All Outputs (13)

Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images (2018)
Conference Proceeding
Bukenya, F., Awwad, A., Duan, J., Ehling, J., Faas, H., & Bai, L. (2018). Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (1508-1514). https://doi.org/10.1109/SSCI.2018.8628675

Blood vessel segmentation helps to know the progress of the disease during diagnosis. The presence of intensity in-homogeneity, conglutination tissue and noise in medical images has led to difficulty in extraction of different sizes of blood vessels,... Read More about Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images.

AR Fighter: Using HMDs to Create Vertigo Play Experiences (2018)
Conference Proceeding
Byrne, R., Marshall, J., & Mueller, F. ". (2018). AR Fighter: Using HMDs to Create Vertigo Play Experiences. In CHI PLAY '18: Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play (45-57). https://doi.org/10.1145/3242671.3242689

Game designers working with Head-Mounted Displays (HMDs) are usually advised to avoid causing disorientation in players. However, we argue that disorientation is a key element of what makes “vertigo play” (such as spinning in circles until dizzy, bal... Read More about AR Fighter: Using HMDs to Create Vertigo Play Experiences.

Lookahead policy and genetic algorithm for solving nurse rostering problems (2018)
Conference Proceeding
Peng, S., & Dario, L. (2018). Lookahead policy and genetic algorithm for solving nurse rostering problems. In n/a

Previous research has shown that value function approximation in dynamic programming does not perform too well when tackling difficult combinatorial optimisation problem such as multi-stage nurse rostering. This is because the large action space that... Read More about Lookahead policy and genetic algorithm for solving nurse rostering problems.

Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies (2018)
Conference Proceeding
Kallionpää, M., Chamberlain, A., & Gasselseder, H. (2018). Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies. . https://doi.org/10.1145/3243274.3243306

Despite of its long history, opera as an art form is constantly evolving. Composers have never lost their fascination about it and keep exploring with innovative aesthetics, techniques, and modes of expression. New technologies, such as Virtual Reali... Read More about Under construction – contemporary opera in the crossroads between new aesthetics, techniques, and technologies.

Designing musical soundtracks for Brain Controlled Interface (BCI) systems (2018)
Conference Proceeding
Ramchurn, R., Chamberlain, A., & Benford, S. (2018). Designing musical soundtracks for Brain Controlled Interface (BCI) systems. https://doi.org/10.1145/3243274.3243288

This paper presents research based on the creation and development of two Brain Controlled Interface (BCI) based film experiences. The focus of this research is primarily on the audio in the films; the way that the overall experiences were designed,... Read More about Designing musical soundtracks for Brain Controlled Interface (BCI) systems.

Surfing with sound: an ethnography of the art of no-input mixing (2018)
Conference Proceeding
Chamberlain, A. (2018). Surfing with sound: an ethnography of the art of no-input mixing. https://doi.org/10.1145/3243274.3243289

The idea of No-Input Mixing may appear at first difficult to understand, after all there is no input, yet artists, performers and sound designers have used a variety of approaches using such feedback systems to create music. This paper uses ethnograp... Read More about Surfing with sound: an ethnography of the art of no-input mixing.

The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces (2018)
Conference Proceeding
Chamberlain, A., Bødker, M., Kallionpää, M., Ramchurn, R., De Roure, D., Benford, S., …Gasselseder, H. (2018). The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces. In n/a. https://doi.org/10.1145/3243274.3243314

This paper outlines some of the issues that we will be discussing in the workshop “The Design of Future Music Technologies: ‘Sounding Out’ AI, Immersive Experiences & Brain Controlled Interfaces.” Musical creation, performance and consumption is at a... Read More about The design of future music technologies: ‘sounding out’ AI, immersive experiences & brain controlled interfaces.

Towards low-cost image-based plant phenotyping using reduced-parameter CNN (2018)
Conference Proceeding
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018). Towards low-cost image-based plant phenotyping using reduced-parameter CNN

Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, these networks have many layers and parameters, increasing training a... Read More about Towards low-cost image-based plant phenotyping using reduced-parameter CNN.

Pure Functional Epidemics: An Agent-Based Approach (2018)
Conference Proceeding
Thaler, J., Altenkirch, T., & Siebers, P. (2018). Pure Functional Epidemics: An Agent-Based Approach. In IFL'18 Proceedings of 30th Symposium on Implementation and Application of Functional Languages, 5-7 September 2018, Lowell, Mass., USA (1-12). https://doi.org/10.1145/3310232.3310372

Agent-Based Simulation (ABS) is a methodology in which a system is simulated in a bottom-up approach by modelling the micro interactions of its constituting parts, called agents, out of which the global system behaviour emerges. So far mainly object-... Read More about Pure Functional Epidemics: An Agent-Based Approach.

SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence (2018)
Conference Proceeding
Havens, T. C., Pinar, A. J., Anderson, D. T., & Wagner, C. (2018). SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-6). https://doi.org/10.1109/Fuzz-Ieee.2018.8491555

© 2018 IEEE. Information or data aggregation is an important part of nearly all analysis problems as summarizing inputs from multiple sources is a ubiquitous goal. In this paper we propose a method for non-linear aggregation of data inputs that take... Read More about SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence.

A bidirectional subsethood based similarity measure for fuzzy sets (2018)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2018). A bidirectional subsethood based similarity measure for fuzzy sets. In N/A

Similarity measures are useful for reasoning about fuzzy sets. Hence, many classical set-theoretic similarity measures have been extended for comparing fuzzy sets. In previous work, a set-theoretic similarity measure considering the bidirectional sub... Read More about A bidirectional subsethood based similarity measure for fuzzy sets.

A Review of Blood Vessel Segmentation Techniques (2018)
Conference Proceeding
Bukenya, F., Kiweewa, A., & Bai, L. (2018). A Review of Blood Vessel Segmentation Techniques. In Proceedings of 1st International Conference on Computer Applications and Information Security (ICCAIS 2018). https://doi.org/10.1109/CAIS.2018.8441989

© 2018 IEEE. Due to the increasing demand for competent vessel segmentation techniques, it is important to review some of the available blood vessel segmentation techniques. This paper presents a survey of state-of-art vessel segmentation techniques.... Read More about A Review of Blood Vessel Segmentation Techniques.

A preliminary study on automatic algorithm selection for short-term traffic forecasting (2018)
Conference Proceeding
Angarita-Zapata, J. S., Triguero, I., & Masegosa, A. D. (2018). A preliminary study on automatic algorithm selection for short-term traffic forecasting. In Intelligent Distributed Computing XII. , (204-214). https://doi.org/10.1007/978-3-319-99626-4_18

© 2018, Springer Nature Switzerland AG. Despite the broad range of Machine Learning (ML) algorithms, there are no clear baselines to find the best method and its configuration given a Short-Term Traffic Forecasting (STTF) problem. In ML, this is know... Read More about A preliminary study on automatic algorithm selection for short-term traffic forecasting.