| A new Attack Composition for Network Security F Beer, T Hofer, D Karimi, U Bühler 10. DFN-Forum Communication Technology, 11-20, 2017 | 36 | 2017 |
| Feature Selection for Flow-based Intrusion Detection Using Rough Set Theory F Beer, U Bühler IEEE 14th International Conference on Networking, Sensing and Control (ICNSC …, 2017 | 20 | 2017 |
| Analysing Contextualized Attention Metadata for Self-regulated Learning-A Supporting Framework for Self-Monitoring and Self-Reflection. M Scheffel, F Beer, M Wolpers, J Cordeiro, B Shishkov, A Verbraeck, ... CSEDU (1), 341-346, 2010 | 8* | 2010 |
| Analyzing contextualized attention metadata with rough set methodologies to support self-regulated learning M Scheffel, M Wolpers, F Beer Advanced Learning Technologies (ICALT), 2010 IEEE 10th International …, 2010 | 7 | 2010 |
| A Concept for Intelligent Collaborative Network Intrusion Detection C Gruhl, F Beer, H Heck, B Sick, U Buehler, A Wacker, S Tomforde ARCS 2017; 30th International Conference on Architecture of Computing …, 2017 | 6 | 2017 |
| An In-Database Rough Set Toolkit. F Beer, U Bühler LWA, 146-157, 2015 | 5 | 2015 |
| In-Database Feature Selection Using Rough Set Theory F Beer, U Bühler International Conference on Information Processing and Management of …, 2016 | 4 | 2016 |
| In-Database Rule Learning Under Uncertainty: A Variable Precision Rough Set Approach F Beer, U Bühler Uncertainty Management with Fuzzy and Rough Sets, 257-287, 2019 | 2 | 2019 |
| Learning Adaptive Decision Rules Inside Relational Database Systems F Beer, U Bühler 2nd International Symposium on Fuzzy and Rough Sets, 2017 | 2 | 2017 |
| A Hybrid Flow-based Intrusion Detection System Incorporating Uncertainty F Beer kassel university press, 2022 | | 2022 |
Maren ScheffelProf. of Educational Data Science, Ruhr-Universität Bochum在 rub.de 的电子邮件经过验证
