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All Outputs (232)

Palimpsest: improving assisted curation of loco-specific literature (2016)
Journal Article
Alex, B., Grover, C., Oberlander, J., Thomson, T., Anderson, M., Loxley, J., …Zhou, K. (2017). Palimpsest: improving assisted curation of loco-specific literature. Digital Scholarship in the Humanities, 32(Supp 1), Article i4-i16. https://doi.org/10.1093/llc/fqw050

Text mining and information visualization techniques applied to large-scale historical and literary document collections have enabled new types of humanities research. The assumption behind such efforts is often that trends will emerge from the analy... Read More about Palimpsest: improving assisted curation of loco-specific literature.

Evaluating a natural horsemanship program in relation to the ISES first principles of horse training (2016)
Journal Article
North, S., Hemingway, A., McLean, A. N., Laurie, H., & Ellis-Hill, C. (in press). Evaluating a natural horsemanship program in relation to the ISES first principles of horse training. Journal of Veterinary Behavior: Clinical Applications and Research, 15, https://doi.org/10.1016/j.jveb.2016.08.040

This is the journal version of the abstract previously published in the proceedings of The 12th International Society for Equitation Science Conference (ISES2016)as:
Steve North, Ann Hemingway, Andrew N. McLean, Harriet Laurie, and Caroline Ellis-Hi... Read More about Evaluating a natural horsemanship program in relation to the ISES first principles of horse training.

Frequency domain subpixel registration using HOG phase correlation (2016)
Journal Article
Argyriou, V., & Tzimiropoulos, G. (in press). Frequency domain subpixel registration using HOG phase correlation. Computer Vision and Image Understanding, https://doi.org/10.1016/j.cviu.2016.10.019

We present a novel frequency-domain image registration technique, which employs histograms of oriented gradients providing subpixel estimates. Our method involves image filtering using dense Histogram of Oriented Gradients (HOG), which provides an ad... Read More about Frequency domain subpixel registration using HOG phase correlation.

Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach (2016)
Journal Article
Chen, J., Weiszer, M., Locatelli, G., Ravizza, S., Atkin, J. A., Stewart, P., & Burke, E. (2016). Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach. IEEE Transactions on Intelligent Transportation Systems, 17(12), 3524-3540. https://doi.org/10.1109/TITS.2016.2587619

Based on the multi-objective optimal speed profile generation framework for unimpeded taxiing aircraft presented in the precursor paper, this paper deals with how to seamlessly integrate such optimal speed profiles into a holistic decision making fra... Read More about Towards a more realistic, cost effective and greener ground movement through active routing: a multi-objective shortest path approach.

Systematic search for local-search SAT heuristics (2016)
Presentation / Conference Contribution
Burnett, A. W., & Parkes, A. J. (2016). Systematic search for local-search SAT heuristics.

Heuristics for local-search are a commonly used method of improving the performance of algorithms that solve hard computational problems. Generally these are written by human experts, however a long-standing research goal has been to automate the con... Read More about Systematic search for local-search SAT heuristics.

Decomposition techniques with mixed integer programming and heuristics for home healthcare planning (2016)
Journal Article
Laesanklang, W., & Landa-Silva, D. (2017). Decomposition techniques with mixed integer programming and heuristics for home healthcare planning. Annals of Operations Research, 256(1), 93-127. https://doi.org/10.1007/s10479-016-2352-8

We tackle home healthcare planning scenarios in the UK using decomposition methods that incorporate mixed integer programming solvers and heuristics. Home healthcare planning is a difficult problem that integrates aspects from scheduling and routing.... Read More about Decomposition techniques with mixed integer programming and heuristics for home healthcare planning.

Interaction between nearby strangers: Serendipity and playfulness (2016)
Presentation / Conference Contribution
Paasovaara, S., Lucero, A., Porcheron, M., Paavilainen, J., Aliakseyeu, D., & Olsson, T. (2016). Interaction between nearby strangers: Serendipity and playfulness. In NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction (1-3). https://doi.org/10.1145/2971485.2987674

“Nearby strangers” provides an interestingly paradoxical space for interaction design. There are various social norms, cultural practices, and privacy concerns hindering interaction with nearby strangers, but by ignoring them, people constantly miss... Read More about Interaction between nearby strangers: Serendipity and playfulness.

Screwbots (2016)
Journal Article
Malizia, A., & Chamberlain, A. (2016). Screwbots. Ubiquity, 2016(October), 1-6. https://doi.org/10.1145/3005397

Have you ever thought of lying to your smartphone to protect your privacy? Everyday we face a dilemma about privacy: We take advantage of apps that are able to use our location or data to provide smart services at the expense of privacy (we all know... Read More about Screwbots.

On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering (2016)
Journal Article
Lai, D. T. C., & Garibaldi, J. M. (2017). On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering. Advances in Intelligent Systems and Computing, 532, 3-14. https://doi.org/10.1007/978-3-319-48517-1_1

In a previous work, suitable initialisation techniques were incorporated with semi-supervised Fuzzy c-Means clustering (ssFCM) to improve clustering results on a trial and error basis. In this work, we present a single fully-automatic version of an e... Read More about On Using Genetic Algorithm for Initialising Semi-supervised Fuzzy c-Means Clustering.

GeoTracks: adaptive music for everyday journeys (2016)
Presentation / Conference Contribution
Greenhalgh, C., Hazzard, A., McGrath, S., & Benford, S. (2016). GeoTracks: adaptive music for everyday journeys. In MM '16 Proceedings of the 2016 ACM on Multimedia Conference (42-46). https://doi.org/10.1145/2964284.2967181

Listening to music on the move is an everyday activity for many people. This paper proposes geotracks and geolists, music tracks and playlists of existing music that are aligned and adapted to specific journeys. We describe how everyday walking journ... Read More about GeoTracks: adaptive music for everyday journeys.

AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge (2016)
Presentation / Conference Contribution
Valstar, M., Gratch, J., Schuller, B., Ringeval, F., Lalanne, D., Torres, M. T., …Pantic, M. (2016). AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge. In AVEC '16 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge (3-10). https://doi.org/10.1145/2988257.2988258

© 2016 Copyright held by the owner/author(s). The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) \Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for... Read More about AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge.

Balance ninja: towards the design of digital vertigo games via galvanic vestibular stimulation (2016)
Presentation / Conference Contribution
Byrne, R., Marshall, J., & Mueller, F. ‘. (2016). Balance ninja: towards the design of digital vertigo games via galvanic vestibular stimulation.

Vertigo – the momentary disruption of the stability of perception – is an intriguing game element that underlies many unique play experiences, such as spinning in circles as children to rock climbing as adults, yet vertigo is relatively unexplored wh... Read More about Balance ninja: towards the design of digital vertigo games via galvanic vestibular stimulation.

Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming (2016)
Journal Article
Zerafat Angiz, M., Nawawi, M., Khalid, R., Mustafa, A., Emrouznejad, A., John, R., & Kendall, G. (in press). Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming. Information Systems and Operational Research, 55(1), https://doi.org/10.1080/03155986.2016.1240944

This paper proposes a new method to evaluate Decision Making Units (DMUs) under uncertainty using fuzzy Data Envelopment Analysis (DEA). In the proposed multi-objective nonlinear programming methodology both the objective functions and the constraint... Read More about Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming.

Cascaded continuous regression for real-time incremental face tracking (2016)
Presentation / Conference Contribution
Sánchez Lozano, E., Martinez, B., Tzimiropoulos, G., & Valstar, M. F. (2016). Cascaded continuous regression for real-time incremental face tracking.

This paper introduces a novel real-time algorithm for facial landmark tracking. Compared to detection, tracking has both additional challenges and opportunities. Arguably the most important aspect in this domain is updating a tracker's models as trac... Read More about Cascaded continuous regression for real-time incremental face tracking.

Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction (2016)
Presentation / Conference Contribution
Eyoh, I., John, R., & de Maere, G. (2016). Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction.

This paper presents an approach to prediction based on a new interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK) fuzzy inference. The gradient descent algorithm (GDA) is used to adapt the parame- ters of the IT2IFL... Read More about Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction.

A CNN cascade for landmark guided semantic part segmentation (2016)
Presentation / Conference Contribution
Jackson, A. S., Valstar, M., & Tzimiropoulos, G. (2016). A CNN cascade for landmark guided semantic part segmentation.

This paper proposes a CNN cascade for semantic part segmentation guided by pose-specifc information encoded in terms of a set of landmarks (or keypoints). There is large amount of prior work on each of these tasks separately, yet, to the best of our... Read More about A CNN cascade for landmark guided semantic part segmentation.

^muzicode$: composing and performing musical codes (2016)
Presentation / Conference Contribution
Greenhalgh, C., Benford, S., & Hazzard, A. (2016). ^muzicode$: composing and performing musical codes.

We present muzicodes, an approach to incorporating machine-readable ‘codes’ into music that allows the performer and/or composer to flexibly define what constitutes a code, and to perform around it. These codes can then act as triggers, for example t... Read More about ^muzicode$: composing and performing musical codes.

Making music together: an exploration of amateur and pro-am Grime music production (2016)
Presentation / Conference Contribution
McGrath, S., Chamberlain, A., & Benford, S. (2016). Making music together: an exploration of amateur and pro-am Grime music production.

This novel research presents the results of an ethnographic study, which focused upon the production of an EP created by an amateur and a pro-amateur producer. The research presents their production practices across the production workflow, from ince... Read More about Making music together: an exploration of amateur and pro-am Grime music production.

The Grime scene: social media, music, creation and consumption (2016)
Presentation / Conference Contribution
McGrath, S., Chamberlain, A., & Benford, S. (2016). The Grime scene: social media, music, creation and consumption.

In this paper we start to explore and unpack the work of Grime music producers and performers with a focus on their attitudes, working practices and use of social media. We explore the origins of grime and describe a complex set of interactions betwe... Read More about The Grime scene: social media, music, creation and consumption.