Profil Alex Sarishvili

Schwerpunkte/Kompetenzen

• Machine Learning, Deep Learning
  
• Bayessche und Chow-Liu-Netze
• Neuronale Netze
  
• Statistische Lerntheorie

 

Publikationen

Highlightpublikationen

• Sarishvili, A.; Winter, J.; Luhmann, H. J.; Mildenberger, E.:
  Probabilistic graphical model identifies clusters of EEG patterns in recordings from neonates.
  Clinical Neurophysiology 130, Pages 1342-1350 (2019).
  
• Sarishvili, A.; Wirsen, A.; Jirstrand, M.:
  On Chow-Liu forest based regularization of deep belief networks.
  Accepted full paper on 28th International Conference on Artificial Neural Networks, ICANN2019
• Sarishvili, A.; Hanselmann, G.:
  Software Reliability prediction via two different implementations of Bayesian model averaging.
  ECML/PKDD 2013, European conference on machine learning and principles and practice of knowledge discovery in databases. In workshop Proceedings COPEM2013: Solving complex machine learning problems with ensamble methods. Prag, (2013).
• Hanselmann, G.; Sarishvili, A.:
  Heterogenous redundancy in software quality prediction using a hybrid Bayesian approach.
  ITWM Report, 125, (2007).
• Sarishvili, A.; Andersson, Ch.; Franke, J.; Kroisandt, G.:
  On the Consistency of the Blocked Neural Network Estimator in Time Series Analysis.
  Neural Computation 18, Volume 10, Page 1-14, (2006).