Stanley Ebhohimhen Abhadiomhen

Orcid: 0000-0002-9509-1915

According to our database1, Stanley Ebhohimhen Abhadiomhen authored at least 21 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Diversified deep hierarchical kernel ensemble regression.
Multim. Tools Appl., May, 2025

Robust image representation learning via low-rank consistency regularization for subspace clustering.
Signal Image Video Process., April, 2025

Multiview subspace clustering via low-rank correlation analysis.
IET Comput. Vis., 2025

Health Risk Management Using Persuasive Technology: A Scoping Review.
Proceedings of the Persuasive Technology - 20th International Conference, 2025

Algorithmic Bias in Algorithm-Driven User Interfaces: Recommendations for Fairness.
Proceedings of the 13th International Workshop on Behavior Change Support Systems (BCSS 2025), 2025

2024
Image edge preservation via low-rank residuals for robust subspace learning.
Multim. Tools Appl., May, 2024

Spectral type subspace clustering methods: multi-perspective analysis.
Multim. Tools Appl., May, 2024

2023
Robust Label and Feature Space Co-Learning for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., November, 2023

Robust multiview spectral clustering via cooperative manifold and low rank representation induced.
Multim. Tools Appl., July, 2023

Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising.
Remote. Sens., May, 2023

Kernel ensemble support vector machine with integrated loss in shared parameters space.
Multim. Tools Appl., May, 2023

Deep Robust Low Rank Correlation With Unifying Clustering Structure for Cross Domain Adaptation.
IEEE Trans. Multim., 2023

Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning.
ACM Trans. Intell. Syst. Technol., 2023

Edge Structure Learning via Low Rank Residuals for Robust Image Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Supervised Shallow Multi-task Learning: Analysis of Methods.
Neural Process. Lett., 2022

Robust low-rank representation via residual projection for image classification.
Knowl. Based Syst., 2022

Coupled low rank representation and subspace clustering.
Appl. Intell., 2022

Robust Spectral Clustering via Low-Rank Sample Representation.
Appl. Comput. Intell. Soft Comput., 2022

2021
Multiview Common Subspace Clustering via Coupled Low Rank Representation.
ACM Trans. Intell. Syst. Technol., 2021

Low Rank Correlation Representation and Clustering.
Sci. Program., 2021

Multi-view intrinsic low-rank representation for robust face recognition and clustering.
IET Image Process., 2021


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