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Neural Computing and Applications

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Publications

  1. 2025

  2. E-pub ahead of print

    Using incomplete and incorrect plans to shape reinforcement learning in long-sequence sparse-reward tasks

    Müller, H., Berg, L. & Kudenko, D., 10 Jan 2025, (E-pub ahead of print) In: Neural Computing and Applications. 16 p.

    Research output: Contribution to journal › Article › Research › peer review

  3. 2024

  4. E-pub ahead of print

    Increasing energy efficiency of bitcoin infrastructure with reinforcement learning and one-shot path planning for the lightning network

    Valko, D. & Kudenko, D., 11 Dec 2024, (E-pub ahead of print) In: Neural Computing and Applications. 11 p., 112620.

    Research output: Contribution to journal › Article › Research › peer review

  5. 2023

  6. Published

    An intelligence parameter classification approach for energy storage and natural convection and heat transfer of nano-encapsulated phase change material: Deep neural networks

    Ghalambaz, M., Edalatifar, M., Moradi Maryamnegari, S. & Sheremet, M., Sept 2023, In: Neural Computing and Applications. 35, 27, p. 19719-19727 9 p.

    Research output: Contribution to journal › Article › Research › peer review

  7. External

    Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks

    Navarro-Guerrero, N., Aug 2023, In: Neural Computing and Applications. 35, 23, p. 16931–16943 13 p.

    Research output: Contribution to journal › Article › Research › peer review

  8. Published

    Graph learning-based generation of abstractions for reinforcement learning

    Xue, Y., Kudenko, D. & Khosla, M., 2023, In: Neural Computing and Applications. 2023

    Research output: Contribution to journal › Article › Research › peer review

  9. 2022

  10. External

    Open set task augmentation facilitates generalization of deep neural networks trained on small data sets

    Zai El Amri, W., Reinhart, F. & Schenck, W., Apr 2022, In: Neural Computing and Applications. 34, 8, p. 6067-6083 17 p.

    Research output: Contribution to journal › Article › Research › peer review

  11. 2021

  12. Published

    Genetic-algorithm-optimized neural networks for gravitational wave classification

    Deighan, D. S., Field, S. E., Capano, C. D. & Khanna, G., 1 Oct 2021, In: Neural Computing and Applications. 33, 20, p. 13859-13883 25 p.

    Research output: Contribution to journal › Article › Research › peer review

  13. Published

    An efficient optimization approach for designing machine learning models based on genetic algorithm

    Hamdia, K. M., Zhuang, X. & Rabczuk, T., Mar 2021, In: Neural Computing and Applications. 33, 6, p. 1923-1933 11 p.

    Research output: Contribution to journal › Article › Research › peer review

  14. 2019

  15. Published

    Learning inverse dynamics for human locomotion analysis

    Zell, P. & Rosenhahn, B., 23 Dec 2019, In: Neural Computing and Applications. 32, 15, p. 11729-11743 15 p.

    Research output: Contribution to journal › Article › Research › peer review