arXiv Computer Science @arxiv_cs@qoto.org

Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network. (arXiv:1911.04472v1 [eess.SP]) http://arxiv.org/abs/1911.04472

On the Capacity of Channels with Deletions and States. (arXiv:1911.04473v1 [cs.IT]) http://arxiv.org/abs/1911.04473

TENER: Adapting Transformer Encoder for Name Entity Recognition. (arXiv:1911.04474v1 [cs.CL]) http://arxiv.org/abs/1911.04474

A Computing Kernel for Network Binarization on PyTorch. (arXiv:1911.04477v1 [cs.LG]) http://arxiv.org/abs/1911.04477

Gextext: Unsupervised Knowledge Modelling in Biomedical Literature. (arXiv:1911.02562v1 [cs.DL]) http://arxiv.org/abs/1911.02562

Formality in Software Requirements. (arXiv:1911.02564v1 [cs.SE]) http://arxiv.org/abs/1911.02564

Optimizing Millions of Hyperparameters by Implicit Differentiation. (arXiv:1911.02590v1 [cs.LG]) http://arxiv.org/abs/1911.02590

Sparse approximation of individual functions. (arXiv:1911.02593v1 [math.NA]) http://arxiv.org/abs/1911.02593

Energy and Social Cost Minimization for Data Dissemination in Wireless Networks: Centralized and Decentralized Approaches. (arXiv:1911.02607v1 [cs.NI]) http://arxiv.org/abs/1911.02607

A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons. (arXiv:1911.02609v1 [cs.NE]) http://arxiv.org/abs/1911.02609

Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. (arXiv:1911.02613v1 [cs.LG]) http://arxiv.org/abs/1911.02613

Coverage-based Outlier Explanation. (arXiv:1911.02617v1 [cs.AI]) http://arxiv.org/abs/1911.02617

Argoverse: 3D Tracking and Forecasting with Rich Maps. (arXiv:1911.02620v1 [cs.CV]) http://arxiv.org/abs/1911.02620

The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey. (arXiv:1911.02621v1 [cs.CR]) http://arxiv.org/abs/1911.02621

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. (arXiv:1911.02007v1 [eess.IV]) http://arxiv.org/abs/1911.02007

Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. (arXiv:1911.02008v1 [math.NT]) http://arxiv.org/abs/1911.02008

A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. (arXiv:1911.02010v1 [math.ST]) http://arxiv.org/abs/1911.02010

A Survey of Blockchain Applications in Different Domains. (arXiv:1911.02013v1 [cs.CR]) http://arxiv.org/abs/1911.02013

Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. (arXiv:1911.02014v1 [eess.IV]) http://arxiv.org/abs/1911.02014

Efficiently Learning Structured Distributions from Untrusted Batches. (arXiv:1911.02035v1 [cs.DS]) http://arxiv.org/abs/1911.02035