Outputs (223)

Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations (2017)
Presentation / Conference Contribution
Curtois, T., Laesanklang, W., Landa-Silva, D., Mesgarpour, M., & Qu, Y. (2017, February). Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations. Presented at 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017), Porto, Portugal

This paper gives an overview of research work in progress within the COSLE (Collaborative Optimisation in a Shared Logistics Environment) project between the University of Nottingham and Microlise Ltd. This is an R&D project that seeks to develop opt... Read More about Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations.

Industrial R&D expenditure: its determinants and propensity of technology transfer of top ten companies in Malaysia, Singapore and Taiwan (2017)
Journal Article
Goh, B. K. B., Yee, A. S. V., Kendall, G., & Chong, A. L. (2017). Industrial R&D expenditure: its determinants and propensity of technology transfer of top ten companies in Malaysia, Singapore and Taiwan. https://doi.org/10.7545/ajip.2017.6.3.354

Global research and development (R&D) spending has increased in recent years as the need for new technologies has grown and structural changes in the market have become evident. R&D and its transfer into the commercial sector have an important relati... Read More about Industrial R&D expenditure: its determinants and propensity of technology transfer of top ten companies in Malaysia, Singapore and Taiwan.

Selecting genetic operators to maximise preference satisfaction in a workforce scheduling and routing problem (2017)
Presentation / Conference Contribution
Algethami, H., Landa-Silva, D., & Martinez-Gavara, A. (2017, February). Selecting genetic operators to maximise preference satisfaction in a workforce scheduling and routing problem. Presented at 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017), Porto, Portugal

The Workforce Scheduling and Routing Problem (WSRP) is a combinatorial optimisation problem that involves scheduling and routing of workforce. Tackling this type of problem often requires handling a considerable number of requirements, including cust... Read More about Selecting genetic operators to maximise preference satisfaction in a workforce scheduling and routing problem.

Combining residual networks with LSTMs for lipreading (2017)
Presentation / Conference Contribution
Stafylakis, T., & Tzimiropoulos, G. (2017, August). Combining residual networks with LSTMs for lipreading. Presented at Interspeech 2017, Stockholm, Sweden

We propose an end-to-end deep learning architecture for word-level visual speech recognition. The system is a combination of spatiotemporal convolutional, residual and bidirectional Long Short-Term Memory networks. We train and evaluate it on the Lip... Read More about Combining residual networks with LSTMs for lipreading.

A fast community detection method in bipartite networks by distance dynamics (2017)
Journal Article
Sun, H.-L., Ch'ng, E., Yong, X., Garibaldi, J. M., See, S., & Chen, D.-B. (2018). A fast community detection method in bipartite networks by distance dynamics. Physica A: Statistical Mechanics and its Applications, 496, https://doi.org/10.1016/j.physa.2017.12.099

Many real bipartite networks are found to be divided into two-mode communities. In this paper, we formulate a new two-mode community detection algorithm BiAttractor. It is based on distance dynamics model Attractor proposed by Shao et al. with extens... Read More about A fast community detection method in bipartite networks by distance dynamics.

Univalent higher categories via complete semi-segal types (2017)
Journal Article
Capriotti, P., & Kraus, N. (2018). Univalent higher categories via complete semi-segal types. Proceedings of the ACM on Programming Languages, 2(POPL), https://doi.org/10.1145/3158132

Category theory in homotopy type theory is intricate as categorical laws can only be stated “up to homotopy”, and thus require coherences. The established notion of a univalent category (as introduced by Ahrens et al.)solves this by considering only... Read More about Univalent higher categories via complete semi-segal types.

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression (2017)
Presentation / Conference Contribution
Jackson, A. S., Bulat, A., Argyriou, V., & Tzimiropoulos, G. (2017, October). Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression. Presented at International Conference on Computer Vision (ICCV17), Venice, Italy

3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from the same subject) as input, and must address a number of methodologic... Read More about Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression.

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources (2017)
Presentation / Conference Contribution
Bulat, A., & Tzimiropoulos, G. (2017, October). Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources. Presented at International Conference on Computer Vision (ICCV17), Venice, Italy

Our goal is to design architectures that retain the groundbreaking performance of CNNs for landmark localization and at the same time are lightweight, compact and suitable for applications with limited computational resources. To this end, we make th... Read More about Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources.

A Learning Automata-Based Multiobjective Hyper-Heuristic (2017)
Journal Article
Li, W., Özcan, E., & John, R. (2019). A Learning Automata-Based Multiobjective Hyper-Heuristic. IEEE Transactions on Evolutionary Computation, 23(1), 59-73. https://doi.org/10.1109/TEVC.2017.2785346

© 1997-2012 IEEE. Metaheuristics, being tailored to each particular domain by experts, have been successfully applied to many computationally hard optimization problems. However, once implemented, their application to a new problem domain or a slight... Read More about A Learning Automata-Based Multiobjective Hyper-Heuristic.

Social music machine: crowdsourcing for composition & creativity (2017)
Presentation / Conference Contribution
Chamberlain, A., De Roure, D., & Willcox, P. Social music machine: crowdsourcing for composition & creativity. Presented at DMRN+12: Digital Music Research Network

This poster describes a compositional technique that used crowd-sourced midi clips in order to develop a piece of music, which was later performed. This work in progress highlighted some of the issues facing the designers of systems that enable the ‘... Read More about Social music machine: crowdsourcing for composition & creativity.