Christian Igel

Christian Igel

Professor

Member of:

    ORCID: 0000-0003-2868-0856

    Introductory remarks on publicationslist

    This list of pubications is not fully complete.

    For a complete list of older publications as well as papers and software available online please vist my old homepage: https://christian-igel.github.io

    I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ


    Publication year:
    All
    1 - 14 out of 14Page size: 50
    1. 2015
    2. Published

      A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2015, In: Theoretical Computer Science. 598, p. 102-117 16 p.

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

    3. Published

      A more efficient rank-one covariance matrix update for evolution strategies

      Krause, Oswin & Igel, Christian, 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, p. 129-136 8 p.

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

    4. Published

      Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

      Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, p. 109 1 p.

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

    5. Published

      Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

      Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, p. 218 1 p.

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

    6. Published

      Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

      Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, 1, Supplement, 1 p., B-0212.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    7. Published

      Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK)

      Polsterer, K. L., Gieseke, Fabian Cristian & Igel, Christian, 2015, Astronomical Data Analysis Software and Systems: Proceedings of a meeting held at Calgary, Alberta, Canada 5-9 October 2014. Taylor, A. R. & Rosolowsky, E. (eds.). Astronomical Society of the Pacific, Vol. 24. p. 81-86 6 p. (ASP Conference Series, Vol. 495).

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

    8. Published

      Computational complexity of linear large margin classification with ramp loss

      Maibing, S. F. & Igel, Christian, 2015, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015. Lebanon, G. & Vishwanathan, S. V. N. (eds.). p. 259-267 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 38).

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

    9. Published

      High-school dropout prediction using machine learning: a Danish large-scale study

      Şara, N., Halland, R., Igel, Christian & Alstrup, Stephen, 2015, Proceedings. ESANN 2015: 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 319-324 6 p.

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

    10. Published

      Hippocampal MRI texture is related to hippocampal glucose metabolism

      Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2015, In: Alzheimer's & Dementia. 11, 7, Supplement, p. P55-P56 2 p., IC-P-077.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    11. Published

      Hippocampal texture predicts ad conversion in amyloid positive mild cognitively impaired subjects

      Nielsen, Mads, Igel, Christian & Sørensen, L., 2015, In: Neurodegenerative Diseases. 15, Suppl. 1, p. 262 1 p., ADPD5-0947.

      Research output: Contribution to journal › Conference abstract in journal › Research

    12. Published

      Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

      Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    13. Published

      Improved Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge

      Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, Supplement 1, 1 p., B-0077.

      Research output: Contribution to journal › Conference abstract in journal › Research

    14. Published

      Nearest neighbor density ratio estimation for large-scale applications in astronomy

      Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.

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

    15. Published

      Population Monte Carlo meets contrastive divergence learning

      Krause, Oswin, Fischer, A. & Igel, Christian, 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (eds.). p. 93-94 2 p.

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

    ID: 22657401