| 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 | 91 | 2015 |
| Multi-label classification and extracting predicted class hierarchies F Brucker, F Benites, E Sapozhnikova Pattern Recognition 44 (3), 724-738, 2011 | 50 | 2011 |
| Best practices in e-assessments with a special focus on cheating prevention D Von Gruenigen, FBA e Souza, B Pradarelli, A Magid, M Cieliebak 2018 IEEE global engineering education conference (EDUCON), 893-899, 2018 | 28 | 2018 |
| 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 | 22 | 2014 |
| Improving scalability of ART neural networks F Benites, E Sapozhnikova Neurocomputing 230, 219-229, 2017 | 20 | 2017 |
| An empirical comparison of flat and hierarchical performance measures for multi-label classification with hierarchy extraction F Brucker, F Benites, E Sapozhnikova Knowledge-Based and Intelligent Information and Engineering Systems: 15th …, 2011 | 20 | 2011 |
| Mining rare associations between biological ontologies F Benites, S Simon, E Sapozhnikova PloS one 9 (1), e84475, 2014 | 19 | 2014 |
| Classifying patent applications with ensemble methods F Benites, S Malmasi, M Zampieri arXiv preprint arXiv:1811.04695, 2018 | 18 | 2018 |
| CEASR: a corpus for evaluating automatic speech recognition MA Ulasik, M Hürlimann, F Germann, E Gedik, F Benites, M Cieliebak Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 17 | 2020 |
| spMMMP at GermEval 2018 Shared Task: Classification of Offensive Content in Tweets using Convolutional Neural Networks and Gated Recurrent Units D von Grunigen, R Grubenmann, F Benites, P von Däniken, M Cieliebak Proceedings of GermEval 2018, 14th Conference on Natural Language Processing …, 2018 | 15 | 2018 |
| Twist Bytes-German dialect identification with data mining optimization F Benites, R Grubenmann, P Von Däniken, D Von Gruenigen, JM Deriu, ... Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties …, 2018 | 11 | 2018 |
| Twistbytes-identification of cuneiform languages and german dialects at vardial 2019 F Benites de Azevedo e Souza, P Von Däniken, M Cieliebak 6th Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial …, 2019 | 10 | 2019 |
| 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 Data Mining: Concepts, Methodologies, Tools, and Applications, 125-141, 2013 | 10 | 2013 |
| Multi-Label Classification by ART-based Neural Networks and Hierarchy Extraction F Benites de Azevedo e Souza, F Brucker, E Sapozhnikova Neural Networks (IJCNN), The 2010 International Joint Conference on, 2788-2796, 2010 | 9* | 2010 |
| Design patterns for resource-constrained automated deep-learning methods L Tuggener, M Amirian, F Benites, P von Däniken, P Gupta, FP Schilling, ... AI 1 (4), 510-538, 2020 | 8 | 2020 |
| Zhaw-init at germeval 2020 task 4: Low-resource speech-to-text M Büchi, MA Ulasik, M Hürlimann, F Benites de Azevedo e Souza, ... 5th SwissText & 16th KONVENS Joint Conference, Zurich (online), 24-25 June 2020, 2020 | 6 | 2020 |
| TwistBytes--Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision) F Benites arXiv preprint arXiv:1908.06493, 2019 | 6 | 2019 |
| The reader's feeling and text-based emotions: the relationship between subjective self-reports, lexical ratings, and sentiment analysis E Werlen, C Imhof, F Benites, PB Bergamin SwissText 2019, Winterthur, 18-19 June 2019, 2019 | 6 | 2019 |
| Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. F Benites, EP Sapozhnikova LWA, 150-155, 2014 | 6 | 2014 |
Elena SapozhnikovaUniversity of KonstanzVerified email at uni-konstanz.de
