All Outputs (4)

Towards Continuous User Authentication Using Personalised Touch-Based Behaviour (2020)
Conference Proceeding
Aaby, P., Giuffrida, M. V., Buchanan, W. J., & Tan, Z. (2020). Towards Continuous User Authentication Using Personalised Touch-Based Behaviour. In 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00023

In this paper, we present an empirical evaluation of 30 features used in touch-based continuous authentication. It is essential to identify the most significant features for each user, as behaviour is different amongst humans. Thus, a fixed feature s... Read More about Towards Continuous User Authentication Using Personalised Touch-Based Behaviour.

Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants (2020)
Journal Article
Bontpart, T., Concha, C., Giuffrida, V., Robertson, I., Admkie, K., Degefu, T., …Doerner, P. (2020). Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants. Plant Journal, 103(6), 2330-2343. https://doi.org/10.1111/tpj.14877

The phenotypic analysis of root system growth is important to inform efforts to enhance plant resource acquisition from soils. However, root phenotyping still remains challenging due to soil opacity, requiring systems that facilitate root system visi... Read More about Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants.

Understanding Deep Neural Networks For Regression In Leaf Counting (2020)
Conference Proceeding
Dobrescu, A., Giuffrida, M. V., & Tsaftaris, S. A. (2020). Understanding Deep Neural Networks For Regression In Leaf Counting. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (4321-4329). https://doi.org/10.1109/CVPRW.2019.00316

Deep learning methods are constantly increasing in popularity and success across a wide range of computer vision applications. However, they are perceived as 'black boxes', due to the lack of an intuitive interpretation of their decision processes. W... Read More about Understanding Deep Neural Networks For Regression In Leaf Counting.

Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping (2020)
Journal Article
Dobrescu, A., Giuffrida, M. V., & Tsaftaris, S. A. (2020). Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping. Frontiers in Plant Science, 11, Article 141. https://doi.org/10.3389/fpls.2020.00141

Image-based plant phenotyping has been steadily growing and this has steeply increased the need for more efficient image analysis techniques capable of evaluating multiple plant traits. Deep learning has shown its potential in a multitude of visual t... Read More about Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping.