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Outputs (387)

Temporal Models for History-Aware Explainability (2020)
Presentation / Conference Contribution
Ullauri, J. M. P., García-Domínguez, A., Paucar, L. H. G., & Bencomo, N. (2020). Temporal Models for History-Aware Explainability. In A. Gherbi, W. Hamou-Lhadj, & A. Bali (Eds.), . https://doi.org/10.1145/3419804.3420276

On one hand, there has been a growing interest towards the application of AI-based learning and evolutionary programming for self-adaptation under uncertainty. On the other hand, self-explanation is one of the self-* properties that has been neglecte... Read More about Temporal Models for History-Aware Explainability.

Active Tree Search (2017)
Presentation / Conference Contribution
Lieck, R., & Toussaint, M. (2017). Active Tree Search.

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention (2022)
Presentation / Conference Contribution
Sun, Z., Harit, A., Cristea, A. I., Yu, J., Al Moubayed, N., & Shi, L. (2022). Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. . https://doi.org/10.1109/bigdata55660.2022.10020791

Medical visual question answering (Med-VQA) is to answer medical questions based on clinical images provided. This field is still in its infancy due to the complexity of the trio formed of questions, multimodal features and expert knowledge. In this... Read More about Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention.

Dynamic decision networks for decision-making in self-adaptive systems: a case study (2013)
Presentation / Conference Contribution
Bencomo, N., Belaggoun, A., & Issarny, V. (2013). Dynamic decision networks for decision-making in self-adaptive systems: a case study. In M. Litoiu, & J. Mylopoulos (Eds.), . https://doi.org/10.1109/seams.2013.6595498

Bayesian decision theory is increasingly applied to support decision-making processes under environmental variability and uncertainty. Researchers from application areas like psychology and biomedicine have applied these techniques successfully. Howe... Read More about Dynamic decision networks for decision-making in self-adaptive systems: a case study.

Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service (2022)
Presentation / Conference Contribution
Law, E. L., Følstad, A., & van As, N. (2022). Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service. . https://doi.org/10.1145/3546155.3546665

Trust in chatbots can be shaped by various factors such as humanlikeness in terms of visual appearance and conversational content, and conversational performance in terms of the chatbot’s ability to avoid conversational breakdown. The literature is i... Read More about Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service.