arXiv Statistics @arxiv_stats@qoto.org

Generating SOAP Notes from Doctor-Patient Conversations. (arXiv:2005.01795v1 [cs.CL]) http://arxiv.org/abs/2005.01795

Automated Detection of Rest Disruptions in Critically Ill Patients. (arXiv:2005.01798v1 [q-bio.QM]) http://arxiv.org/abs/2005.01798

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security. (arXiv:2005.01800v1 [cs.CR]) http://arxiv.org/abs/2005.01800

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. (arXiv:2005.01807v1 [cs.LG]) http://arxiv.org/abs/2005.01807

Cross-validation based adaptive sampling for Gaussian process models. (arXiv:2005.01814v1 [stat.CO]) http://arxiv.org/abs/2005.01814

Is Time to Intervention in the COVID-19 Outbreak Really Important? A Global Sensitivity Analysis Approach. (arXiv:2005.01833v1 [stat.AP]) http://arxiv.org/abs/2005.01833

The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation. (arXiv:2005.01835v1 [stat.ME]) http://arxiv.org/abs/2005.01835

Low-Dimensional Hyperbolic Knowledge Graph Embeddings. (arXiv:2005.00545v1 [cs.LG]) http://arxiv.org/abs/2005.00545

How Large is too Large? A Review of the Issues related to Sample Size Requirements of Regional Household Travel Surveys with a Case Study on the Greater Toronto and Hamilton Area (GTHA). (arXiv:2005.00563v1 [stat.AP]) http://arxiv.org/abs/2005.00563

Response-adaptive randomization in clinical trials: from myths to practical considerations. (arXiv:2005.00564v1 [stat.ME]) http://arxiv.org/abs/2005.00564

Adversarial domain adaptation to reduce sample bias of a high energy physics classifier. (arXiv:2005.00568v1 [stat.ML]) http://arxiv.org/abs/2005.00568

When Ensembling Smaller Models is More Efficient than Single Large Models. (arXiv:2005.00570v1 [cs.LG]) http://arxiv.org/abs/2005.00570

Improving Robustness via Risk Averse Distributional Reinforcement Learning. (arXiv:2005.00585v1 [cs.LG]) http://arxiv.org/abs/2005.00585

Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining. (arXiv:2005.00592v1 [stat.AP]) http://arxiv.org/abs/2005.00592

Learning from Noisy Labels with Noise Modeling Network. (arXiv:2005.00596v1 [cs.CV]) http://arxiv.org/abs/2005.00596

Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging. (arXiv:2005.00597v1 [stat.ME]) http://arxiv.org/abs/2005.00597

Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression". (arXiv:2005.00605v1 [stat.ME]) http://arxiv.org/abs/2005.00605

A Primer on Private Statistics. (arXiv:2005.00010v1 [stat.ML]) http://arxiv.org/abs/2005.00010

Bayesian Characterizations of Properties of Stochastic Processes with Applications. (arXiv:2005.00035v1 [math.ST]) http://arxiv.org/abs/2005.00035

Group Decisions based on Confidence Weighted Majority Voting. (arXiv:2005.00039v1 [stat.AP]) http://arxiv.org/abs/2005.00039