no code implementations • 9 Jan 2023 • Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
These models are believed to be practical tools for analyzing students' data and ensuring fairness in EDS.
no code implementations • 22 Aug 2022 • Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
Predicting students' academic performance is one of the key tasks of educational data mining (EDM).
no code implementations • 20 Jun 2022 • Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Group work is a prevalent activity in educational settings, where students are often divided into topic-specific groups based on their preferences.
no code implementations • 17 Apr 2022 • Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real world.
1 code implementation • 1 Oct 2021 • Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
For a deeper understanding of bias in the datasets, we investigate the interesting relationships using exploratory analysis.
no code implementations • 25 Apr 2021 • Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
To this end, we introduce the fair-capacitated clustering problem that partitions the data into clusters of similar instances while ensuring cluster fairness and balancing cluster cardinalities.
no code implementations • 30 Mar 2021 • Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl
An important step towards improving the performance of these energy disaggregation methods is to improve the quality of the data sets.