Search Results for author:
Found 7 papers, 4 papers with code
Density-based Isometric Mapping
Multiple imaging datasets overall of 72, 236 cases, 70, 000 MINST data, 1596 from multiple Chest-XRay pneumonia datasets, and three NSCLC CT/PET datasets with a total of 640 lung cancer patients, were used to benchmark and validate PR-Isomap.
AI-Enabled Lung Cancer Prognosis
Lung cancer is the primary cause of cancer-related mortality, claiming approximately 1. 79 million lives globally in 2020, with an estimated 2. 21 million new cases diagnosed within the same period.
XPrompt: Exploring the Extreme of Prompt Tuning
Prompt tuning learns soft prompts to condition frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner.
Structural Bias for Aspect Sentiment Triplet Extraction
Thus, a natural question arises: Is structural bias still a necessity in the context of PLMs?
Making Pretrained Language Models Good Long-tailed Learners
Prompt-tuning has shown appealing performance in few-shot classification by virtue of its capability in effectively exploiting pre-trained knowledge.
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
Aspect category sentiment analysis (ACSA) and review rating prediction (RP) are two essential tasks to detect the fine-to-coarse sentiment polarities.
Iterative Inversion of Deformation Vector Fields with Feedback Control
Conclusion: Our analysis captures properties of DVF data associated with clinical CT images, and provides new understanding of iterative DVF inversion algorithms with a simple residual feedback control.
