RTU Zinātniskās darbības rezultāti un resursi: Personāls

Informācija par autoru

Vārds, Uzvārds:

Andrey Bondarenko

Publikācijas

Atrasti 3 rezultāti tiek attēloti no 1 līdz 3.

Controlling Complexity and Accuracy of Classification Decision Tree Extracted from Trained Artificial Neural Network
(2019)

Andrey Bondarenko
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Automated Microorganisms Activity Detection on the Early Growth Stage Using Artificial Neural Networks
(2019)

Dmitrijs Bļizņuks, Aleksey Lihachev, Janis Liepins, Dilshat Uteshev, Jurijs Čižovs, Andrey Bondarenko, Katrīna Šmite
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Towards to Deep Neural Network Application with Limited Training Data: Synthesis of Melanoma's Diffuse Reflectance Spectral Images
(2019)

Katrīna Šmite, Dmitrijs Bļizņuks, Dilshat Uteshev, Ilze Lihacova, Aleksey Lihachev, Jurijs Čižovs, Andrey Bondarenko
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Informācija par autoru

Publikācijas

Controlling Complexity and Accuracy of Classification Decision Tree Extracted from Trained Artificial Neural Network (2019)

Automated Microorganisms Activity Detection on the Early Growth Stage Using Artificial Neural Networks (2019)

Towards to Deep Neural Network Application with Limited Training Data: Synthesis of Melanoma's Diffuse Reflectance Spectral Images (2019)

Controlling Complexity and Accuracy of Classification Decision Tree Extracted from Trained Artificial Neural Network
(2019)

Automated Microorganisms Activity Detection on the Early Growth Stage Using Artificial Neural Networks
(2019)

Towards to Deep Neural Network Application with Limited Training Data: Synthesis of Melanoma's Diffuse Reflectance Spectral Images
(2019)