يعرض 1 - 10 نتائج من 265 نتيجة بحث عن '"Hintze, Arend"', وقت الاستعلام: 0.95s تنقيح النتائج
  1. 1
    Not missing at random: Missing data are associated with clinical status and trajectories in an electronic monitoring longitudinal study of bipolar disorder

    المؤلفون: Halabi, Ramzi, Mulsant, Benoit H, Alda, Martin, DeShaw, Alexandra, Hintze, Arend, Professor, Husain, Muhammad I, O'Donovan, Claire, Patterson, Rachel, Ortiz, Abigail

    المصدر: Journal of Psychiatric Research. 174:326-331

    وصف الملف: electronic

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:du-48488
    https://doi.org/10.1016/j.jpsychires.2024.04.036
    https://du.diva-portal.org/smash/get/diva2:1856620/FULLTEXT01.pdf

    View record from ScienceDirect Full Text via ClinicalKey
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  2. 2
    مؤتمر
    An extension to the NK fitness landscape model to study pleiotropy, epistasis, and ruggedness independently

    المؤلفون: Mehra, Priyanka, Hintze, Arend

    المصدر: 2022 IEEE Symposium Series on Computational Intelligence (SSCI) Computational Intelligence (SSCI), 2022 IEEE Symposium Series on. :1259-1267 Dec, 2022

    Relation: 2022 IEEE Symposium Series on Computational Intelligence (SSCI)

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  3. 3
    تقرير
    ChatGPT believes it is conscious

    المؤلفون: Hintze, Arend

    مصطلحات موضوعية: Computer Science - General Literature

    URL الوصول: http://arxiv.org/abs/2304.12898

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  4. 4
    تقرير
    Detecting Information Relays in Deep Neural Networks

    المؤلفون: Hintze, Arend, Adami, Christoph

    المصدر: Entropy 25 (2023) 401

    مصطلحات موضوعية: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Information Theory, Quantitative Biology - Neurons and Cognition

    URL الوصول: http://arxiv.org/abs/2301.00911

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  5. 5
    Reducing Epistasis and Pleiotropy Can Avoid the Survival of the Flattest Tragedy

    المؤلفون: Mehra, Priyanka, Hintze, Arend, Professor

    المصدر: Biology. 13(3)

    مصطلحات موضوعية: epistasis, mutational robustness, pleiotropy, survival of the flattest

    وصف الملف: electronic

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:du-48311
    https://doi.org/10.3390/biology13030193
    https://du.diva-portal.org/smash/get/diva2:1848179/FULLTEXT01.pdf

    Find this article in full text from ProQuest
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  6. 6
    مؤتمر
    The Role Weights Play in Catastrophic Forgetting

    المؤلفون: Hintze, Arend

    المصدر: 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI) Soft Computing & Machine Intelligence (ISCMI), 2021 8th International Conference on. :160-166 Nov, 2021

    Relation: 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI)

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  7. 7
    تقرير
    Incentivising cooperation by rewarding the weakest member

    المؤلفون: Schossau, Jory, Shirmohammadi, Bamshad, Hintze, Arend

    مصطلحات موضوعية: Computer Science - Multiagent Systems, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2212.00119

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  8. 8
    A Simple Sparsity Function to Promote Evolutionary Search

    المؤلفون: Bohm, Clifford, Hintze, Arend, Professor, Schossau, Jory

    المصدر: ALIFE 2023. :368-376

    وصف الملف: print

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:du-47521
    https://doi.org/10.1162/isal_a_00655

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  9. 9
    Towards a Theory of Mind for Artificial Intelligence Agents

    المؤلفون: Schossau, Jory, Hintze, Arend, Professor

    المصدر: ALIFE 2023. Ghost in the MAchine. Proceedings of the Artificial Life Conference 2023. :147-156

    وصف الملف: print

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:du-47520
    https://doi.org/10.1162/isal_a_00605

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  10. 10
    Assessing the color status and daylight chromaticity of road signs through machine learning approaches

    المؤلفون: Saleh, Roxan, Fleyeh, Hasan, Associate professor, Alam, Moudud, 1976, Hintze, Arend, Professor

    المصدر: IATSS Research. 47(3):305-317

    مصطلحات موضوعية: Classification, Daylight chromaticity, Machine learning algorithms, Prediction, Regression, Road signs, Accident prevention, Color, Forecasting, Forestry, Learning algorithms, Learning systems, Motor transportation, Regression analysis, Roads and streets, Support vector machines, Color levels, Machine learning models, Random forests, Regression modelling, Road safety, Supervised machine learning, Neural networks

    وصف الملف: electronic

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:du-46627
    https://doi.org/10.1016/j.iatssr.2023.06.003
    https://du.diva-portal.org/smash/get/diva2:1785725/FULLTEXT01.pdf

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