People

PHD STUDENTS

ING. KAREL ČEMUS

Ing. Karel Čemus
Praha 2, Karlovo náměstí 13, E-434
+420 224 357 639
cemuskar@fel.cvut.cz

Čemus, K., Černý, T., Mátl, L., Donahoo, M.J. 2016 Aspect, Rich, and Anemic Domain Models in Enterprise Information Systems, detail

Čemus, K., Klimeš, F., Kratochvíl, O., Černý, T. 2016 Distributed Multi-platform Context-aware User Interface for Information Systems, detail

Čemus, K., Černý, T. 2016 Business Documentation Derivation from Aspect-driven Enterprise Information Systems, detail

Čemus, K., Černý, T. 2016 Automated Extraction of Business Documentation in Enterprise Information Systems, detail

Čemus, K. 2016 Context-aware Input Validation in Information Systems, detail

Čemus, K. 2015 Evaluation of Business Rules Maintenance in Enterprise Information Systems, detail

Čemus, K., Černý, T., Donahoo, M.J. 2015 Evaluation of Approaches to Business Rules Maintenance in Enterprise Information Systems, detail

Čemus, K., Černý, T., Mátl, L., Donahoo, M.J. 2015 Enterprise Information Systems: Comparison of Aspect-driven and MVC-like Approaches, detail

Čemus, K., Černý, T., Donahoo, M.J. 2015 Automated Business Rules Transformation into a Persistence Layer, detail

Černý, T., Mátl, L., Čemus, K., Donahoo, M.J. 2015 Evaluation of Separated Concerns in Web-based Delivery of User Interfaces, detail

Čemus, K., Černý, T. 2014 Aspect-driven design of Information Systems, detail

Buryan, P. 2014 Refinement Action-Based Framework for Utilization of Softcomputing in Inductive Learning, detail

Čemus, K., Černý, T. 2013 Towards Effective Business Logic Design, detail

Černý, T., Čemus, K., Donahoo, M. J., Song, M. J. 2013 Aspect-driven, Data-reflective and Context-aware User Interfaces Design, detail

Zemanová, M. 2012 Exploiting Ontologies and Higher Order Knowledge in Relational Data Mining, detail

Karel, F. 2009 Quantitative Association Rules Mining, detail

Jiřina, M. 1998 Initial Setting of Weights in the Kohonen Maps, detail

Rozinek, J. 1996 Predikce časových řad neuronovými sítěmi, detail