Christian Igel

Christian Igel

Professor

Medlem af:

    ORCID: 0000-0003-2868-0856

    Kommentarer til publikationsliste

    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: http://image.diku.dk/igel

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


    Udgivelsesår:
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    1. 2022
    2. Udgivet

      Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

      Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 okt. 2022, arxiv.org, 13 s.

      Publikation: Working paper › Preprint › Forskning

    3. Udgivet

      A Brief Overview of Unsupervised Neural Speech Representation Learning

      Borgholt, L., Havtorn, J. D., Edin, J., Maaløe, L. & Igel, Christian, 2022, Proceedings of 2nd Workshop on Self-supervised Learning for Audio and Speech Processing. Association for the Advancement of Artificial Intelligence, 13 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Udgivet

      Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

      Diao, P., Pai, A., Igel, Christian & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer, s. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13437 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

      Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. Udgivet

      Are Multilingual Sentiment Models Equally Right for the Right Reasons?

      Jørgensen, R. K., Caccavale, F., Igel, Christian & Søgaard, Anders, 2022, Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), s. 131–141

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Udgivet

      Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

      Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, jan. 2022, arXiv.org, 29 s.

      Publikation: Working paper › Preprint › Forskning

    8. Udgivet

      High accuracy in classifying endoscopic severity in ulcerative colitis using convolutional neural network

      Lo, B., Liu, Z., Bendtsen, Flemming, Igel, Christian, Vind, Ida & Burisch, J., 2022, I: The American Journal of Gastroenterology. 117, 10, s. 1648-1654

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    9. Udgivet

      Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

      Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 s.

      Publikation: Working paper › Preprint › Forskning

    10. Udgivet

      Self-Supervised Speech Representation Learning: A Review

      Mohamed, A., Lee, H. Y., Borgholt, L., Havtorn, J. D., Edin, J., Igel, Christian, Kirchhoff, K., Li, S. W., Livescu, K., Maaloe, L., Sainath, T. N. & Watanabe, S., 2022, I: IEEE Journal on Selected Topics in Signal Processing. 16, 6, s. 1179-1210

      Publikation: Bidrag til tidsskrift › Review › fagfællebedømt

    11. Udgivet

      Deep learning based 3D point cloud regression for estimating forest biomass

      Oehmcke, Stefan, Li, Lei, Revenga, J. C., Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 nov. 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (red.). Association for Computing Machinery, Inc., s. 1-4 38

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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    ID: 22657401