Ansatte – Københavns Universitet

Christian Igel

Christian Igel

Professor

Medlem af:

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

    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

  4. 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

  5. Afsendt

    Bigger buffer k-d trees on multi-many-core systems. / Gieseke, Fabian Cristian; Oancea, Cosmin Eugen; Mahabal, Ashish; Igel, Christian; Heskes, Tom.

    Big Data Deep Learning in High Performance Computing. Springer, 2018.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskning

  6. 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

  7. Udgivet

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

    I: Proceedings of Machine Learning Research, Bind 84, 2018, s. 308-316.

    Publikation: Bidrag til tidsskriftKonferenceartikelForskning

  8. Udgivet

    KNEE SEGMENTATION BY MULTIPLANAR DEEP LEARNING NETWORK – WITH DATA FROM THE OAI. / Perslev, Mathias; Pai, Akshay Sadananda Uppinakudru; Igel, Christian; Dam, Erik Bjørnager.

    2018.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  9. E-pub ahead of print

    Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning. / Shakibfar, Saeed; Krause, Oswin; Lund-Andersen, Casper; Aranda, Alfonso; Moll, Jonas; Andersen, Tariq Osman; Svendsen, Jesper Hastrup; Petersen, Helen Høgh; Igel, Christian.

    I: Europace, 30.11.2018.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. 2017
  11. Udgivet

    Massively-parallel best subset selection for ordinary least-squares regression. / Gieseke, Fabian; Polsterer, Kai Lars; Mahabal, Ashish; Igel, Christian; Heskes, Tom.

    2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, 2017. s. 1-8.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  12. Udgivet

    bufferkdtree : a Python library for massive nearest neighbor queries on multi-many-core devices. / Gieseke, Fabian Cristian; Oancea, Cosmin Eugen; Igel, Christian.

    I: Knowledge-Based Systems, Bind 120, 15.03.2017, s. 1-3.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

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