Results 81 to 90 of about 3,030,305 (350)

Graph NLU enabled question answering system

Heliyon, 2021
With a huge amount of information being stored as structured data, there is an increasing need for retrieving exact answers to questions from tables. Answering natural language questions on structured data usually involves semantic parsing of query to a ...
Sandeep Varma, Shivam Shivam, Snigdha Biswas, Pritam Saha, Khushi Jalan   +4 more
doaj  

GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data

ISPRS International Journal of Geo-Information, 2019
The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena.
Stefan Lang, Geoffrey J. Hay, Andrea Baraldi, Dirk Tiede, Thomas Blaschke   +4 more
doaj   +1 more source

Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning

IEEE Open Journal of Engineering in Medicine and Biology, 2020
Goal: To present a framework for data sharing, curation, harmonization and federated data analytics to solve open issues in healthcare, such as, the development of robust disease prediction models.
Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis Kalatzis, Themis P. Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis   +11 more
doaj   +1 more source

A Glycoproteome Data Mining Strategy for Characterizing Structural Features of Altered Glycans with Thymic Involution

Advanced Science, EarlyView.
This study presents a comprehensive data mining strategy for in‐depth extraction of overall and altered glycan features from structural and site‐specific glycoproteome data across various biomedical samples. The strategy enables the uncovery of four major altered glycan features associated with thymic involution and reveals their coordinated ...
Zhida Zhang, Yongqi Wu, Ke Hou, Yiwen Zhang, Lin Chen, Muyao Yang, Zhehui Jin, Yongchao Xu, Yingjie Zhang, Yinli Cai, Jiayu Zhao, Shisheng Sun   +11 more
wiley   +1 more source

Project Testbed: Argument Mapping and Deliberation Analytics [PDF]

, 2015
One key goal of the Catalyst project was to design metrics that could capture and represent aspects of the conversation’s structural quality, to assist harvesters and moderators. Many such metrics, alerts and visualizations were developed in
De Liddo, Anna, Klein, Marc, Parent, Marc-Antoine, Ullmann, Thomas   +3 more
core  

An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer

Advanced Science, EarlyView.
This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang, Changyuan Guo, Jiayi Li, Yalun Li, Lei Zhong, Pengming Pu, Tongxuan Shang, Lin Cong, Yongxin Zhou, Guangdong Qiao, Ziqi Jia, Hengyi Xu, Heng Cao, Yansong Huang, Tianyi Liu, Jian Liang, Jiang Wu, Dongxu Ma, Yuchen Liu, Ruijie Zhou, Xiang Wang, Jianming Ying, Meng Zhou, Jiaqi Liu   +23 more
wiley   +1 more source

Application of Video Scene Semantic Recognition Technology in Smart Video

Tehnički Vjesnik, 2018
Video behaviour recognition and semantic recognition understanding are important components of intelligent video analytics. Traditionally, human behaviour recognition has met problems of low recognition efficiencies and poor accuracies. For example, most
Lele Qin, Lihua Kang
doaj   +1 more source

Big Data Analytics for Search Engine Optimization

Big Data and Cognitive Computing, 2020
In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and ...
Ioannis C. Drivas, Damianos P. Sakas, Georgios A. Giannakopoulos, Daphne Kyriaki-Manessi   +3 more
doaj   +1 more source

Exploratory topic modeling with distributional semantics

, 2015
As we continue to collect and store textual data in a multitude of domains, we are regularly confronted with material whose largely unknown thematic structure we want to uncover.
A Treisman, DA Keim, DM Blei, J Risch, L Barth, M Bostock, S Fortunato, S Lohmann, S Palmer, Y Bengio   +9 more
core   +1 more source

Deciphering Cell Type Abundance in Proteomics Data Through Graph Neural Networks

Advanced Science, EarlyView.
GraphDEC constructs pseudo bulk reference data using a mixup strategy, then learns low dimensional representations via autoencoders to model intra and inter dataset relationships. These are processed through a multi view adaptive neighborhood aware GNN, integrating reference, target, and joint graphs.
Zhiming Dai, Yujie Song, Tuoshi Qi, Hongyu Zhang, Huiying Zhao, Zheng Wang, Yuedong Yang, Yuansong Zeng   +7 more
wiley   +1 more source