Revealing Secrets in SPARQL Session Level. (arXiv:2009.06625v1 [cs.DB]) http://arxiv.org/abs/2009.06625
Optimal Bounds on Nonlinear Partial Differential Equations in Model Certification, Validation, and Experimental Design. (arXiv:2009.06626v1 [math.NA]) http://arxiv.org/abs/2009.06626
User Manual for the SU2 EQUiPS Module: Enabling Quantification of Uncertainty in Physics Simulations. (arXiv:2009.06627v1 [cs.CE]) http://arxiv.org/abs/2009.06627
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes. (arXiv:2009.06628v1 [math.NA]) http://arxiv.org/abs/2009.06628
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus. (arXiv:2009.06629v1 [physics.med-ph]) http://arxiv.org/abs/2009.06629
Advanced Virus Monitoring and Analysis System. (arXiv:2009.06630v1 [cs.CR]) http://arxiv.org/abs/2009.06630
Socially competent robots: adaptation improves leadership performance in groups of live fish. (arXiv:2009.06633v1 [cs.RO]) http://arxiv.org/abs/2009.06633
PDFFlow: parton distribution functions on GPU. (arXiv:2009.06635v1 [hep-ph]) http://arxiv.org/abs/2009.06635
Data Quality Evaluation using Probability Models. (arXiv:2009.06672v1 [cs.LG]) http://arxiv.org/abs/2009.06672
The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems. (arXiv:2009.06675v1 [cs.CY]) http://arxiv.org/abs/2009.06675
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation. (arXiv:2009.05576v1 [eess.IV]) http://arxiv.org/abs/2009.05576
Citing and referencing habits in Medicine and Social Sciences journals in 2019. (arXiv:2009.05588v1 [cs.DL]) http://arxiv.org/abs/2009.05588
P-CRITICAL: A Reservoir Autoregulation Plasticity Rule for Neuromorphic Hardware. (arXiv:2009.05593v1 [cs.NE]) http://arxiv.org/abs/2009.05593
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology. (arXiv:2009.05596v1 [cs.CV]) http://arxiv.org/abs/2009.05596
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. (arXiv:2009.05602v1 [cs.CR]) http://arxiv.org/abs/2009.05602
UPB at SemEval-2020 Task 6: Pretrained Language Models for DefinitionExtraction. (arXiv:2009.05603v1 [cs.CL]) http://arxiv.org/abs/2009.05603
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. (arXiv:2009.05604v1 [cs.LG]) http://arxiv.org/abs/2009.05604
A Game-Based Approach for Helping Designers Learn Machine Learning Concepts. (arXiv:2009.05605v1 [cs.HC]) http://arxiv.org/abs/2009.05605
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies. (arXiv:2009.05609v1 [cs.CV]) http://arxiv.org/abs/2009.05609
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. (arXiv:2009.05613v1 [cs.LG]) http://arxiv.org/abs/2009.05613
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