Mohamed Jaward Bah

Orcid: 0000-0002-7335-602X

According to our database1, Mohamed Jaward Bah authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., April, 2024

2023
Enhanced payload volume in the least significant bits image steganography using hash function.
PeerJ Comput. Sci., 2023

Interpretable Image Recognition in Hyperbolic Space.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection.
Algorithms, 2022

A Generative Adversarial Active Learning Method for Effective Outlier Detection.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks.
Proceedings of the Database and Expert Systems Applications, 2022

2021
EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams.
Complex., 2021

VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
A Parametric and Non-Parametric Approach for High-Accurate Outlier Detection.
J. Inf. Sci. Eng., 2020

2019
Progress in Outlier Detection Techniques: A Survey.
IEEE Access, 2019

An Effective Minimal Probing Approach With Micro-Cluster for Distance-Based Outlier Detection in Data Streams.
IEEE Access, 2019

Real-Time Simulation of IoT Based Smart Home Live Mirror using WSN.
Proceedings of the International Conference on Frontiers of Information Technology, 2019

2018
CrowdOLA: Online Aggregation on Duplicate Data Powered by Crowdsourcing.
J. Comput. Sci. Technol., 2018


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