Search Results - "Ultsch, A."

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  1. 1

    Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis by Lötsch, J., Ultsch, A., Kalso, E.

    Published in British journal of anaesthesia : BJA (01-10-2017)
    “…To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning techniques were used to…”
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    Journal Article
  2. 2

    A machine‐learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes by Kringel, D., Lippmann, C., Parnham, M.J., Kalso, E., Ultsch, A., Lötsch, J.

    Published in European journal of pain (01-11-2018)
    “…Background Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial…”
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    Journal Article
  3. 3

    Emergent biomarker derived from next-generation sequencing to identify pain patients requiring uncommonly high opioid doses by Kringel, D, Ultsch, A, Zimmermann, M, Jansen, J-P, Ilias, W, Freynhagen, R, Griessinger, N, Kopf, A, Stein, C, Doehring, A, Resch, E, Lötsch, J

    Published in The pharmacogenomics journal (01-10-2017)
    “…Next-generation sequencing (NGS) provides unrestricted access to the genome, but it produces ‘big data’ exceeding in amount and complexity the classical…”
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    Journal Article
  4. 4

    A brain-lesion pattern based algorithm for the diagnosis of posttraumatic olfactory loss by Lotsch, J., Reither, N., Bogdanov, V., Hahner, A., Ultsch, A., Hill, K., Hummel, T.

    Published in Rhinology (01-12-2015)
    “…Background: Brain areas processing olfactory information exhibit functionally relevant morphological dynamics. This suggests the exploitation of anatomical…”
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    Journal Article
  5. 5

    A small yet comprehensive subset of human experimental pain models emerging from correlation analysis with a clinical quantitative sensory testing protocol in healthy subjects by Lötsch, J., Dimova, V., Ultsch, A., Lieb, I., Zimmermann, M., Geisslinger, G., Oertel, B.G.

    Published in European journal of pain (01-05-2016)
    “…Background Picturing the complexity of pain in human experimental settings has increased the predictivity for clinical pain but requires increasingly complex…”
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    Journal Article
  6. 6

    Targeting lipid metabolism by the lipoprotein lipase inhibitor orlistat results in apoptosis of B-cell chronic lymphocytic leukemia cells by Pallasch, C P, Schwamb, J, Königs, S, Schulz, A, Debey, S, Kofler, D, Schultze, J L, Hallek, M, Ultsch, A, Wendtner, C-M

    Published in Leukemia (01-03-2008)
    “…Constitutively activated pathways contribute to apoptosis resistance in chronic lymphocytic leukemia (CLL). Little is known about the metabolism of lipids and…”
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    Journal Article
  7. 7

    A brain-lesion pattern based algorithm for the diagnosis of posttraumatic olfactory loss by Lötsch, J, Reither, N, Bogdanov, V, Hähner, A, Ultsch, A, Hill, K, Hummel, T

    Published in Rhinology (01-12-2015)
    “…Brain areas processing olfactory information exhibit functionally relevant morphological dynamics. This suggests the exploitation of anatomical information in…”
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    Journal Article
  8. 8

    Modeling timbre distance with temporal statistics from polyphonic music by Morchen, F., Ultsch, A., Thies, M., Lohken, I.

    “…Timbre distance and similarity are expressions of the phenomenon that some music appears similar while other songs sound very different to us. The notion of…”
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    Journal Article
  9. 9

    The integration of connectionist models with knowledge-based systems: hybrid systems by Ultsch, A.

    “…The main difference between connectionist models and technologies of symbolic artificial intelligence is the form in which knowledge is represented i.e…”
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    Conference Proceeding
  10. 10

    A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders by Guimarães, G., Peter, J.-H., Penzel, T., Ultsch, A.

    Published in Artificial intelligence in medicine (01-11-2001)
    “…This paper presents a method for the discovery of temporal patterns in multivariate time series and their conversion into a linguistic knowledge representation…”
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    Journal Article
  11. 11

    Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression by Moerchen, Fabian, Thies, Michael, Ultsch, Alfred

    Published in Knowledge and information systems (01-10-2011)
    “…Margin-closed itemsets have previously been proposed as a subset of the closed itemsets with a minimum margin constraint on the difference in support to…”
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    Journal Article
  12. 12

    Glutamate receptors of Drosophila melanogaster: cloning of a kainate-selective subunit expressed in the central nervous system by Ultsch, A, Schuster, C.M, Laube, B, Schloss, P, Schmitt, B, Betz, H

    “…We report the isolation and functional characterization of cDNAs encoding a Drosophila kainate-selective glutamate receptor. The deduced mature 964-residue…”
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    Journal Article
  13. 13

    A neural network learning relative distances by Ultsch, A.

    “…Data mining and knowledge discovery aim at the detection of new knowledge in data sets produced by some data generating process. There are (at least) two…”
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    Conference Proceeding
  14. 14

    Self-organizing feature maps predicting sea levels by Ultsch, Alfred, Röske, Frank

    Published in Information sciences (01-07-2002)
    “…In this paper, a new method for predicting sea levels employing self-organizing feature maps is introduced. For that purpose the maps are transformed from an…”
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    Journal Article
  15. 15

    Integration of neural networks with knowledge-based systems by Ultsch, A., Korus, D.

    “…Existing prejudices of some artificial intelligence researchers against neural networks are hard to break. One of their most important arguments is that neural…”
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    Conference Proceeding
  16. 16

    Classification and prediction of hail using self-organizing neural networks by Ultsch, A., Guimaraes, G., Schmid, W.

    “…The occurrence of severe hailstorms in Switzerland is a relatively frequent event. Therefore reliable predictions of hail would be extremely important for the…”
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    Conference Proceeding
  17. 17

    Comparison of substructural epitopes in enzyme active sites using self-organizing maps by Kupas, Katrin, Ultsch, Alfred, Klebe, Gerhard

    Published in Journal of computer-aided molecular design (01-11-2004)
    “…This paper presents a new algorithm to compare substructural epitopes in protein binding cavities. Through the comparison of binding cavities accommodating…”
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    Journal Article
  18. 18

    Data normalization with self-organizing feature maps by Ultsch, A., Halmans, G.

    “…The authors present a method to find a suitable transformation using a self-organizing feature map. The feature map's learning algorithm was suitably modified…”
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    Conference Proceeding
  19. 19

    Molecular analysis of Drosophila glutamate receptors by Schuster, C M, Ultsch, A, Schmitt, B, Betz, H

    Published in EXS (Basel) (1993)
    “…Insects and other invertebrates use L-glutamate as a neurotransmitter in the central nervous system and at the neuromuscular junction. In contrast to the…”
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    Journal Article
  20. 20

    Molecular cloning of an invertebrate glutamate receptor subunit expressed in Drosophila muscle by Schuster, C.M. (Universitat Heidelberg, Heidelberg, Federal Republic of Germany), Ultsch, A, Schloss, P, Cox, J.A, Schmitt, B, Betz, H

    “…Insects and other invertebrates use glutamate as a neurotransmitter in the central nervous system and at the neuromuscular junction. A complementary DNA from…”
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    Journal Article