Combining multiple imperfect advisors via majority vote is a standard way to improve decision reliability, but real advisors’ errors are correlated, which caps achievable accuracy and causes the benefit of additional advisors to saturate. Existing theory, effective-sample-size (ESS) approximations and correlated Condor...
Ahsan Habib Shihab, Aman Mussa, M. Mansurova· IEEE International Conferenc...· 0 citations
Skin cancer is a widespread disease that requires accurate classification methods. Deep
learning models can support the classification of different skin cancer classes. This study evaluates
several Convolutional Neural Network (CNN) models for this task. Transfer learning is applied to
adapt pretrained CNN architecture...
M. Mansurova, Anuar Nauryzbayev, Vegh Ladislav· Eurasian journal of mathemat...· 0 citations
The effectiveness of CNN–BiLSTM–CTC sequence modeling for offline recognition of handwritten Kazakh words in the Latin script using a convolutional recurrent neural network is demonstrated.
A. Shormakova, M. Mansurova, Beibitkhan Yerkegul et al.· Computers· 0 citations
PAT-ER, a decoder architecture with a normal token stream, an event-role register stream, and a primitive register stream, is introduced; the model is not a theorem prover and does not achieve perfect unseen tool-name copying; the contribution is a measured architecture signal and a usable, guarded interface.
N. Kadyrbek, M. Mansurova· Machine Learning and Knowled...· 1 citation
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