Alladoumbaye Ngueilbaye

According to our database, Alladoumbaye Ngueilbaye authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bilinear Pairing and Deffie-Hellman Based Anonymous Authentication Protocol for the Internet of Vehicles.

Mustafa A. Al Sibahee, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Jianqiang Li, Chengwen Luo, Alladoumbaye Ngueilbaye, Junchao Ma, Yijing Huang, Jin Zhang, Husam A. Neamah

IEEE Trans. Dependable Secur. Comput., 2026

Guest editorial: Mixture of experts and ensemble learning for big data.

Mohammad Sultan Mahmud, Diego García-Gil, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun

Inf. Fusion, 2026

Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.

Alladoumbaye Ngueilbaye, Sibagatullin Ratmir, Yongda Cai, Mohammad Sultan Mahmud, Xudong Sun, Andrey Nechesov, Sergey Goncharov, Joshua Zhexue Huang

Expert Syst. Appl., 2026

2025

Graph-augmented contrastive clustering for time series data.

Qin Zhang, Zhuoluo Liang, Alladoumbaye Ngueilbaye, Han Liu, Hong Zhou, Joshua Zhexue Huang

Knowl. Based Syst., 2025

Graph attention-based neural collaborative filtering for item-specific recommendation system using knowledge graph.

Ehsan Elahi, Sajid Anwar, Mousa Al-Kfairy, Joel J. P. C. Rodrigues, Alladoumbaye Ngueilbaye, Zahid Halim, Muhammad Waqas

Expert Syst. Appl., 2025

Dynamic graph neural network with historic-sequential information representation.

Adam Abakar Hamid, Anping Zhao, Alladoumbaye Ngueilbaye

Eng. Appl. Artif. Intell., 2025

2024

Blockchain-Based Authentication Schemes in Smart Environments: A Systematic Literature Review.

Mustafa A. Al Sibahee, Zaid Ameen Abduljabbar, Alladoumbaye Ngueilbaye, Chengwen Luo, Jianqiang Li, Yijing Huang, Jin Zhang, Naveed Khan, Vincent Omollo Nyangaresi, Ali Hasan Ali

IEEE Internet Things J., November, 2024

A scalable and flexible basket analysis system for big transaction data in Spark.

Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang

Inf. Process. Manag., March, 2024

Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization.

Yongda Cai, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun

Appl. Soft Comput., 2024

2023

Data quality model for assessing public COVID-19 big datasets.

Alladoumbaye Ngueilbaye, Joshua Zhexue Huang, Mehak Khan, Hongzhi Wang

J. Supercomput., November, 2023

Approximate Clustering Ensemble Method for Big Data.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Alladoumbaye Ngueilbaye, Kaishun Wu

IEEE Trans. Big Data, August, 2023

End-to-end multivariate time series classification via hybrid deep learning architectures.

Mehak Khan, Hongzhi Wang, Alladoumbaye Ngueilbaye, Aya El-Fatyany

Pers. Ubiquitous Comput., April, 2023

2021

SDLER: stacked dedupe learning for entity resolution in big data era.

Alladoumbaye Ngueilbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Ibrahim A. Elgendy

J. Supercomput., 2021

Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification.

Mehak Khan, Hongzhi Wang, Alladoumbaye Ngueilbaye

Neural Process. Lett., 2021

Methods for detecting and correcting contextual data quality problems.

Alladoumbaye Ngueilbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Ibrahim A. Elgendy, Sahalu B. Junaidu

Intell. Data Anal., 2021

Modulo 9 model-based learning for missing data imputation.

Alladoumbaye Ngueilbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Sahalu B. Junaidu

Appl. Soft Comput., 2021