It predicts CNV events from Hi-C data by linear model and graph neural network for modeling the complex interactions and ...

This approach adopts hierarchical global-to-local modeling to mitigate the significant KV cache IO bottleneck in batch inference. The Block Transformer separates the costly global modeling into the ...

The Hierarchical Data Modeling Framework, or HDMF, is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6287639 ...

This course provides an introduction to principles, terminology, and strategies for statistical modelling with the linear model as initial framework for data analysis. The linear model is a modelling ...

Abstract: In this paper, a novel deep learning-based no-reference video quality assessment (NR-VQA) model for screen content videos (SCVs) is proposed, called the hierarchical spatiotemporal ...

Researchers developed a new method using 3D body shapes to predict body composition, offering a more accessible alternative ...

Model Explorer offers an intuitive and hierarchical visualization of model graphs. It organizes model operations into nested layers, enabling users to dynamically expand or collapse these layers. It ...

Environmental Sciences, Chinese Academy of Sciences, in the Science Bulletin, 2024, published a research paper entitled ...