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Found 6 papers, 4 papers with code
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
The Gal-DINO network is trained and evaluated on approximately 5, 000 visually inspected radio galaxies and their infrared hosts, encompassing both compact and extended radio morphologies.
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared hosts.
Ranked #1 on
2D Object Detection
on RadioGalaxyNET Dataset
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels
The CAMs are further refined using an inter-pixel relations network (IRNet) to get instance segmentation masks over radio galaxies and the positions of their infrared hosts.
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model
Our experiments demonstrate that the CDF-cold framework outperforms state-of-the-art forecasting models in predicting future values of multivariate time series data.
A Numerical Evaluation of the Accuracy of Influence Maximization Algorithms
We develop an algorithm to compute exact solutions to the influence maximization problem using concepts from reverse influence sampling (RIS).
Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan-Meier curves using empirical process modeling
The Kaplan-Meier product-limit estimator is a simple and powerful tool in time to event analysis.
Methodology Probability Statistics Theory Statistics Theory
