mainly focused on improving learners’ learning achievements based mainly on personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning... Read More about Building an Adaptive E-Learning System.

Exploring Musical Creativity through Interactive Cymatics (2017)
Presentation / Conference Contribution
McGowan, J., Leplatre, G., & McGregor, I. (2017, July). Exploring Musical Creativity through Interactive Cymatics. Presented at HCI 2017 - Digital make-believe, Sunderland, UK

What does music look like? Representation of sound has taken many forms over time, from sinusoidal wave patterns, through to random algorithm-based visualisations based on the amplitude of an audio signal. One aspect of music visualisation that has n... Read More about Exploring Musical Creativity through Interactive Cymatics.

Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data (2017)
Presentation / Conference Contribution
Abdullah, A., Hussain, A., & Khan, I. (2017, May). Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data. Presented at ICCDA '17: International Conference on Compute and Data Analysis, Lakeland, FL, USA

Globally there has been a dramatic increase in obesity. Thus understanding, predicting and managing obesity has the potential to save lives and billions. Behavioral studies suggest that binging by obese persons is prompted by inflated brain reward ce... Read More about Predicting obesity using longitudinal near infra-red spectroscopy (NIRS) data.

Applications of Evolutionary Computation (2017)
Presentation / Conference Contribution
(2017, April). Applications of Evolutionary Computation. Presented at EvoApplications: European Conference on the Applications of Evolutionary Computation, Amsterdam, The Netherlands

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated wi... Read More about Applications of Evolutionary Computation.

Applications of Evolutionary Computation (2017)
Presentation / Conference Contribution
(2017, April). Applications of Evolutionary Computation. Presented at EvoApplications: European Conference on the Applications of Evolutionary Computation, Amsterdam, The Netherlands

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated w... Read More about Applications of Evolutionary Computation.

A Cognitive-IoE Approach to Ambient-intelligent Smart Home (2017)
Presentation / Conference Contribution
Jamnal, G., & Liu, X. (2017, April). A Cognitive-IoE Approach to Ambient-intelligent Smart Home. Presented at 2nd International Conference on Internet of Things, Big Data and Security, Porto, Portugal

In today’s world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about A Cognitive-IoE Approach to Ambient-intelligent Smart Home.

Aide Memoire (2017)
Presentation / Conference Contribution
Flint, T., & Dylan, T. H. (2017, July). Aide Memoire. Presented at HCI 2017 - Digital make-believe, University of Sunderland

The Aide Memoire is a fully realised product constructed from discarded testing equipment. Born out of a series of creative sessions exploring the broad theme of interactivity the product was developed in partnership between Tom Flint and Tommy Dylan... Read More about Aide Memoire.

Eidolon360 – A VR Experience (2017)
Presentation / Conference Contribution
Hood, B., & Flint, T. (2017, July). Eidolon360 – A VR Experience. Presented at HCI 2017 - Digital make-believe, University of Sunderland

Eidolon360 is a virtual reality artwork and experience that is interacted with through VR headsets. The viewer, reclining on a bed within the exhibition space, experiences a 360 film, shot within a medical simulation centre, that mimics clinical hosp... Read More about Eidolon360 – A VR Experience.

Fast Filtering of Known PNG Files Using Early File Features (2017)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2017, May). Fast Filtering of Known PNG Files Using Early File Features. Presented at Annual Conference on Digital Forensics, Security and Law, Daytona Beach, Florida

A common task in digital forensics investigations is to identify known contraband images. This is typically achieved by calculating a cryptographic digest, using hashing algorithms such as SHA256, for each image on a given media, comparing individual... Read More about Fast Filtering of Known PNG Files Using Early File Features.

A new dynamic weight clustering algorithm for wireless sensor networks (2017)
Presentation / Conference Contribution
Essa, A., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2016, May). A new dynamic weight clustering algorithm for wireless sensor networks. Presented at 1st EAI International Conference on Smart Grid Inspired Future Technologies (SmartGift 2016)

Since sensor nodes have limited energy resources, prolonging network lifetime and improving scalability are essential elements in energy-efficient Wireless Sensor Networks (WSNs). Most existing approaches consider the residual energy of a single node... Read More about A new dynamic weight clustering algorithm for wireless sensor networks.

Sensor faults detection and classification using SVM with diverse features (2017)
Presentation / Conference Contribution
Jan, S. U., & Koo, I. S. (2017, October). Sensor faults detection and classification using SVM with diverse features. Presented at 2017 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea

Sensors in industrial systems fault frequently leading to serious consequences regarding cost and safety. The authors propose support vector machine-based classifier with diverse time- and frequency-domain feature models to detect and classify these... Read More about Sensor faults detection and classification using SVM with diverse features.

Developing entrepreneurial capabilities for the global labour market: A cross national study of IT students in the UK and Australia (2017)
Presentation / Conference Contribution
Hamilton, M., Gribble, C., & Smith, S. (2017, December). Developing entrepreneurial capabilities for the global labour market: A cross national study of IT students in the UK and Australia. Paper presented at Society for Research in Higher Education SRHE

In Australia and the UK there is growing emphasis on ‘entrepreneurship’ in response to challenging economic circumstances. The current focus on developing ‘entrepreneurial’ capabilities in graduates is largely driven by stakeholder and societal desir... Read More about Developing entrepreneurial capabilities for the global labour market: A cross national study of IT students in the UK and Australia.

Placement or practicalities? Barriers and disincentives to work experience, as reported by computing students (2017)
Presentation / Conference Contribution
Taylor-Smith, E., Smith, S., & Smith, C. (2017, December). Placement or practicalities? Barriers and disincentives to work experience, as reported by computing students. Paper presented at Society for Research Into Higher Education (SRHE) Annual Conference

Having relevant work experience, such as a placement or internship, is valued by employers in the technology sector and can improve employment outcomes for computing graduates (Shadbolt 2016). However, gaining good work experience positions is compet... Read More about Placement or practicalities? Barriers and disincentives to work experience, as reported by computing students.

Blockchain and Git repositories for sticky policies protected OOXML. (2017)
Presentation / Conference Contribution
Spyra, G., Buchanan, W. J., & Ekonomou, E. (2017, November). Blockchain and Git repositories for sticky policies protected OOXML. Presented at FTC 2017 - Future Technologies Conference 2017

The paper discuss possible cloud-based
Information Rights Management (IRM) model extension with
enhanced accountability for both a sticky policy and an attached
data. This work compliments research on secure data sharing
with Office Open XML (OOX... Read More about Blockchain and Git repositories for sticky policies protected OOXML..

Quantum Encrypted Signals on Multiuser Optical Fiber Networks: Simulation Analysis of Next Generation Services and Technologies (2017)
Presentation / Conference Contribution
Asif, R. (2017, November). Quantum Encrypted Signals on Multiuser Optical Fiber Networks: Simulation Analysis of Next Generation Services and Technologies. Presented at IEEE Network of the Future (NoF) conference, London, UK

Data encryption is gaining much attention these days from the research community and industry for transmitting secure information over access networks, i.e. 'fiber-to-the-home (FTTH)' networks and data centers. It is important that the newly designed... Read More about Quantum Encrypted Signals on Multiuser Optical Fiber Networks: Simulation Analysis of Next Generation Services and Technologies.

Reliable multipath multi-channel route migration over multi link-failure in wireless ad hoc networks (2017)
Presentation / Conference Contribution
Mirza, N. S., King, P. J. B., Romdhani, I., Abdelshafy, M. A., & Alghamdi, A. A. (2017, October). Reliable multipath multi-channel route migration over multi link-failure in wireless ad hoc networks. Presented at 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

The route recovery algorithm is a crucial part of an ad hoc routing protocol. Designing an efficient and fast route recovery mechanism scheme without incurring extra overheads or delays to repair the broken link is a desirable goal for any routing pr... Read More about Reliable multipath multi-channel route migration over multi link-failure in wireless ad hoc networks.