Joint representation learning of legislator and legislation for roll call prediction Y Yang, X Lin, G Lin, Z Huang, C Jiang, Z Wei Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 12 | 2021 |
Extract, transform and filling: A pipeline model for question paraphrasing based on template Y Gu, Y Yuqiao, Z Wei Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019 | 7 | 2019 |
FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis Z Deng, Y Yang, K Suzuki, Z Jin 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
Development of a small-data deep-learning model based on an MTANN for soft tissue sarcoma diagnosis in MRI. Yang Y., Jin Z., Nakatani F., Miyake M., Suzuki K. Program of Scientific Assembly and Annual Meeting of Radiological Society of …, 2023 | | 2023 |
Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models Z Jin, M Pang, Y Yang, FP Mahdi, T Qu, R Sasage, K Suzuki International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
AI-aided Diagnosis of Rare Soft-Tissue Sarcoma by Means of Massive-Training Artificial Neural Network (MTANN) Yang Y., Jin Z., Nakatani F., Miyake M., Suzuki K. 5th Annual International Conference of the IEEE Engineering in Medicine and …, 2023 | | 2023 |
Federated Tumor Segmentation with Patch-Wise Deep Learning Model Y Yang, Z Jin, K Suzuki International Workshop on Machine Learning in Medical Imaging, 456-465, 2022 | | 2022 |
Federated Learning Coupled with Massive-Training Artificial Neural Networks in Tumor Segmentation in CT Images. Y Yang, Z Jin, K Suzuki The 44th International Conference of the IEEE Engineering in Medicine and …, 2022 | | 2022 |
Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT. Y Yang, M Sato, Z Jin, K Suzuki IEICE Technical Report; IEICE Tech. Rep., 2022 | | 2022 |
Segmentation of Liver Tumor in Hepatic CT by Using MTANN Deep Learning with Small Training Dataset Size. SK Sato M, Yang Y, Jin Z The 6th International Symposium on Biomedical Engineering (ISBE2021), 2021 | | 2021 |