Disability prediction in multiple sclerosis using performance outcome measures and demographic data. | 0 | 0.34 | 2022 |
Correcting the hub occurrence prediction bias in many dimensions. | 0 | 0.34 | 2016 |
Hubness-aware kNN classification of high-dimensional data in presence of label noise | 7 | 0.51 | 2015 |
Taming the Empirical Hubness Risk in Many Dimensions. | 1 | 0.35 | 2015 |
Hubness-aware shared neighbor distances for high-dimensional $$k$$ -nearest neighbor classification. | 0 | 0.34 | 2014 |
A Case for Hubness Removal in High-Dimensional Multimedia Retrieval. | 8 | 0.46 | 2014 |
The Role Of Hubness In High-Dimensional Data Analysis | 0 | 0.34 | 2014 |
Class imbalance and the curse of minority hubs | 12 | 0.53 | 2013 |
Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification. | 6 | 0.39 | 2013 |
Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection | 3 | 0.35 | 2013 |
The Role of Hubs in Cross-Lingual Supervised Document Retrieval. | 6 | 0.42 | 2013 |
Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition. | 1 | 0.34 | 2013 |
Hubness-aware shared neighbor distances for high-dimensional k-nearest neighbor classification | 9 | 0.45 | 2012 |
Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences | 21 | 0.70 | 2012 |
A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN | 20 | 0.81 | 2011 |
Social Network Analysis of Ontology Edit Logs | 1 | 0.36 | 2010 |
Semantic Web Wiki: Social Network Analysis Of Page Editing | 3 | 0.56 | 2009 |