Computer Science - Machine Learning

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Vast amount of data generated from networks of sensors, wearables, and the Internet of Things (IoT) devices underscores the need for …
Cite DOI URL
Spectral Temporal Graph Neural Network for Trajectory Prediction
An effective understanding of the contextual environment and accurate motion forecasting of surrounding agents is crucial for the …
Cite DOI URL
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for …
Cite DOI URL
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data
As countries look towards re-opening of economic activities amidst the ongoing COVID-19 pandemic, ensuring public health has been …
Cite DOI URL
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Trajectory prediction for scenes with multiple agents and entities is a challenging problem in numerous domains such as traffic …
Cite DOI URL
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
The dissemination of fake news intended to deceive people, influence public opinion and manipulate social outcomes, has become a …
Cite DOI URL
How does this interaction affect me? Interpretable attribution for feature interactions
Machine learning transparency calls for interpretable explanations of how inputs relate to predictions. Feature attribution is a way to …
Cite DOI URL
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
Label noise is increasingly prevalent in datasets acquired from noisy channels. Existing approaches that detect and remove label noise …
Cite DOI URL
D$textasciicircum2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Driving datasets accelerate the development of intelligent driving and related computer vision technologies, while substantial and …
Cite DOI URL
Differentiable Physics-informed Graph Networks
While physics conveys knowledge of nature built from an interplay between observations and theory, it has been considered less …
Cite DOI URL