Abdulaziz Anorboev

Orcid: 0000-0003-1416-7138

According to our database1, Abdulaziz Anorboev authored at least 11 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023
Ensemble of top3 prediction with image pixel interval method using deep learning.
Comput. Sci. Inf. Syst., 2023

ICNN-Ensemble: An Improved Convolutional Neural Network Ensemble Model for Medical Image Classification.
IEEE Access, 2023

KeepNMax: Keep N Maximum of Epoch-Channel Ensemble Method for Deep Learning Models.
IEEE Access, 2023

MICL-UNet: Multi-Input Cross-Layer UNet Model for Classification of Diseases in Agriculture.
IEEE Access, 2023

Classifying Chicken-Made Food Images Using Enhanced MobilNetV2.
Proceedings of the Advances in Computational Collective Intelligence, 2023

2022
Input Image Pixel Interval method for Classification Using Transfer Learning.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

SSTop3: Sole-Top-Three and Sum-Top-Three Class Prediction Ensemble Method Using Deep Learning Classification Models.
Proceedings of the Advances in Computational Collective Intelligence, 2022

ETop3PPE: EPOCh's Top-Three Prediction Probability Ensemble Method for Deep Learning Classification Models.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

An Image Pixel Interval Power (IPIP) Method Using Deep Learning Classification Models.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022


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