InterpretableRepresentationLearningofCardiacMRIviaattributeRegularization
Interpretability is essential in medical imaging to ensure that clinicians can comprehend and trust
Interpretability is essential in medical imaging to ensure that clinicians can comprehend and trust
Temporal logics are powerful tools that are widely used for the synthesis and verification of reacti
A deep learning (DL) model, based on a transformer architecture, is trained on a climate-model datas
Modeling and manufacturing of personalized cranial implants are important research areas that may de
The scarcity of high-quality Earth Observation (EO) imagery poses a significant challenge, despite i
Our study investigates the impact of data augmentation on the performance of multivariate time serie
The evolution of software testing from manual to automated methods has significantly influenced qual
We study gradient descent (GD) dynamics on logistic regression problems with large, constant step si
The use of measured vibration data from structures has a long history of enabling the development of
We present ABEX, a novel and effective generative data augmentation methodology for low-resource Nat