Meta-Learning with label noise: A step towards label few-shot meta-learning with label noise.

Artificial Intelligence in Radiotherapy: Probabilistic Deep Learning for Dose Prediction and Anatomy Modeling

Forecasting of SARS-Cov-2 Infections within Dutch Municipalities using Spatio-Temporal Graph Neural Networks

Predicting streamflow with LSTM networks using global datasets

DeepEgo: Deep Instantaneous Ego-Motion Estimation Using Automotive Radar

SoK: Deep Learning-based Physical Side-channel Analysis

Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI

Automatic landmark correspondence detection in medical images with an application to deformable image registration

Shape Sensing of Flexible Robots Based on Deep Learning

Label Correlation in Deep Learning-Based Side-Channel Analysis

Design knowledge graph-aided conceptual product design approach based on joint entity and relation extraction

The Role of Water Vapor Observations in Satellite Rainfall Detection Highlighted by a Deep Learning Approach

Convolutional neural network framework for wind turbine electromechanical fault detection

Toward Improved Real-Time Rainfall Intensity Estimation Using Video Surveillance Cameras

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing

Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings

Toward automatic generation of control structures for process flow diagrams with large language models

Forecasting infections with spatio-temporal graph neural networks: a case study of the Dutch SARS-CoV-2 spread

Simulation-to-real generalization for deep-learning-based refraction-corrected ultrasound tomography image reconstruction

Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning