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.
    In: Clinical Neurophysiology 130, Pages 1342-1350 (2019).
  • Sarishvili, A.; Wirsen, A.; Jirstrand, M.:
    On Chow-Liu forest based regularization of deep belief networks.
    28th International Conference on Artificial Neural Networks and Machine Learning ICANN 2019: Workshop and Special Sessions.
    In: Lecture Notes in Computer Science (LNCS, volume 11731) Pages 353-364 (2019).
  • 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.
    In: Fraunhofer 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.
    In: Neural Computation 18, Volume 10, Pages 1-14 (2006).