Marcellin Atemkeng
Orcid: 0000-0002-9020-3885
According to our database1,
Marcellin Atemkeng authored at least 48 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift.
CoRR, May, 2026
Bridging visual saliency and large language models for explainable deep learning in medical imaging.
CoRR, May, 2026
Unsupervised Electrofacies Classification and Porosity Characterization in the Offshore Keta Basin Using Wireline Logs.
CoRR, April, 2026
Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment.
CoRR, April, 2026
Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis.
CoRR, April, 2026
Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring.
CoRR, March, 2026
An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction.
CoRR, March, 2026
Object Recognition Using Deep Learning-Powered Glove With Flex and MPU Sensors Fusion.
J. Robotics, 2026
Unsupervised-explainable anomaly detection in large-scale estuarine acoustic telemetry data.
Ecol. Informatics, 2026
Clustering-based low-rank matrix approximation for multimodal medical image compression.
BioData Min., 2026
HP-NGD Circuit Theory With Generalized Exponential Kernel Fractional Derivative-Based Impedances.
IEEE Access, 2026
2025
J. Big Data, December, 2025
Robustness and Scalability Of Machine Learning for Imbalanced Clinical Data in Emergency and Critical Care.
CoRR, December, 2025
ACM Comput. Surv., July, 2025
A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging.
Neural Comput. Appl., June, 2025
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression.
CoRR, May, 2025
CoRR, February, 2025
Enhancing highway security and wildlife safety: Mitigating wildlife-vehicle collisions with deep learning and drone technology.
J. Intell. Syst., 2025
Towards a web simulator for optimizing the placement of mesh nodes in a wireless mesh network.
Proceedings of the 16th International Conference on Ambient Systems, 2025
Proceedings of the 16th International Conference on Ambient Systems, 2025
2024
Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images.
Inf., April, 2024
A robust segmentation method combined with classification algorithms for field-based diagnosis of maize plant phytosanitary state.
J. Intell. Syst., February, 2024
Ensemble learning and deep learning-based defect detection in power generation plants.
J. Intell. Syst., February, 2024
Ethics of Software Programming with Generative AI: Is Programming without Generative AI always radical?
CoRR, 2024
Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions.
CoRR, 2024
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis.
BioData Min., 2024
2023
Eng. Appl. Artif. Intell., May, 2023
Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda.
AI Soc., February, 2023
CoRR, 2023
Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology.
CoRR, 2023
Wine Feature Importance and Quality Prediction: A Comparative Study of Machine Learning Algorithms with Unbalanced Data.
Proceedings of the Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, 2023
Proceedings of the International Conference on Electrical, 2023
2022
Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife-Vehicle Collisions: A Review, Challenges, and New Perspectives.
Sensors, 2022
Radio Astronomical Antennas in the Central African Region to Improve the Sampling Function of the VLBI Network in the SKA Era?
Sensors, 2022
Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks.
CoRR, 2022
Appl. Artif. Intell., 2022
Determinants of Cybercrime Victimization: Experiences and Multi-stage Recommendations from a Survey in Cameroon.
Proceedings of the Towards new e-Infrastructure and e-Services for Developing Countries, 2022
Mobile Money Phishing Cybercrimes: Vulnerabilities, Taxonomies, Characterization from an Investigation in Cameroon.
Proceedings of the Towards new e-Infrastructure and e-Services for Developing Countries, 2022
2021
EAI Endorsed Trans. Scalable Inf. Syst., 2021
Future Internet, 2021
2020
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2020
A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News.
Inf., 2020
CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews.
Future Internet, 2020
Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks.
Appl. Artif. Intell., 2020
Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays.
Proceedings of the SAICSIT '20: Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020