Is It Harmful when Advisors Only Pretend to Be Honest?
(2016)
Conference Proceeding
Wang, D., Muller, T., Zhang, J., & liu, Y. (2016). Is It Harmful when Advisors Only Pretend to Be Honest?. In AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, (2551--2557)
All Outputs (116)
Measuring agreement on linguistic expressions in medical treatment scenarios (2016)
Conference Proceeding
Navarro, J., Wagner, C., Aickelin, U., Green, L., & Ashford, R. (2016). Measuring agreement on linguistic expressions in medical treatment scenarios. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (1-8). https://doi.org/10.1109/SSCI.2016.7849895Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients’ perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed que... Read More about Measuring agreement on linguistic expressions in medical treatment scenarios.
Realisability of production recipes (2016)
Conference Proceeding
de Silva, L., Felli, P., Chaplin, J. C., Logan, B., Sanderson, D., & Ratchev, S. (2016). Realisability of production recipes. In ECAI 2016 - 22nd European Conference on Artificial Intelligence (1449-1457). https://doi.org/10.3233/978-1-61499-672-9-1449There is a rising demand for customised products with a high degree of complexity. To meet these demands, manufacturing lines are increasingly becoming autonomous, networked, and intelligent, with production lines being virtualised into a manufacturi... Read More about Realisability of production recipes.
Interacting with robots as performers and producers of music (2016)
Conference Proceeding
Chamberlain, A., Page, K., De Roure, D., & Klyne, G. (2016). Interacting with robots as performers and producers of music.Is it really so strange to think about a robot as something, or perhaps someone that can produce music, as a performer or even as a composer? What happens when robots perform on stage to live audiences, and when they are perceived as intelligent? In... Read More about Interacting with robots as performers and producers of music.
Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts (2016)
Conference Proceeding
Soria, D., & Garibaldi, J. M. (2016). Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts.Recent studies in breast cancer domains have identified seven distinct clinical phenotypes (groups) using immunohistochemical analysis and a variety of unsupervised learning techniques. Consensus among the clustering algorithms has been used to categ... Read More about Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts.
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016 (2016)
Conference Proceeding
Escalera, S., Torres, M. T., Martinez, B., Baro, X., Escalante, H. J., Guyon, I., …Valstar, M. (2016). ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016. In 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (706-713). https://doi.org/10.1109/CVPRW.2016.93We present the 2016 ChaLearn Looking at People and Faces of the World Challenge and Workshop, which ran three competitions on the common theme of face analysis from still images. The first one, Looking at People, addressed age estimation, while the s... Read More about ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016.
From Big data to Smart Data with the K-Nearest Neighbours algorithm (2016)
Conference Proceeding
Triguero, I., Maillo, J., Luengo, J., García, S., & Herrera, F. (2016). From Big data to Smart Data with the K-Nearest Neighbours algorithm.The k-nearest neighbours algorithm is one of the most widely used data mining models because of its simplicity and accurate results. However, when it comes to deal with big datasets, with potentially noisy and missing information, this technique beco... Read More about From Big data to Smart Data with the K-Nearest Neighbours algorithm.
Event series prediction via non-homogeneous Poisson process modelling (2016)
Conference Proceeding
Goulding, J., Preston, S. P., & Smith, G. (2016). Event series prediction via non-homogeneous Poisson process modelling. In 2016 IEEE 16th International Conference on Data Mining (ICDM). https://doi.org/10.1109/ICDM.2016.0027Data streams whose events occur at random arrival times rather than at the regular, tick-tock intervals of traditional time series are increasingly prevalent. Event series are continuous, irregular and often highly sparse, differing greatly in nature... Read More about Event series prediction via non-homogeneous Poisson process modelling.
Personal data management with the Databox: What’s inside the box? (2016)
Conference Proceeding
Mortier, R., Zhao, J., Crowcroft, J., Wang, L., Qi, L., Haddadi, H., …Greenhalgh, C. (2016). Personal data management with the Databox: What’s inside the box?. In CAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking (49-54). https://doi.org/10.1145/3010079.3010082We are all increasingly the subjects of data collection and processing systems that use data generated both about and by us to provide and optimise a wide range of services. Means for others to collect and process data that concerns each of us – ofte... Read More about Personal data management with the Databox: What’s inside the box?.
Small fish in a big pond: an architectural approach to users privacy, rights and security in the age of big data (2016)
Conference Proceeding
Angelopoulos, S., McAuley, D., Merali, Y., Mortier, R., & Price, D. (2016). Small fish in a big pond: an architectural approach to users privacy, rights and security in the age of big data.We focus on the challenges and issues associated with Big Data, and propose a novel architecture that uses the principles of Separation of Concerns and distributed computing to overcome many of the challenges associated with storage, analysis and int... Read More about Small fish in a big pond: an architectural approach to users privacy, rights and security in the age of big data.
A dynamic truck dispatching problem in marine container terminal (2016)
Conference Proceeding
Chen, J., Bai, R., Dong, H., Qu, R., & Kendall, G. (2016). A dynamic truck dispatching problem in marine container terminal.In this paper, a dynamic truck dispatching problem of a marine container terminal is described and discussed. In this problem, a few containers, encoded as work instructions, need to be transferred between yard blocks and vessels by a fleet of trucks... Read More about A dynamic truck dispatching problem in marine container terminal.
A comparative study of different fuzzy classifiers for cloud intrusion detection systems' alerts (2016)
Conference Proceeding
Alqahtani, S. M., & John, R. (2016). A comparative study of different fuzzy classifiers for cloud intrusion detection systems' alerts.The use of Internet has been increasing day by day and the internet traffic is exponentially increasing. The services providers such as web services providers, email services providers, and cloud service providers have to deal with mi... Read More about A comparative study of different fuzzy classifiers for cloud intrusion detection systems' alerts.
Inner disturbance: towards understanding the design of vertigo games through a novel balancing game (2016)
Conference Proceeding
Byrne, R., Marshall, J., & Mueller, F. ‘. (2016). Inner disturbance: towards understanding the design of vertigo games through a novel balancing game.The design space of vertigo games is under-explored, despite vertigo underlying many unique body based game experiences, such as rock climbing and dancing. In this paper we articulate the design and evaluation of a novel vertigo experience, Inner Dis... Read More about Inner disturbance: towards understanding the design of vertigo games through a novel balancing game.
An investigation of tuning a memetic algorithm for cross-domain search (2016)
Conference Proceeding
Gumus, D. B., Özcan, E., & Atkin, J. (2016). An investigation of tuning a memetic algorithm for cross-domain search. In 2016 IEEE Congress on Evolutionary Computation (CEC): 24-29 July 2016 Vancouver, Canada (135-142). https://doi.org/10.1109/CEC.2016.7743788Memetic algorithms, which hybridise evolutionary algorithms with local search, are well-known metaheuristics for solving combinatorial optimisation problems. A common issue with the application of a memetic algorithm is determining the best initial s... Read More about An investigation of tuning a memetic algorithm for cross-domain search.
Cancer subtype identification pipeline: a classifusion approach (2016)
Conference Proceeding
Agrawal, U., Soria, D., & Wagner, C. (2016). Cancer subtype identification pipeline: a classifusion approach.Classification of cancer patients into treatment groups is essential for appropriate diagnosis to increase survival. Previously, a series of papers, largely published in the breast cancer domain have leveraged Computational Intelligence (CI) developm... Read More about Cancer subtype identification pipeline: a classifusion approach.
Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop (2016)
Conference Proceeding
North, S. (2016). Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop.My big themes in this paper are: (i) ‘poetical science’: amalgamating quantitative and qualitative methods into a new hybrid approach for ACI and (ii) identifying ‘honest’ routes to user-centred design for ‘unaware’ interactors (be they neurodiverse... Read More about Give me poetical science: an invited speaker abstract for RM4ACI (Research Methods in ACI) workshop.
Ask Alice: an artificial retrieval of information agent (2016)
Conference Proceeding
Valstar, M. F., Baur, T., Cafaro, A., Ghitulescu, A., Potard, B., Wagner, J., …Waterschoot, J. V. (2016). Ask Alice: an artificial retrieval of information agent.We present a demonstration of the ARIA framework, a modular approach for rapid development of virtual humans for information retrieval that have linguistic, emotional, and social skills and a strong personality. We demonstrate the framework’s capabil... Read More about Ask Alice: an artificial retrieval of information agent.
Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study (2016)
Conference Proceeding
Marchal, P. C., Wagner, C., Gámez, J. G., & Gómez, J. O. (in press). Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study.Decision support systems (DSSs) are a convenient tool to aid plant operators in the selection of process set points. Inputs to these systems for variables that are not easily measured online often come from assessments made by experts, with an associ... Read More about Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study.
Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions (2016)
Conference Proceeding
McCulloch, J., & Wagner, C. (2016). Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (461-468). https://doi.org/10.1109/FUZZ-IEEE.2016.7737723This paper presents a method of measuring the similarity between general type-2 fuzzy sets that may have non-normal secondary membership functions. Such fuzzy sets are increasingly common in applications such as the modelling of the subjective meanin... Read More about Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions.
A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers (2016)
Conference Proceeding
Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., & Garibaldi, J. M. (in press). A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.Fuzzy logic controllers (FLCs) have extensively been used for the autonomous control and guidance of unmanned aerial vehicles (UAVs) due to their capability of handling uncertainties and delivering adequate control without the need for a precise, mat... Read More about A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.