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Energy-Efficient Resource Allocation for OFDMA Heterogeneous Networks., , , and . IEEE Trans. Commun., 67 (10): 7043-7057 (2019)NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines., , , , , , , and . CoRR, (2024)Knowledge graph embedding by relational rotation and complex convolution for link prediction., , and . Expert Syst. Appl., (2023)Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines., , , , and . ICME Workshops, page 170-175. IEEE, (2023)NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines., , , , , , , and . ISM, page 10-19. IEEE, (2023)Theoretical Guarantees of Deep Embedding Losses Under Label Noise., and . CoRR, (2018)Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape., , and . PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 387-398. Springer, (2018)Image Coding For Machines: an End-To-End Learned Approach., , , , and . ICASSP, page 1590-1594. IEEE, (2021)Region of Interest Enabled Learned Image Coding for Machines., , , , and . MMSP, page 1-6. IEEE, (2023)EUMSSI Team at the MediaEval Person Discovery Challenge 2016., , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)