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Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers (2014)
Journal Article
Havens, T. C., Anderson, D. T., & Wagner, C. (2015). Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers. IEEE Transactions on Fuzzy Systems, 23(5), https://doi.org/10.1109/TFUZZ.2014.2382133

The fuzzy integral (FI) with respect to a fuzzy measure (FM) is a powerful means of aggregating information. The most popular FIs are the Choquet and Sugeno, and most research focuses on these two variants. The arena of the FM is much more populated,... Read More about Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers.

A tensor-based selection hyper-heuristic for cross-domain heuristic search (2014)
Journal Article
Asta, S., & Özcan, E. (2015). A tensor-based selection hyper-heuristic for cross-domain heuristic search. Information Sciences, 299, https://doi.org/10.1016/j.ins.2014.12.020

Hyper-heuristics have emerged as automated high level search methodologies that manage a set of low level heuristics for solving computationally hard problems. A generic selection hyper-heuristic combines heuristic selection and move acceptance metho... Read More about A tensor-based selection hyper-heuristic for cross-domain heuristic search.

Hybridising heuristics within an estimation distribution algorithm for examination timetabling (2014)
Journal Article
Qu, R., Pham, D. N. T., Bai, R., & Kendall, G. (2015). Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Applied Intelligence, 42(4), 679-693. https://doi.org/10.1007/s10489-014-0615-0

This paper presents a hybrid hyper-heuristic approach based on estimation distribution algorithms. The main motivation is to raise the level of generality for search methodologies. The objective of the hyper-heuristic is to produce solutions of accep... Read More about Hybridising heuristics within an estimation distribution algorithm for examination timetabling.

Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel (2014)
Journal Article
Dror, M., Kendall, G., & Rapoport, A. (2016). Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel. IEEE Transactions on Computational Intelligence and AI in Games, 8(3), https://doi.org/10.1109/TCIAIG.2014.2377250

Goofspiel is a simple two-person zero-sum game for which there exist no known equilibrium strategies. To gain insight into what constitute winning strategies, we conducted a round-robin tournament in which participants were asked to provide computeri... Read More about Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel.

On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images (2014)
Journal Article
Mairhofer, S., Sturrock, C., Wells, D. M., Bennett, M. J., Mooney, S. J., & Pridmore, T. P. (2014). On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images. Functional Plant Biology, 42(5), 460-470. https://doi.org/10.1071/FP14071

© CSIRO 2015. X-ray microcomputed tomography (μCT) allows nondestructive visualisation of plant root systems within their soil environment and thus offers an alternative to the commonly used destructive methodologies for the examination of plant root... Read More about On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images.

The immersive effect of adaptive architecture (2014)
Journal Article
Schnädelbach, H., Slovák, P., Fitzpatrick, G., & Jäger, N. (2016). The immersive effect of adaptive architecture. Pervasive and Mobile Computing, 25, 143-152. https://doi.org/10.1016/j.pmcj.2014.11.006

© 2014 Elsevier B.V. All rights reserved. This paper explores the role of immersion in the generation of specific interactive effects, within the context of the emerging research field of Adaptive Architecture. Drawing on an existing biofeedback-driv... Read More about The immersive effect of adaptive architecture.

Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling (2014)
Journal Article
Li, J., Bai, R., Shen, Y., & Qu, R. (in press). Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling. European Journal of Operational Research, 242(3), https://doi.org/10.1016/j.ejor.2014.11.002

This paper presents a state transition based formal framework for a new search method, called Evolutionary Ruin and Stochastic Recreate, which tries to learn and adapt to the changing environments during the search process. It improves the performanc... Read More about Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling.

Active orientation models for face alignment in-the-wild (2014)
Journal Article
Tzimiropoulos, G., Medina, J. A., Zafeiriou, S., & Pantic, M. (2014). Active orientation models for face alignment in-the-wild. IEEE Transactions on Information Forensics and Security, 9(12), https://doi.org/10.1109/TIFS.2014.2361018

We present Active Orientation Models (AOMs), generative models of facial shape and appearance, which extend the well-known paradigm of Active Appearance Models (AAMs) for the case of generic face alignment under unconstrained conditions. Robustness s... Read More about Active orientation models for face alignment in-the-wild.

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization (2014)
Journal Article
Lwin, K., Qu, R., & Kendall, G. (2014). A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization. Applied Soft Computing, 24, https://doi.org/10.1016/j.asoc.2014.08.026

Portfolio optimization involves the optimal assignment of limited capital to different available financial assets to achieve a reasonable trade-off between profit and risk objectives. In this paper, we studied the extended Markowitz's mean-variance p... Read More about A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization.

MRPR: A MapReduce solution for prototype reduction in big data classification (2014)
Journal Article
Triguero, I., Peralta, D., Bacardit, J., García, S., & Herrera, F. (2015). MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing, 150(Part A), 331-345. https://doi.org/10.1016/j.neucom.2014.04.078

In the era of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging task. The application of standard data mining tools in such data sets is not straightforward. Hence, a new class of scalable m... Read More about MRPR: A MapReduce solution for prototype reduction in big data classification.

From pixels to response maps: discriminative image filtering for face alignment in the wild (2014)
Journal Article
Asthana, A., Zafeiriou, S., Tzimiropoulos, G., Cheng, S., & Pantic, M. (2014). From pixels to response maps: discriminative image filtering for face alignment in the wild. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(6), https://doi.org/10.1109/TPAMI.2014.2362142

We propose a face alignment framework that relies on the texture model generated by the responses of discriminatively trained part-based filters. Unlike standard texture models built from pixel intensities or responses generated by generic filters (e... Read More about From pixels to response maps: discriminative image filtering for face alignment in the wild.

Automated recovery of 3D models of plant shoots from multiple colour images (2014)
Journal Article
Pound, M. P., French, A. P., Murchie, E. H., & Pridmore, T. P. (2014). Automated recovery of 3D models of plant shoots from multiple colour images. Plant Physiology, 166(4), https://doi.org/10.1104/pp.114.248971

Increased adoption of the systems approach to biological research has focussed attention on the use of quantitative models of biological objects. This includes a need for realistic 3D representations of plant shoots for quantification and modelling.... Read More about Automated recovery of 3D models of plant shoots from multiple colour images.

On minimizing coding operations in network coding based multicast: an evolutionary algorithm (2014)
Journal Article
Xing, H., Qu, R., Bai, L., & Ji, Y. (2014). On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Applied Intelligence, 41(3), https://doi.org/10.1007/s10489-014-0559-4

In telecommunications networks, to enable a valid data transmission based on network coding, any intermediate node within a given network is allowed, if necessary, to perform coding operations. The more coding operations needed, the more coding resou... Read More about On minimizing coding operations in network coding based multicast: an evolutionary algorithm.

Implementation and experimental validation of Dynamic Movement Primitives for object handover (2014)
Journal Article
Prada, M., Koene, A., Remazeilles, A., & Endo, S. (2014). Implementation and experimental validation of Dynamic Movement Primitives for object handover. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, https://doi.org/10.1109/iros.2014.6942851

This article presents the implementation and experimental validation of a control system dedicated to human robot physical interaction during object handovers. Our control law defines the trajectory of the robotic arm towards a previously unknown han... Read More about Implementation and experimental validation of Dynamic Movement Primitives for object handover.

A principled approach to the implementation of argumentation models (2014)
Journal Article
van Gijzel, B., & Nilsson, H. (2014). A principled approach to the implementation of argumentation models. Frontiers in Artificial Intelligence and Applications, 266,

Argumentation theory combines philosophical concepts and computational models to deliver a practical approach to reasoning that handles uncertain information and possibly conflicting viewpoints. This paper focuses on the structured approach to argume... Read More about A principled approach to the implementation of argumentation models.

Augmented Neural Networks for modelling consumer indebtness (2014)
Journal Article
Ladas, A., M. Garibaldi, J., Scarpel, R., & Aickelin, U. (2014). Augmented Neural Networks for modelling consumer indebtness. Proceedings of International Joint Conference on Neural Networks, 3086-3093. https://doi.org/10.1109/IJCNN.2014.6889760

Consumer Debt has risen to be an important problem of modern societies, generating a lot of research in order to understand the nature of consumer indebtness, which so far its modelling has been carried out by statistical models. In this work we show... Read More about Augmented Neural Networks for modelling consumer indebtness.

Interval-valued fuzzy decision trees with optimal neighbourhood perimeter (2014)
Journal Article
Lertworaprachaya, Y., Yang, Y., & John, R. (2014). Interval-valued fuzzy decision trees with optimal neighbourhood perimeter. Applied Soft Computing, 24, https://doi.org/10.1016/j.asoc.2014.08.060

This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, however, precise values of f... Read More about Interval-valued fuzzy decision trees with optimal neighbourhood perimeter.

ERiSA: building emotionally realistic social game-agents companions (2014)
Journal Article
Chowanda, A., Blanchfield, P., Flintham, M. D., & Valstar, M. (in press). ERiSA: building emotionally realistic social game-agents companions. Lecture Notes in Artificial Intelligence, 8637, https://doi.org/10.1007/978-3-319-09767-1_16

We propose an integrated framework for social and emotional game-agents to enhance their believability and quality of interaction, in particular by allowing an agent to forge social relations and make appropriate use of social signals. The framework... Read More about ERiSA: building emotionally realistic social game-agents companions.

A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems (2014)
Journal Article
He, F., & Qu, R. (2014). A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems. Information Sciences, 289, https://doi.org/10.1016/j.ins.2014.08.028

In this paper, we investigate a multi-period portfolio selection problem with a comprehensive set of real-world trading constraints as well as market random uncertainty in terms of asset prices. We formulate the problem into a two-stage stochastic mi... Read More about A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems.