@inproceedings{le2021towards,
  added-at = {2022-12-10T19:50:07.000+0100},
  author = {Le Quy, Tai and Ntoutsi, Eirini},
  biburl = {https://www.bibsonomy.org/bibtex/20d908b46e5c773b4db39e44a9cf80caf/entoutsi},
  booktitle = {Proceedings of The 14th International Conference on Educational Data Mining (EDM21)},
  interhash = {cf709836fd5560f0c811f0b3ce716910},
  intrahash = {0d908b46e5c773b4db39e44a9cf80caf},
  keywords = {AIML_group l3s myown},
  pages = {847--851},
  timestamp = {2022-12-11T08:58:45.000+0100},
  title = {Towards fair, explainable and actionable clustering for learning analytics},
  url = {https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_270.pdf},
  year = 2021
}

@inproceedings{conf/edm/QuyN21,
  added-at = {2022-03-09T00:00:00.000+0100},
  author = {Quy, Tai Le and Ntoutsi, Eirini},
  biburl = {https://www.bibsonomy.org/bibtex/20fb14e001d902cc0f1e1bee2c6a1ccf9/dblp},
  booktitle = {EDM},
  crossref = {conf/edm/2021},
  editor = {Hsiao, Sharon I-Han and Sahebi, Shaghayegh (Sherry) and Bouchet, François and Vie, Jill-Jênn},
  ee = {https://educationaldatamining.org/edm2021/proceedings/},
  interhash = {cf709836fd5560f0c811f0b3ce716910},
  intrahash = {0fb14e001d902cc0f1e1bee2c6a1ccf9},
  keywords = {dblp},
  publisher = {International Educational Data Mining Society},
  timestamp = {2024-04-09T10:26:56.000+0200},
  title = {Towards fair, explainable and actionable clustering for learning analytics.},
  url = {http://dblp.uni-trier.de/db/conf/edm/edm2021.html#QuyN21},
  year = 2021
}

@inproceedings{le2021towards,
  added-at = {2022-02-18T12:57:40.000+0100},
  author = {Le Quy, Tai and Ntoutsi, Eirini},
  biburl = {https://www.bibsonomy.org/bibtex/20d908b46e5c773b4db39e44a9cf80caf/quytai3985},
  booktitle = {Proceedings of The 14th International Conference on Educational Data Mining (EDM21)},
  interhash = {cf709836fd5560f0c811f0b3ce716910},
  intrahash = {0d908b46e5c773b4db39e44a9cf80caf},
  keywords = {l3s myown},
  pages = {847--851},
  timestamp = {2022-02-18T13:01:55.000+0100},
  title = {Towards fair, explainable and actionable clustering for learning analytics},
  url = {https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_270.pdf},
  year = 2021
}