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Marcellin Atemkeng

Showing results (1-10 of 8) with videos related to

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Biodata Mining|June 22, 2024
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysisYusuf Brima, Marcellin Atemkeng
Scientific Reports|June 10, 2026
An empirical study of machine learning robustness and scalability for imbalanced tabular clinical data in emergency and critical careYusuf Brima, Marcellin Atemkeng
Biodata Mining|March 25, 2026
Clustering-based low-rank matrix approximation for multimodal medical image compressionSisipho Hamlomo, Marcellin Atemkeng
Sensors (Basel, Switzerland)|April 12, 2022
Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife-Vehicle Collisions: A Review, Challenges, and New PerspectivesIrene Nandutu, Marcellin Atemkeng, Patrice Okouma
Sensors (Basel, Switzerland)|November 11, 2022
Radio Astronomical Antennas in the Central African Region to Improve the Sampling Function of the VLBI Network in the SKA Era?Marcellin Atemkeng, Patrice Okouma, Eric Maina, et al.
Data in Brief|March 14, 2025
Towards precision agriculture: A dataset for early detection of corn leaf pestsThierry Tchokogoué, Auguste Vigny Noumsi, Marcellin Atemkeng, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray ImagesYusuf Brima, Marcellin Atemkeng, Stive Tankio Djiokap, et al.
Data in Brief|February 24, 2025
A dataset of annotated African plum images from Cameroon for AI-based quality assessmentArnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Biodata Mining|June 22, 2024
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysisYusuf Brima, Marcellin Atemkeng
Scientific Reports|June 10, 2026
An empirical study of machine learning robustness and scalability for imbalanced tabular clinical data in emergency and critical careYusuf Brima, Marcellin Atemkeng
Biodata Mining|March 25, 2026
Clustering-based low-rank matrix approximation for multimodal medical image compressionSisipho Hamlomo, Marcellin Atemkeng
Sensors (Basel, Switzerland)|April 12, 2022
Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife-Vehicle Collisions: A Review, Challenges, and New PerspectivesIrene Nandutu, Marcellin Atemkeng, Patrice Okouma
Sensors (Basel, Switzerland)|November 11, 2022
Radio Astronomical Antennas in the Central African Region to Improve the Sampling Function of the VLBI Network in the SKA Era?Marcellin Atemkeng, Patrice Okouma, Eric Maina, et al.
Data in Brief|March 14, 2025
Towards precision agriculture: A dataset for early detection of corn leaf pestsThierry Tchokogoué, Auguste Vigny Noumsi, Marcellin Atemkeng, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray ImagesYusuf Brima, Marcellin Atemkeng, Stive Tankio Djiokap, et al.
Data in Brief|February 24, 2025
A dataset of annotated African plum images from Cameroon for AI-based quality assessmentArnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, et al.
Pageof 1