仕訳帳情報
IEEE Transactions on Big Data (TBD)
http://www.computer.org/web/tbd
出版社:
IEEE
ISSN:
2332-7790
閲覧:
3098
追跡:
14

広告
論文募集
The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.
最終更新 Xin Yao 2016-07-03
Special Issues
Special Issue on Biomedical Big Data: Understanding, Learning and Applications
提出日: 2017-03-01

Biomedical imaging is an essential component in various fields of biomedical research and clinical practice. Biologists quantitatively study cell behavior and generate high-throughput microscopy data sets. Neuroscientists detect regional metabolic brain activity from positron emission tomography (PET), functional magnetic resonance imaging (MRI), and magnetic resonance spectrum imaging (MRSI) scans. Virologists generate 3D reconstructions of viruses from micrographs, and radiologists identify and quantify tumors from MRI and computed tomography (CT) scans. Advanced imaging equipment and diverse applications have driven the generation of biomedical big data. The main challenge and bottleneck for the related research is the conversion of "biomedical big data" int- interpretable information and hence discoveries. Computer vision theory has a huge potential in many aspects for automated understanding of biomedical data and has been used successfully t- speed up and improve applications such as large-scale cell image analysis (image preconditioning, cell segmentation and detection, cell tracking, and cell behavior identification), image reconstruction and registration, organ segmentation and disease classification. Moreover, when it comes t- the new era of machine learning, deep learning has revolutionized multiple fields of computer vision, significantly pushing the state of arts of computer vision systems in a broad array of high-level tasks. This special issue serves as a forum t- bring together active researchers all over the world t- share their recent advances in this exciting area. We solicit original contributions in three-fold: (1) present state-of-the-art theories and novel application scenarios related t- biomedical big data analytics; (2) survey the recent progress in this area; and (3) build benchmark datasets. The topics of interest for this special issue include, but are not limited to: 1.Biomedical Big Data Representation - Robust feature extraction - Data-driven feature learning - Large-scale biomedical data acquisition - Novel datasets and benchmark for specific biological applications (e.g. cell image analysis, image segmentation, shape analysis) 2.Biomedical Big Data Understanding - Image restoration - Image segmentation - Image Registration - Object detection & tracking - Event Detection - Biomedical big data organization, retrieval and indexing - Health, economics and other applications over biomedical big data 3.Biomedical Big Data Learning - Time-series modeling - Transfer learning - Multi-task learning - Sparse Coding - Weakly supervised learning
最終更新 Dou Sun 2016-09-25
広告
関連仕訳帳
CCF完全な名前インパクト ・ ファクター出版社ISSN
Journal of Internet Technology0.481Taiwan Academic Network1607-9264
Big Data Research ELSEVIER2214-5796
cACM SIGMIS Database ACM0095-0033
Crisis Communications Springer2194-9794
Cognitive Processing1.410Springer1612-4782
Journal of Applied Mathematics0.834Hindawi1110-757X
ACM Transactions on Management Information SystemsACM2158-656X
bBioinformatics5.468Oxford University Press1367-4803
Design Studies1.295ELSEVIER0142-694X
Discrete Mathematics0.557ELSEVIER0012-365X
完全な名前インパクト ・ ファクター出版社
Journal of Internet Technology0.481Taiwan Academic Network
Big Data Research ELSEVIER
ACM SIGMIS Database ACM
Crisis Communications Springer
Cognitive Processing1.410Springer
Journal of Applied Mathematics0.834Hindawi
ACM Transactions on Management Information SystemsACM
Bioinformatics5.468Oxford University Press
Design Studies1.295ELSEVIER
Discrete Mathematics0.557ELSEVIER
関連会議
CCFCOREQUALIS省略名完全な名前提出日通知日会議日
ccNSPWNew Security Paradigms Workshop2016-04-292016-06-172016-09-26
ruSMARTInternational Conference on Smart Spaces2015-05-142015-05-292015-08-26
CIInternational Conference on Computational Intelligence2014-12-122015-01-052015-02-16
bb4ICDCNInternational Conference on Distributed Computing and Networking2016-07-222016-09-162017-01-04
SPDAInternational Conference on Smart Phone, Device and Applications2014-06-102014-06-302014-08-14
DSAAInternational Conference on Data Science and Advanced Analytics2017-05-252017-07-252017-10-19
SarnoffIEEE Sarnoff Symposium2016-05-072016-07-152016-09-19
CNSIEEE Conference on Communications and Network Security2017-04-142017-06-232017-10-09
b1IECONAnnual Conference of the IEEE Industrial Electronics Society2017-04-172017-07-032017-10-29
MSIVISMInternational Conference on Multimedia, Scientific Information and Visualization for Information Systems and Metrics2017-01-09 2017-01-26
おすすめ