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    United Kingdom

Accepting PhD Students

PhD projects

Fairness in Machine Learning; Responsible AI; Ethical AI for the Government and Public Sector

20042019
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Research Output 2004 2019

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Chapter (peer-reviewed)
2018

Leveraging Heterogeneous Data for Fake News Detection

K, A., Gangan, M., Padmanabhan, D. & VL, L., Nov 2018, Linking and Mining Heterogeneous and Multi-view Data. Springer, p. 229-264

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Open Access
Curbs
Fabrication

Multi-View Clustering

Padmanabhan, D. & Jurek-Loughrey, A., Nov 2018, Linking and Mining Heterogeneous and Multi-view Data. P, D. & Jurek-Loughrey, A. (eds.). Springer, p. 27-53

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Open Access
Unsupervised learning
Electric fuses
Learning systems

Semi-supervised and Unsupervised Approaches to Record Pairs Classification in Multi-Source Data Linkage

Jurek-Loughrey, A. & Padmanabhan, D., Nov 2018, Linking and Mining Heterogeneous and Multi-view Data. Springer, p. 55-78

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Open Access
Data integration
Terrorism
National security
Insurance
Law enforcement
2016

Anomaly Detection for Data with Spatial Attributes

Padmanabhan, D., 03 Feb 2016, (Accepted) Unsupervised Learning Algorithms. Celebri, M. E. & Aydin, K. (eds.). Springer International Publishing Switzerland

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Statistics
Data mining
Weather forecasting
Statistical tests
Image segmentation