Evaluation of a networked learning environment: training and transferability issues.
Buckner, K., & Davenport, E. (1996)
Evaluation of a networked learning environment: training and transferability issues. In M. Beaulieu, E. Davenport, & N. O. Pors (Eds.), Library and information studies : research and professional practice : proceedings of the 2nd British-Nordic Conference on Library and Information Studies, 5-18
No abstract available.
Towards reusable and reconfigurable models for the WWW
Brown, E., & Buchanan, W. (2002)
Towards reusable and reconfigurable models for the WWW. In Proceedings 26th Annual International Computer Software and Applications. , (814-815). https://doi.org/10.1109/cmpsac.2002.1045106
Reuse and component design have extensively been applied to software engineering, but reuse and formal design methods in WWW-based system is still in its infancy. Most WWW dev...
Wattom: Ambient Eco-feedback with Mid-air Input
Esteves, A., Quintal, F., Caires, F., Baptista, V., & Mendes, P. (2019)
Wattom: Ambient Eco-feedback with Mid-air Input. In 2019 5th Experiment International Conference (exp.at'19)https://doi.org/10.1109/EXPAT.2019.8876565
This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to promote a more sustainable use of electricity in the home. This paper describes o...
Simulating Dynamic Vehicle Routing Problems with Athos
Hoffman, B., Guckert, M., Chalmers, K., & Urquhart, N. (2019)
Simulating Dynamic Vehicle Routing Problems with Athos. In Proceedings of the 33rd International ECMS Conference on Modelling and Simulation ECMS 2019, (296-302). https://doi.org/10.7148/2019-0296
Complex routing problems, such as vehicle routing problems with additional constraints, are both hard to solve and hard to express in a form that is accessible to the human ex...
Algorithm selection using deep learning without feature extraction
Alissa, M., Sim, K., & Hart, E. (2019)
Algorithm selection using deep learning without feature extraction. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (198-206). https://doi.org/10.1145/3321707.3321845
We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In ...
An ethnographical orientated study of designers in a collaborative design project.
Joel, S., Smyth, M., & Rodgers, P. (2004)
An ethnographical orientated study of designers in a collaborative design project. In Studying Designers '05, 307-322
No abstract available.
Assessing the progress of implementing web accessibility - An Irish Case Study
Trulock, V., & Hetherington, R. (2008)
Assessing the progress of implementing web accessibility - An Irish Case Study. In Proceedings of the Tenth International Conference on Enterprise Information Systems Volume 5, 105-111. https://doi.org/10.5220/0001667001050111
In this paper we attempt to gauge the implementation of web accessibility guidelines in a range of Irish websites by undertaking a follow-up study in 2005 to one conducted by ...
A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution.
Sim, K., Hart, E., & Paechter, B. (2012)
A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution. In Parallel Problem Solving from Nature: PPSN XII, (348-357). https://doi.org/10.1007/978-3-642-32964-7_35
A hyper-heuristic for the one dimensional bin packing problem is presented that uses an Evolutionary Algorithm (EA) to evolve a set of attributes that characterise a problem i...
Rapid one-shot acquisition of dynamic VR avatars
Malleson, C., Kosek, M., Klaudiny, M., Huerta, I., Bazin, J., Sorkine-Hornung, A., …Mitchell, K. (2017)
Rapid one-shot acquisition of dynamic VR avatars. In IEEE 2017 Virtual Reality (VR). https://doi.org/10.1109/vr.2017.7892240
We present a system for rapid acquisition of bespoke, animatable, full-body avatars including face texture and shape. A blendshape rig with a skeleton is used as a template fo...
Real-time Physics-based Motion Capture with Sparse Sensors
Andrews, S., Huerta, I., Komura, T., Sigal, L., & Mitchell, K. (2016)
Real-time Physics-based Motion Capture with Sparse Sensors. In Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)https://doi.org/10.1145/2998559.2998564
We propose a framework for real-time tracking of humans using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units. A sm...