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Outputs (236)

A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes (2019)
Journal Article
Zhang, H., Mao, H., Long, Y., Yang, W., & Shao, L. (2020). A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes. IEEE Transactions on Neural Networks and Learning Systems, 31(7), 2361-2375. https://doi.org/10.1109/tnnls.2019.2955157

Zero-shot learning (ZSL), a type of structured multioutput learning, has attracted much attention due to its requirement of no training data for target classes. Conventional ZSL methods usually project visual features into semantic space and assign l... Read More about A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes.

Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection (2019)
Presentation / Conference Contribution
Samarth, G., Bhowmik, N., & Breckon, T. (2019, December). Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. Presented at 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), Boca Raton, Florida, USA

In this work we explore different Convolutional Neural Network (CNN) architectures and their variants for non-temporal binary fire detection and localization in video or still imagery. We consider the performance of experimentally defined, reduced co... Read More about Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection.

Example-based Image Recoloring in Indoor Environment (2019)
Journal Article
Lin, X., Wang, X., Li, F. W., Li, J., Yang, B., Zhang, K., & Wei, T. (2020). Example-based Image Recoloring in Indoor Environment. Computer Animation and Virtual Worlds, 31(2), Article e1917. https://doi.org/10.1002/cav.1917

Color structure of a home scene image closely relates to the material properties of its local regions. Existing color migration methods typically fail to fully infer the correlation between the coloring of local home scene regions, leading to a local... Read More about Example-based Image Recoloring in Indoor Environment.

Complete Simulation of Automata Networks (2019)
Journal Article
Bridoux, F., Castillo-Ramirez, A., & Gadouleau, M. (2020). Complete Simulation of Automata Networks. Journal of Computer and System Sciences, 109, 1-21. https://doi.org/10.1016/j.jcss.2019.12.001

Consider a finite set A and . We study complete simulation of transformations of , also known as automata networks. For , a transformation of is n-complete of size m if it may simulate every transformation of by updating one register at a time. Using... Read More about Complete Simulation of Automata Networks.

Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy (2019)
Journal Article
Toda, A. M., Klock, A. C., Oliveira, W., Palomino, P. T., Rodrigues, L., Shi, L., Bittencourt, I., Gasparini, I., Isotani, S., & Cristea, A. I. (2019). Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy. Smart Learning Environments, 6(1), https://doi.org/10.1186/s40561-019-0106-1

Gamification has been widely employed in the educational domain over the past eight years when the term became a trend. However, the literature states that gamification still lacks formal definitions to support the design and analysis of gamified str... Read More about Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy.

Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security (2019)
Presentation / Conference Contribution
Cardenas-Canto, P., Theodoropoulos, G., Obara, B., & Kureshi, I. (2019, December). Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security. Presented at IEEE International Conference on Big Data (Human-in-the-loop Methods and Human Machine Collaboration in BigData), Los Angeles, CA, USA

The study of National Security and its associated considerations is a sensitive and complex paradigm. It encapsulates both the protection of the territorial integrity and sovereignty of a state, as well as guaranteeing the security of its population.... Read More about Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security.

Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students (2019)
Presentation / Conference Contribution
Yang, B., Shi, L., Toda, A., Siarheyeva, A., Barry, C., Lang, M., Linger, H., & Schneider, C. (2019, August). Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students. Presented at 28th International Conference on Information Systems Development (ISD2019), Toulon, France

Past studies have shown that student engagement in Massive Open Online Courses (MOOCs) could be used to identify at-risk students (students with drop-out tendency). Some studies have further considered student diversity by looking into subgroup behav... Read More about Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students.