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All Outputs (144)

Term frequency with average term occurrences for textual information retrieval (2015)
Journal Article
Ibrahim, O., & Landa-Silva, D. (2016). Term frequency with average term occurrences for textual information retrieval. Soft Computing, 20(8), 3045-3061. https://doi.org/10.1007/s00500-015-1935-7

In the context of Information Retrieval (IR) from text documents, the term-weighting scheme (TWS) is a key component of the matching mechanism when using the vector space model (VSM). In this paper we propose a new TWS that is based on computing the... Read More about Term frequency with average term occurrences for textual information retrieval.

A variable neighbourhood search for the workforce scheduling and routing problem (2015)
Conference Proceeding
Pinheiro, R. L., Landa-Silva, D., & Atkin, J. (2015). A variable neighbourhood search for the workforce scheduling and routing problem. In N. Pillay, A. P. Engelbrecht, A. Abraham, M. C. du Plessis, V. Snášel, & A. K. Muda (Eds.), Advances in nature and biologically inspired computing: proceedings of the 7th World Congress on Nature and Biologically Inspired Computing, NaBIC2015, in Pietermaritzburg, South Africa, held December 01-03, 2015 (247–259). https://doi.org/10.1007/978-3-319-27400-3_22

The workforce scheduling and routing problem (WSRP) is a combinatorial optimisation problem where a set of workers must perform visits to geographically scattered locations. We present a Variable Neighbourhood Search (VNS) metaheuristic algorithm to... Read More about A variable neighbourhood search for the workforce scheduling and routing problem.

Digital records and the Digital Replay System (2015)
Book Chapter
Crabtree, A., Tennent, P., Brundell, P., & Knight, D. (2015). Digital records and the Digital Replay System. In P. Halfpenny, & R. Procter (Eds.), Innovations in Digital Research MethodsSAGE Publications (UK and US)

Creativity Greenhouse: at-a-distance collaboration and competition over research funding (2015)
Journal Article
Schnädelbach, H., Sun, X., Kefalidou, G., Coughlan, T., Meese, R., Norris, J., & McAuley, D. (2016). Creativity Greenhouse: at-a-distance collaboration and competition over research funding. International Journal of Human-Computer Studies, 87, https://doi.org/10.1016/j.ijhcs.2015.10.006

This paper describes the design and evaluation of a novel mechanism to develop research proposals and distribute funding: Creativity Greenhouse (CG). Building on an established funding sandpit mechanism for co-located participants, communication tech... Read More about Creativity Greenhouse: at-a-distance collaboration and competition over research funding.

Spherical harmonics for surface parametrisation and remeshing (2015)
Journal Article
Nortje, C. R., Ward, W. O., Neuman, B. P., & Bai, L. (in press). Spherical harmonics for surface parametrisation and remeshing. Mathematical Problems in Engineering, 2015, Article 82870. https://doi.org/10.1155/2015/582870

This paper proposes a novel method for parametrisation and remeshing incomplete and irregular polygonal meshes. Spherical harmonics basis functions are used for parametrisation. This involves least squares fitting of spherical harmonics basis functio... Read More about Spherical harmonics for surface parametrisation and remeshing.

Nottingham Prognostic Index Plus: validation of a clinical decision making tool in breast cancer in an independent series (2015)
Journal Article
Green, A. R., Soria, D., Stephen, J., Powe, D. G., Nolan, C. C., Kunkler, I., …Ellis, I. O. (2016). Nottingham Prognostic Index Plus: validation of a clinical decision making tool in breast cancer in an independent series. Journal of Pathology: Clinical Research, 2, https://doi.org/10.1002/cjp2.32

The Nottingham Prognostic Index Plus (NPI+)is a clinical decision making tool in breast cancer (BC) that aims to provide improved patient outcome stratification superior to the traditional NPI. This study aimed to validate the NPI+ in an independent... Read More about Nottingham Prognostic Index Plus: validation of a clinical decision making tool in breast cancer in an independent series.

Intuitionistic Fuzzy Similarity Measures and Their Role in Classification (2015)
Journal Article
Baccour, L., Alimi, A., & John, R. (2016). Intuitionistic Fuzzy Similarity Measures and Their Role in Classification. Journal of Intelligent Systems, 25(2), https://doi.org/10.1515/jisys-2015-0086

We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs. The measures are applied to classification of shapes and handwritten Arabic sentences describe... Read More about Intuitionistic Fuzzy Similarity Measures and Their Role in Classification.

Good Laboratory Practice for optimization research (2015)
Journal Article
Kendall, G., Bai, R., Blazewicz, J., De Causmaecker, P., Gendreau, M., John, R., …Yee, A. (2016). Good Laboratory Practice for optimization research. Journal of the Operational Research Society, 67(4), 676-689. https://doi.org/10.1057/jors.2015.77

Good Laboratory Practice has been a part of non-clinical research for over 40 years yet. Optimization Research, despite having many papers discussing standards being published over the same period of time, has yet to embrace standards that underpin i... Read More about Good Laboratory Practice for optimization research.

Is there a role for publication consultants and how should their contribution be recognized? (2015)
Journal Article
Kendall, G., Yee, A., & McCollum, B. (2016). Is there a role for publication consultants and how should their contribution be recognized?. Science and Engineering Ethics, 22(5), 1553-1560. https://doi.org/10.1007/s11948-015-9710-9

When a scientific paper, dissertation or thesis is published the author(s) have a duty to report who has contributed to the work. This recognition can take several forms such as authorship, relevant acknowledgments and by citing previous work. There... Read More about Is there a role for publication consultants and how should their contribution be recognized?.

A comparison between two types of Fuzzy TOPSIS method (2015)
Conference Proceeding
Madi, E., Garibaldi, J. M., & Wagner, C. (2015). A comparison between two types of Fuzzy TOPSIS method.

Multi Criteria Decision Making methods have been developed to solve complex real-world decision problems. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is currently one of the most popular methods and has been shown to p... Read More about A comparison between two types of Fuzzy TOPSIS method.

Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games (2015)
Journal Article
Li, J., Kendall, G., & John, R. (2016). Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games. IEEE Transactions on Evolutionary Computation, 20(3), 460-469. https://doi.org/10.1109/TEVC.2015.2490076

© 2015 IEEE. Stability analysis is an important research direction in evolutionary game theory. Evolutionarily stable states have a close relationship with Nash equilibria of repeated games, which are characterized by the folk theorem. When applying... Read More about Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games.

The General Universal Property of the Propositional Truncation (2015)
Journal Article
Kraus, N. (2015). The General Universal Property of the Propositional Truncation. LIPIcs, 39, 111-145. https://doi.org/10.4230/LIPIcs.TYPES.2014.111

In a type-theoretic fibration category in the sense of Shulman (representing a dependent type theory with at least 1, Sigma, Pi, and identity types), we define the type of constant functions from A to B. This involves an infinite tower of coherence c... Read More about The General Universal Property of the Propositional Truncation.

L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection (2015)
Journal Article
Martinez, B., & Valstar, M. F. (2016). L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection. Image and Vision Computing, https://doi.org/10.1016/j.imavis.2015.09.003

We propose a new methodology for facial landmark detection. Similar to other state-of-the-art methods, we rely on the use of cascaded regression to perform inference, and we use a feature representation that results from concatenating 66 HOG descript... Read More about L 2, 1-based regression and prediction accumulation across views for robust facial landmark detection.

From front-end to back-end and everything in-between: work practice in game development (2015)
Conference Proceeding
Koleva, B., Tolmie, P., Brundell, P., Benford, S., & Rennick-Egglestone, S. (2015). From front-end to back-end and everything in-between: work practice in game development.

This paper addresses a paucity in the literature of studies of actual game development. It presents the initial findings from a questionnaire addressed to game development companies together with an ethnographic case study that drills into how resour... Read More about From front-end to back-end and everything in-between: work practice in game development.

A hybrid GRASP-VNS for Ship Routing and Scheduling Problem with Discretized Time Windows (2015)
Journal Article
Armas, J. D., Lalla-Ruiz, E., Expósito-Izquierdo, C., Landa-Silva, D., & Melián-Batista, B. (2015). A hybrid GRASP-VNS for Ship Routing and Scheduling Problem with Discretized Time Windows. Engineering Applications of Artificial Intelligence, 45, https://doi.org/10.1016/j.engappai.2015.07.013

This paper addresses the Ship Routing and Scheduling Problem with Discretized Time Windows. Being one of the most relevant and challenging problems faced by decision makers from shipping companies, this tramp shipping problem lies in determining the... Read More about A hybrid GRASP-VNS for Ship Routing and Scheduling Problem with Discretized Time Windows.

Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game (2015)
Conference Proceeding
Manh Vu, T., Siebers, P., Skatova, A., & Turocy, T. (2015). Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game. In Proceedings of the International Conference on Modeling and Applied Simulation 2015

Previous research on social dilemmas demonstrated that various forms of punishment for free-riding can increase contribution levels in public goods games. The way individual group members react to the possibility of punishment can be also affected by... Read More about Modelling the Effect of Individual Differences in Punishment Sensitivity on Behaviour in a Public Goods Game.

Fast and exact bi-directional fitting of active appearance models (2015)
Conference Proceeding
Kossaifi, J., Tzimiropoulos, G., & Pantic, M. (2015). Fast and exact bi-directional fitting of active appearance models.

Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a... Read More about Fast and exact bi-directional fitting of active appearance models.

Modelling and simulation of rail passengers to evaluate methods to reduce dwell times (2015)
Conference Proceeding
Perkins, A., Ryan, B., & Siebers, P. (2015). Modelling and simulation of rail passengers to evaluate methods to reduce dwell times.

The paper outlines a feasibility study using modelling and simulation to reduce dwell times and increase rail network capacity. We use agent based modelling, where passengers are treated as a separate entities, basing their movements on rules from th... Read More about Modelling and simulation of rail passengers to evaluate methods to reduce dwell times.

Human data interaction: historical lessons from social studies and CSCW (2015)
Conference Proceeding
Crabtree, A., & Mortier, R. (2015). Human data interaction: historical lessons from social studies and CSCW.

Human Data Interaction (HDI) is an emerging field of research that seeks to support end-users in the day-to-day management of their personal digital data. This is a programmatic paper that seeks to elaborate foundational challenges that face HDI from... Read More about Human data interaction: historical lessons from social studies and CSCW.