Ansatte – Københavns Universitet

Christian Igel

Christian Igel

Professor

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


  1. 2018
  2. Udgivet

    Sparse incomplete LU-decomposition for wave farm designs under realistic conditions. / Arbonès, Dídac Rodríguez; Sergiienko, Nataliia Y.; Ding, Boyin; Krause, Oswin; Igel, Christian; Wagner, Markus.

    Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, 2018. s. 512-524.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Udgivet

    Knee Segmentation by Multiplanar Deep Learning Network – withdatafromOAI. / Perslev, Mathias; Pai, Akshay Sadananda Uppinakudru; Igel, Christian; Dam, Erik Bjørnager.

    2018. Abstract fra 12th International Workshop on Osteoarthritis Imaging, Menton, Frankrig.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  4. Udgivet

    Population-Contrastive-Divergence : Does consistency help with RBM training? / Krause, Oswin; Fischer, Asja; Igel, Christian.

    I: Pattern Recognition Letters, Bind 102, 2018, s. 1-7.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. / Florescu, Ciprian; Igel, Christian.

    2018. Paper præsenteret ved International Conference on Learning Representations, Vancouver, Canada.

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  6. Udgivet

    Robust Active Label Correction. / Kremer, Jan; Sha, Fei; Igel, Christian.

    Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. Bind 84 PMLR, 2018. s. 308-316.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Training big random forests with little resources. / Gieseke, Fabian; Igel, Christian.

    KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, 2018. s. 1445-1454.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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