People

PHD STUDENTS

ING. JAN FESL

Fesl, J., Doležalová, Marie, Cehák, Jiří, Moos, M., Janeček, J., Šimek, P. 2016 Virtuální paralelní infrastruktury pro velká data v metabolomice, detail

Fesl, J., Cehák, Jiří, Doležalová, Marie, Janeček, J. 2016 CloudEVBench – Virtualization Technology Efficiency Testing Tool for the Distributed Infrastructures, detail

Fesl, J., Cehák, Jiří, Doležalová, Marie, Janeček, J. 2016 New Approach for Virtual Machines Consolidation In Heterogeneous Computing Systems, detail

Fesl, J., Moos, Martin, Šimek, Petr 2016 Metabolite Mapper (M2): New Processing-miningplatform for High Resolution Mass Spectral Metabolomic "Big Data", detail

Fesl, J., Doležalová, M., Drdák, F., Janeček, J. 2015 New Techniques of IEEE 802.11 Family Hotspots Attacks, Principles and Defense, detail

Fesl, J., Plch, L., Doležalová, M., Drdák, F. 2015 Live Migration of Virtual Distributed Computing Systems, detail

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