Marcellin Atemkeng

Orcid: 0000-0002-9020-3885

According to our database1, Marcellin Atemkeng authored at least 25 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images.
Inf., April, 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

Quantum Natural Language Processing: A Comprehensive Survey.
IEEE Access, 2024

2023
Quantum hybrid algorithm for solving SAT problem.
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

Anomaly Detection in Power Generation Plants with Generative Adversarial Networks.
CoRR, 2023

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants.
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

Characterizing Mobile Money Phishing Using Reinforcement Learning.
IEEE Access, 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

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

What do Deep Neural Networks Learn in Medical Images?
CoRR, 2022

Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks.
CoRR, 2022

Automatic Speech Recognition Using Limited Vocabulary: A Survey.
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
A Game Theoretical Model for Anticipating Email Spear-Phishing Strategies.
EAI Endorsed Trans. Scalable Inf. Syst., 2021

WATS-SMS: A T5-Based French Wikipedia Abstractive Text Summarizer for SMS.
Future Internet, 2021

2020
An Efficient DCT-SVD Steganographic Approach Applied to JPEG Images.
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


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