arXiv Computer Science @arxiv_cs@qoto.org

Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. (arXiv:2204.02399v1 [cs.LG]) http://arxiv.org/abs/2204.02399

What can predictive speech coders learn from speaker recognizers?. (arXiv:2204.02400v1 [cs.SD]) http://arxiv.org/abs/2204.02400

Comment on "Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care". (arXiv:2204.02402v1 [cs.LG]) http://arxiv.org/abs/2204.02402

Explainable Deep Learning Algorithm for Distinguishing Incomplete Kawasaki Disease by Coronary Artery Lesions on Echocardiographic Imaging. (arXiv:2204.02403v1 [eess.IV]) http://arxiv.org/abs/2204.02403

Hospital-Agnostic Image Representation Learning in Digital Pathology. (arXiv:2204.02404v1 [eess.IV]) http://arxiv.org/abs/2204.02404

Zero-shot Blind Image Denoising via Implicit Neural Representations. (arXiv:2204.02405v1 [eess.IV]) http://arxiv.org/abs/2204.02405

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography. (arXiv:2204.02406v1 [eess.IV]) http://arxiv.org/abs/2204.02406

Texturify: Generating Textures on 3D Shape Surfaces. (arXiv:2204.02411v1 [cs.CV]) http://arxiv.org/abs/2204.02411

Non-Binary Polar Codes for Spread-Spectrum Modulations. (arXiv:2204.02415v1 [cs.IT]) http://arxiv.org/abs/2204.02415

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. (arXiv:2204.02426v1 [cs.LG]) http://arxiv.org/abs/2204.02426

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. (arXiv:2204.01701v1 [cs.LG]) http://arxiv.org/abs/2204.01701

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. (arXiv:2204.01702v1 [eess.IV]) http://arxiv.org/abs/2204.01702

Learning to Accelerate by the Methods of Step-size Planning. (arXiv:2204.01705v1 [cs.LG]) http://arxiv.org/abs/2204.01705

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. (arXiv:2204.01706v1 [eess.IV]) http://arxiv.org/abs/2204.01706

Heterogeneous Autoencoder Empowered by Quadratic Neurons. (arXiv:2204.01707v1 [cs.NE]) http://arxiv.org/abs/2204.01707

MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation. (arXiv:2204.01708v1 [eess.IV]) http://arxiv.org/abs/2204.01708

Forestry digital twin with machine learning in Landsat 7 data. (arXiv:2204.01709v1 [cs.LG]) http://arxiv.org/abs/2204.01709

Convolutional Neural Networks for Image Spam Detection. (arXiv:2204.01710v1 [cs.CV]) http://arxiv.org/abs/2204.01710

Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder. (arXiv:2204.01711v1 [eess.IV]) http://arxiv.org/abs/2204.01711

Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation. (arXiv:2204.01712v1 [eess.IV]) http://arxiv.org/abs/2204.01712