• Exploring various sequential learning methods for deformation history modelingYatkin, Muhammed Adil; Kõrgesaar, Mihkel; Romanoff, Jani; Stuckner, Joshua; Islak, Umit; Kurban, HasanEngineering Applications of Neural Networks : 26th International Conference, EANN 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings ; Part I2025 / p. 168-180 https://doi.org/10.1007/978-3-031-96196-0_13
• Fracture estimation based on deformation history with recurrent neural networksYatkin, Muhammed Adil; Kõrgesaar, Mihkel2023 International Conference on Machine Learning and Applications (ICMLA) : proceedings2023 / p. 1025-1030 https://doi.org/10.1109/ICMLA58977.2023.00152
• Machine learning based computational models for increased accuracy and enabling digital twinsKõrgesaar, Mihkel; Yatkin, Muhammed AdilProceedings of ASME 2025 : 44th International Conference on Ocean, Offshore andArctic Engineering (OMAE2025) ; vol. 7 Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 20252025 / art. V007T14A014 https://doi.org/10.1115/OMAE2025-157406
• Machine learning enabled identification of sheet metal localizationYatkin, Muhammed Adil; Kõrgesaar, MihkelInternational journal of solids and structures2024 / art. 112592 https://doi.org/10.1016/j.ijsolstr.2023.112592 https://www.scopus.com/sourceid/14398 https://www.scopus.com/pages/publications/85178999871?inward https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20SOLIDS%20STRUCT&year=2024 https://www.webofscience.com/wos/woscc/full-record/WOS:001134980000001
• A topological approach to enhancing consistency in machine learning via recurrent neural networksYatkin, Muhammed Adil; Kõrgesaar, Mihkel; Islak, UmitApplied sciences2025 / art. 933 https://doi.org/10.3390/app15020933 https://www.scopus.com/pages/publications/85215694420?origin=resultslist