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New Machine Learning Methods Paradigms to Address Big Data Streams

Project: Other

Description

Royal Society International Exchange grant, number IE141329/2014, £12K over 2 years

Status	Finished
Effective start/end date	17/03/15 → 16/03/17

Angelov, Plamen (Principal Investigator)

Research outputs

Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK
Research output: Book/Report/Proceedings › Book
Unsupervised classification of data streams based on typicality and eccentricity data analytics
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper
A general purpose intelligent surveillance system for mobile devices using deep learning
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper
A Semi-Supervised Deep Rule-Based Approach for Remote Sensing Scene Classication
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper
Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals
Research output: Contribution to journal › Journal article
Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper