All Outputs (166)

Hyper-heuristics: theory and applications (2018)
Book
Pillay, N., & Qu, R. (2018). Hyper-heuristics: theory and applications. Cham, Switzerland: Springer Nature. doi:10.1007/978-3-319-96514-7

This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, pro... Read More about Hyper-heuristics: theory and applications.

A multi valued emotion lexicon created and evaluated by the crowd (2018)
Presentation / Conference
Haralabopoulos, G., Wagner, C., McAuley, D., & Simperl, E. (2018, October). A multi valued emotion lexicon created and evaluated by the crowd. Paper presented at Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS-2018)

Sentiment analysis aims to uncover emotions conveyed through information. In its simplest form, it is performed on a polarity basis, where the goal is to classify information with positive or negative emotion. Recent research has explored more nuance... Read More about A multi valued emotion lexicon created and evaluated by the crowd.

Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification (2018)
Conference Proceeding
Song, S., Zhang, S., Schuller, B. W., Shen, L., & Valstar, M. (2018). Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. In Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2018.8489497

The performance of speaker-related systems usually degrades heavily in practical applications largely due to the presence of background noise. To improve the robustness of such systems in unknown noisy environments, this paper proposes a simple pre-p... Read More about Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification.

SyFSeL: generating synthetic fuzzy sets made simple (2018)
Conference Proceeding
McCulloch, J. (2018). SyFSeL: generating synthetic fuzzy sets made simple. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Empirical tests can help determine if methods developed for fuzzy sets work correctly. However, finding a large enough data set with suitable properties to conduct thorough tests can be challenging. This paper presents a new library named SyFSeL (Syn... Read More about SyFSeL: generating synthetic fuzzy sets made simple.

An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem (2018)
Journal Article
Ascó, A. (2019). An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem. Soft Computing, 23(20), 10055–10083. https://doi.org/10.1007/s00500-018-3561-7

Taking into consideration the constraints and objectives to appropriately assigning the available airport resources throughout the period of time an airport provides its services can greatly affect the quality of service which airlines and airports p... Read More about An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem.

IoT App Development: Supporting Data Protection by Design and Default (2018)
Conference Proceeding
Lodge, T., Crabtree, A., & Brown, A. (2018). IoT App Development: Supporting Data Protection by Design and Default. In UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 901-910. doi:10.1145/3267305.3274151

In the domestic IoT domain, data is often collected by phys- ical sensors and actuators embedded in the household and used to provide contextually relevant services to end users. Given that this data is often personal, the EU’s General Data Protectio... Read More about IoT App Development: Supporting Data Protection by Design and Default.

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification (2018)
Conference Proceeding
Maillo, J., Luengo, J., Garcia, S., Herrera, F., & Triguero, I. (2018). A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. In 2018 IEEE International Conference on Fuzzy Systems (FUXX-IEEE) (1-8). https://doi.org/10.1109/FUZZ-IEEE.2018.8491595

The Fuzzy k Nearest Neighbor (Fuzzy kNN) classifier is well known for its effectiveness in supervised learning problems. kNN classifies by comparing new incoming examples with a similarity function using the samples of the training set. The fuzzy ver... Read More about A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.

Modified mixed-dimension chaotic particle swarm optimization for liner route planning with empty container repositioning (2018)
Conference Proceeding
Yu, M., Chen, Z., Chen, L., Qu, R., & Niu, B. (2018). Modified mixed-dimension chaotic particle swarm optimization for liner route planning with empty container repositioning. In Bio-inspired Computing: Theories and Applications (296-307). https://doi.org/10.1007/978-981-13-2829-9_27

Empty container repositioning has become one of the important issues in ocean shipping industry. Researchers often solve these problems using linear programming or simulation. For large-scale problems, heuristic algorithms showed to be preferable due... Read More about Modified mixed-dimension chaotic particle swarm optimization for liner route planning with empty container repositioning.

Iteration-related various learning particle swarm optimization for quay crane scheduling problem (2018)
Conference Proceeding
Yu, M., Cong, X. C., Niu, B., & Qu, R. (2018). Iteration-related various learning particle swarm optimization for quay crane scheduling problem. In Bio-inspired computing: theories and applications: 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part II (201-212). https://doi.org/10.1007/978-981-13-2829-9_19

Quay crane scheduling is critical in reducing operation costs at container terminals. Designing a schedule to handling containers in an efficient order can be difficult. For this problem which is proved NP-hard, heuristic algorithms are effective to... Read More about Iteration-related various learning particle swarm optimization for quay crane scheduling problem.

Detecting variation in mental workload levels within everyday work tasks using fNIRS (2018)
Presentation / Conference
Midha, S., Wilson, M. L., Maior, H. A., & Sharples, S. (2018, October). Detecting variation in mental workload levels within everyday work tasks using fNIRS. Poster presented at fNIRS2018, Tokyo, Japan

Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction (2018)
Journal Article
Gibbs, J., Pound, M., French, A. P., Wells, D. M., Murchie, E., & Pridmore, T. (2018). Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction. Plant Physiology, 178(2), 524-534. https://doi.org/10.1104/pp.18.00664

© 2018 American Society of Plant Biologists. All rights reserved. Three-dimensional (3D) computer-generated models of plants are urgently needed to support both phenotyping and simulation-based studies such as photosynthesis modeling. However, the co... Read More about Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction.

Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree (2018)
Journal Article
Ding, W., Triguero, I., & Lin, C. (2018). Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree. IEEE Transactions on Emerging Topics in Computational Intelligence, https://doi.org/10.1109/tetci.2018.2869919

Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant and irrelevant information, the selection, evaluation, and combination of those large-scale attributes pose huge challenges to traditional met... Read More about Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree.

Gsmodutils: A python based framework for test-driven genome scale metabolic model development (2018)
Other
Gilbert, J. P., Pearcy, N., Norman, R., Millat, T., Winzer, K., King, J., …Twycross, J. (2018). Gsmodutils: A python based framework for test-driven genome scale metabolic model development

Motivation Genome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-state behaviour. Constraints based models of this form can include tho... Read More about Gsmodutils: A python based framework for test-driven genome scale metabolic model development.

Integrating aerial and street view images for urban land use classification (2018)
Journal Article
Cao, R., Zhu, J., Tu, W., Li, Q., Cao, J., Liu, B., …Qiu, G. (2018). Integrating aerial and street view images for urban land use classification. Remote Sensing, 10(10), Article 1553. https://doi.org/10.3390/rs10101553

Urban land use is key to rational urban planning and management. Traditional land use classification methods rely heavily on domain experts, which is both expensive and inefficient. In this paper, deep neural network-based approaches are presented to... Read More about Integrating aerial and street view images for urban land use classification.

OPTIMISED – Developing a State of the Art System for Production Planning for Industry 4.0 in the Construction Industry -Based Optimisation (2018)
Conference Proceeding
Teufl, S., Owa, K., Steinhauer, D., Castro, E., Herries, G., John, R., & Ratchev, S. (2018). OPTIMISED – Developing a State of the Art System for Production Planning for Industry 4.0 in the Construction Industry -Based Optimisation. In M. Peruzzini, M. Pellicciari, C. Bil, J. Stjepandić, & N. Wognum (Eds.), Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0 : Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, July 3 – 6, 2018 (731-740). https://doi.org/10.3233/978-1-61499-898-3-731

© 2018 The authors and IOS Press. Although it is not uncommon to have a predictive model of a factory, these models are often simplistic in nature. Such models rarely reflect the current operating performance of the system, use simple and separate da... Read More about OPTIMISED – Developing a State of the Art System for Production Planning for Industry 4.0 in the Construction Industry -Based Optimisation.

HEART-IS: A novel technique for evaluating human error-related information security incidents (2018)
Journal Article
Evans, M., He, Y., Maglaras, L., & Janicke, H. (2019). HEART-IS: A novel technique for evaluating human error-related information security incidents. Computers and Security, 80, 74-89. https://doi.org/10.1016/j.cose.2018.09.002

Organisations continue to suffer information security incidents and breaches as a result of human error even though humans are recognised as the weakest link with regard to information security. Despite this level of understanding organisations conti... Read More about HEART-IS: A novel technique for evaluating human error-related information security incidents.

An agent based modelling approach for the office space allocation problem (2018)
Conference Proceeding
Dediu, A., Landa-Silva, D., & Siebers, P. (2018). An agent based modelling approach for the office space allocation problem.

This paper describes an agent based simulation model to create solutions for the office space allocation (OSA) problem. OSA is a combinatorial optimization problem concerned with the allocation of available office space to a set of entities such as p... Read More about An agent based modelling approach for the office space allocation problem.

Theorem proving for all: equational reasoning in Liquid Haskell (Functional Pearl) (2018)
Conference Proceeding
Vazou, N., Breitner, J., Kunkel, R., Van Horn, D., & Hutton, G. (2018). Theorem proving for all: equational reasoning in Liquid Haskell (Functional Pearl). In Proceedings of the 11th ACM SIGPLAN Haskell Symposium (Haskell '18) (132-144). https://doi.org/10.1145/3242744.3242756

Equational reasoning is one of the key features of pure functional languages such as Haskell. To date, however, such reasoning always took place externally to Haskell, either manually on paper, or mechanised in a theorem prover. This article shows ho... Read More about Theorem proving for all: equational reasoning in Liquid Haskell (Functional Pearl).

AutoBench: comparing the time performance of Haskell programs (2018)
Conference Proceeding
HANDLEY, M., & HUTTON, G. (2018). AutoBench: comparing the time performance of Haskell programs. In Proceedings of the 11th ACM SIGPLAN Haskell Symposium (Haskell '18). , (26-37). https://doi.org/10.1145/3242744.3242749

Two fundamental goals in programming are correctness (producing the right results) and efficiency (using as few resources as possible). Property-based testing tools such as QuickCheck provide a lightweight means to check the correctness of Haskell pr... Read More about AutoBench: comparing the time performance of Haskell programs.

A study on rotation invariance in differential evolution (2018)
Journal Article
Caraffini, F., & Neri, F. (2019). A study on rotation invariance in differential evolution. Swarm and Evolutionary Computation, 50, Article 100436. https://doi.org/10.1016/j.swevo.2018.08.013

Epistasis is the correlation between the variables of a function and is a challenge often posed by real-world optimisation problems. Synthetic benchmark problems simulate a highly epistatic problem by performing a so-called problem's rotation. Mut... Read More about A study on rotation invariance in differential evolution.