Sune Hannibal Holm

Sune Hannibal Holm

Associate Professor

ORCID: 0000-0002-3812-7942

Publication year:
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11 - 20 out of 60Page size: 10
  1. 2023
  2. Published

    On (assessing) the fairness of risk score models

    Petersen, E., Ganz, Melanie, Holm, Sune Hannibal & Feragen, A., 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, Inc., p. 817-829 13 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    Should people have a right not to be subjected to AI profiling based on publicly available data? A comment on Ploug

    Holm, Sune Hannibal, 2023, In: Philosophy and Technology. 36, 5 p., 38.

    Research output: Contribution to journal › Comment/debate › Research › peer-review

  4. Published

    Statistical evidence and algorithmic decision-making

    Holm, Sune Hannibal, 2023, In: Synthese. 202, 16 p., 28.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    The fairness in algorithmic fairness

    Holm, Sune Hannibal, 2023, In: Res Publica. 29, p. 265–281 17 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    The path toward equal performance in medical machine learning

    Petersen, E., Holm, Sune Hannibal, Ganz, Melanie & Feragen, A., 2023, In: Patterns. 4, 7, 9 p., 100790.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. 2022
  8. Published

    How to Assess Trustworthy AI in Practice

    Zicari, R. V., Amann, J., Bruneault, F., Coffee, M., Duedder, Boris, Gallucci, A., Gilbert, T. K., Hagendorff, T., Halem, I. V., Hickman, E., Hildt, E., Holm, Sune Hannibal, Kararigas, G., Kringen, P., Madai, V. I., Mathez, E. W., Tithi, J. J., Vetter, D., Westerlund, M. & Wurth, R., 20 Jun 2022, arxiv.org, 52 p.

    Research output: Working paper › Preprint › Research

  9. Published

    2022 roadmap on neuromorphic computing and engineering

    Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., Valov, I., Milano, G., Ricciardi, C., Liang, S. J., Miao, F., Lanza, M., Quill, T. J., Keene, S. T., Salleo, A., Grollier, J. & 39 others, Marković, D., Mizrahi, A., Yao, P., Yang, J. J., Indiveri, G., Strachan, J. P., Datta, S., Vianello, E., Valentian, A., Feldmann, J., Li, X., Pernice, W. H. P., Bhaskaran, H., Furber, S., Neftci, E., Scherr, F., Maass, W., Ramaswamy, S., Tapson, J., Panda, P., Kim, Y., Tanaka, G., Thorpe, S., Bartolozzi, C., Cleland, T. A., Posch, C., Liu, S. C., Panuccio, G., Mahmud, M., Mazumder, A. N., Hosseini, M., Mohsenin, T., Donati, E., Tolu, S., Galeazzi, R., Christensen, M. E., Holm, Sune Hannibal, Ielmini, D. & Pryds, N., 2022, In: Neuromorphic Computing and Engineering. 2, 2, 112 p., 022501.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Assessing Trustworthy AI in times of COVID-19: Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients

    Allahabadi, H., Amann, J., Balot, I., Beretta, A., Binkley, C., Bozenhard, J., Bruneault, F., Brusseau, J., Candemir, S., Cappellini, L. A., Chakraborty, S., Cherciu, N., Cociancig, C., Coffee, M., Ek, I., Espinosa-Leal, L., Farina, D., Fieux-Castagnet, G., Frauenfelder, T., Gallucci, A. & 37 others, Giuliani, G., Golda, A., Halem, I. V., Hildt, E., Holm, Sune Hannibal, Kararigas, G., Krier, S. A., Kühne, U., Lizzi, F., Madai, V. I., Markus, A. F., Masis, S., Mathez, E. W., Mureddu, F., Neri, E., Osika, W., Ozols, M., Panigutti, C., Parent, B., Pratesi, F., Moreno-Sánchez, P. A., Sartor, G., Savardi, M., Signoroni, A., Sormunen, H., Spezzatti, A., Srivastava, A., Stephansen, A. F., Theng, L. B., Tithi, J. J., Tuominen, J., Umbrello, S., Vaccher, F., Vetter, D., Westerlund, M., Wurth, R. & Zicari, R. V., 2022, In: IEEE Transactions on Technology and Society. 3, 4, p. 272-289 18 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. Published

    Handle with care: Assessing performance measures of medical AI for shared clinical decision-making

    Holm, Sune Hannibal, 2022, In: Bioethics. 36, 2, p. 178-186 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  12. Published

    To explain or not to explain? Artificial intelligence explainability in clinical decision support systems

    Amann, J., Vetter, D., Blomberg, S. N., Christensen, Helle Collatz, Coffee, M., Gerke, S., Gilbert, T. K., Hagendorff, T., Holm, Sune Hannibal, Livne, M., Spezzatti, A., Strümke, I., Zicari, R. V. & Madai, V. I., 2022, In: PLOS Digital Health. 1, 2, 18 p., e0000016.

    Research output: Contribution to journal › Journal article › Research › peer-review

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ID: 918615