• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 900 Citations
  • 15 h-Index
19982019
If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Yaxin Bi is a Reader in School of Computing and Mathematics, a core member of the Computer Science Research Institute at Ulster University. His main research interests include multiple supervised and unsupervised machine learning-based classification systems and ensemble methods in conjunction with the Dempter-Shafer (DS) theory of evidence and Rough Set theory. Yaxin has developed a range of big data analytics and decision making with uncertainty methods to address real world problems, including satellite data exploitation with an emphasis on anomaly/change detection for hazardous analysis and risk resilience; sentiment analysis for opinion mining and cyberbullying detection; and sensor fusion for activity/event recognition in smart environments.Yaxin has been involved in a number of European Frameworks and Space Agency funded projects along with industry cooperation in the past decades and has more than 130 peer-reviewed publications in international journals and conferences. He has served for a number of international conferences as general chair, program co-chair and program committee member. Furthermore Yaxin is an associate editor for International Journal of Artificial Intelligence Review as well as a steering committee member for the series of International Conference on Knowledge Science, Engineering and management (KSEM) and Science and Information (SAI) Conference.

Fingerprint Dive into the research topics where Yaxin Bi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 37 Similar Profiles
Classifiers Engineering & Materials Science
Data fusion Engineering & Materials Science
anomaly Earth & Environmental Sciences
earthquake Earth & Environmental Sciences
Rough set theory Engineering & Materials Science
Intelligent systems Engineering & Materials Science
Information retrieval Engineering & Materials Science
Intrusion detection Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

  • 900 Citations
  • 15 h-Index
  • 60 Conference contribution
  • 44 Article
  • 33 Chapter
  • 5 Anthology

Aggregated Topic Models for Increasing Social Media Topic Coherence

Blair, S., Bi, Y. & Mulvenna, M., 4 Feb 2019, (Accepted/In press) In : Applied Intelligence. 30 p.

Research output: Contribution to journalArticle

Factorization

A tool for Swarm satellite data analysis and anomaly detection

Christodoulou, V., Bi, Y. & Wilkie, FG., 25 Mar 2019, (Accepted/In press) In : PLoS ONE. p. 1 17 p.

Research output: Contribution to journalArticle

Open Access
File
swarms
remote sensing
satellite data
data analysis
Satellites
Open Access
File
Data mining
Learning systems
Supervised learning
Labeling
Artificial intelligence
Open Access
File
anomaly
detection
seismicity
magnetic field
method
5 Citations (Scopus)

A Two-stage Flow-based Intrusion Detection Model ForNext-generation Networks

User, U. M. F., Sher, M. & Bi, Y., 12 Jan 2018, In : PLoS ONE. 13, 1, p. 1-20

Research output: Contribution to journalArticle

Open Access
File
Next generation networks
Intrusion detection
traffic
Self organizing maps
Support vector machines