Machine Learning and Knowledge Extraction | Highly Cited Papers in 2025 (II)

1. “A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review”
by Vahid Arabzadeh and Raphael Frank
Mach. Learn. Knowl. Extr. 2025, 7(4), 153; https://doi.org/10.3390/make7040153
Available online: https://www.mdpi.com/2504-4990/7/4/153

2. “AI-Enabled IoT Intrusion Detection: Unified Conceptual Framework and Research Roadmap”
by Antonio Villafranca, Kyaw Min Thant, Igor Tasic and Maria-Dolores Cano
Mach. Learn. Knowl. Extr. 2025, 7(4), 115; https://doi.org/10.3390/make7040115
Available online: https://www.mdpi.com/2504-4990/7/4/115

3. “Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis”
by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli and Cristian Randieri
Mach. Learn. Knowl. Extr. 2025, 7(2), 54; https://doi.org/10.3390/make7020054
Available online: https://www.mdpi.com/2504-4990/7/2/54

4. “AI-Driven Intelligent Financial Forecasting: A Comparative Study of Advanced Deep Learning Models for Long-Term Stock Market Prediction”
by Sira Yongchareon
Mach. Learn. Knowl. Extr. 2025, 7(3), 61; https://doi.org/10.3390/make7030061
Available online: https://www.mdpi.com/2504-4990/7/3/61

5. “AE-DTNN: Autoencoder–Dense–Transformer Neural Network Model for Efficient Anomaly-Based Intrusion Detection Systems”
by Hesham Kamal and Maggie Mashaly
Mach. Learn. Knowl. Extr. 2025, 7(3), 78; https://doi.org/10.3390/make7030078
Available online: https://www.mdpi.com/2504-4990/7/3/78

6. “Machine Learning Applied to Professional Football: Performance Improvement and Results Prediction”
by Diego Moya, Christian Tipantuña, Génesis Villa, Xavier Calderón-Hinojosa, Belén Rivadeneira and Robin Álvarez
Mach. Learn. Knowl. Extr. 2025, 7(3), 85; https://doi.org/10.3390/make7030085
Available online: https://www.mdpi.com/2504-4990/7/3/85

7. “AlzheimerRAG: Multimodal Retrieval-Augmented Generation for Clinical Use Cases”
by Aritra Kumar Lahiri and Qinmin Vivian Hu
Mach. Learn. Knowl. Extr. 2025, 7(3), 89; https://doi.org/10.3390/make7030089
Available online: https://www.mdpi.com/2504-4990/7/3/89

8. “Multimodal Deep Learning for Android Malware Classification”
by James Arrowsmith, Teo Susnjak and Julian Jang-Jaccard
Mach. Learn. Knowl. Extr. 2025, 7(1), 23; https://doi.org/10.3390/make7010023
Available online: https://www.mdpi.com/2504-4990/7/1/23

9. “A Multi-Criteria Decision-Making Approach for the Selection of Explainable AI Methods”
by Miroslava Matejová and Ján Paralič
Mach. Learn. Knowl. Extr. 2025, 7(4), 158; https://doi.org/10.3390/make7040158
Available online: https://www.mdpi.com/2504-4990/7/4/158

10. “Research Frontiers in Machine Learning & Knowledge Extraction”
by Andreas Holzinger, Luca Longo, Angelo Cangelosi and Javier Del Ser
Mach. Learn. Knowl. Extr. 2026, 8(1), 6; https://doi.org/10.3390/make8010006
Available online: https://www.mdpi.com/2504-4990/8/1/6