Profil Alex Sarishvili

Schwerpunkte/Kompetenzen

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

Publikationen

Highlightpublikationen

• Sarishvili, A.; Menzel, F.; Adrian, B. und Burr, J.:
  Machine Learning for Predictive Maintenance in Production Environments.
  In: Franke, J.; Schöbel, A. (eds) Statistical Machine Learning for Engineering with Applications. Lecture Notes in Statistics, vol 227, 2024. Springer, Cham. https://doi.org/10.1007/978-3-031-66253-9_4
• Sarishvili, A.; Burr, J.; Just, D.; Katsaouni, N. und Moser, K.:
  Plastic Extrusion Process Optimization by Inversion of Stacked Autoencoder Classification Machines.
  Chemie Ingenieur Technik. (April 2023)
• A. Sarishvili, M. Jirstrand, B. Adrian, A. Wirsen:
  Sparse inversion of stacked autoencoder classification machines
  Proceedings of Seventh International Congress on Information and Communication Technology, ICICT 2022, London, Volume 2
• Sarishvili, A.; Just, D.; Moser, K.; Wirsen, A.; Diemert, J.; Jirstrand, M.:
  Plastic Extrusion Process Optimization by Digital Twins
  Chemie Ingenieur Technik by Wiley _VCH. 93, No. 12 (2021)
• Gramsch, S.; Sarishvili, A.; Schmeißer, A.:
  Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks
  In: Advances in Polymer Technology Vol 3 (2020).
  
• 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).