Emmanuel Ahishakiye
Orcid: 0000-0001-6598-2111
According to our database1,
Emmanuel Ahishakiye authored at least 9 papers
between 2020 and 2026.
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Bibliography
2026
Deep ensemble learning with convolutional and transformer models for brain stroke classification.
Discov. Artif. Intell., December, 2026
Prediction of maize yield in Uganda using CNN-LSTM architecture on a multimodal climate and remote sensing dataset.
Discov. Artif. Intell., December, 2026
Enhanced cervical cancer classification using convolutional tsetlin machines with transfer learning.
Discov. Artif. Intell., December, 2026
2025
Breast cancer classification using breast ultrasound images with a hybrid of transfer learning and Bayesian-optimized fast learning network.
Discov. Artif. Intell., December, 2025
2024
Deep Gaussian convolutional neural network model in classification of cassava diseases using spectral data.
J. Supercomput., January, 2024
Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines.
Discov. Artif. Intell., 2024
2022
An Ensemble Model Based on Learning Vector Quantization Algorithms for Early Detection of Cassava Diseases Using Spectral Data.
Proceedings of the Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs, 2022
2021
Blockchain technology needs for sustainable mineral supply chains: A framework for responsible sourcing of Cobalt.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021
2020
Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging.
BMC Medical Imaging, 2020