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Karanikolas, and Christos Skourlas

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1016/j.dib.2023.109357
Notice DOI
10.1016/j.dib.2023.109494
Event date
2023-08-13
Machine twin
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01One-hop citing occurrences

Correction Open
Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE

ref [72] · 2602.17314 · notice #7670 · dispute

Raw extraction · citation context

Supervised and Unsupervised Transfer Learning for Question Answering. https://arxiv.org/ abs/1711.05345 [71] Konstantinos Chytas, Anastasios Tsolakidis, Evangelia Triperina, Nikitas N. Karanikolas, and Christos Skourlas. 2023. Academic data derived from a university e-government analytic platform: An educational data mining approach.Data in Brief49 (2023), 109357. doi:10.1016/j.dib.2023.109357 [72] Benjamin Clavié and Kobi Gal. 2020. Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction. InProceedings of the 13th International Conference on Educational Data Mining, Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, and Violetta Cavalli-Sforza (Eds.). International Educational Data Mining Society, Massachusetts, USA, 7 pages.

Parser render (TeX stripped for reading; raw above is the evidence)

Supervised and Unsupervised Transfer Learning for Question Answering. https://arxiv.org/ abs/1711.05345 [71] Konstantinos Chytas, Anastasios Tsolakidis, Evangelia Triperina, Nikitas N. Karanikolas, and Christos Skourlas. 2023. Academic data derived from a university e-government analytic platform: An educational data mining approach.Data in Brief49 (2023), 109357. doi:10.1016/j.dib.2023.109357 [72] Benjamin Clavié and Kobi Gal. 2020. Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction. InProceedings of the 13th International Conference on Educational Data Mining, Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, and Violetta Cavalli-Sforza (Eds.). International Educational Data Mining Society, Massachusetts, USA, 7 pages

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