arXiv EE and SS @arxiv_eess@qoto.org

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. (arXiv:1911.01486v1 [cs.LG]) http://arxiv.org/abs/1911.01486

Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. (arXiv:1911.01499v1 [eess.SY]) http://arxiv.org/abs/1911.01499

Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model. (arXiv:1911.01500v1 [eess.SY]) http://arxiv.org/abs/1911.01500

Deployment Architectures for Cyber-Physical Control Systems. (arXiv:1911.01510v1 [eess.SY]) http://arxiv.org/abs/1911.01510

Counterexample-Guided Synthesis of Perception Models and Control. (arXiv:1911.01523v1 [eess.SY]) http://arxiv.org/abs/1911.01523

Efficiency Improvement of Commercially Available MPPT Controllers Using Boost Converter. (arXiv:1911.01524v1 [eess.SY]) http://arxiv.org/abs/1911.01524

Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors. (arXiv:1911.01531v1 [eess.SP]) http://arxiv.org/abs/1911.01531

Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks. (arXiv:1911.00500v1 [cs.NI]) http://arxiv.org/abs/1911.00500

Polarization Discrimination Imaging of objects hidden in turbid media: Detection of weak sinusoids through Stochastic Resonance. (arXiv:1911.00501v1 [eess.IV]) http://arxiv.org/abs/1911.00501

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. (arXiv:1911.00515v1 [physics.med-ph]) http://arxiv.org/abs/1911.00515

MaxSAT Evaluation 2019 -- Benchmark: Identifying Security-Critical Cyber-Physical Components in Weighted AND/OR Graphs. (arXiv:1911.00516v1 [cs.CR]) http://arxiv.org/abs/1911.00516

Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. (arXiv:1911.00527v1 [eess.AS]) http://arxiv.org/abs/1911.00527

Decoding of visual-related information from the human EEG using an end-to-end deep learning approach. (arXiv:1911.00550v1 [eess.SP]) http://arxiv.org/abs/1911.00550

Predicting word error rate for reverberant speech. (arXiv:1911.00566v1 [eess.AS]) http://arxiv.org/abs/1911.00566

Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. (arXiv:1911.00605v1 [cs.LG]) http://arxiv.org/abs/1911.00605

Multi-Agent Safety Verification using Symmetry Transformations. (arXiv:1911.00608v1 [cs.FL]) http://arxiv.org/abs/1911.00608

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. (arXiv:1911.00625v1 [q-bio.QM]) http://arxiv.org/abs/1911.00625

Embedding information in physically generated random bit sequences while maintaining certified randomness. (arXiv:1911.00001v1 [eess.SP]) http://arxiv.org/abs/1911.00001

Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. (arXiv:1911.00030v1 [cs.LG]) http://arxiv.org/abs/1911.00030

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. (arXiv:1911.00036v1 [eess.IV]) http://arxiv.org/abs/1911.00036