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Fusion Branch Network with Class Learning Difficulty Loss Function for Recongnizition of Haematoma Expansion Signs in Intracerebral Haemorrhage.

, , , , , , , and . BIBM, page 3448-3455. IEEE, (2021)

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Predicting Fault-Prone Modules: A Comparative Study., , , and . SEAFOOD, volume 35 of Lecture Notes in Business Information Processing, page 45-59. Springer, (2009)A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm., , , and . IEEE Access, (2020)DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function., , , and . Inf. Sci., (2019)Improved Trust in Human-Robot Collaboration With ChatGPT., , and . IEEE Access, (2023)Sparse Graph Attention Networks., and . IEEE Trans. Knowl. Data Eng., 35 (1): 905-916 (2023)Neural Dynamics of Delayed Feedback in Robot Teleoperation: Insights from fNIRS Analysis., , , , and . CoRR, (2023)Foreformer: an enhanced transformer-based framework for multivariate time series forecasting., and . Appl. Intell., 53 (10): 12521-12540 (May 2023)Learning image block statistics and quality assessment losses for perceptual image super-resolution., , , , and . J. Electronic Imaging, 28 (1): 013042 (2019)DRETOM: developer recommendation based on topic models for bug resolution., , , and . PROMISE, page 19-28. ACM, (2012)A Requirement Traceability Refinement Method Based on Relevance Feedback., , , , and . SEKE, page 37-42. Knowledge Systems Institute Graduate School, (2009)