Kwabena Sarpong
Orcid: 0000-0002-2771-7074
According to our database1,
Kwabena Sarpong
authored at least 14 papers
between 2021 and 2025.
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Bibliography
2025
Masked hybrid attention with Laplacian query fusion and tripartite sequence matching for medical image segmentation.
Neural Comput. Appl., March, 2025
Self-Correlation Network With Triple Contrastive Learning for Hyperspectral Image Classification With Noisy Labels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels.
Eng. Appl. Artif. Intell., 2025
Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI - LIME & SHAP.
Biomed. Signal Process. Control., 2025
Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
2024
Hyperspectral image classification using Second-Order Pooling with Graph Residual Unit Network.
Expert Syst. Appl., March, 2024
Hazy to hazy free: A comprehensive survey of multi-image, single-image, and CNN-based algorithms for dehazing.
Comput. Sci. Rev., 2024
RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement.
Comput. Biol. Medicine, 2024
2023
Reseed Skipping of Linear Congruential Generator for Multi-level Image Steganography Security of Financial Data.
SN Comput. Sci., March, 2023
PiCovS: Pixel-Level With Covariance Pooling Feature and Superpixel-Level Feature Fusion for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
Multimodal Speech Emotion Recognition Using Modality-Specific Self-Supervised Frameworks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
Classification from Sky: A Robust Remote Sensing Time Series Image Classification Using Spatial Encoder and Multi-Fast Channel Attention.
J. King Saud Univ. Comput. Inf. Sci., November, 2022
2021
Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021