According to our database1, Anna Jurek authored at least 18 papers between 2008 and 2018.
Legend:Book In proceedings Article PhD thesis Other
A new technique of selecting an optimal blocking method for better record linkage.
Inf. Syst., 2018
It Pays to Be Certain: Unsupervised Record Linkage via Ambiguity Minimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
A novel ensemble learning approach to unsupervised record linkage.
Inf. Syst., 2017
Privacy preserving record linkage in the presence of missing values.
Inf. Syst., 2017
Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages.
Feasibility Study of Social Media for Public Health Behaviour Changes.
Improved lexicon-based sentiment analysis for social media analytics.
Security Informatics, 2015
Clustering-Based Ensembles as an Alternative to Stacking.
IEEE Trans. Knowl. Data Eng., 2014
Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes.
A survey of commonly used ensemble-based classification techniques.
Knowledge Eng. Review, 2014
Sentiment Classification by Combining Triplet Belief Functions.
Proceedings of the Knowledge Science, Engineering and Management, 2014
Twitter Sentiment Analysis for Security-Related Information Gathering.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014
Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes.
Proceedings of the Ambient Assisted Living and Active Aging, 2013
A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbor Ensemble.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Classification by Cluster Analysis: A New Meta-Learning Based Approach.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011
Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
A Meta Learning Approach: Classification by Cluster Analysis.
Proceedings of the Artificial Intelligence: Methodology, 2010
Improving Naïve Bayes models of insurance risk by unsupervised classification.
Proceedings of the International Multiconference on Computer Science and Information Technology, 2008