Towards Understanding of Deep Learning in Profiled Side-Channel Analysis: Similarity of predictors measured and explained

Trunk-Branch Ensemble Convolutional Neural Networks for Large Scale, Few-Shot Video-to-Still Face Recognition

Sequential Monte Carlo method for training Neural Networks on non-stationary time series

ST-Sem: A Multimodal Method for Points-of-Interest Classification Using Street-Level Imagery

Tissue Characterization by Deep Learning in Medical Hyperspectral Images

Predicting the 1p/19q co-deletion status in low grade gliomas: The effect of using local binary convolutional neural networks

Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer

Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation

Divide and Count: Generic Object Counting by Image Divisions

Convolutional Neural Network Architectures for Signals Supported on Graphs

Convolutional Graph Neural Networks

Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

A Defect Classication Methodology for Sewer Image Sets with Convolutional Neural Networks

CNN architectures for GRAPH data

Fully convolutional networks for street furniture identification in panorama images

DeepSHM: A deep learning approach for structural health monitoring based on guided Lamb wave technique

Aggregation Graph Neural Networks

Detecting Empty Wireframe Objects on Micro-Air Vehicles: Applied for Gate Detection in Autonomous Drone Racing

Quantifying coastline change uncertainty using a multi-model aggregation approach

The Case for Polymorphic Registers in Dataflow Computing