Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis Xiangjie Li, Kui Wang, Yafei Lyu, Huize Pan, Jingxiao Zhang, Dwight Stambolian, Katalin Susztak, Muredach P. Reilly, Gang Hu & Mingyao Li Nature Communications volume 11, Article...
Pesciullesi, G., Schwaller, P., Laino, T. & Reymond, J. L. Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates.Nat. Commun.11, 4874 (2020). ArticleCASPubMedPubMed CentralADSGoogle Scholar Kreutter, D., Schwaller, P. & Reymon...
Inspired by the principle of zoom lenses, deep learning enables the DLBP camera to calculate the mapping for short-focus to long-focus imaging. As shown in Fig. 1d, the DLBP camera cuts the scene into multiple sub FOVs, and each one of them covers a part of the scene information. Stitc...
one of the obstacles to transfer learning is the problem of downstream tasks whose formats and features differ from those of upstream data. this happens often with medical diagnosis data. to solve this challenge, the authors propose a pseudo-feature method which enables transfer learning when upstre...
链接:Model Pruning Enables Efficient Federated Learning on Edge Devices 主题:联邦学习、剪枝 联邦学习的知识背景这里就不详细阐述了,简单说一下横向联邦学习流程:server将model分发到各个client节点上,在各个client节点上训练子数据,每个client节点上传自己的model到server,最后server聚合client所上传的model以更新目标模型...
These data were further utilized in a mass level classification technique that enables CNN in the classification of mass with each view. Qi et al. [16] developed an automatic breast cancer diagnostics system to increase the accuracy of diagnosis. The scheme, which can be installed on smart...
This approach enables the privacy preservation of users’ data as it is implemented on an edge computing architecture. YOLOv2: It is a single-stage real-time object detection model that has improved the performance of YOLOv1 in different aspects, e.g., using (i) anchor boxes to predict ...
UsingMATLABwithDeep Learning Toolbox™enables you to design, analyze, and simulate deep learning networks. You can extend deep learning workflows to many applications (such as computer vision, signal processing, and natural language processing) by using additional toolboxes (such asComputer Vision To...
To implement this approach, we propose a two-level affiliation regularizer that both comprehensively reveals the local instance-level and global cluster-level affiliations and enables an off-the-shelf dictionary reconstruction error method to establish a knowledge transfer pipeline between the labeled and...
For this purpose we draw on the dual meaning of the notion of landscape as deployed by MLP that enables us to distinguish between two mechanisms of system-landscape interaction. Following Geels and Schot (2007), who introduced the typology of landscape change, later MLP studies have often ...