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    United Kingdom

Accepting PhD Students

PhD projects

Open to PhD applications in the fields of: - Machine Learning in Bioinformatics and Precision Medicine - Artificial Intelligence solutions for Online Fake News Detection - Machine Learning for Record Linkage and Heterogeneous Data Analytics

20082019
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Research Output 2008 2019

2019

An unsupervised blocking technique for more efficient record linkage

O'Hare, K., Jurek-Loughrey, A. & de Campos, C., 08 Jul 2019, In : Data & Knowledge Engineering . 122, p. 181-195 15 p.

Research output: Contribution to journalArticle

Tuning
Data mining

Getting statistical about emotion: using machine learning methods to predict the emotional trajectories of literary texts

Watson, L., Devereux, B. & Jurek-Loughrey, A., 21 May 2019, (Accepted). 1 p.

Research output: Contribution to conferenceAbstract

Learning systems
Trajectories
Industry
Statistical methods
Semantics
51 Downloads (Pure)
Open Access
File
cancer
neoplasms
tumor
Neoplasms
trajectory
social media
communications
justice
Criminality
offense

Sentiment and Emotion based Text Representation for Fake Reviews Detection

Melleng, A., Jurek-Loughrey, A. & Padmanabhan, D., 01 Sep 2019, RANLP 2019 RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING. p. 75-757 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Internet
Industry
Experiments

The role of dry EEG in a memory clinic setting: a delayed recognition task

Toogood, A., Fitzpatrick, P., McCartney, B., Murphy, B., Jurek-Loughrey, A., Devereux, B. & McGuinness, B., 14 Jul 2019.

Research output: Contribution to conferenceAbstract

2018
2 Citations (Scopus)
58 Downloads (Pure)

A New Technique of Selecting an Optimal Blocking Method for Better Record Linkage

O'Hare, K., Jurek, A. & de Campos, C., Sep 2018, In : Information Systems. 77, p. 151-166 16 p.

Research output: Contribution to journalArticle

Open Access
File

A Review of Unsupervised and Semi-supervised Blocking Methods for Record Linkage

O'Hare, K., Jurek-Loughrey, A. & de Campos, C., Nov 2018, Linking and Mining Heterogeneous and Multi-view Data. Springer, p. 79-105

Research output: Chapter in Book/Report/Conference proceedingChapter

Computational complexity
Costs
44 Downloads (Pure)

It pays to be Certain: Unsupervised Record Linkage via Ambiguity Minimization

Jurek, A. & Padmanabhan, D., 17 Jun 2018, Advances in Knowledge Discovery and Data Mining. Springer, ( Lecture Notes in Computer Science ).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Labels

Linking and Mining Heterogeneous and Multi-view Data

Padmanabhan, D. & Jurek-Loughrey, A., 28 Dec 2018, Springer. (Unsupervised and Semi-supervised Learning)

Research output: Book/ReportBook

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
29 Downloads (Pure)

Predicting Information Diffusion in Online Social Platforms: A Twitter Case Study

Lytvyniuk, K., Sharma, R. & Jurek-Loughrey, A., 02 Dec 2018, Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. Springer, p. 405-417 13 p. (Studies in Computational Intelligence; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Learning algorithms
Learning systems
Marketing
Testing

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
2017
9 Citations (Scopus)
116 Downloads (Pure)

A Novel Ensemble Learning Approach to Unsupervised Record Linkage

Jurek, A., Hong, J., Chi, Y. & Liu, W., 28 Jun 2017, In : Information Systems.

Research output: Contribution to journalArticle

Open Access
File
Learning systems
Labeling
Supervised learning
Learning algorithms
Seed
3 Citations (Scopus)
104 Downloads (Pure)

Privacy Preserving Record Linkage in the Presence of Missing Values

Chi, Y., hong, J., Jurek, A. & Liu, W., 05 Jul 2017, In : Information Systems.

Research output: Contribution to journalArticle

Open Access
File
1246 Downloads (Pure)

Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages

Gough, A., Hunter, R., Ajao, O., Jurek, A., McKeown, G., Hong, J., Barrett, E., Ferguson, M., McElwee, G., McCarthy, M. & Kee, F., 23 Mar 2017, In : JMIR Public Health and Surveillance. 3, 1, e14.

Research output: Contribution to journalArticle

Open Access
File
Social Media
Skin Neoplasms
Public Health
Northern Ireland
Shock
2015
446 Downloads (Pure)

Improved lexicon-based sentiment analysis for social media analytics

Jurek, A., Mulvenna, M. D. & Bi, Y., 09 Dec 2015, In : Security Informatics. 4, 9, 13 p.

Research output: Contribution to journalArticle

Open Access
File
Law enforcement
Labels
Demonstrations
2014
22 Citations (Scopus)
259 Downloads (Pure)

Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes

Jurek, A., Nugent, C., Bi, Y. & Wu, S., 10 Jul 2014, In : IEEE Sensors Journal. 14, 7, p. 12285-12304 20 p.

Research output: Contribution to journalArticle

Open Access
File
learning
Sensors
Classifiers
Monitoring
binary data
9 Citations (Scopus)

Clustering-Based Ensemble Method as an Alternative to Stacking

Jurek, A., Bi, Y., Wu, S. & Nugent, C. D., Sep 2014, In : IEEE Transactions on Knowledge and Data Engineering. 26, 9, p. 2120-2137 18 p.

Research output: Contribution to journalArticle

Classifiers
Adaptive boosting
Supervised learning
Cluster analysis
Labels

Sentiment Classification by Combining Triplet Belief Functions

Bi, Y., Mulvenna, M. & Jurek, A., 16 Oct 2014.

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Twitter Sentiment Analysis for Security-Related Information Gathering

Jurek, A., Mulvenna, M. D. & Bi, Y., 2014, Proceedings: 2014 IEEE Joint Intelligence and Security Informatics Conference (JISIC 2014). Institute of Electrical and Electronics Engineers (IEEE), p. 48-55 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Law enforcement
Labels
Demonstrations
2013
3 Citations (Scopus)

Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes

Jurek, A., Bi, Y., Wu, S. & Nugent, C., 2013, p. 88-95.

Research output: Contribution to conferencePaper

24 Citations (Scopus)

A survey of commonly used ensemble-based classification techniques

Jurek, A., Bi, Y., Wu, S. & Nugent, C., 2013, In : Knowledge Engineering Review. 29, 5, p. 551–581

Research output: Contribution to journalArticle

2012

A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbour Ensemble

Jurek, A., Bi, Y., Wu, S. & Nugent, C., 2012, p. 1100-1105.

Research output: Contribution to conferencePaper

2011
9 Citations (Scopus)

Classification by Cluster Analysis: A New Meta-Learning Based Approach

Jurek, A., Bi, Y., Wu, S. & Nugent, C., 2011, p. 259-268.

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Classification by Clusters Analysis - An Ensemble Technique in a Semi-Supervised Classification

Jurek, A., Bi, Y., Wu, S. & Nugent, C., 2011, p. 876-878.

Research output: Contribution to conferencePaper

2010

A Meta Learning Approach: Classification by Cluster Analysis

Jurek, A., Bi, Y., Wu, S. & Nugent, C., 2010, p. 267-268.

Research output: Contribution to conferencePaper

2008
2 Citations (Scopus)

Improving Naive Bayes Models of Insurance Risk by Unsupervised Classification

Jurek, A. & Zakrzewska, D., 2008, p. 137-144.

Research output: Contribution to conferencePaper