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Sensory Alignment in Immersive Entertainment (2019)
Conference Proceeding
Marshall, J., Benford, S., Byrne, R., & Tennent, P. (2019). Sensory Alignment in Immersive Entertainment. In CHI '19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3290605.3300930

When we use digital systems to stimulate the senses, we typically stimulate only a subset of users' senses, leaving other senses stimulated by the physical world. This creates potential for misalignment between senses, where digital and physical stim... Read More

MeMa: Designing the Memory Machine (2019)
Conference Proceeding
Price, D., Jacobs, R., Darzentas, D., Perez Vallejos, E., Chadborn, N., Martindale, S., & Urquhart, L. (2019). MeMa: Designing the Memory Machine. In Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion, 271--276. doi:10.1145/3301019.3323882

The Memory Machine is an ambitious project that aims to develop a device to capture people's memories to create a blend of personal and factual data that builds identities, and contextualizes personal recollections. The Memory Machine has been guided... Read More

End-of-life vehicle management: A comprehensive review (2019)
Journal Article
Karagoz, S., Aydin, N., & Simic, V. (2019). End-of-life vehicle management: A comprehensive review. Journal of Material Cycles and Waste Management, https://doi.org/10.1007/s10163-019-00945-y

Waste management is gaining very high importance in recent years. As automotive is one of the most critical sectors worldwide, which is rapidly increasing, the management of end-of-life vehicles (ELVs) gains importance day by day. Due to legislation... Read More

RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures (2019)
Journal Article
Yasrab, R., Atkinson, J. A., Wells, D. M., French, A. P., Pridmore, T. P., & Pound, M. P. (2019). RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures. GigaScience, 8(11), https://doi.org/10.1101/709147

We present a new image analysis approach that provides fully-automatic extraction of complex root system architectures from a range of plant species in varied imaging setups. Driven by modern deep-learning approaches, RootNav 2.0 replaces previously... Read More

Dynamic Facial Models for Video-based Dimensional Affect Estimation (2019)
Conference Proceeding
Song, S., Sánchez-Lozano, E., Kumar Tellamekala, M., Shen, L., Johnston, A., & Valstar, M. (2019). Dynamic Facial Models for Video-based Dimensional Affect Estimation

Dimensional affect estimation from a face video is a challenging task, mainly due to the large number of possible facial displays made up of a set of behaviour primitives including facial muscle actions. The displays vary not only in composition but... Read More

Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease (2019)
Journal Article
Agostini, A., Yuchun, D., Li, B., Kendall, D. A., & Pardon, M. (2019). Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease. Brain, Behavior, and Immunity, https://doi.org/10.1016/j.bbi.2019.09.019

Systemic inflammation enhances the risk and progression of Alzheimer's disease (AD). Lipopolysaccharide (LPS), a potent pro-inflammatory endotoxin produced by the gut, is found in excess levels in AD where it associates with neurological hallmarks of... Read More

The Audible Artefact: Promoting Cultural Exploration and Engagement with Audio Augmented Reality (2019)
Conference Proceeding
Cliffe, L., Mansell, J., Cormac, J., Greenhalgh, C., & Hazzard, A. (2019). The Audible Artefact: Promoting Cultural Exploration and Engagement with Audio Augmented Reality. In Proceedings of AM '19, Nottingham, United Kingdom, September 18-20, 2019https://doi.org/10.1145/3356590.3356617

This paper introduces two ongoing projects where audio augmented reality is implemented as a means of engaging museum and gallery visitors with audio archive material and associated objects, artworks and artefacts. It outlines some of the issues surr... Read More

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks (2019)
Conference Proceeding
Benerradi, J., Maior, H. A., Marinescu, A., Clos, J., Wilson, M. L., Benerradi, J., …Clos, J. (in press). Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks. In Proceedings of the Halfway to the Future Symposium 2019

Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable (than e.g. EEG) for brain-based Human Computer Interaction (HCI). While some machine learning approaches have been used in prior HCI work, this paper... Read More

On the Choice of Similarity Measures for Type-2 Fuzzy Sets (2019)
Journal Article
McCulloch, J., & Wagner, C. (2020). On the Choice of Similarity Measures for Type-2 Fuzzy Sets. Information Sciences, 510, 135-154. https://doi.org/10.1016/j.ins.2019.09.027

Similarity measures are among the most common methods of comparing type-2 fuzzy sets and have been used in numerous applications. However, deciding how to measure similarity and choosing which existing measure to use can be difficult. Whilst some mea... Read More

Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints (2019)
Journal Article
Karapetyan, D., J. Parkes, A., Gutin, G., & Gagarin, A. (2019). Pattern-Based Approach to the Workflow Satisfiability Problem with User-Independent Constraints. Journal of Artificial Intelligence Research, 66, 85-122. https://doi.org/10.1613/jair.1.11339

The fixed parameter tractable (FPT) approach is a powerful tool in tackling computationally hard problems. In this paper, we link FPT results to classic artificial intelligence (AI) techniques to show how they complement each other. Specifically, we... Read More

Progressivity for voice interface design (2019)
Conference Proceeding
Fischer, J. E., Reeves, S., Porcheron, M., & Sikveland, R. O. (2019). Progressivity for voice interface design. In CUI '19: Proceedings of the 1st International Conference on Conversational User Interfaceshttps://doi.org/10.1145/3342775.3342788

Drawing from Conversation Analysis (CA), we examine how the orientation towards progressivity in talk--keeping things moving--might help us better understand and design for voice interactions. We introduce progressivity by surveying its explication i... Read More

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification (2019)
Journal Article
Wang, Y., Hu, Q., Zhu, P., Li, L., Lu, B., Garibaldi, J. M., & Li, X. (2019). Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. IEEE Transactions on Fuzzy Systems, 1-1. https://doi.org/10.1109/tfuzz.2019.2936801

Deep learning models often use a flat softmax layer to classify samples after feature extraction in visual classification tasks. However, it is hard to make a single decision of finding the true label from massive classes. In this scenario, hierarchi... Read More

Call-by-need is clairvoyant call-by-value (2019)
Journal Article
Hackett, J., & Hutton, G. (2019). Call-by-need is clairvoyant call-by-value. Proceedings of the ACM on Programming Languages, 3(ICFP), 1-21. https://doi.org/10.1145/3341718

Call-by-need evaluation, also known as lazy evaluation, provides two key benefits: compositional programming and infinite data. The standard semantics for laziness is Launchbury’s natural semantics, which uses a heap to memoise the results of delayed... Read More

Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images (2019)
Journal Article
Mu, C., Li, C., Liu, Y., Qu, R., & Jiao, L. (2019). Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. Applied Soft Computing, 84, doi:10.1016/j.asoc.2019.105727

Detecting change areas among two or more remote sensing images is a key technique in remote sensing. It usually consists of generating and analyzing a difference image thus to produce a change map. Analyzing the difference image to obtain the change... Read More

Naive Type Theory (2019)
Book Chapter
Altenkirch, T. (in press). Naive Type Theory. In S. Centrone, D. Kant, & D. Sarikaya (Eds.), Reflections on the Foundations of Mathematics: Univalent Foundations, Set Theory and General ThoughtsSpringer

We introduce Type Theory, including Homotopy Type Theory, as an alternative to set theory as a foundation of Mathematics emphasising the intuitive and naive understanding of its concepts.

Recent Advances in Selection Hyper-heuristics (2019)
Journal Article
Drake, J. H., Kheiri, A., Özcan, E., & Burke, E. K. (2019). Recent Advances in Selection Hyper-heuristics. European Journal of Operational Research, https://doi.org/10.1016/j.ejor.2019.07.073

Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for computational search problems. This is in contrast to many approaches, which represent customised methods for a single problem domain or a narrow class o... Read More

ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems (2019)
Journal Article
Pekaslan, D., Wagner, C., & Garibaldi, J. M. (2019). ADONiS - Adaptive Online Non-Singleton Fuzzy Logic Systems. IEEE Transactions on Fuzzy Systems, 1-1. https://doi.org/10.1109/tfuzz.2019.2933787

Non-Singleton Fuzzy Logic Systems (NSFLSs) have the potential to capture and handle input noise within the design of input fuzzy sets. In this paper, we propose an online learning method which utilises a sequence of observations to continuously updat... Read More

Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking (2019)
Journal Article
Gibbs, J. A., Burgess, A. J., Pound, M. P., Pridmore, T. P., & Murchie, E. H. (2019). Recovering Wind-induced Plant motion in Dense Field Environments via Deep Learning and Multiple Object Tracking. Plant Physiology, 181, 28-42. https://doi.org/10.1104/pp.19.00141

Understanding the relationships between local environmental conditions and plant structure and function is critical for both fundamental science and for improving the performance of crops in field settings. Wind-induced plant motion is important in m... Read More