Robustness investigation of cross-validation based quality measures for model assessmentby Thomas Most, Lars Gräning, Sebastian…
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalizationby Xin Sun, Liang Wang, Qiang Liu, Shu Wu,…
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesby Luca Pernigo, Rohan Sen,…
Clutter Classification Using Deep Learning in Multiple Stagesby Ryan Dempsey, Jonathan EthierFirst submitted to arxiv…
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysisby Michele Craighero, Sarah…
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollersby Moritz Scherer, Luka Macan,…
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Databy Ahmed Anwar, Brian…
Detection of Animal Movement from Weather Radar using Self-Supervised Learningby Mubin Ul Haque, Joel Janek…
An experimental comparative study of backpropagation and alternatives for training binary neural networks for image…
Random Walk Diffusion for Efficient Large-Scale Graph Generationby Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale,…