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Christian Igel

Christian Igel

Professor

Member of:

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: http://image.diku.dk/igel

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


  1. 2018
  2. Published

    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. p. 512-524.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

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

    2018. Paper presented at International Conference on Learning Representations, Vancouver, Canada.

    Research output: Contribution to conferencePaperResearchpeer-review

  4. Published

    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. p. 1445-1454.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Submitted

    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.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

  6. Published

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

    In: Pattern Recognition Letters, Vol. 102, 2018, p. 1-7.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

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

    In: Proceedings of Machine Learning Research, Vol. 84, 2018, p. 308-316.

    Research output: Contribution to journalConference articleResearch

  8. Published

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

    2018.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  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.

    In: Europace, 30.11.2018.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. 2017
  11. Published

    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. p. 1-8.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

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

    In: Knowledge-Based Systems, Vol. 120, 15.03.2017, p. 1-3.

    Research output: Contribution to journalJournal articleResearch

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