Combining symbolic and sub-symbolic approaches –
Improving neural Question-Answering systems through document analysis for enhanced accuracy and efficiency in Human-AI interaction in the biomedical domain
"Research bundles" give you a space in the AI on-demand platform where you can collect and publish the outputs of a small research project in a compact way. A research bundle collects in a single place all the assets (code, data, tutorials, examples, ...) produced by your project and published on the AI on-demand platform. Of course, you can also put links to assets published elsewhere, like Github or Zenodo.
Improving neural Question-Answering systems through document analysis for enhanced accuracy and efficiency in Human-AI interaction in the biomedical domain
We propose annotation unification and automatized enhancements for better user modeling by training on larger amounts of data.
We use binary supervised learning for discovering process models as temporal logic patterns
We explore novel and advanced learner representation models aimed at exploiting learning trajectories to build a transparent, personalised and efficient automatic learning tutor.
We focused on evaluating the quality of the segmentation produced by the system, where decisions regarding the length, disposition, and display duration of the caption need to be taken so as to make the text easily readable.
In this micro project, we investigated whether we can design a chatbot for behavior change by including higher level patterns, which are adapted from the taxonomy of behavior change techniques
The understanding of agency is a key factor in achieving realistic collaboration for human-centred Al research. Especially when designing complex interactions, like in creative or health contexts, the role the system plays can have crucial impact on the i...
This microproject investigated the feasibility of various hardware options particularly in-memory processing hardware acceleration
The micro-project investigated recent machine and deep learning-based methods for modeling event interactions through temporal processes.
Study of emergent collective phenomena at metropolitan level in personal navigation assistance systems with different recommendation policies, with respect to different collective optimization criteria, such as traffic load balance, safety risks and envir...