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Found 7 papers, 0 papers with code
Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large Language Model as the Expert
To design an optimal portfolio for an MPI distributor, it is essential to predict the box office of each project.
Predicting the Risk of Ischemic Stroke in Patients with Atrial Fibrillation using Heterogeneous Drug-protein-disease Network-based Deep Learning
The model integrates drug-protein-disease pathways and real-world clinical data of AF patients to generate the IS risk and potential pathways for each patient.
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
It breaks down the interpretability process into data pre-processing, model selection, and post-processing, aiming to foster a comprehensive understanding of the crucial role of a robust interpretability approach in healthcare and to guide future research in this area.
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Accurate forecasting of traffic conditions is critical for improving safety, stability, and efficiency of a city transportation system.
Automatic Rail Component Detection Based on AttnConv-Net
The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety.
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Most existing vision-based approaches focus on the detection of frontal intrusion objects with prior labels, such as categories and locations of the objects.
Viewpoint-Invariant Exercise Repetition Counting
We have also tested the performance in a variety of camera locations and concurrent motions with conveniently collected video with overall MAE 0. 06 and OBOA 0. 88.
