Social Learning in Repeated Cooperation Games in Uncertain Environments (2018)
Journal Article
(2018). Social Learning in Repeated Cooperation Games in Uncertain Environments. Cognitive Systems Research, 24-39. https://doi.org/10.1016/j.cogsys.2018.04.013

Cooperation and social learning are fundamental mechanisms that maintain social organisation among animals and humans. Social institutions can be conceptualised abstractly as cooperation games with social learning. In some ca ses potential cooperatio... Read More about Social Learning in Repeated Cooperation Games in Uncertain Environments.

Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition (2018)
Presentation / Conference Contribution
Mandal, B., Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018, October). Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition. Presented at 2018 IEEE International Conference on Image Processing, Athens

In this work, we extract rich representations of crowd behavior from video using a fine-tuned deep convolutional neural residual network. Using spatial partitioning trees we create subclasses within the feature maps from each of the crowd behavior a... Read More about Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition.

Reproducibility of Studies on Text Mining for Citation Screening in Systematic Reviews: Evaluation and Checklist (2018)
Journal Article
(2018). Reproducibility of Studies on Text Mining for Citation Screening in Systematic Reviews: Evaluation and Checklist. Journal of Biomedical Informatics, 1-13. https://doi.org/10.1016/j.jbi.2017.07.010

CONTEXT:
Independent validation of published scientific results through study replication is a pre-condition for accepting the validity of such results. In computation research, full replication is often unrealistic for independent results validatio... Read More about Reproducibility of Studies on Text Mining for Citation Screening in Systematic Reviews: Evaluation and Checklist.

Asymptotic analysis of an anti-plane dynamic problem for a three-layered strongly inhomogeneous laminate (2018)
Journal Article
Prikazchikova, L., Ece Aydın, Y., Erbaş, B., & Kaplunov, J. (2018). Asymptotic analysis of an anti-plane dynamic problem for a three-layered strongly inhomogeneous laminate. Mathematics and Mechanics of Solids, 25(1), 3-16. https://doi.org/10.1177/1081286518790804

Anti-plane dynamic shear of a strongly inhomogeneous dynamic laminate with traction-free faces is
analysed. Two types of contrast are considered, including those for composite structures with stiff thick or thin outer layers. In both cases, the valu... Read More about Asymptotic analysis of an anti-plane dynamic problem for a three-layered strongly inhomogeneous laminate.

The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images (2018)
Presentation / Conference Contribution
Jarvis, D., & Kyriacou, T. (2018, July). The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images. Presented at 19th Annual Conference, TAROS 2018, Bristol, UK

Images from omnidirectional cameras are used frequently in applications involving artificial intelligence and robotics as a source of rich information about the surroundings. A useful feature that can be extracted from these images is the distributio... Read More about The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images.

Stochastic Ontogenesis in Evolutionary Robotics (2018)
Journal Article
(2018). Stochastic Ontogenesis in Evolutionary Robotics. https://doi.org/10.1162/isal_a_00045

This paper investigates the hypothesis that noise in the genotype–phenotype mapping, here called stochastic ontogenesis (SO), is an important consideration in Evolutionary Robotics. This is examined in two ways: first, in the context of seeking to ge... Read More about Stochastic Ontogenesis in Evolutionary Robotics.

Tiebreaks and Diversity: Isolating Effects in Lexicase Selection (2018)
Journal Article
(2018). Tiebreaks and Diversity: Isolating Effects in Lexicase Selection. https://doi.org/10.1162/isal_a_00109

A primary goal of evolutionary robotics (ER) is generalized control. That is, a robot controller should be capable of solving a variety of tasks in a domain, rather than only addressing specific instances of a task. Prior work has shown that Lexicase... Read More about Tiebreaks and Diversity: Isolating Effects in Lexicase Selection.

Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network (2018)
Journal Article
Channon. (2018). Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network. https://doi.org/10.1162/isal_a_00099

Deep Convolutional Neural Networks (ConvNets) have seen great success on machine learning tasks in recent years but have shown difficulty with tasks that require long-term deliberative planning. Whereas, purpose-built hybrid network architectures hav... Read More about Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network.

Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments (2018)
Journal Article
(2018). Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments. Artificial Life, 404-411. https://doi.org/10.1162/isal_a_00078

Cooperation among selfish individuals provides the fundamentals for social organization among animals and humans. Cooperation games capture this behavior at an abstract level and provide the tools for the analysis of the evolution of cooperation. Her... Read More about Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments.

Measuring the Scalability of Cloud-based Software Services (2018)
Presentation / Conference Contribution
Al-Said Ahmad, A., & Andras, P. (2018, July). Measuring the Scalability of Cloud-based Software Services. Presented at 2018 IEEE World Congress on Services, San Francisco

Measuring and testing the performance of cloud-based software services is critically important in the context of rapid growth of cloud computing. Scalability, elasticity and efficiency are interrelated aspects of performance of cloud-based software s... Read More about Measuring the Scalability of Cloud-based Software Services.

Quantifying textual similarities across scientific researchcommunities (2018)
Thesis
Duffee, B. Quantifying textual similarities across scientific researchcommunities. (Thesis). Keele University. https://keele-repository.worktribe.com/output/411459

There are well-established approaches of text mining collections of documents and for understanding the network of citations between academic papers. Few studies have examined the textual content of the papers that constitute a citation network. A do... Read More about Quantifying textual similarities across scientific researchcommunities.

A computational workflow for the automated generation of models of genetic designs (2018)
Journal Article
Misirli. (2018). A computational workflow for the automated generation of models of genetic designs. ACS synthetic biology, 1548-1559. https://doi.org/10.1021/acssynbio.7b00459

Computational models are essential to engineer predictable biological systems and to scale up this process for complex systems. Computational modelling often requires expert knowledge and data to build models. Clearly, manual creation of models is no... Read More about A computational workflow for the automated generation of models of genetic designs.

A Network Tomography Approach for Traffic Monitoring in Smart Cities (2018)
Journal Article
Ortolani, Zhang, R., Newman, S., Ortolani, M., & Silvestri, S. (2018). A Network Tomography Approach for Traffic Monitoring in Smart Cities. IEEE Transactions on Intelligent Transportation Systems, 19(7), 2268 - 2278. https://doi.org/10.1109/TITS.2018.2829086

Traffic monitoring is a key enabler for several planning and management activities of a Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable. This paper proposes an approach to traffic monitoring that does... Read More about A Network Tomography Approach for Traffic Monitoring in Smart Cities.

Wearable Patient and Health Worker Monitoring: Opportunities for Improved Outcomes and Open Source Sensing (2018)
Presentation / Conference Contribution
COLLINS, T., WOOLLEY, S., INFANTE SANCHEZ, D., PEMBERTON, P., VEENITH, T., HUME, D., LAVER, K., SMALL, C., & LAPÃO, L. (2018, April). Wearable Patient and Health Worker Monitoring: Opportunities for Improved Outcomes and Open Source Sensing. Paper presented at Medical Informatics Europe 2018, Svenska Mässan, Gothenburg, Sweden

Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis (2018)
Journal Article
Al-Bander, B., Williams, B. M., Al-Nuaimy, W., Al-Taee, M. A., Pratt, H., & Zheng, Y. (2018). Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10(4), 87 - 87. https://doi.org/10.3390/sym10040087

Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT (2018)
Book Chapter
Channon, A., & Jolley, B. (2018). Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT. In Proceedings of the IEEE Symposium Series on Computational Intelligence 2017 (3488 -3495)

Previous works have used a novel hybrid network architecture to create deliberative behaviours to solve increasingly challenging tasks in two-dimensional and threedimensional artificial worlds. At the foundation of each is a static hand-designed neur... Read More about Toward Evolving Robust, Deliberate Motion Planning With HyperNEAT.

Social Learning and Cultural Evolution in Artificial Life (2018)
Journal Article
(2018). Social Learning and Cultural Evolution in Artificial Life. Artificial Life, https://doi.org/10.1162/ARTL_a_00250

We describe the questions and discussions raised at the First Workshop on Social Learning and Cultural Evolution held at the Artificial Life Conference 2016 in Cancun, Mexico in July 2016. The purpose of the workshop was to assemble artificial life r... Read More about Social Learning and Cultural Evolution in Artificial Life.

SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology. (2018)
Journal Article
McLaughlin, J., Ofiteru, I., Goñi Moreno, A., Zundel, Z., Misirli, G., Zhang, M., Wipat, A., & Myers, C. (2018). SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology. ACS synthetic biology, 682-688. https://doi.org/10.1021/acssynbio.7b00403

The SynBioHub repository (synbiohub.org) is an open-source software project which facilitates the sharing of information about engineered biological systems. SynBioHub provides computational access for software and data integration, and a graphical u... Read More about SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology..

High-Dimensional Function Approximation with Neural Networks for Large Volumes of Data (2018)
Journal Article
(2018). High-Dimensional Function Approximation with Neural Networks for Large Volumes of Data. IEEE transactions on neural networks and learning systems, 500-508. https://doi.org/10.1109/TNNLS.2017.2651985

Approximation of high-dimensional functions is a challenge for neural networks due to the curse of dimensionality. Often the data for which the approximated function is defined resides on a low-dimensional manifold and in principle the approximation... Read More about High-Dimensional Function Approximation with Neural Networks for Large Volumes of Data.

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (2018)
Journal Article
Pratt, H., Williams, B. M., Ku, J. Y., Vas, C., McCann, E., Al-Bander, B., Zhao, Y., Coenen, F., & Zheng, Y. (2018). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. Journal of Imaging, 4(1), 4 - 4. https://doi.org/10.3390/jimaging4010004

The analysis of retinal blood vessels present in fundus images, and the addressing of problems such as blood clot location, is important to undertake accurate and appropriate treatment of the vessels. Such tasks are hampered by the challenge of accur... Read More about Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography.