arXiv Computer Science @arxiv_cs@qoto.org

Cross-Camera Deep Colorization. (arXiv:2209.01211v1 [cs.CV]) http://arxiv.org/abs/2209.01211

AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CT. (arXiv:2209.01212v1 [eess.IV]) http://arxiv.org/abs/2209.01212

Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. (arXiv:2209.01215v1 [cs.LG]) http://arxiv.org/abs/2209.01215

A Method for Discovering Novel Classes in Tabular Data. (arXiv:2209.01217v1 [cs.LG]) http://arxiv.org/abs/2209.01217

A Framework for Extracting and Encoding Features from Object-Centric Event Data. (arXiv:2209.01219v1 [cs.LG]) http://arxiv.org/abs/2209.01219

Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness. (arXiv:2209.01229v1 [math.OC]) http://arxiv.org/abs/2209.01229

How Descriptive are GMRES Convergence Bounds?. (arXiv:2209.01231v1 [math.NA]) http://arxiv.org/abs/2209.01231

Elaboration-Generating Commonsense Question Answering at Scale. (arXiv:2209.01232v1 [cs.CL]) http://arxiv.org/abs/2209.01232

Better Peer Grading through Bayesian Inference. (arXiv:2209.01242v1 [cs.AI]) http://arxiv.org/abs/2209.01242

FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures. (arXiv:2209.01244v1 [cs.SE]) http://arxiv.org/abs/2209.01244

Addressing Hidden Imperfections in Online Experimentation. (arXiv:2209.00649v1 [cs.SE]) http://arxiv.org/abs/2209.00649

Analyse fonctionnelle de l'outil de gestion de planning LibStaffer. (arXiv:2209.00650v1 [cs.HC]) http://arxiv.org/abs/2209.00650

Are we measuring trust correctly in explainability, interpretability, and transparency research?. (arXiv:2209.00651v1 [cs.HC]) http://arxiv.org/abs/2209.00651

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. (arXiv:2209.00652v1 [cs.LG]) http://arxiv.org/abs/2209.00652

Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks. (arXiv:2209.00653v1 [cs.LG]) http://arxiv.org/abs/2209.00653

Temporal Conditional VAE for Distributional Drift Adaptation in Multivariate Time Series. (arXiv:2209.00654v1 [cs.LG]) http://arxiv.org/abs/2209.00654

Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax. (arXiv:2209.00655v1 [cs.LG]) http://arxiv.org/abs/2209.00655

Deep reinforcement learning for quantum multiparameter estimation. (arXiv:2209.00671v1 [quant-ph]) http://arxiv.org/abs/2209.00671

Exploring traditional machine learning for identification of pathological auscultations. (arXiv:2209.00672v1 [cs.LG]) http://arxiv.org/abs/2209.00672

Generalized $k$-Center: Distinguishing Doubling and Highway Dimension. (arXiv:2209.00675v1 [cs.DS]) http://arxiv.org/abs/2209.00675