Profil Alex Sarishvili


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




  • 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).