Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays. - Jaures Ebiele; Theophilus Ansah-Narh; Steve Djiokap; Emmanuel Proven-Adzri; Marcellin Atemkeng (SAICSIT, 2020)

Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks. - Jecinta Mulongo; Marcellin Atemkeng; Theophilus Ansah-Narh; Rockefeller Rockefeller; Gabin Maxime Nguegnang; Marco Andrea Garuti (Appl. Artif. Intell., 2020)

CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews. - Franklin Tchakounté; Athanase Esdras Yera Pagor; Jean-Claude Kamgang; Marcellin Atemkeng (Future Internet, 2020)

A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News. - Franklin Tchakounté; Ahmadou Faissal; Marcellin Atemkeng; Achille Ntyam (Inf., 2020)

An Efficient DCT-SVD Steganographic Approach Applied to JPEG Images. - Franklin Tchakounté; Priva Chassem Kamdem; Jean-Claude Kamgang; Hortense Boudjou Tchapgnouo; Marcellin Atemkeng (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2020)

WATS-SMS: A T5-Based French Wikipedia Abstractive Text Summarizer for SMS. - Jean Louis Ebongue Kedieng Fendji; Désiré Manuel Taira; Marcellin Atemkeng; Adam Musa Ali (Future Internet, 2021)

A Game Theoretical Model for Anticipating Email Spear-Phishing Strategies. - Franklin Tchakounté; Virgile Simé Nyassi; Duplex Elvis Houpa Danga; Kalum Priyanath Udagepola; Marcellin Atemkeng (EAI Endorsed Trans. Scalable Inf. Syst., 2021)

Mobile Money Phishing Cybercrimes: Vulnerabilities, Taxonomies, Characterization from an Investigation in Cameroon. - Alima Nzeket Njoya; Franklin Tchakounté; Marcellin Atemkeng; Kalum Priyanath Udagepola; Didier Bassolé (AFRICOMM, 2022)

Determinants of Cybercrime Victimization: Experiences and Multi-stage Recommendations from a Survey in Cameroon. - Jean Emmanuel Ntsama; Franklin Tchakounté; Dimitri Tchakounte Tchuimi; Ahmadou Faissal; Franck Arnaud Kuate Fotso; Joseph Yves Effa; Kalum Priyanath Udagepola; Marcellin Atemkeng (AFRICOMM, 2022)

Automatic Speech Recognition Using Limited Vocabulary: A Survey. - Jean Louis Fendji Kedieng Ebongue; Diane M. Tala; Blaise Omer Yenke; Marcellin Atemkeng (Appl. Artif. Intell., 2022)

Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks. - Gabin Maxime Nguegnang; Marcellin Atemkeng; Theophilus Ansah-Narh; Rockefeller Rockefeller; Jecinta Mulongo; Marco Andrea Garuti (CoRR, 2022)

What do Deep Neural Networks Learn in Medical Images? - Yusuf Brima; Marcellin Atemkeng (CoRR, 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; Roger Ianjamasimanana; Serges Zambou (Sensors, 2022)

Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife-Vehicle Collisions: A Review, Challenges, and New Perspectives. - Irene Nandutu; Marcellin Atemkeng; Patrice Okouma (Sensors, 2022)

Anomaly Detection in Power Generation Plants with Generative Adversarial Networks. - Marcellin Atemkeng; Toheeb Aduramomi Jimoh (ICECET, 2023)

Wine Feature Importance and Quality Prediction: A Comparative Study of Machine Learning Algorithms with Unbalanced Data. - Siphendulwe Zaza; Marcellin Atemkeng; Sisipho Hamlomo (SAFER-TEA, 2023)

Characterizing Mobile Money Phishing Using Reinforcement Learning. - Alima Nzeket Njoya; Vanelle Laure Tchaya Ngongag; Franklin Tchakounté; Marcellin Atemkeng; Claude Fachkha (IEEE Access, 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. - Irene Nandutu; Marcellin Atemkeng; Patrice Okouma; Nokubonga Mgqatsa; Jean Louis Ebongue Kedieng Fendji; Franklin Tchakounté (CoRR, 2023)

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants. - Marcellin Atemkeng; Victor Osanyindoro; Rockefeller Rockefeller; Sisipho Hamlomo; Jecinta Mulongo; Theophilus Ansah-Narh; Franklin Tchakounté; Arnaud Nguembang Fadja (CoRR, 2023)

Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda. - Irene Nandutu; Marcellin Atemkeng; Patrice Okouma (AI Soc., 2023)

Quantum hybrid algorithm for solving SAT problem. - Charles Moudina Varmantchaonala; Jean Louis Ebongue Kedieng Fendji; Jean Pierre Tchapet Njafa; Marcellin Atemkeng (Eng. Appl. Artif. Intell., 2023)

Quantum Natural Language Processing: A Comprehensive Survey. - Charles Moudina Varmantchaonala; Jean Louis Fendji Kedieng Ebongue; Julius Schöning; Marcellin Atemkeng (IEEE Access, 2024)

Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis. - Yusuf Brima; Marcellin Atemkeng (BioData Min., 2024)

Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions. - Sisipho Hamlomo; Marcellin Atemkeng; Yusuf Brima; Chuneeta Nunhokee; Jeremy Baxter (CoRR, 2024)

Ethics of Software Programming with Generative AI: Is Programming without Generative AI always radical? - Marcellin Atemkeng; Sisipho Hamlomo; Brian Welman; Nicole Oyentunji; Pouya Ataei; Jean Louis Ebongue Kedieng Fendji (CoRR, 2024)

Ensemble learning and deep learning-based defect detection in power generation plants. - Marcellin Atemkeng; Victor Osanyindoro; Rockefeller Rockefeller; Sisipho Hamlomo; Jecinta Mulongo; Theophilus Ansah-Narh; Franklin Tchakounté; Arnaud Nguembang Fadja (J. Intell. Syst., 2024)

A robust segmentation method combined with classification algorithms for field-based diagnosis of maize plant phytosanitary state. - Thierry Tchokogoué; Auguste Vigny Noumsi; Marcellin Atemkeng; Michèle Flore Yimga Fonkou; Louis Aimé Fono (J. Intell. Syst., 2024)

Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images. - Wandile Nhlapho; Marcellin Atemkeng; Yusuf Brima; Jean Claude Ndogmo (Inf., 2024)

Offline Content-based Recommendation System for Wikimedia Commons Contents. - Ahidjo Maitaigahasse; Jean Louis Ebongue Kedieng Fendji; Marcellin Atemkeng (ANT/EDI40, 2025)

Towards a web simulator for optimizing the placement of mesh nodes in a wireless mesh network. - Frank Miche; Jean Louis Ebongue Kedieng Fendji; Nelson Maguelva Mafai; Marcellin Atemkeng (ANT/EDI40, 2025)

Unsupervised anomaly detection in large-scale estuarine acoustic telemetry data. - Siphendulwe Zaza; Marcellin Atemkeng; Taryn S. Murray; John David Filmalter; Paul D. Cowley (CoRR, 2025)

Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression. - Sisipho Hamlomo; Marcellin Atemkeng (CoRR, 2025)

A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging. - Sisipho Hamlomo; Marcellin Atemkeng; Yusuf Brima; Chuneeta Nunhokee; Jeremy Baxter (Neural Comput. Appl., 2025)

Decoding Fake News and Hate Speech: A Survey of Explainable AI Techniques. - Mikel K. Ngueajio; Saurav K. Aryal; Marcellin Atemkeng; Gloria J. Washington; Danda B. Rawat (ACM Comput. Surv., 2025)