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Predicting User Preference Based on Matrix Factorization by Exploiting Music Attributes.

, , , и . C3S2E, стр. 61-66. ACM, (2016)

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Amir Hossein Nahali

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RUTICO: Recommending Successful Learning Paths Under Time Constraints., , и . UMAP (Adjunct Publication), стр. 153-158. ACM, (2017)A long term goal recommender approach for learning environments. University of Porto, Portugal, (2018)DynaGame: a rule editor for gamified education., , и . ICGI, стр. 1-7. IEEE, (2021)Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Adaptive learning path recommender approach using auxiliary learning objects., , , , и . Comput. Educ., (2020)How Do Students Behave in a Gamified Course? - A Ten-Year Study., , , и . IEEE Access, (2021)Predicting User Preference Based on Matrix Factorization by Exploiting Music Attributes., , , и . C3S2E, стр. 61-66. ACM, (2016)Long Term Goal Oriented Recommender Systems., , и . WEBIST, стр. 552-557. SciTePress, (2015)Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer., , , , , , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Early Prediction of Students' Final Grades in a Gamified Course., , , и . IEEE Trans. Learn. Technol., 15 (3): 311-325 (2022)