Machine Learning and Knowledge Extraction | Top Viewed Papers in 2023

1. “A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS”
by Juan Terven, Diana-Margarita Córdova-Esparza and Julio-Alejandro Romero-González
Mach. Learn. Knowl. Extr. 2023, 5(4), 1680-1716; https://doi.org/10.3390/make5040083
Available online: https://www.mdpi.com/2504-4990/5/4/83

2. “Machine Learning and Prediction of Infectious Diseases: A Systematic Review”
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
Mach. Learn. Knowl. Extr. 2023, 5(1), 175-198; https://doi.org/10.3390/make5010013
Available online: https://www.mdpi.com/2504-4990/5/1/13

3. “XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process”
by Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
Mach. Learn. Knowl. Extr. 2023, 5(1), 78-108; https://doi.org/10.3390/make5010006
Available online: https://www.mdpi.com/2504-4990/5/1/6

4. “Systematic Review of Recommendation Systems for Course Selection”
by Shrooq Algarni and Frederick Sheldon
Mach. Learn. Knowl. Extr. 2023, 5(2), 560-596; https://doi.org/10.3390/make5020033
Available online: https://www.mdpi.com/2504-4990/5/2/33

5. “Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate”
by Mohammad Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves,
Aliakbar Hassanzadeh Benam and Fatemeh Hariri
Mach. Learn. Knowl. Extr. 2023, 5(3), 1023-1035; https://doi.org/10.3390/make5030053
Available online: https://www.mdpi.com/2504-4990/5/3/53

6. “Human Pose Estimation Using Deep Learning: A Systematic Literature Review”
by Esraa Samkari, Muhammad Arif, Manal Alghamdi and Mohammed A. Al Ghamdi
Mach. Learn. Knowl. Extr. 2023, 5(4), 1612-1659; https://doi.org/10.3390/make5040081
Available online: https://www.mdpi.com/2504-4990/5/4/81

7. “A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection”
by Emilija Strelcenia and Simant Prakoonwit
Mach. Learn. Knowl. Extr. 2023, 5(1), 304-329; https://doi.org/10.3390/make5010019
Available online: https://www.mdpi.com/2504-4990/5/1/19

8. “Detecting Arabic Cyberbullying Tweets Using Machine Learning”
by Alanoud Mohammed Alduailaj and Aymen Belghith
Mach. Learn. Knowl. Extr. 2023, 5(1), 29-42; https://doi.org/10.3390/make5010003
Available online: https://www.mdpi.com/2504-4990/5/1/3

9. “Evaluating the Role of Machine Learning in Defense Applications and Industry”
by Evaldo Jorge Alcántara Suárez and Victor Monzon Baeza
Mach. Learn. Knowl. Extr. 2023, 5(4), 1557-1569; https://doi.org/10.3390/make5040078
Available online: https://www.mdpi.com/2504-4990/5/4/78

10. “A Survey of Deep Learning for Alzheimer’s Disease”
by Qinghua Zhou, Jiaji Wang, Xiang Yu, Shuihua Wang and Yudong Zhang
Mach. Learn. Knowl. Extr. 2023, 5(2), 611-668; https://doi.org/10.3390/make5020035
Available online: https://www.mdpi.com/2504-4990/5/2/35