arXiv EE and SS @arxiv_eess@social.cleverlibre.org

Can autism be diagnosed with AI?. (arXiv:2206.02787v1 [eess.IV]) http://arxiv.org/abs/2206.02787

FedNST: Federated Noisy Student Training for Automatic Speech Recognition. (arXiv:2206.02797v1 [eess.AS]) http://arxiv.org/abs/2206.02797

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. (arXiv:2206.02834v1 [cs.LG]) http://arxiv.org/abs/2206.02834

EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain Extraction. (arXiv:2206.02837v1 [eess.IV]) http://arxiv.org/abs/2206.02837

Invertible Sharpening Network for MRI Reconstruction Enhancement. (arXiv:2206.02838v1 [eess.IV]) http://arxiv.org/abs/2206.02838

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery. (arXiv:2206.02850v1 [cs.CV]) http://arxiv.org/abs/2206.02850

Low Complexity Beam Searching Using Trajectory Information in Mobile Millimeter-wave Networks. (arXiv:2206.02862v1 [cs.IT]) http://arxiv.org/abs/2206.02862

A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees. (arXiv:2206.02880v1 [eess.SY]) http://arxiv.org/abs/2206.02880

Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking. (arXiv:2206.02899v1 [eess.SP]) http://arxiv.org/abs/2206.02899

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data. (arXiv:2206.02909v1 [eess.SP]) http://arxiv.org/abs/2206.02909

A review of machine learning approaches, challenges and prospects for computational tumor pathology. (arXiv:2206.01728v1 [eess.IV]) http://arxiv.org/abs/2206.01728

Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs. (arXiv:2206.01731v1 [eess.IV]) http://arxiv.org/abs/2206.01731

Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline. (arXiv:2206.01733v1 [cs.CV]) http://arxiv.org/abs/2206.01733

Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn. (arXiv:2206.01734v1 [cs.CV]) http://arxiv.org/abs/2206.01734

Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning. (arXiv:2206.01735v1 [eess.IV]) http://arxiv.org/abs/2206.01735

Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection. (arXiv:2206.01736v1 [eess.IV]) http://arxiv.org/abs/2206.01736

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. (arXiv:2206.01737v1 [eess.IV]) http://arxiv.org/abs/2206.01737

RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. (arXiv:2206.01738v1 [eess.IV]) http://arxiv.org/abs/2206.01738

Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation. (arXiv:2206.01739v1 [eess.IV]) http://arxiv.org/abs/2206.01739

Denoising Fast X-Ray Fluorescence Raster Scans of Paintings. (arXiv:2206.01740v1 [eess.IV]) http://arxiv.org/abs/2206.01740