Items where Division is "Data Science Institute" and Year is

  • University Structure (97938)
  • Data Science Institute (17)
    Number of items: 15.
  • Prediction of implant failure risk due to periprosthetic femoral fracture after primary elective total hip arthroplasty:a simplified and validated model based on 154,519 total hip arthroplasties from the Swedish Arthroplasty Register. Abdulhadi Alagha, M. and Cobb, Justin and Liddle, Alexander D and Malchau, Henrik and Rolfson, Ola and Mohaddes, Maziar picture_as_pdf
  • AI and data science for public policy. Benoit, Kenneth picture_as_pdf
  • Python is for girls!:Masculinity, femininity, and queering inclusion at hackathons. Brooke, Siân picture_as_pdf
  • Book review:Brave new words: how AI will revolutionize education. Cardoso Silva, Jon picture_as_pdf
  • Automation and the fall and rise of the servant economy. Krenz, Astrid and Strulik, Holger picture_as_pdf
  • Optimisation-based modelling for explainable lead discovery in malaria. Li, Yutong and Cardoso-Silva, Jonathan and Kelly, John M. and Delves, Michael J. and Furnham, Nicholas and Papageorgiou, Lazaros G. and Tsoka, Sophia picture_as_pdf
  • Hexagon-net:heterogeneous cross-view aligned graph attention networks for implied volatility surface prediction. Liang, Kaiwei and Liu, Ruirui and Huang, Huichou and Ruf, Johannes and Zhao, Peilin and Wu, Qingyao picture_as_pdf
  • Asset pricing with contrastive adversarial variational Bayes. Liu, Ruirui and Huang, Huichou and Ruf, Johannes picture_as_pdf
  • PL EU:emoji, language games and political polarisation. Luxmoore, Sara and Silva, Jonathan Cardoso and Ramaciotti, Pedro picture_as_pdf
  • Panacea or Pandora’s box:diverse governance strategies for conspiracy theories and their consequences in China. Ma, Ming and Han, Feng and Wang, Chuyao picture_as_pdf
  • Assessing the value of imaging data in machine learning models to predict patient-reported outcome measures in knee osteoarthritis patients. Nair, Abhinav and Alagha, M. Abdulhadi and Cobb, Justin and Jones, Gareth picture_as_pdf
  • To improve their courses, educators should respond to how students actually use AI. Sallai, Dorottya and Cardoso Silva, Jon and Barreto, Marcos picture_as_pdf
  • Approach generative AI tools proactively or risk bypassing the learning process in higher education. Sallai, Dorottya and Cardoso-Silva, Jonathan and Barreto, Marcos and Panero, Francesca and Berrada, Ghita and Luxmoore, Sara picture_as_pdf
  • Does populist voting rise where representative democracy is systemically failing? Sorace, Miriam picture_as_pdf
  • A Bayesian predictive analytics model for improving long range epidemic forecasting during an infection wave. da Costa Avelar, Pedro Henrique and del Coco, Natalia and Lamb, Luis C. and Tsoka, Sophia and Cardoso-Silva, Jonathan picture_as_pdf