Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. (arXiv:2112.03911v1 [eess.IV]) http://arxiv.org/abs/2112.03911
RID-Noise: Towards Robust Inverse Design under Noisy Environments. (arXiv:2112.03912v1 [cs.LG]) http://arxiv.org/abs/2112.03912
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project. (arXiv:2112.03914v1 [cs.LG]) http://arxiv.org/abs/2112.03914
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. (arXiv:2112.03915v1 [eess.IV]) http://arxiv.org/abs/2112.03915
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models. (arXiv:2112.03916v1 [eess.IV]) http://arxiv.org/abs/2112.03916
Scalable 3D Semantic Segmentation for Gun Detection in CT Scans. (arXiv:2112.03917v1 [cs.CV]) http://arxiv.org/abs/2112.03917
Computing spectral properties of topological insulators without artificial truncation or supercell approximation. (arXiv:2112.03942v1 [math.NA]) http://arxiv.org/abs/2112.03942
Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction. (arXiv:2112.03946v1 [q-fin.ST]) http://arxiv.org/abs/2112.03946
Few-Shot Image Classification Along Sparse Graphs. (arXiv:2112.03951v1 [cs.CV]) http://arxiv.org/abs/2112.03951
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks. (arXiv:2112.03968v1 [cs.LG]) http://arxiv.org/abs/2112.03968
Modeling Demand Flexibility of RES-based Virtual Power Plants. (arXiv:2112.03261v1 [math.OC]) http://arxiv.org/abs/2112.03261
Multi-scale Graph Convolutional Networks with Self-Attention. (arXiv:2112.03262v1 [cs.LG]) http://arxiv.org/abs/2112.03262
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems. (arXiv:2112.03265v1 [cs.LG]) http://arxiv.org/abs/2112.03265
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration. (arXiv:2112.03266v1 [q-bio.GN]) http://arxiv.org/abs/2112.03266
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. (arXiv:2112.03267v1 [cs.LG]) http://arxiv.org/abs/2112.03267
Synthetic ECG Signal Generation Using Generative Neural Networks. (arXiv:2112.03268v1 [cs.LG]) http://arxiv.org/abs/2112.03268
DIY Graphics Tab: A Cost-Effective Alternative to Graphics Tablet for Educators. (arXiv:2112.03269v1 [cs.HC]) http://arxiv.org/abs/2112.03269
Toward a Taxonomy of Trust for Probabilistic Machine Learning. (arXiv:2112.03270v1 [cs.LG]) http://arxiv.org/abs/2112.03270
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. (arXiv:2112.03271v1 [cs.CL]) http://arxiv.org/abs/2112.03271
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling. (arXiv:2112.03273v1 [cs.LG]) http://arxiv.org/abs/2112.03273
I toot the arXiv feed for topics in Computer Science.
#ComputerScience #CS #Programming #SoftwareEngineering #Software #SoftwareDevelopment #Computers #Science #arXiv #News #PeerReview