Stephan Sloth Lorenzen

Stephan Sloth Lorenzen

Research assistant


  1. 2021
  2. Published

    Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

    Lorenzen, Stephan Sloth, Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 Sep 2021, In: Scientific Reports. 11, 1, 10 p., 18959.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published
  4. Published

    Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search

    Lorenzen, Stephan Sloth & Pham, N., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer, p. 439-455 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12457 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. 2020
  6. Published

    Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

    Masegosa, A. R., Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. 2019
  8. Published

    Detecting ghostwriters in high schools

    Stavngaard, M., Sørensen, A., Lorenzen, Stephan Sloth, Hjuler, Niklas Brun & Alstrup, Stephen, 2019, ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), p. 197-202 6 p. (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    Investigating Writing Style Development in High School

    Lorenzen, Stephan Sloth, Hjuler, Niklas Brun & Alstrup, Stephen, 2019, Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019). Université du Québec à Montréal, p. 572-575

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Learning from Educational Data: Improving Methods and Theoretical Guarantees for Data Mining

    Lorenzen, Stephan Sloth, 2019, Department of Computer Science, Faculty of Science, University of Copenhagen.

    Research output: Book/ReportPh.D. thesisResearch

  11. Published

    On PAC-Bayesian bounds for random forests

    Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2019, In: Machine Learning. 108, 8-9, p. 1503-1522

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 2018
  13. Published

    Tracking behavioral patterns among students in an online educational system

    Lorenzen, Stephan Sloth, Hjuler, Niklas Brun & Alstrup, Stephen, 2018, Proceedings of the 11'th International Conference on Educational Data Mining. EDM / Educational Data Mining, p. 280-285

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  14. 2017
  15. Published

    On predicting student performance using low-rank matrix factorization techniques

    Lorenzen, Stephan Sloth, Pham, D. N. & Alstrup, Stephen, Oct 2017, ECEL17 - Proceedings of the 16th European Conference on e-Learning. Peres, P. & Mesquita, A. (eds.). Academic Conferences and Publishing International, p. 326-334 9 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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