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Found 6 papers, 2 papers with code
Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
The opioid epidemic, referring to the growing hospitalizations and deaths because of overdose of opioid usage and addiction, has become a severe health problem in the United States.
Graph Agent: Explicit Reasoning Agent for Graphs
Graph embedding methods such as Graph Neural Networks (GNNs) and Graph Transformers have contributed to the development of graph reasoning algorithms for various tasks on knowledge graphs.
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking
Initially, biomedical concepts are embedded using language models, and then embedding similarity is utilized to retrieve the top candidates.
Physics-enhanced machine learning for virtual fluorescence microscopy
This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy.
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression
PS-RCNN first detects slightly/none occluded objects by an R-CNN module (referred as P-RCNN), and then suppress the detected instances by human-shaped masks so that the features of heavily occluded instances can stand out.
Ranked #2 on
Object Detection
on WiderPerson
Numerical Solution of Dynamic Portfolio Optimization with Transaction Costs
We apply numerical dynamic programming techniques to solve discrete-time multi-asset dynamic portfolio optimization problems with proportional transaction costs and shorting/borrowing constraints.
