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Jumabek Alikhanov
Jumabek Alikhanov
Inha Unviersity, Computer Science
Verified email at inha.ac.kr - Homepage
Title
Cited by
Cited by
Year
1D CNN based network intrusion detection with normalization on imbalanced data
M Azizjon, A Jumabek, W Kim
2020 international conference on artificial intelligence in information and …, 2020
2372020
Performance evaluation of deep learning based network intrusion detection system across multiple balanced and imbalanced datasets
A Meliboev, J Alikhanov, W Kim
Electronics 11 (4), 515, 2022
812022
W-net: a CNN-based architecture for white blood cells image classification
C Jung, M Abuhamad, J Alikhanov, A Mohaisen, K Han, DH Nyang
arXiv preprint arXiv:1910.01091, 2019
352019
Rule based metadata extraction framework from academic articles
J Azimjonov, J Alikhanov
arXiv preprint arXiv:1807.09009, 2018
182018
Exploring human pose estimation and the usage of synthetic data for elderly fall detection in real-world surveillance
S Juraev, A Ghimire, J Alikhanov, V Kakani, H Kim
IEEE Access 10, 94249-94261, 2022
172022
Toward data-driven digital therapeutics analytics: Literature review and research directions
U Lee, G Jung, EY Ma, J San Kim, H Kim, J Alikhanov, Y Noh, H Kim
IEEE/CAA Journal of Automatica Sinica 10 (1), 42-66, 2023
162023
Investigating the effect of traffic sampling on machine learning-based network intrusion detection approaches
J Alikhanov, R Jang, M Abuhamad, D Mohaisen, D Nyang, Y Noh
IEEE Access 10, 5801-5823, 2021
142021
CatBoost-based network intrusion detection on imbalanced CIC-IDS-2018 dataset
A Jumabek, SS Yang, YT Noh
한국통신학회논문지 46 (12), 2191-2197, 2021
82021
Transfer learning using multiple convnet layers activation features with principal component analysis for image classification
B Byambajav, J Alikhanov, Y Fang, S Ko, GS Jo
지능정보연구 24 (1), 205-225, 2018
82018
Performance comparison of backbone networks for multi-tasking in self-driving operations
S Abdigapporov, S Miraliev, J Alikhanov, V Kakani, H Kim
2022 22nd International Conference on Control, Automation and Systems (ICCAS …, 2022
52022
W-Net: A CNN-based architecture for white blood cells image classification. arXiv 2019
C Jung, M Abuhamad, J Alikhanov, A Mohaisen, K Han, D Nyang
arXiv preprint arXiv:1910.01091, 0
5
Online Action Detection in Surveillance Scenarios: A Comprehensive Review and Comparative Study of State-of-the-Art Multi-Object Tracking Methods
J Alikhanov, H Kim
IEEE Access, 2023
42023
Edge device deployment of multi-tasking network for self-driving operations
S Miraliev, S Abdigapporov, J Alikhanov, V Kakani, H Kim
arXiv preprint arXiv:2210.04735, 2022
42022
Improved CS-RANSAC Algorithm Using K-Means Clustering
S Ko, UN Yoon, J Alikhanov, GS Jo
KIPS Transactions on Software and Data Engineering 6 (6), 315-320, 2017
42017
Transfer Learning Based on AdaBoost for Feature Selection from Multiple ConvNet Layer Features
J Alikhanov, MH Ga, S Ko, GS Jo
arXiv preprint arXiv:1602.00417, 2016
12016
Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction
J Alikhanov, P Zhang, Y Noh, H Kim
IEEE Internet of Things Journal, 2023
2023
전이학습 기반 다중 컨볼류션 신경망 레이어의 활성화 특징과 주성분 분석을 이용한 이미지 분류 방법
B Byambajav, J Alikhanov, Y Fang, S Ko, GS Jo
지능정보연구 24 (1), 205-225, 2018
2018
Unsupervised feature learning for classification
M Abdullaev, J Alikhanov, S Ko, GS Jo
한국컴퓨터정보학회 학술발표논문집 24 (2), 51-54, 2016
2016
Obtaining Better Image Representations by Combining Complementary Activation Features of Multiple ConvNet Layers for Transfer Learning.
J Alikhanov, S Ko, JG Sik
arXiv preprint arXiv:1602.00417, 2016
2016
다중 신경망 레이어에서 특징점을 선택하기 위한 전이 학습 기반의 AdaBoost 기법
주마벡, 가명현, 고승현, 조근식
한국정보처리학회 학술대회논문집 23 (1), 633-635, 2016
2016
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