Search Results for author:
Found 6 papers, 5 papers with code
SANGEA: Scalable and Attributed Network Generation
In this paper, we present SANGEA, a sizeable synthetic graph generation framework which extends the applicability of any SGG to large graphs.
Calibrate to Interpret
In this paper we show a first link between uncertainty and explainability, by studying the relation between calibration and interpretation.
Estimating Expected Calibration Errors
Thus this paper focuses on the empirical evaluation of calibration metrics in the context of classification.
DAEMA: Denoising Autoencoder with Mask Attention
Missing data is a recurrent and challenging problem, especially when using machine learning algorithms for real-world applications.
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
Moreover, we show that the F1-score and the AVPR cannot be used to compare performances on different datasets as they do not reflect the intrinsic difficulty of modeling such data.
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles.
