| A brief survey of text mining A Hotho, A Nürnberger, G Paaß LDV Forum-GLDV Journal for Computational Linguistics and Language Technology …, 2005 | 1736 | 2005 |
| From recombination of genes to the estimation of distributions I. Binary parameters H Mühlenbein, G Paass International conference on parallel problem solving from nature, 178-187, 1996 | 1705 | 1996 |
| Authorship attribution with support vector machines J Diederich, J Kindermann, E Leopold, G Paass Applied intelligence 19, 109-123, 2003 | 563 | 2003 |
| Improved Phishing Detection using Model-Based Features. A Bergholz, JH Chang, G Paass, F Reichartz, S Strobel CEAS, 2008 | 232 | 2008 |
| New filtering approaches for phishing email A Bergholz, J De Beer, S Glahn, MF Moens, G Paaß, S Strobel Journal of computer security 18 (1), 7-35, 2010 | 224 | 2010 |
| Disclosure risk and disclosure avoidance for microdata G Paass Journal of Business & Economic Statistics 6 (4), 487-500, 1988 | 187 | 1988 |
| Künstliche Intelligenz: Was steckt hinter der Technologie der Zukunft? G Paaß, D Hecker Springer Fachmedien Wiesbaden GmbH, 2020 | 83 | 2020 |
| Statistical match: evaluation of existing procedures and improvements by using additional information G Paass Microanalytic Simulation Models to Support Social and Financial Policy, 401-420, 1986 | 75 | 1986 |
| Assessing and improving neural network predictions by the bootstrap algorithm G Paass Advances in Neural Information Processing Systems 5, 1992 | 73 | 1992 |
| Probabilistic logic G Paass | 65 | 1988 |
| From names to entities using thematic context distance A Pilz, G Paaß Proceedings of the 20th ACM international conference on Information and …, 2011 | 61 | 2011 |
| Data mining and text mining for science & technology research E Leopold, M May, G Paaß Handbook of quantitative science and technology research: the use of …, 2004 | 58 | 2004 |
| Datenzugang, Datenschutz und Anonymisierung G Paaß, U Wauschkuhn Oldenbourg Wissenschaftsverlag, 1985 | 58 | 1985 |
| Foundation models for natural language processing: Pre-trained language models integrating media G Paaß, S Giesselbach Springer Nature, 2023 | 54 | 2023 |
| Dependency tree kernels for relation extraction from natural language text F Reichartz, H Korte, G Paass Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009 | 50 | 2009 |
| SVM classification using sequences of phonemes and syllables G Paaß, E Leopold, M Larson, J Kindermann, S Eickeler European Conference on Principles of Data Mining and Knowledge Discovery …, 2002 | 49 | 2002 |
| Machine learning for document structure recognition G Paaß, I Konya Modeling, Learning, and Processing of Text Technological Data Structures …, 2012 | 47 | 2012 |
| Semantic relation extraction with kernels over typed dependency trees F Reichartz, H Korte, G Paass Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 42 | 2010 |
| Bayesian query construction for neural network models G Paass, J Kindermann Advances in Neural Information Processing Systems 7, 1994 | 41 | 1994 |
| A logic-based approach to relation extraction from texts T Horváth, G Paass, F Reichartz, S Wrobel Inductive Logic Programming: 19th International Conference, ILP 2009, Leuven …, 2010 | 26 | 2010 |
