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Found 7 papers, 1 papers with code
Two Stream Active Query Suggestion for Active Learning in Connectomics
As a use case, we build an end-to-end active learning framework with our query suggestion method for 3D synapse detection and mitochondria segmentation in connectomics.
Test Time Learning for Time Series Forecasting
Time-series forecasting has seen significant advancements with the introduction of token prediction mechanisms such as multi-head attention.
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
Accurate stock market predictions following earnings reports are crucial for investors.
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods
Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods in the context of 3D scene reconstruction, this study contrasts these modern approaches with traditional Simultaneous Localization and Mapping (SLAM) systems.
3D Scene Reconstruction
Simultaneous Localization and Mapping
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
Cardiovascular disease (CVD) is a leading cause of death globally, necessitating precise forecasting models for monitoring vital signs like heart rate, blood pressure, and ECG.
Applying Machine Learning To Maize Traits Prediction
Heterosis is the improved or increased function of any biological quality in a hybrid offspring.
Deep Mask For X-ray Based Heart Disease Classification
By learning the doctor's diagnostic experience, labeling the image and using tools to extract masks of heart region, we train a U-net to generate a mask to give more attention.
