Machine Learning and Knowledge Extraction | Top Downloaded Papers in 2021

1. “Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology”
by Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters and Klaus-Robert Müller
Mach. Learn. Knowl. Extr. 2021, 3(2), 392-413; https://doi.org/10.3390/make3020020
Available online: https://www.mdpi.com/2504-4990/3/2/392

2. “A Survey of Machine Learning-Based Solutions for Phishing Website Detection”
by Lizhen Tang and Qusay H. Mahmoud
Mach. Learn. Knowl. Extr. 2021, 3(3), 672-694; https://doi.org/10.3390/make3030034
Available online: http://www.mdpi.com/2504-4990/3/3/672

3. “Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing”
by Xuanchen Xiang and Simon Foo
Mach. Learn. Knowl. Extr. 2021, 3(3), 554-581; https://doi.org/10.3390/make3030029
Available online: http://www.mdpi.com/2504-4990/3/3/554

4. “Classification of Explainable Artificial Intelligence Methods through Their Output Formats”
by Giulia Vilone and Luca Longo
Mach. Learn. Knowl. Extr. 2021, 3(3), 615-661; https://doi.org/10.3390/make3030032
Available online: http://www.mdpi.com/2504-4990/3/3/615

5. “On the Scale Invariance in State of the Art CNNs Trained on ImageNet”
by Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge and Vincent Andrearczyk
Mach. Learn. Knowl. Extr. 2021, 3(2), 374-391; https://doi.org/10.3390/make3020019
Available online: http://www.mdpi.com/2504-4990/3/2/374

6. “Privacy and Trust Redefined in Federated Machine Learning”
by Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis and William J. Buchanan
Mach. Learn. Knowl. Extr. 2021, 3(2), 333-356; https://doi.org/10.3390/make3020017
Available online: http://www.mdpi.com/2504-4990/3/2/333

7. “Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability”
by Muhammad Rehman and Naimul Khan
Mach. Learn. Knowl. Extr. 2021, 3(3), 525-541; https://doi.org/10.3390/make3030027
Available online: http://www.mdpi.com/2504-4990/3/3/525

8. “Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain”
by Samanta Knapič, Avleen Malhi, Rohit Saluja and Kary Främling
Mach. Learn. Knowl. Extr. 2021, 3(3), 740-770; https://doi.org/10.3390/make3030037
Available online: http://www.mdpi.com/2504-4990/3/3/740

9. “A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors”
by Christos T. Alexakos, Yannis L. Karnavas, Maria Drakaki and Ioannis A. Tziafettas
Mach. Learn. Knowl. Extr. 2021, 3(1), 228-242; https://doi.org/10.3390/make3010011
Available online: http://www.mdpi.com/2504-4990/3/1/228

10. “Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2—Applications in Transportation, Industries, Communications and Networking and More Topics”
by Xuanchen Xiang, Simon Foo and Huanyu Zang
Mach. Learn. Knowl. Extr. 2021, 3(4), 863-878; https://doi.org/10.3390/make3040043
Available online: http://www.mdpi.com/2504-4990/3/4/863