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