| Haram: a hierarchical aram neural network for large-scale text classification F Benites, E Sapozhnikova 2015 IEEE international conference on data mining workshop (ICDMW), 847-854, 2015 | 82 | 2015 |
| Multi-label classification and extracting predicted class hierarchies F Brucker, F Benites, E Sapozhnikova Pattern Recognition 44 (3), 724-738, 2011 | 50 | 2011 |
| ART-based neural networks for multi-label classification EP Sapozhnikova International Symposium on Intelligent Data Analysis, 167-177, 2009 | 27 | 2009 |
| ART-based Fuzzy Classifiers: ART Fuzzy Networks for Automatic Classification E Sapojnikova Cuvillier Verlag, 2004 | 26 | 2004 |
| Evaluation of hierarchical interestingness measures for mining pairwise generalized association rules F Benites, E Sapozhnikova IEEE Transactions on Knowledge and Data Engineering 26 (12), 3012-3025, 2014 | 21 | 2014 |
| An Empirical Comparison of Flat and Hierarchical Performance Measures for Hierarchical Multi-Label Classification with Hierarchy Extraction F Brucker, F Benites, E Sapozhnikova Proceedings of Conference on Knowledge-Based and Intelligent Information and …, 2011 | 20* | 2011 |
| Mining rare associations between biological ontologies F Benites, S Simon, E Sapozhnikova PloS one 9 (1), e84475, 2014 | 19 | 2014 |
| EChem++–An object-oriented problem solving environment for electrochemistry. 3. Classification of voltammetric signals by the Fuzzy ARTMAP neural network with respect to … EP Sapozhnikova, M Bogdan, B Speiser, W Rosenstiel Journal of Electroanalytical Chemistry 588 (1), 15-26, 2006 | 19 | 2006 |
| Improving scalability of ART neural networks F Benites, E Sapozhnikova Neurocomputing 230, 219-229, 2017 | 18 | 2017 |
| Error classification and yield prediction of chips in semiconductor industry applications L Ludwig, E Sapozhnikova, V Lunin, W Rosenstiel Neural Computing & Applications 9, 202-210, 2000 | 16 | 2000 |
| Multi-label Classi cation with ART Neural Networks EP Sapozhnikova Proceedings of Second International Workshop on Knowledge Discovery and Data …, 2009 | 15 | 2009 |
| Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides F Benites, E Sapozhnikova Pattern Recognition Letters 65, 197-203, 2015 | 10 | 2015 |
| Learning different concept hierarchies and the relations between them from classified data F Benites, E Sapozhnikova Intelligent Data Analysis for Real-Life Applications: Theory and Practice, 18-34, 2012 | 10 | 2012 |
| Multi-label classification by ART-based neural networks and hierarchy extraction. F Benites, F Brucker, EP Sapozhnikova IJCNN-2010, 2788-2796, 2010 | 9 | 2010 |
| AFC: ART-based fuzzy classifier EP Sapozhnikova, W Rosenstiel International Conference on Knowledge-Based and Intelligent Information and …, 2003 | 9 | 2003 |
| Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. F Benites, EP Sapozhnikova LWA, 150-155, 2014 | 6 | 2014 |
| A modified search procedure for the ART neural networks EP Sapozhnikova, VP Lunin IEEE-INNS-ENNS International Joint Conference on Neural Networks 5, 541-546, 2000 | 6 | 2000 |
| Generalized Association Rules for Connecting Biological Ontologies. F Benites, EP Sapozhnikova BIOINFORMATICS, 229-236, 2013 | 5 | 2013 |
| Improving multi-label classification by means of cross-ontology association rules F Benites, E Sapozhnikova bioinformatics 2 (9), 20, 2015 | 3 | 2015 |
| Using the neural networks dARTMAP and Fuzzy ARTMAP for quality testing task in semiconductor industry Sapozhnikova E., Lunin V., Ludwig L., Rosenstiel, W. ANNIE-99, 1169-1176, 1999 | 2* | 1999 |
