Outputs (2355)

Novel similarity measure for interval-valued data based on overlapping ratio (2017)
Presentation / Conference Contribution
Kabir, S., Wagner, C., Havens, T. C., Anderson, D. T., & Aickelin, U. (2017, July). Novel similarity measure for interval-valued data based on overlapping ratio. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs... Read More about Novel similarity measure for interval-valued data based on overlapping ratio.

Type-1 and interval type-2 ANFIS: a comparison (2017)
Presentation / Conference Contribution
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. Type-1 and interval type-2 ANFIS: a comparison. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)

In a previous paper, we proposed an extended ANFIS architecture and showed that interval type-2 ANFIS produced larger errors than type-1 ANFIS on the well-known IRIS classification problem. In this paper, more experiments on both synthetic and real-w... Read More about Type-1 and interval type-2 ANFIS: a comparison.

fuzzycreator: a python-based toolkit for automatically generating and analysing data-driven fuzzy sets (2017)
Presentation / Conference Contribution
McCulloch, J. fuzzycreator: a python-based toolkit for automatically generating and analysing data-driven fuzzy sets. Presented at IEEE International Conference on Fuzzy Sets and Systems (Fuzz-IEEE 2017)

This paper presents a toolkit for automatic generation and analysis of fuzzy sets (FS) from data. Toolkits are vital for the wider dissemination, accessibility and implementation of theoretic work and applications on FSs. There are currently several... Read More about fuzzycreator: a python-based toolkit for automatically generating and analysing data-driven fuzzy sets.

Time series forecasting with interval type-2 intuitionistic fuzzy logic systems (2017)
Presentation / Conference Contribution
Eyoh, I., John, R., & de Maere, G. Time series forecasting with interval type-2 intuitionistic fuzzy logic systems. Presented at IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)

Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy models. Type-1 models with one index (membership grade) cannot fully handle the level of uncertainty inherent in many real world applications. The type-2 models with upper a... Read More about Time series forecasting with interval type-2 intuitionistic fuzzy logic systems.

The arithmetic recursive average as an instance of the recursive weighted power mean (2017)
Presentation / Conference Contribution
Wagner, C., Havens, T. C., & Anderson, D. T. (2017, July). The arithmetic recursive average as an instance of the recursive weighted power mean. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

The aggregation of multiple information sources has a long history and ranges from sensor fusion to the aggregation of individual algorithm outputs and human knowledge. A popular approach to achieve such aggregation is the fuzzy integral (FI) which i... Read More about The arithmetic recursive average as an instance of the recursive weighted power mean.

A new dynamic approach for non-singleton fuzzification in noisy time-series prediction (2017)
Presentation / Conference Contribution
Pourabdollah, A., John, R., & Garibaldi, J. M. A new dynamic approach for non-singleton fuzzification in noisy time-series prediction. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Non-singleton fuzzification is used to model uncertain (e.g. noisy) inputs within fuzzy logic systems. In the standard approach, assuming the fuzzification type is known, the observed [noisy] input is usually considered to be the core of the input fu... Read More about A new dynamic approach for non-singleton fuzzification in noisy time-series prediction.

Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm (2017)
Journal Article
Zain, M. Z. B. M., Kanesan, J., Kendall, G., & Chuah, J. H. (in press). Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm. Expert Systems with Applications, 91, https://doi.org/10.1016/j.eswa.2017.07.034

Fed-batch fermentation has gained attention in recent years due to its beneficial impact in the economy and productivity of bioprocesses. However, the complexity of these processes requires an expert system that involves swarm intelligence-based meta... Read More about Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm.

Realising the right to data portability for the domestic Internet of things (2017)
Journal Article
Urquhart, L., Sailaja, N., & McAuley, D. (2018). Realising the right to data portability for the domestic Internet of things. Personal and Ubiquitous Computing, 22, 317-332. https://doi.org/10.1007/s00779-017-1069-2

Bringing the new right to data portability (RTDP) from an abstract legal provision in Article 20 of the EU General Data Protection Regulation (GDPR) 2016 into practice requires a greater role for the IT design community. Simply put, the RTDP seeks to... Read More about Realising the right to data portability for the domestic Internet of things.

Creating space for facilitated music performance: gesture controlled sound for users with complex disabilities (2017)
Presentation / Conference Contribution
Dickens, A., Greenhalgh, C., & Koleva, B. Creating space for facilitated music performance: gesture controlled sound for users with complex disabilities. Presented at Audio Mostly 2017

Musical interactions have the potential to increase emotional well-being, self-confidence and self-motivation. However, the ability to actively participate in creative activities involving music performance has so far been difficult for users with co... Read More about Creating space for facilitated music performance: gesture controlled sound for users with complex disabilities.

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping (2017)
Journal Article
Pound, M. P., Atkinson, J. A., Townsend, A. J., Wilson, M. H., Griffiths, M., Jackson, A. S., Bulat, A., Tzimiropoulos, G., Wells, D. M., Murchie, E. H., Pridmore, T. P., & French, A. P. (2017). Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience, 6(10), Article gix083. https://doi.org/10.1093/gigascience/gix083

© The Author 2017. In plant phenotyping, it has become important to be able to measure many features on large image sets in order to aid genetic discovery. The size of the datasets, now often captured robotically, often precludes manual inspection, h... Read More about Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.