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Results for Machine learning

Publications & Outputs

  1. Application of machine learning methods on dynamic strength analysis for additive manufactured polypropylene-based composites

    Cai, R., Wang, K., Wen, W., Peng, Y., Baniassadi, M. & Ahzi, S., 30/06/2022, In: Polymer Testing. 110, 12 p., 107580.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Mobile games success and failure: mining the hidden factors

    Kerim, A. & Genc, B., 2/04/2022, (E-pub ahead of print) In: Neural Computing and Applications. 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling

    Wu, D., Zhang, P., Yu, Z., Gao, Y., Zhang, H., Chen, H., Chen, S. & Tian, Y., 31/03/2022, In: Journal of Manufacturing Processes. 75, p. 767-791 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Resonance as an Applied Predictor of Cross-Cultural Interaction: Constructional Priming in Mandarin and American English Interaction

    Tantucci, V. & Wang, A., 28/02/2022, In: Applied Linguistics. 43, 1, p. 115-146 32 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Filtered Poisson process bandit on a continuum

    Grant, J. & Szechtman, R., 31/12/2021, In: European Journal of Operational Research. 295, 2, p. 575-586 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Hybrid quantum classical graph neural networks for particle track reconstruction

    Tüysüz, C., Rieger, C., Novotny, K., Demirköz, B., Dobos, D., Potamianos, K., Vallecorsa, S., Vlimant, J-R. & Forster, R., 28/11/2021, In: Quantum Machine Intelligence. 3, 2, 20 p., 29.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Post-script - Retail forecasting: Research and Practice

    Fildes, R., Kolassa, S. & Ma, S., 17/11/2021, (E-pub ahead of print) In: International Journal of Forecasting.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. FusionCL: A Machine-Learning Based Approach for OpenCL Kernel Fusion to Increase System Performance

    Khalid, Y. N., Aleem, M., Ahmed, U., Prodan, R., Islam, M. A. & Iqbal, M. A., 31/10/2021, In: Computing. 103, 10, p. 2171-2202 32 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. The performance of the global bottom-up approach in the M5 accuracy competition: a robustness check

    Ma, S. & Fildes, R., 13/10/2021, (E-pub ahead of print) In: International Journal of Forecasting. 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Discovery of marageing steels: machine learning vs. physical metallurgical modelling

    Shen, C., Wang, C., Rivera-Díaz-del-Castillo, P. E. J., Xu, D., Zhang, Q., Zhang, C. & Xu, W., 10/10/2021, In: Journal of Materials Science and Technology. 87, 10, p. 258-268 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects

    Berghout, T., Benbouzid, M., Bentrcia, T., Ma, X., Djurović, S. & Mouss, L-H., 3/10/2021, In: Energies. 14, 19, 25 p., 6316.

    Research output: Contribution to Journal/MagazineLiterature reviewpeer-review

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