Outputs (122)

A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks (2021)
Journal Article
Xue, Y., Jiang, P., Neri, F., & Liang, J. (2021). A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks. International Journal of Neural Systems, 31(09), Article 2150035. https://doi.org/10.1142/S0129065721500350

With the development of deep learning, the design of an appropriate network structure becomes fundamental. In recent years, the successful practice of Neural Architecture Search (NAS) has indicated that an automated design of the network structure ca... Read More about A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks.

Automated design of search algorithms: Learning on algorithmic components (2021)
Journal Article
Meng, W., & Qu, R. (2021). Automated design of search algorithms: Learning on algorithmic components. Expert Systems with Applications, 185, Article 115493. https://doi.org/10.1016/j.eswa.2021.115493

This paper proposes AutoGCOP, a new general framework for automated design of local search algorithms. In a recently established General Combinatorial Optimisation Problem (GCOP) model, the problem of algorithm design itself is defined as a combinato... Read More about Automated design of search algorithms: Learning on algorithmic components.

The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents (2021)
Journal Article
Borsci, S., Malizia, A., Schmettow, M., van der Velde, F., Tariverdiyeva, G., Balaji, D., & Chamberlain, A. (2022). The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents. Personal and Ubiquitous Computing, 26(1), 95-119. https://doi.org/10.1007/s00779-021-01582-9

Standardised tools to assess a user's satisfaction with the experience of using chatbots and conversational agents are currently unavailable. This work describes four studies; including a systematic literature review, with an overall sample of 141 pa... Read More about The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents.

Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning (2021)
Presentation / Conference Contribution
Calderon-Ramırez, S., Murillo-Hernandez, D., Rojas-Salazar, K., Calvo-Valverde, L.-A., Yang, S., Moemeni, A., Elizondo, D., Lopez-Rubio, E., & Molina-Cabello, M. (2021, July). Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning. Presented at 2021 International Joint Conference on Neural Networks (IJCNN 2021), Online

Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning model under real world scenari... Read More about Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning.

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images (2021)
Journal Article
Calderon-Ramirez, S., Yang, S., Moemeni, A., Elizondo, D., Colreavy-Donnelly, S., Chavarría-Estrada, L. F., & Molina-Cabello, M. A. (2021). Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Applied Soft Computing, 111, Article 107692. https://doi.org/10.1016/j.asoc.2021.107692

A key factor in the fight against viral diseases such as the coronavirus (COVID-19) is the identification of virus carriers as early and quickly as possible, in a cheap and efficient manner. The application of deep learning for image classification o... Read More about Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox (2021)
Presentation / Conference Contribution
Razak, T. R., Chen, C., Garibaldi, J. M., & Wagner, C. (2021, July). Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. Presented at 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg

The use of Hierarchical Fuzzy Systems (HFS) has been well acknowledged as a good approach in reducing the complexity and improving the interpretability of fuzzy logic systems (FLS). Over the past years, many fuzzy logic toolkits have been made availa... Read More about Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox.

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems (2021)
Presentation / Conference Contribution
Chen, C., Zhao, Y., Wagner, C., Pekaslan, D., & Garibaldi, J. M. (2021, July). An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems. Presented at 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg

Recent years have seen a surge in interest in non-singleton fuzzy systems. These systems enable the direct modelling of uncertainty affecting systems' inputs using the fuzzification stage. Moreover, recent work has shown how different composition app... Read More about An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems.

Interval-Valued Regression - Sensitivity to Data Set Features (2021)
Presentation / Conference Contribution
Kabir, S., & Wagner, C. (2021, July). Interval-Valued Regression - Sensitivity to Data Set Features. Presented at 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg

Regression represents one of the most basic building blocks of data analysis and AI. Despite growing interest in interval-valued data across various fields, approaches to establish regression models for interval-valued data which address and handle t... Read More about Interval-Valued Regression - Sensitivity to Data Set Features.

Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement (2021)
Journal Article
Spence, J., Darzentas, D., Cameron, H., Huang, Y., Adams, M., Farr, J. R., Tandavanitj, N., & Benford, S. (2022). Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement. Human-Computer Interaction, 37(2), 180-210. https://doi.org/10.1080/07370024.2021.1923496

HCI has recently increased its interest in the domains of museums and gifting. The former is often oriented primarily towards the past, while the latter is often oriented towards the future, in terms of anticipating the receiver’s reactions. Our arti... Read More about Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement.

The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework (2021)
Journal Article
Smith, R., Janicke, H., He, Y., Ferra, F., & Albakri, A. (2021). The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework. Computers and Security, 109, Article 102398. https://doi.org/10.1016/j.cose.2021.102398

Cyber incident response within Industrial Control Systems (ICS) is characterised by high levels of uncertainty and unpredictability and requires a multi-disciplined team that encompasses personnel business operations, Operational Technology (OT), IT,... Read More about The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework.